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Li, YaoGuang, and HeChi Gan. "Tourism Information Data Processing Method Based on Multi-Source Data Fusion." Journal of Sensors 2021 (July 31, 2021): 1–12. http://dx.doi.org/10.1155/2021/7047119.
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Urban social civilization and the quality of life of residents are gradually improved, and the development scale and trend of the leisure tourism industry have been growing. This paper constructs a multi-source data fusion model based on an ensemble learning algorithm, uses Ctrip 2020 open data set to train the model, and then obtains the tourism information data processing and prediction results. This paper takes the data of Ctrip as the training set and compares the trained model with the data of tunic and Feizhu. In this paper, sensor detection technology is used to analyze many famous scenic spots in China, including tourist type, gender, and location. The results show that tourism feature extraction results are consistent with data from trending flying bamboo, tunics, and other websites, according to the results of a multi-source fusion of tourism information. Among them, in the data of the first half of 2020, the prediction accuracy of the model after data processing is about 62%. Affected by the epidemic situation, the accuracy of the model is low. In the second half of the year, the prediction accuracy is 78%, which can be used to fuse tourism information in a short time. Therefore, the data show that the model has high learning ability and high trend prediction ability in tourism data processing, which can provide necessary information support for tourists.
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Li, Xiaoxuan, Qi Wu, Geng Peng, and Benfu Lv. "Tourism forecasting by search engine data with noise-processing." African Journal of Business Management 10, no. 6 (March 28, 2016): 114–30. http://dx.doi.org/10.5897/ajbm2015.7945.
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Cardoso, Lucília, Noelia Araújo Vila, Arthur Filipe de Araújo, and Francisco Dias. "Food tourism destinations’ imagery processing model." British Food Journal 122, no. 6 (May 17, 2019): 1833–47. http://dx.doi.org/10.1108/bfj-08-2018-0557.
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Purpose Over the last two decades, the concept of destination imagery (DY) has gained relevance in the academic literature due to its central role in the tourists’ destination choice process. However, there is still much to be explored within this topic, especially concerning DY processing. More specifically, the way external stimuli are processed in tourists’ memory is still unexplored. In this context, the purpose of this paper is to examine how DY is processed in individuals’ memories upon the reception of verbal stimuli related to food tourism destinations. Design/methodology/approach Through an online multilingual survey, imagery elements associated with European and Asian tourists’ favourite food tourism destinations were collected. Through a categorical content analysis, tourists’ perceptions were classified within Echtner and Ritchie’s (1993) tri-dimensional model’s dimensions. Results were examined against previous theories on DY. Moreover, a comparative analysis between the imagery of food tourism destinations held by Europeans and Asians tourists was carried out. Findings Results show that DY processing, when triggered by a food tourism destination stimulus, leans towards the holistic dimension, which reinforces previous theories on the topic, such as the very definition of destination image (DI), as well as the role of food on destination image. Moreover, differences were found between the type of destinations and the imagery processed by European and Asian tourists. Research limitations/implications The study is based on a significant data set, which comprised 1,186 responses, representativeness within the research universe cannot be assured. Although relatively equivalent volumes of data were collected from each of the two continents, there are significant discrepancies among the proportions of respondents from different countries within those two groups. Additionally, our theoretical model requires further validation through hypothesis verification procedures. This work builds theory, rather than testing it. In this context, it opens a research avenue for future studies adopting a more positivistic philosophical stance to research, which could submit the theories provided here to the scrutiny of rigorous, hypothesis testing, quantitative methods. Practical implications This paper provides an initial idea for destination managers about which aspects to highlight in their marketing campaigns. This particularly applies to destinations to which ethnic food is a relevant part of the tourist appeal, and whose managers intend to attract repeat visitors. Social implications The present study’s findings imply a series of suggestions for tourism practitioners. First, they provide an initial idea for destination managers about which aspects to highlight in their marketing campaigns. Originality/value The present study represents a first initiative of building a theoretical model of food tourism destinations’ imagery processing. Findings also provide original theoretical contributions to the concept of DY and lead to relevant managerial insights, particularly, into destinations aiming at attracting repeat, food-oriented tourists.
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Makwindi, Ngonidzashe, and Joram Ndlovu. "Prospects and Challenges of Community-Based Tourism as a Livelihood Diversification Strategy at Sehlabathebe National Park in Lesotho." African Journal of Hospitality, Tourism and Leisure 10(1), no. 10(1) (February 28, 2021): 333–48. http://dx.doi.org/10.46222/ajhtl.19770720-104.
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The purpose of this article was to examine the prospects and challenges of community based tourism as a livelihood diversification strategy for people living adjacent to the Sehlabathebe National Park in Lesotho. The main objective was to explore how rural communities living close to the World Heritage Site shift and diversity their livelihoods from farm to non-farm activities in order to sustain their livelihoods. This study adopted a mixed method approach. Data was collected through surveys (286) and in-depth key informant interviews (11). The results show that local communities support the use of tourism as a livelihood diversification strategy to provide off-farm entrepreneurial opportunities. The greatest challenge is that local communities are often pushed into marginal lands, with harsh climatic conditions resulting in the disruption of local fabric and their economies. The study concludes that the establishment of Sehlabathebe National Park has not significantly improved the status quo of the community. Therefore, local communities should be given opportunities to sell their products and services to tourists and work in partnership with park authorities in conserving the park resources. The paper contributes to the current discourses on the use of community based tourism as a livelihood diversification strategy in rural areas.
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Mardani, Mohammad, Hossein Mardani, Lorenzo De Simone, Samuel Varas, Naoki Kita, and Takafumi Saito. "Integration of Machine Learning and Open Access Geospatial Data for Land Cover Mapping." Remote Sensing 11, no. 16 (August 15, 2019): 1907. http://dx.doi.org/10.3390/rs11161907.
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In-time and accurate monitoring of land cover and land use are essential tools for countries to achieve sustainable food production. However, many developing countries are struggling to efficiently monitor land resources due to the lack of financial support and limited access to adequate technology. This study aims at offering a solution to fill in such a gap in developing countries, by developing a land cover solution that is free of costs. A fully automated framework for land cover mapping was developed using 10-m resolution open access satellite images and machine learning (ML) techniques for the African country of Lesotho. Sentinel-2 satellite images were accessed through Google Earth Engine (GEE) for initial processing and feature extraction at a national level. Also, Food and Agriculture Organization’s land cover of Lesotho (FAO LCL) data were used to train a support vector machine (SVM) and bagged trees (BT) classifiers. SVM successfully classified urban and agricultural lands with 62 and 67% accuracy, respectively. Also, BT could classify the two categories with 81 and 65% accuracy, correspondingly. The trained models could provide precise LC maps in minutes or hours. they can also be utilized as a viable solution for developing countries as an alternative to traditional geographic information system (GIS) methods, which are often labor intensive, require acquisition of very high-resolution commercial satellite imagery, time consuming and call for high budgets.
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Barik, Rabindra K., Rojalina Priyadarshini, Rakesh K. Lenka, Harishchandra Dubey, and Kunal Mankodiya. "Fog Computing Architecture for Scalable Processing of Geospatial Big Data." International Journal of Applied Geospatial Research 11, no. 1 (January 2020): 1–20. http://dx.doi.org/10.4018/ijagr.2020010101.
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Geospatial data analysis using cloud computing platform is one of the promising areas for analysing, retrieving, and processing volumetric data. Fog computing paradigm assists cloud platform where fog devices try to increase the throughput and reduce latency at the edge of the client. In this research paper, the authors discuss two case studies on geospatial data analysis using Fog-assisted cloud computing namely, (1)Ganga River Basin Management System; and (2)Tourism Information Management of India. Both case studies evaluate proposed GeoFog architecture for efficient analysis and management of geospatial big data employing fog computing. The authors developed a prototype of GeoFog architecture using Intel Edison and Raspberry Pi devices. The authors implemented some of the open source compression methods for reducing the data transmission overload in the cloud. Proposed architecture performs data compression and overlay analysis of data. The authors further discussed the improvement in scalability and time analysis using proposed GeoFog architecture and Geospark tool. Discussed results show the merit of fog computing that holds an enormous promise for enhanced analysis of geospatial big data in river Ganga basin and tourism information management scenario.
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Chen, Wen, Zhiyun Xu, Xiaoyao Zheng, and Yonglong Luo. "Geo-Tagged Photo Metadata Processing Method for Beijing Inbound Tourism Flow." ISPRS International Journal of Geo-Information 8, no. 12 (December 3, 2019): 556. http://dx.doi.org/10.3390/ijgi8120556.
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Technological advances have led to numerous developments in data sources. Geo-tagged photo metadata has provided a new source of mass research data for tourism studies. A series of data processing methods centering on the various types of information contained in geo-tagged photo metadata have thus been proposed; as a result, the development of tourism studies based on such data has advanced. However, an in-depth study of the data processing methods designed to conduct tourist flow prediction based on geo-tagged photo metadata has not yet been conducted. In order to acquire accurate substitutive data regarding inbound flows in cities, this paper introduces and designs several methods, including data screening, text data similarity calculation, geographical location clustering, and time series data modelling, in order to realize a data preprocessing model for inbound tourist flows in cities based on geo-tagged photo metadata. Wherein, the entropy filtering method was introduced to aid in determining whether the data were posted by inbound tourists; whether the inbound persons’ activities were related to tourism was judged through the calculation of tag text similarity; an efficient clustering method based on geographic grid partition was designed for cases in which the tag values were empty; finally, the time series of the inbound tourist flows of a certain region and period were obtained through data statistics and normalization. For the empirical research, Beijing City in China was selected as the research case, after which the feasibility and accuracy of the methods proposed in this paper were verified through data correlation analysis between Flickr data and real statistical yearbook data, as well as analysis of the prediction results based on a machine learning algorithm. The data preprocessing method introduced and designed in this paper provides a reference for the study of geo-tagged photo metadata in the field of tourism flow prediction. These methods can effectively filter out inbound tourist flow data from geotag photo metadata, thus providing a novel, reliable, and low-cost research data source for urban inbound tourism flow forecasting.
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Alaei, Ali Reza, Susanne Becken, and Bela Stantic. "Sentiment Analysis in Tourism: Capitalizing on Big Data." Journal of Travel Research 58, no. 2 (December 14, 2017): 175–91. http://dx.doi.org/10.1177/0047287517747753.
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Advances in technology have fundamentally changed how information is produced and consumed by all actors involved in tourism. Tourists can now access different sources of information, and they can generate their own content and share their views and experiences. Tourism content shared through social media has become a very influential information source that impacts tourism in terms of both reputation and performance. However, the volume of data on the Internet has reached a level that makes manual processing almost impossible, demanding new analytical approaches. Sentiment analysis is rapidly emerging as an automated process of examining semantic relationships and meaning in reviews. In this article, different sentiment analysis approaches applied in tourism are reviewed and assessed in terms of the datasets used and performances on key evaluation metrics. The article concludes by outlining future research avenues to further advance sentiment analysis in tourism as part of a broader Big Data approach.
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Bustamante, Alexander, Laura Sebastia, and Eva Onaindia. "BITOUR: A Business Intelligence Platform for Tourism Analysis." ISPRS International Journal of Geo-Information 9, no. 11 (November 12, 2020): 671. http://dx.doi.org/10.3390/ijgi9110671.
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Integrating collaborative data in data-driven Business Intelligence (BI) system brings an opportunity to foster the decision-making process towards improving tourism competitiveness. This article presents BITOUR, a BI platform that integrates four collaborative data sources (Twitter, Openstreetmap, Tripadvisor and Airbnb). BITOUR follows a classical BI architecture and provides functionalities for data transformation, data processing, data analysis and data visualization. At the core of the data processing, BITOUR offers mechanisms to identify tourists in Twitter, assign tweets to attractions and accommodation sites from Tripadvisor and Airbnb, analyze sentiments in opinions issued by tourists, and all this using geolocation objects in Openstreetmap. With all these ingredients, BITOUR enables data analysis and visualization to answer questions like the most frequented places by tourists, the average stay length or the view of visitors of some particular destination.
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Origlia, Antonio, Silvia Rossi, Sergio Di Martino, Francesco Cutugno, and Maria Laura Chiacchio. "Multiple-source Data Collection and Processing into a Graph Database Supporting Cultural Heritage Applications." Journal on Computing and Cultural Heritage 14, no. 4 (December 31, 2021): 1–27. http://dx.doi.org/10.1145/3465741.
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The continuous growth of available resources on the web, both in the form of Linked Open Data and on Social Networks, provides an important opportunity to gather information concerning specific kinds of touristic activities like, for example, cultural tourism, eco-tourism, bike-tourism, and so on. Both decision makers and tourists can take advantage from these data, as demonstrated by previous works, with institutional actors foreseeing an increase in the use of this data to substitute other time-consuming and expensive approaches. However, managing multiple sources built with different goals and structures is not straightforward, so specific design choices must be made when assembling this kind of information. Graph databases represent an ideal way to combine multiple-source data but, to be successful, strategies accounting for inconsistencies and format differences have to be defined to support coherent analysis. Also, the continuously changing nature of crowd-sourced data makes it difficult, for the research community, to compare technological approaches to the different tasks that are linked to cultural heritage, from recommendation to management. To support the research effort in this direction, we describe the data ingestion and enrichment procedure we followed to organise knowledge coming from three different sources, namely Wikidata, Wikipedia, and Flickr, into a single, application-oriented, resource organised as a graph database. We present the potential use of this resource to perform multiple source analyses targeting the specific case of cultural tourism on a nationwide scale, and we propose its use as a shared benchmark for technological applications designed to support optimal management of cultural resources.
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Li, Qin, Shaobo Li, Sen Zhang, Jie Hu, and Jianjun Hu. "A Review of Text Corpus-Based Tourism Big Data Mining." Applied Sciences 9, no. 16 (August 12, 2019): 3300. http://dx.doi.org/10.3390/app9163300.
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With the massive growth of the Internet, text data has become one of the main formats of tourism big data. As an effective expression means of tourists’ opinions, text mining of such data has big potential to inspire innovations for tourism practitioners. In the past decade, a variety of text mining techniques have been proposed and applied to tourism analysis to develop tourism value analysis models, build tourism recommendation systems, create tourist profiles, and make policies for supervising tourism markets. The successes of these techniques have been further boosted by the progress of natural language processing (NLP), machine learning, and deep learning. With the understanding of the complexity due to this diverse set of techniques and tourism text data sources, this work attempts to provide a detailed and up-to-date review of text mining techniques that have been, or have the potential to be, applied to modern tourism big data analysis. We summarize and discuss different text representation strategies, text-based NLP techniques for topic extraction, text classification, sentiment analysis, and text clustering in the context of tourism text mining, and their applications in tourist profiling, destination image analysis, market demand, etc. Our work also provides guidelines for constructing new tourism big data applications and outlines promising research areas in this field for incoming years.
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Muningsih, Elly, Noor Hasan, and Gunawan Budi Sulistyo. "Penerapan Metode Principle Component Analysis (PCA) untuk Clustering Data Kunjungan Wisatawan Mancanegara ke Indonesia." Bianglala Informatika 8, no. 1 (March 31, 2020): 58–62. http://dx.doi.org/10.31294/bi.v8i1.8470.
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The tourism sector is one of the country's biggest foreign exchange earners. Foreign tourist visits to Indonesia reached 16.1 million during 2019. Therefore foreign tourist visits become a very important thing. In this study clustering will be carried out or grouping data on foreign tourist visits into 5 groups for the category of countries with very high, high, high enough, low and very low visits. Data processing was performed using the K-Means clustering method and the Principle Component Analysis (PCA) dimension reduction method. From the data processing, K-Means modeling results combined with the PCA method resulted in a smaller or better Davies Bouldin Index (DBI) evaluation value of 0.310 compared to K-Means modeling alone which obtained a DBI value of 0.382. The tools used in data processing are RapidMiner. The results of clustering are expected to be a reference for related parties to maximize the promotion of overseas tourism.
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Fang, Hui, Chongcheng Chen, Xiaozu Wu, and Xiaoyan Ye. "FESRCT." Journal on Computing and Cultural Heritage 14, no. 3 (July 2021): 1–23. http://dx.doi.org/10.1145/3451994.
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We present a framework for the event semantic retrieval of cultural tourism. Nowadays, information and communication technologies are ubiquitous and pervasive and have greatly promoted the development of cultural tourism. Cultural tourism should utilize these technologies to improve a sense of participation and experience for cultural tourists by sorting out domain-specific cultural knowledge from tourism attractions systematically, building bridges between tourism resources and cultural connotation naturally and presenting the cultural changes behind tourism resources vividly. To the end, we present a complete framework that is suitable to event retrieval of cultural tourism, helping cultural tourists learn culture in all directions and in depth quickly and easily before their cultural tours, and local government create tourism cards through the dissemination of culture connotation as well. Our main inspiration is that story-telling would be an effective form of acceptance by cultural tourists to spread the culture behind tourism resources. Concretely, our framework includes data acquisition and preprocessing, data organization and processing, and data visualization components. The data acquisition and preprocessing component is responsible for collecting historical event texts and fusing text knowledge. The data organization and processing component enables an intuitive view on properties and relations of the event elements in terms of defined event ontology for cultural tourism and supports event semantic retrieval. The data visualization component provides a knowledge navigation through dynamic display and an interactive interface with modification function. We have conducted event semantic retrieval of Minnan culture and verified the feasibility and effectiveness of the framework.
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Astiti, Sagung Putri Chandra, Takahiro Osawa, and I. Wayan Nuarsa. "IDENTIFICATION OF SHORELINE CHANGES USING SENTINEL 2 IMAGERY DATA IN CANGGU COASTAL AREA." ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) 13, no. 2 (November 30, 2019): 191. http://dx.doi.org/10.24843/ejes.2019.v13.i02.p07.
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Coastal areas in the Canggu and Seminyak areas located in Badung Regency, Bali Province are very attractive tourism. The development of tourism has an impact on coastal conditions. The coastal conditions analyzed are changes in coastline that occurred during 2015-2019 using remote sensing. The satellite image data used in the analysis is Sentinel 2A image data that can be accessed for free with a spatial resolution of 10 meters. Image data processing is divided into three stages, namely preprocessing, processing, and post processing using Sentinel Application Platform (SNAP) software. The preprocessing stage includes the resampling, masking, and subset areas. The processing stage includes digitizing the coastal area, digitizing accuracy analysis using the Support Vector Machine (SVM) method, and the post processing stage including correction of shoreline changes. Bands in image data used for detection of coastal areas are band 8 (NIR), 8A (narrow NIR), 11 (SWIR), and 12 (SWIR). Based on the results of the analysis of shoreline changes carried out during 2015-2019, it was found that the average shoreline changes were 1.42 m / year with erosion conditions in which the dominant wind direction originated from the southwest towards the northeast coast of the sea of ??Bali. The results of digitizing the coastal area using the Fine Gaussian SVM method with the greatest accuracy value is 87.8%.
Keywords: Shoreline Change, Remote Sensing, Sentinel 2A, SVM, Wind Direction
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Nie, Xiao Ying, Pei Ji Shi, and Xin Min Wang. "Data Processing in Ecological Development and Environment Improvement by Analysis of the Relationship between Tourism Development and Urban Development." Advanced Materials Research 978 (June 2014): 169–73. http://dx.doi.org/10.4028/www.scientific.net/amr.978.169.
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With the help of social-economy statistical data of Dunhuang City during 1987-2012, based on the related data processing technology, this paper measure the coordination between tourism development and urban development in Dunhuang City through TOPSIS evaluation method, and analyses the reasons of the coordinated development. Results show that the tourism development and urban development coordination is continuously increasing during the 1987-2012 of Dunhuang city, illustrate the development maintain a state of positive interaction and coordinated development. Dunhuang tourism development and urban development coordination optimization is closely relate to the development environmental and policy opportunities, and has great role in promoting Dunhuang ecological development and environmental improvement, just like the implement of the western development strategy, the Dunhuang water resources rational utilization and ecological protection planning and so on.
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Kleshcheva, Aleksandra. "Perception of Dark Tourism." Zeitschrift für Tourismuswissenschaft 13, no. 2 (September 1, 2021): 191–208. http://dx.doi.org/10.1515/tw-2021-0014.
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Abstract In recent years, numerous studies have been conducted on the phenomenon of dark tourism. This study seeks to understand what motivates people to visit dark tourism sites such as the Chernobyl exclusion zone by applying an automated text analytics approach. Tripadvisor was chosen as a source for data collection as tourists are increasingly sharing their experiences and leave feedback online. Several natural language processing methods, such as topic modelling (LDA) and sentiment analysis, were applied to extract the primary motivators behind a visit to Chernobyl. Topic modelling results present five main topics discussed by tourists. Based on the results, the main motivational factors are discussed in detail. Furthermore, the total sentiment score shows a positive perception of the dark tourism destination. This study follows an interdisciplinary research approach applying innovative data analytics methods to investigate dark tourism through social media. By implementing NLP methods, this study reveals tourists’ perceptions from online reviews, which are not easy to discover by traditional approaches. Moreover, the results provide guidelines to tourism managers in monitoring new trends in tourism, understanding tourists’ needs and wishes, and evaluating the quality of products or services.
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Feng, Lei, and Yukai Hao. "Optimization Algorithm of Tourism Security Early Warning Information System Based on Long Short-Term Memory (LSTM)." Computational Intelligence and Neuroscience 2021 (September 8, 2021): 1–11. http://dx.doi.org/10.1155/2021/9984003.
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Tourism safety is the focus of the tourism industry. It is not only related to the safety of tourists’ lives and property, but also related to social stability and sustainable development of the tourism industry. However, the security early warning of many scenic spots focuses on the response measures and remedial plans after the occurrence of security incidents, and the staff of many scenic spots have limited security awareness and information analysis ability, which is prone to lag in information release, and do not pay attention to the information of potential security problems. Therefore, this paper studies the optimization algorithm of the tourism security early warning information system based on the LSTM model and uses the recurrent neural network and LSTM to improve the processing and prediction ability of time-series data. The experimental results show that the number of three hidden layers in the tourism security early warning information system based on the LSTM model can reduce the training time of the model and improve the performance. Compared with the tourism safety early warning information system based on the BP neural network, it has better accuracy and stability, has better processing and prediction ability for time series data, and can monitor and analyze data scientifically in real-time and dynamically analyze data.
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Forhad, Md Shafiul Alam, Mohammad Shamsul Arefin, A. S. M. Kayes, Khandakar Ahmed, Mohammad Jabed Morshed Chowdhury, and Indika Kumara. "An Effective Hotel Recommendation System through Processing Heterogeneous Data." Electronics 10, no. 16 (August 10, 2021): 1920. http://dx.doi.org/10.3390/electronics10161920.
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Recommendation systems have recently gained a lot of popularity in various industries such as entertainment and tourism. They can act as filters of information by providing relevant suggestions to the users through processing heterogeneous data from different networks. Many travelers and tourists routinely rely on textual reviews, numerical ratings, and points of interest to select hotels in cities worldwide. To attract more customers, online hotel booking systems typically rank their hotels based on the recommendations from their customers. In this paper, we present a framework that can rank hotels by analyzing hotels’ customer reviews and nearby amenities. In addition, a framework is presented that combines the scores generated from user reviews and surrounding facilities. We perform experiments using datasets from online hotel booking platforms such as TripAdvisor and Booking to evaluate the effectiveness and applicability of the proposed framework. We first store the keywords extracted from reviews and assign weights to each considered unigram and bigram keywords and, then, we give a numerical score to each considered keyword. Finally, our proposed system aggregates the scores generated from the reviews and surrounding environments from different categories of the facilities. Experimental results confirm the effectiveness of the proposed recommendation framework.
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Hulu, Yosafati. "Pembangunan Database Destinasi Pariwisata Indonesia Pengumpulan dan Pengolahan Data Tahap I." ComTech: Computer, Mathematics and Engineering Applications 5, no. 2 (December 1, 2014): 798. http://dx.doi.org/10.21512/comtech.v5i2.2276.
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Considering the increasing need for local (government and community) in developing tourism destinations in the era of autonomy, considering the need to select the appropriate attraction according to the respective criteria, and considering the needs of businessmen travel / hotel to offer the appropriate attraction with the needs of potential tourists, it is necessary to develop a database of tourist destinations in Indonesia that is able to facilitate these needs. The database is built is a web-based database that is widely accessible and capable of storing complete information about Indonesian tourism destination as a whole, systematic and structured. Attractions in the database already classifiable based attributes: location (the name of the island, province, district), type/tourism products, how to achieve these attractions, the cost, and also a variety of informal information such as: the ins and outs of local attractions by local communities or tourists. This study is a continuation of previous studies or research phase two of three phases planned. Phase two will focus on the collection and processing of data as well as testing and refinement of the model design and database structure that has been created in Phase I. The study was conducted in stages: 1) Design Model and Structure Database,2) Making a Web-based program, 3) Installation and Hosting, 4) Data Collection, 5) Data Processing and Data entry, and 6) Evaluation and improvement/Completion.
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Rismiyanto, Edy, and Totok Danangdjojo. "Dampak Wisata Kuliner Oleh-oleh Khas Yogyakarta terhadap Perekonomian Masyarakat." Jurnal Maksipreneur: Manajemen, Koperasi, dan Entrepreneurship 5, no. 1 (December 30, 2015): 46. http://dx.doi.org/10.30588/jmp.v5i1.144.
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<p>Tourism industry that has recently experienced rapid development is culinary field. It is a tourism activity concerning the provision of food and beverage. The present tourists’ trend is to visit a tourism area to find or hunt local foods. Besides, they are not reluctant to pay in high price to enjoy a meal. Culinary tourism of Yogyakarta special souvenirs become DIY tourism power which is able to create great benefit to the society economy. Business of Yogyakarta special souvenirs such as bakpia, geplak, yangko, gudeg, jadah tempe, kipo, etchave potential to develop local society. The objective of this research is to find out the effect of Yogyakarta special souvenirs culinary tourism towards society economy. The data collection technique utilizes convenience sampling method. The research stages consist of: 1) research instrument preparation stage, including literature review, research design arrangement and initial observation; 2) Field data collection stageis performed with observation, survey/questionnaire, interview and other secondary data collections; 3) Data processing and analysis stage consist of :a) data component processing, such as data reduction and presentation and triangulation, b) data verification, such as data validation using triangulation, c) data analysis using quantitative and qualitative descriptive analysis methods 4) report writing stage is the last research stage, in which all research results that have been analyzed are in form of structured writing. The review strategy of problem analysis uses Logical framework analysis and statistical analysis of two mean different hypothesis test. Based on the previous analysis, it has been proven that the promotion of culinary tourism of Yogyakarta special souvenirs has positive effect on society economy in this sector.</p>
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Han, Qiwei, Margarida Abreu Novais, and Leid Zejnilovic. "Toward travel pattern aware tourism region planning: a big data approach." International Journal of Contemporary Hospitality Management 33, no. 6 (March 22, 2021): 2157–75. http://dx.doi.org/10.1108/ijchm-07-2020-0673.
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Purpose The purpose of this paper is to propose and demonstrate how Tourism2vec, an adaptation of a natural language processing technique Word2vec, can serve as a tool to investigate tourism spatio-temporal behavior and quantifying tourism dynamics. Design/methodology/approach Tourism2vec, the proposed destination-tourist embedding model that learns from tourist spatio-temporal behavior is introduced, assessed and applied. Mobile positioning data from international tourists visiting Tuscany are used to construct travel itineraries, which are subsequently analyzed by applying the proposed algorithm. Locations and tourist types are then clustered according to travel patterns. Findings Municipalities that are similar in terms of their scores of their neural embeddings tend to have a greater number of attractions than those geographically close. Moreover, clusters of municipalities obtained from the K-means algorithm do not entirely align with the provincial administrative segmentation.
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Wang, Wen Jie. "Tourism Resource Investigation by Remote Sensing Technology." Advanced Materials Research 926-930 (May 2014): 4069–72. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.4069.
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As the development of the advanced remote sensing devices, various high-quality remote sensing data provide us with reliable evidence for tourism resource investigating. In contrast to the traditional method for tourism resource investigation, the remote sensing data based method is intelligent and with low cost in manpower resource. Moreover, the reliance of the given results is enhanced. This paper proposed a remote sensing image processing method for the tourism resource investigation. First, the remote sensing image is segmented. Then the segmented image region is recognized, the tourism resource and the irrelative objects is classified. Finally, the tourism resource in the remote sensing image is given and processed by the mathematical method.
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Hulu, Yosafati. "Pembangunan Database Destinasi Pariwisata Indonesia dan Implementasinya pada Sistem Berbasis Web." ComTech: Computer, Mathematics and Engineering Applications 4, no. 2 (December 1, 2013): 1206. http://dx.doi.org/10.21512/comtech.v4i2.2600.
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Regarding to: (1) the increasing region’s need in developing tourism destinations; (2) the needs of tourists in selecting appropriate attractions according to specified criteria; (3) the need of travel businesses to offer sights of interest in accordance with the needs of potential tourists, (4) the need to deepen and continue our previous research titled "Development of Tourism Destination Media Potential and Utilizing Local Resources in the Era of Autonomy and Regional Expansion ", we need to develop a complete database of tourism destinations in Indonesia that can facilitate those needs. We build a web-based database that is capable of storing complete information about Indonesian tourism destinations in thorough, systematic, and structured way. It is also able to classify a variety of attractions based on attributes such as: location (the name of the island, province, district), type/ tourism products, how to achieve the object, cost, and a variety of informal information, such as the ins and outs of the attraction area incorporated by the local or tourist experiences. The research will focus on deepening and refinement of the model and database structure design and implementation with the collection, processing, and data entry of primary and secondary data which amounts to approximately 140 tourism destinations in Indonesia. The research is arranged in stages as follows: (1) designing models and the database structure, (2) making a web-based program, (3) installation and hosting ; (4) data collection, (5) data processing and data entry, (6) evaluation and improvement/ refinement. Once developed, the database can be used as a starting point in the development of Data Warehouse, Decision Support System, and Expert System for Indonesian tourism industry.
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Djuwendah, E., T. Karyani, and E. Wulandari. "Potential Development Strategy for Attraction and Community-based Agrotourism in Lebakmuncang Village." E3S Web of Conferences 249 (2021): 01004. http://dx.doi.org/10.1051/e3sconf/202124901004.
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Lebakmuncang is a tourism village in Ciwidey, Bandung, West Java, Indonesia, which has potential for natural and cultural resources supporting agro-tourism development. In recent years there has been a decline in tourist visits. The research objectives were to analyze the agro-tourism potential, to analyze visitor’s perceptions of the attractiveness of agro-tourism and agro-tourism development strategies. The research design used descriptive quantitative. Fifty tourists were selected by accidental sampling, and ten informants were selected purposively. Data analysis technique used Likert scale and SWOT matrix. The results showed Lebakmuncang village has variety agricultural commodities, dairy farming, and coffee processing business that have potential to support agro-tourism development; visitors’ perceptions of attraction and ancillary services was excellent. Visitors’ perception of amenities and accessibility was good. Strategies that can be carried out in developing agro-tourism are: (1) increasing community involvement, (2) adding animal husbandry attractions and coffee processing in tour packages, (3) adding supporting facilities that are not yet available, (4) synchronizing agro-tourism development programs with stakeholders, (5) training human resources in internet technology-based tourism management, (6) partnerships in promotion and marketing with travel agents, (7) improving service quality, (8) creating community-based and sustainable agro-tourism branding, and (9) promotional cooperation with other tourist objects..
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Setiawan, Heri. "KETERKAITAN ANTARA CITRA DESTINASI, PERSEPSI NILAI PENGALAMAN DAN KEPUASAN WISATAWAN KULINER." MIX: JURNAL ILMIAH MANAJEMEN 8, no. 3 (November 19, 2018): 523. http://dx.doi.org/10.22441/mix.2018.v8i3.005.
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Culinary tourism is part of tourism activities that continue to grow in Indonesia, but studies on culinary tourism are still rarely. The purpose of the study is to analyze the relationship among the image of a tourism destination, experiential value perception with tourist satisfaction while in the culinary attractions. The study was conducted in Palembang City which is known as a city with a variety of typical traditional foods. The research data was obtained by distributing questionnaires to 140 local tourists who visited culinary attractions in Palembang City. Data analysis was carried out using path analysis method with data processing software namely AMOS and SPSS. Research findings state that the image of tourism destinations has a relationship with the experiential value perception significantly. Then, the experiential value perception has a relationship with tourist satisfaction significantly and the image of tourism destinations has a relationship with tourist satisfaction significantly. Implications of research results can be useful for referrals for other researchers or parties interested in culinary tourism destinations
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Rahmah, Ulya, and Endah Djuwendah. "Performance Analysis of Sustainable Agrotourism in Lebakmuncang Village." Journal of Business on Hospitality and Tourism 7, no. 1 (June 29, 2021): 20. http://dx.doi.org/10.22334/jbhost.v7i1.256.
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Agro-tourism in Lebakmuncang Village has a selling value in the form of natural potential, agriculture, arts, crafts, and traditional culinary processing typical of the village. This agro-tourism has the potential of a sustainable tourism object. The purpose of this research is to measure the performance of agro-tourism from the perspective of naturalness, uniqueness, workforce involvement, land-use optimization, area arrangement, and education. The research design used is descriptive quantitative with a survey method. Collecting data using observation, questionnaires, interviews, and literature studies. The research data were analyzed using descriptive analysis with a Likert scale. The results showed that agro-tourism performance on naturalness was in the very good category. Meanwhile, the performance of agro-tourism towards uniqueness, the involvement of labor, optimization of land use, zoning, and education are categorized as good.
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Cayèré, Cécile, Christian Sallaberry, Cyril Faucher, Marie-Noëlle Bessagnet, Philippe Roose, Maxime Masson, and Jérémy Richard. "Multi-Level and Multiple Aspect Semantic Trajectory Model: Application to the Tourism Domain." ISPRS International Journal of Geo-Information 10, no. 9 (September 8, 2021): 592. http://dx.doi.org/10.3390/ijgi10090592.
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Here we design a semantic trajectory model responding to specific needs expressed by tourism analyst experts. Thus, this model takes into account: (i) the description of sequences of imbricated semantic segments, (ii) the definition of enrichment data integrating spatial, temporal and thematic dimensions and (iii) the association of such data with positions or with trajectory segments. Each of these features is necessary for the processing and analysis of tourist mobility data, which we will detail. For validation purposes, we experiment our model on two outdoor mobility track scenarios computed in a processing chain. We also show that our model is generic and extensible thanks to two other scenarios on different datasets.
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Bi, Wei, and Guangming Wang. "Local Cultural IP Development and Cultural Creative Design Based on Big Data and Internet of Things." Mobile Information Systems 2021 (April 19, 2021): 1–9. http://dx.doi.org/10.1155/2021/5521144.
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Relying on the development of cultural tourism resources and the development of cultural tourism industry to achieve regional industrial revitalization is an important way of implementing postdisaster reconstruction in areas suffering from major natural disasters. To this end, this article proposes a local cultural IP development and cultural creative design method based on big data and the Internet of Things to explore new ideas for postdisaster reconstruction in such areas. First, we collect traditional and modern cultural element data and carry out data cleaning and processing through the Internet of Things. Second, we use data mining to perform multilayer collaborative processing on regional cultural data based on ontology modeling and tensor decomposition. Based on our approach, local cultural categories can be effectively screened and filtered out. Finally, we establish a cultural IP development model based on the Internet of Things and verify the validity and applicability of the model through system testing and simulation analysis.
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Feng, Wen Long, Yu Cong Duan, Meng Xin Huang, Lin Feng Dong, Xiao Yi Zhou, and Tao Hu. "A Research on Smart Tourism Service Mechanism Based on Context Awareness." Applied Mechanics and Materials 519-520 (February 2014): 752–58. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.752.
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The traditional tourism services tend to use tourism resources as the center. They ignore individual characteristics and contextual information of the user side. The provided service is static, and doesnt meet the real needs of the users. A service mechanism based on context awareness is presented which consists of data, platform and services. It sets up data center based on users and gets context data according to rules .It uses the cloud computing technology to provide distributed processing, storage and retrieval capability for big data. It also establishes tourism service confirming to requirements of the users and dynamic adjusts service mode according to the user context information. Simulation results show that the mechanism can realize the demand for tourism services in conjunction with the individual characteristics of user.
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Bugarin, Dejan, Sanja Krsmanović-Veličković, and Miloš Tucović. "Potentials of cultural-historical and tourism heritage for the development of tourism in the Timok region." Serbian Journal of Management 16, no. 1 (2021): 201–12. http://dx.doi.org/10.5937/sjm16-32147.
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In recent years, the term "industrial tourism" has been increasingly used in the literature. It describes an area that includes industrial monuments and abandoned buildings, and above all rare ones that are still in function. Industrial tourism includes all plants used for food processing, wood processing and textile industry, there are also mills, ports, mines, car and aviation industry, shipyards, etc. Within the doctoral dissertation entitled "Potentials of cultural-historical and economic heritage for the development of industrial tourism in the Timok region", a research was conducted that deals with the growing interest of industrial tourism in Eastern Serbia, more precisely in the Timok region. This branch of tourism is no longer a sphere of interest only for certain groups of technical experts, but also for regular tourists who are interested in touring certain regions. The aim of the research is to present the possibilities for the development of industrial tourism in the Timok region, as well as to obtain data on the current situation. The research is based on the experiential information of tourism workers who, due to the nature of their work and interests, are relevant to the proposed topic. The surveyed respondents are employed in the field of tourism in various positions, as well as students who are educated in the field of tourism. The data obtained during the research indicate respondents believe that the media do not sufficiently inform potential tourists about industrial tourism attractions, the potential of the tourist offer, but also about the Timok region itself, both locally and beyond, in Serbia and abroad. Such data indicate the possibility of improvement through the application of an adequate strategy to promote and inform potential users, as well as the insufficient usage of the industrial potential of the region itself. Investing certain resources in the marketing and development of industrial tourism would create additional demand, and this would result in the improvement of the tourist offer. Valorization of industrial heritage in Eastern Serbia can stimulate regional identity, revitalize the area and create additional tourist attractions. Plans and results from certain projects of this type are very important for the region, but also for the state.
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Kirilenko, Andrei P., Svetlana O. Stepchenkova, Hany Kim, and Xiang (Robert) Li. "Automated Sentiment Analysis in Tourism: Comparison of Approaches." Journal of Travel Research 57, no. 8 (October 15, 2017): 1012–25. http://dx.doi.org/10.1177/0047287517729757.
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Interest in applying Big Data to tourism is increasing, and automated sentiment analysis has been used to extract public opinion from various sources. This article evaluates the suitability of different types of automated classifiers for applications typical in tourism, hospitality, and marketing studies by comparing their performance to that of human raters. While the commonly used performance indices suggest that on easier-to-classify data sets machine learning methods demonstrate performance comparable to that by human raters, other performance measures such as Cohen’s kappa show that the results of machine learning are still inferior to manual processing. On more difficult and noisy data sets, automated analysis has poorer performance than human raters. The article discusses issues pertinent to selection of appropriate sentiment analysis software and offers a word of caution against using automated classifiers uncritically.
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PRATIWI, NILA, DORI MITTRA CANDANA, SRI RAMADHAN, and RIZDA OCTAVIANI. "IMPLEMENTASI ISLAMIC TOURISME DALAM MENINGKATKAN PENGHASILAN IBU-IBU RUMAH TANGGA MISKIN DI KOTA PADANG." JEBI (Jurnal Ekonomi dan Bisnis Islam) 4, no. 2 (December 19, 2019): 211. http://dx.doi.org/10.15548/jebi.v4i2.246.
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This paper discusses the concept of Islamic tourism. This research is focused to find out the implementation and development of Islamic tourism on the Padang coast and then to find out its impact in increasing the income of housewives on Padang Beach. This study uses a qualitative approach in obtaining and processing desired data. Then the data obtained is described to be able to describe the development of Islamic tourism on the coast of Padang. Data collection for research purposes obtained through interviews, observations, and documentation. The results of this study are tourist attractions in Padang beach are still heading to the characteristics of halal tourism, because there are still several places that violate the characteristics of halal tourism. Then business people who are around the coast of Padang strongly support the existence of halal tourism discourse in the city of Padang. The income of housewives who have businesses around the coast of Padang has increased
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Kiswantoro, Amin. "Penerapan Produk Wisata yang Berkelanjutan di DIY dalam Menyongsong Abad Samudra Hindia." Media Wisata 18, no. 1 (May 28, 2021): 41–51. http://dx.doi.org/10.36276/mws.v18i1.75.
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The southern coast of Yogyakarta is one area that has the potential to be developed as sustainable tourism in DIY, such as Parangtritis Beach, Glagah Beach and Baron Beach. This article discusses the system of processing sustainable tourism products that exist in the southern region of DIY in order to become leading tourism in welcoming the Indian Ocean Century. Research has been conducted using descriptive methods with a qualitative approach. Data collection was carried out using observation and interviews with Tiagulation analysis techniques and SWOT analysis. The results show that Parangtritis Beach is superior to Glagah Beach and Baron Beach in terms of developing attractiveness, facilities and accessibility. In addition, the relationship between the partnership pattern between the government and the tourism industry is very well coordinated and community empowerment is also seen as a mobilizer. Tourism product development, partnership patterns and community empowerment at Baron Beach have been carried out effectively and sustainably. Whereas in Glagah Beach, the processing of tourism products has experienced many obstacles, due to the construction of Yogyakarta's new airport which has an impact on the condition of tourism products as well as a shift in land use from the center of agro-tourism activities to the new airport area and lack of attention from the local government
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Emmer, Filip, and Andrea Holešinská. "Big Data: a Source of Mobility Behaviour and a Strategic Tool for Destination Management." Czech Journal of Tourism 8, no. 2 (December 1, 2019): 85–102. http://dx.doi.org/10.2478/cjot-2019-0006.
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Abstract The abundant use of the Internet and mobile technologies while traveling leaves a digital footprint in the form of big data that can be tracked. Big data bring information about spatial visitor behaviour that is valuable for strategic destination management. Big data enrich not only scientific fields (e. g. management, marketing, or geography) with their knowledge, but also represent the invention of new tools for their actual processing. Generally, big data are considered as a strategic tool enhancing the competitiveness of a destination. The paper presents the basic characteristics of big data and reviews research focused on big data in tourism. Moreover, it identifies its potential for tourism from both the theoretical and methodological point of view. The final part deals with current trends in using the big data in tourism and its application in destination management. The future trends of big data in the context of destination management are implied as well.
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Li, Zhao Yang, Hui Fang Bai, and Jin Lian Shi. "Study on Desert Ecological Resources in Green Environment." Applied Mechanics and Materials 484-485 (January 2014): 475–78. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.475.
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Desert ecological tourism resources in green environment are an integration of desert natural geographic and landform landscape with its interdependent desert ecosystem environment, possess two major functions, and also their values are reflected in ecological benefit and recreation value. Therefore, through choosing ecological tourism as an index and combining EM inside direct cost and outside direct cost with grading evaluation, the intension of the recreation value of desert tourism resources in green environment was defined according to the ecological tourism function of desert tourism resources; through investigation and research, classification, data collection and regression processing, the recreation value of China's desert tourism resources was calculated, and the result showed that the recreation value of China's desert tourism resources in green environment reached 4.5 billion RMB in 2010.
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Karman, Joni, and Hardi Mulyono. "Perancangan Sistem Informasi Geografis Lokasi Objek Wisata Di Kota Lubuklinggau Berbasis Android." J-SAKTI (Jurnal Sains Komputer dan Informatika) 3, no. 2 (September 13, 2019): 411. http://dx.doi.org/10.30645/j-sakti.v3i2.160.
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The Problem In Finding and acces a tourism location in Lubuklinggau, be a primary problem, Especially for tourism or visitoe or tourism from other place in Indonesia. We know that the technology more being advance, but this case make we to improve our potency in Lubuklinggau.
Hopely this application which will be made, will appliance the web technology service, in order to the information about tourism will be up to date and to solve this problem the researcher use digital map model approach or SIG based on Android by using Google Maps as the map digital. The method which used in tihs research is UML (Unifide Modelling Language), PHP Program, Java and database Mysql as the data saving geografic information system (GIS) tourism has two programs they are, administration programe for processing tourism data base on web and programe for the user, we use Android aplication. Geografic information system has a goal to give an easy and faster information about tourism in Lubuklinggau
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Febriani, Trina, Dasrizal Dasrizal, and Nana Sutrisna. "Land Characteristics Study as Halal Tourism Destination Supporting Factors at Benang Kelambu Waterfall in Central Lombok Regency of West Nusa Tenggara Province." Sumatra Journal of Disaster, Geography and Geography Education 2, no. 1 (June 5, 2018): 90. http://dx.doi.org/10.24036/sjdgge.v2i1.111.
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Land is one of supporting factors of Halal Tourism Destination at Benang Kelambu Waterfall in Central Lombok Regency. This research was aimed to collect, process, analyse the data and discuss about land characteristics as supporting factors of Benang Kelambu Waterfall Halal. This study used a descriptive analysis method. This study was focus on 1) Describing the land characteristics in supporting the development of Benang Kelambu Waterfall tourism destination. 2) Describing the concept of land use related to supporting factors of Benang Kelambu Waterfall Halal Tourism Destination. The land characteristics include the topography, region, soil type and climate. In this research, factors in developing concept of tourism were tourism potential, tourist attraction, tourism land resources, accessibility, facility and infrastructure, and land use management. After processing and analyzing collected data, Benang Kelambu Waterfall was rated as 83-101 or classified as cultivation and forest area so that it could be managed and used for tourism area.
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Kozmáné Csirmaz, Éva, and Károly Pető. "The analysis of costumer satisfaction in recreational tourism." Applied Studies in Agribusiness and Commerce 8, no. 4 (December 29, 2014): 57–61. http://dx.doi.org/10.19041/apstract/2014/4/9.
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Due to increased health awareness and the growing amount of assistance to boost it, health tourism research has gained significance in our days. The present study focuses on the analysis of customer needs for recreational tourism and their habits; moreover, it interviews the guests of 15 Hungarian wellness hotels through a questionnaire survey. Next we attempt to explore the rate of guest satisfaction with healthpreservation services. The study presents the findings of this research activity until now, whereas the results of further data processing will be published in the future.
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Sutaguna, I. Nyoman Tri, I. Ketut Sirna, and I. Gusti Bagus Rai Utama. "The Processing Technique of Urutan Celeng as A Superior Product for Culinary Tour in Sangeh Abiansemal Tourism Village, Badung, Bali, Indonesia." Technium Social Sciences Journal 11 (August 13, 2020): 292–300. http://dx.doi.org/10.47577/tssj.v11i1.1460.
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one of the goals of tourism development in Indonesia is to develop local food in an area including traditional Balinese food globally. For now, this goal has not been achieved as expected. This happens because the local food in the villages is still abundant and not fully utilized. One example is the food that is usually used as a presentation/offering in Sangeh Tourism Village. This research will discuss the types of “Urutan Celeng” that can be developed into superior culinary tourism products as well as what cooking techniques can be done to improve the quality of “Urutan Celeng” in Sangeh Tourism Village, Abiansemal District, Badung Regency. The research method was carried out with a qualitative approach using several The informants were selected purposely and the data collection techniques were carried out by the method of observation, in-depth interviews and documentation studies with the theory developed in the form of the theory of culinary tourism and its several microforms, and cultural theory. The results showed the types of processed products such as urutan celeng metunu (smoked), urutan celeng medendeng (dried in the sun), the urutan celeng mekukus (steamed), and “Urutan Celeng” (just finished processing). Processing techniques that can be done to develop culinary tourism are related to the preparation of ingredients, processing of ingredients, and serving of food to be able to create new variations and good quality products for tourists to enjoy.
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Susanto, Novie, Denny Nurkertamanda, Heru Prastawa, and Aditya R Nugraha. "Development of Ecotourism-Based Strategy: A Case Study of Tinjomoyo Tourism Forest." E3S Web of Conferences 202 (2020): 03004. http://dx.doi.org/10.1051/e3sconf/202020203004.
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Tinjomoyo Tourism Forest Area is an object or tourist destination with the concept of ecotourism-based nature conservation in the city of Semarang, Central Java Province. The number of visitors, based on the tourist destination in the last three years (2015-2017) shows that the number of tourists visiting the Tinjomoyo Tourism Forest Area are 5,949 tourists in 2015, to 13,755 tourists in 2017. The area is inversely proportional to tourism in Semarang, including the park, Wildlife, Lele Park and Kreo Goa. To improve the visitor attention, it needs a development of potential strategy Ecotourism-based tourism objects using strengths, weaknesses, opportunities, threats (SWOT) analysis and Quantitative Strategic Planning Matrix (QSPM) analysis. This study recommends development strategies that are analysed through data processing from internal and external factors and alternative strategies that become priority strategies that can be implemented. The results of the study found 23 indicators of strength indicators and 12 weakness indicators. While for external factors there are 12 indicators that appear with details of 6 opportunity indicators and 6 threat indicators. From the indicators found, a data processing is performed using the QSPM method that produces priority strategies.
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Turkulin, Branka. "THESAURUS OF TOURISM." Tourism and hospitality management 5, no. 1-2 (December 1999): 127–44. http://dx.doi.org/10.20867/thm.5.1-2.10.
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Neue Erkenntnisse die zur Tourismusentwicklung benötigt werden entstehen auf Grund des Einblicks in derzeitig vorhandenes Wissen, Dokumente und Daten. Dieselben werden von Universitätsbibliotheken, wissenschaftlichen Institutionen, Dokumentationszentren und Datenbanken gesichert. Dabei ist es ratsam "die gleiche Sprache" zu verwenden, sowohl bei der bibliothekarischen Bearbeitung als auch im Suchvorgang. Thesaurus - als kontrolliertes und dynamisches Wörterbuch einer "solchen Sprache" muss die Vielschichtigkeit des Tourismus wiederspiegeln, da es sich zum gemeinsamen Nenner einer Gruppe verschiedener Wissenschaften, Ordnungen und Tätigkeiten entwickelt, ausgehend von den Methoden und der Terminologie dieser Gruppen, aber sich zugleich in der Entwicklungsphase einer eigenen wissenschaftlichen Paradigma befindet. Einen interdisziplinären und mehrsprachigen Tourismusthesaurus gibt es noch nicht, doch das Institut für Tourismus veranlasst den Beginn seiner Aufbauung. New knowledge necessary for tourism development is based on existing knowledge, documents and data provided by university and research libraries, documentation centers, databases, using the "same language" both while bibliographic processing and search/retrieval. Thesaurus, being a controlled and dynamic vocabulary of such a language, should reflect all the complexity of tourism which has been developing as a common denominator for a set of various sciences, disciplines and activities, starting with their methodology and terminology, but at the same time progressing developing its own scientific paradigm. An interdisciplinary and multilingual thesaurus of tourism still does not exist and the Institute for Tourism starts with a project for its development. Described are basic characteristics of a thesaurus, methods of work (both analytical and syntetic or systematic), external and internal features needed for establishment of its structure. In more detail is described the work done so far, which comprises term collection - key words (both in Croatian and English) which should represent the basic corpus of candidates for descriptors, and which must be "literary warrant", i.e. taken from a source with verified scientific authority.
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Cahyanti, Mega Mirasa, and Widiya Dewi Anjaningrum. "MENINGKATKAN NIAT BERKUNJUNG PADA GENERASI MUDA MELALUI CITRA DESTINASI DAN DAYA TARIK KAMPUNG WISATA." Jurnal Ilmiah Bisnis dan Ekonomi Asia 11, no. 2 (September 18, 2018): 35–41. http://dx.doi.org/10.32812/jibeka.v11i2.58.
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This study aims to determine the effects of destination image and tourism attractiveness variables on intention of young generation to visit a rural tourism destination such as “Kampung Wisata Tridi”. This research is a kind of causal research, where the primary quantitative data through questionnaire was taken directly from a tourists in tourism destination and also them who included as young generation. To fulfill the criteria of sample that needed on this research, the sampling technique was used is purposive sampling, by the consideration that sampling choosen is vary between 17-33 years old, and willing to fill the questionnaire. Based on the target that researcher have, a predetermine number of samples that taken was 50 respondents. Based on the result taken by data processing using SPSS 23, shows that the variable which effect significantly the intention to visit a tourism destination are destination image and tourism attractiveness. In other hand, variable which effect most significantly was tourism attractiveness compare with destination image.
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Oscar CLAVERIA, Oscar CLAVERIA, Enric MONTE, and Salvador TORRA. "DATA PRE-PROCESSING FOR NEURAL NETWORK-BASED FORECASTING: DOES IT REALLY MATTER?" Technological and Economic Development of Economy 23, no. 5 (November 4, 2015): 709–25. http://dx.doi.org/10.3846/20294913.2015.1070772.
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This study aims to analyze the effects of data pre-processing on the forecasting performance of neural network models. We use three different Artificial Neural Networks techniques to predict tourist demand: multi-layer perceptron, radial basis function and the Elman neural networks. The structure of the networks is based on a multiple-input multiple-output (MIMO) approach. We use official statistical data of inbound international tourism demand to Catalonia (Spain) and compare the forecasting accuracy of four processing methods for the input vector of the networks: levels, growth rates, seasonally adjusted levels and seasonally adjusted growth rates. When comparing the forecasting accuracy of the different inputs for each visitor market and for different forecasting horizons, we obtain significantly better forecasts with levels than with growth rates. We also find that seasonally adjusted series significantly improve the forecasting performance of the networks, which hints at the significance of deseasonalizing the time series when using neural networks with forecasting purposes. These results reveal that, when using seasonal data, neural networks performance can be significantly improved by working directly with seasonally adjusted levels.
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ULFY, Mohammad Arije, Md Suliman HOSSIN, Md Wasiul KARIM, and Fatin Husna Binti SUIB. "CUSTOMER PERCEPTION ON SERVICE QUALITY TOWARDS TOURISM CUSTOMER SATISFACTION IN MALAYSIAN MARINE TOURISM SECTOR." GeoJournal of Tourism and Geosites 37, no. 3 (September 30, 2021): 792–99. http://dx.doi.org/10.30892/gtg.37308-710.
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Marine based tourism has emerged as a subject of concern in the area of ocean and coastal management. Today, demand for marine tourism has increased dramatically and is highlighted as one of the new horizons and fastest-growing sectors in the world’s tourism industry. Malaysia is indeed one of the countries with the most beautiful and diversified marine life. The fundamental purpose of this study is to examine the satisfaction of tourists towards the service quality of marine tourism in Malaysia. The development of the research framework is based on the SERVQUAL model. A total of 300 responses were received from the Klang Valley area of Malaysia. For the purpose of processing and analyzing the data, Partial Least Square (PLS-SEM) method was employed. By applying a two-step approach, the study assesses the measurement model and the structural model. Findings from the survey reveal that assurance, tangibility, empathy, reliability, and responsiveness have a significant positive relationship with customer satisfaction thus these factors describe the customer satisfaction adequately. This study would enable policymakers and tourism companies to develop policies to improve customer satisfaction by increasing the quality of service.
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Gajić, Tamara, Marko D. Petrović, Milan M. Radovanović, Tatiana N. Tretiakova, and Julia A. Syromiatnikova. "Possibilities of Turning Passive Rural Areas into Tourist Attractions Through Attained Service Quality." European Countryside 12, no. 2 (June 1, 2020): 179–92. http://dx.doi.org/10.2478/euco-2020-0010.
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AbstractThis paper gives an overview of the quality of tourism service in rural areas of the South Bačka District, one of the most economically developed parts of Serbia. The main objective of the research is to determine the correlation between the expected and perceived values of the quality of service by collecting and processing data. The modified SERVQUAL questionnaire was applied in the study, and all obtained data were analyzed in the SPSS software 23.00. As a result of the survey, it was found that tourists had significantly higher expectations than perceived service. The results obtained can serve for broader thematic research and contribute to the definition of appropriate corrective actions to improve the quality of tourism services in the selected rural area. Moreover, these are the key propositions to start an initiative for the improvement of tourism services in any undeveloped rural setting with a tourism offer. The results provide tourism organizers and local authorities with important visitors’ perpceptions pertaining to the quality of rural tourism service.
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C. B. Raya, Victor, Rolland E. Fanggidae, and Apriana J. Fanggidae. "Modern dance commodification strategy in tourism promotion (Study on the modern dance community in Kupang city)." Journal of Sustainable Tourism and Entrepreneurship 1, no. 4 (June 25, 2020): 333–47. http://dx.doi.org/10.35912/joste.v1i4.507.
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Purpose: This study aimed to describe the modern dance commodification strategy in promoting cultural tourism in East Nusa Tenggara Province. Research methodology: The research method used in this research is a qualitative method. Respondents used in this study were 15 people. Data processing was performed using a SWOT analysis. Results: According to the analysis results, the most appropriate strategy for the modern dance community in developing cultural tourism in East Nusa Tenggara is to work together with various parties, create online competitions, innovate with culture, and organize independent events by the dancer community. Limitations: This study only discusses the strategy of the commodification of modern dance in tourism promotion in East Nusa Tenggara. Contribution: This research can become scientific information for students specifically studying tourism. Keywords: Modern dance commodification, Tourism promotion
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Zhang, Kaile, and Ichiro Koshijima. "Trend analysis of online travel review text mining over time." Journal of Modelling in Management 15, no. 2 (November 18, 2019): 491–508. http://dx.doi.org/10.1108/jm2-10-2018-0178.
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Purpose The reviews of online tourism have not been taken advantage of effectively because the text data of such reviews is enormous and its current, in-depth research is still in infancy. Therefore, it is expected that the text data could be processed by the method of text mining to better understand the implicit information. The purpose of this paper is to contribute to tourism practitioners and tourists to conveniently use the texts through appropriate visualization processing techniques. In particular, time-changing reviews can be used to reflect the changes in tourists’ feedback and concerns. Design/methodology/approach Latent semantic analysis is a new branch of semantics. Every term in the document can be regarded as a single point in multi-dimensional space. When a document with semantics comes into such space, the distribution of the document is not random, but will obey some type of semantic structure. Findings First, overall grasping for the big data is applicable. Second, propose a direct method is proposed that allows more non-language processing researchers or proprietors to use the data. Lastly, the results of changes in different spans of times are investigated. Originality/value This paper proposes an approach to disclose a significant number of travel comments from different years that may generate new ideas for tourism. The authors put forward a processing approach to deal with large amounts of texts of comments. Using the case study of Mt. Lushan, the various changes of travel reviews over the years are successfully visualized and displayed.
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Ali, Alisha, and Andrew J. Frew. "ICT and sustainable tourism development: an innovative perspective." Journal of Hospitality and Tourism Technology 5, no. 1 (March 11, 2014): 2–16. http://dx.doi.org/10.1108/jhtt-12-2012-0034.
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Purpose – The aim of this research is to foreground information and communication technology (ICT) as an innovative approach for sustainable tourism (ST) development of destinations. ICT is the technology required for information processing which facilitates data processing, information sharing, communication, searching and selection. This paper concentrates on the Abernathy and Clark model and its usefulness in applying ICT as innovative in managing ST. Design/methodology/approach – An online survey was administered to destination managers and to eTourism experts. Destination managers were selected as they were identified as the person responsible for the overall management of a Destination Management Organisation. eTourism experts were identified as someone who possesses special expertise, knowledge and skills on ICT applications to tourism and offered expertise on which ranged from such areas as electronic distribution, recommender systems, user-generated content, online communities, mobile technology, technology acceptance, tourism networks and Web 2.0. This was followed by semi-structured interviews. Findings – These ICT tools were found to be innovative for information management and distribution for critical decision-making. Innovation was fostered through the use of ICT for ST by leading to a better understanding of the tourism product, monitoring, measuring and evaluating, forecasting trends, developing partnerships and engaging and supporting stakeholder relationships. ICT would provide novel ways of approaching marketing, energy monitoring, waste management, and communication for destinations. Originality/value – This research is important in demonstrating the value that technology can have to ST and further develops the work on tourism innovation theory.
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Gavurova, Beata, Viera Ivankova, Martin Rigelsky, and Magdaléna Přívarová. "Relations Between Tourism Spending and Global Competitiveness – an Empirical Study in Developed OECD Countries." Journal of Tourism and Services 11, no. 21 (December 31, 2020): 38–54. http://dx.doi.org/10.29036/jots.v11i21.175.
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Global trends indicate a systematic increase in the importance of tourism. From an economic point of view, spending plays an essential role in the spectrum of tourism services indicators. Simultaneously, the competitiveness of economies is a key economic indicator; thus, research in this area is considered beneficial. This study's objective was to assess the significance of the structure of clients' spending on tourism in the context of the global competitiveness of OECD countries, with the primary focus on the effect of individual types of tourism spending on competitiveness. Several analytical procedures were used in the processing, such as descriptive analysis, relationship analysis, regression analysis, and cluster analysis. Secondary data were included in the analyses, and these data represented six variables determining tourism spending obtained from the World Travel & Tourism Council (WTTC) database: i - Business Tourism Spending (BTS), ii - Domestic Tourism Spending (DTS), iii - Internal T&T Consumption (ITTC), iv - Leisure Tourism Spending (LTS), v - Outbound Travel & Tourism Expenditure (OTTE), vi - Visitor Exports (Foreign spending) (VEFS); and one variable determining competitiveness: the Global Competitiveness Index (GCI), which was obtained from reports published by the World Economic Forum (WEF). These data were collected for all OECD countries from 2010 to 2018. The results of the regression analysis clearly confirmed the effect of tourism spending on competitiveness in OECD countries. The most significant effects were found in BTS and OTTE, and the least significant impact was identified in VEFS. The results provide valuable information for strategic and development plan makers and institutions responsible for improving the business environment in tourism. The study and its results also offer space for developing national and international benchmarking indicators in this area.
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Rustiawan, Asep, and Dyah Suryani. "Intention on food safety among food handlers at the beach culinary tourism area." International Journal of Public Health Science (IJPHS) 10, no. 2 (June 1, 2021): 318. http://dx.doi.org/10.11591/ijphs.v10i2.20859.
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Food safety remains a public health issue in developing countries. The theory of planned behavior (TPB) was applied to predict food handlers' intentions to perform safe food-handling practices in food processing. This was a quantitative research with observational analytic methods, using cross sectional approach. The sample consisted of 80 food handlers of locally-run seafood stalls along the coast of Bantul Regency, Special Region Yogyakarta, Indonesia. Data analysis employed Chi-square test. The results showed a very strong relationship between attitudes, subjective norms, and self-efficacy with the food handler's intention to perform hygienic food safety. This study suggested that food handlers must have a strong intention to perform safe food-handling practicing in processing food to protect consumers from potential foodborne diseases.