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Journal articles on the topic 'Origin and destination survey'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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1

Kuwahara, Masao, and Edward C. Sullivan. "Estimating origin-destination matrices from roadside survey data." Transportation Research Part B: Methodological 21, no. 3 (1987): 233–48. http://dx.doi.org/10.1016/0191-2615(87)90006-3.

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Jou, Yow-Jen, Hsun-Jung Cho, Pei-Wei Lin, and Chih-Yin Wang. "Incomplete Information Analysis for the Origin-Destination Survey Table." Journal of Urban Planning and Development 132, no. 4 (2006): 193–200. http://dx.doi.org/10.1061/(asce)0733-9488(2006)132:4(193).

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Nurbaeti, Nurbaeti, Janianton Damanik, Muhammad Baiquni, and Nopirin Nopirin. "DAYA SAING TEKNOLOGI DESTINASI PARIWISATA DKI JAKARTA BERDASARKAN PERSEPSI WISATAWAN." Kepariwisataan: Jurnal Ilmiah 9, no. 03 (2015): 31–42. http://dx.doi.org/10.47256/kepariwisataan.v9i03.137.

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This study aims to examine and analyze the use of technology in improving the competitiveness of the tourism destination based on tourists’ perception, and also to see the difference level of technology competitiveness. This research has been conducted specifically to analyse the technology competitiveness at the three main tourist destinations mentioned above based on the visitors’s perception, and why the perception could be different. This study is a survey research which explains social phenomena and causal relationship among the variables of socio-economic characteristics (group of origin

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Egu, Oscar, and Patrick Bonnel. "How comparable are origin-destination matrices estimated from automatic fare collection, origin-destination surveys and household travel survey? An empirical investigation in Lyon." Transportation Research Part A: Policy and Practice 138 (August 2020): 267–82. http://dx.doi.org/10.1016/j.tra.2020.05.021.

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5

Chapleau, Robert, Martin Trέpanier, Pierre Lavigueur, and Bruno Allard. "Origin-Destination Survey Data Dissemination in Metropolitan Context: A Multimedia Experience." Transportation Research Record: Journal of the Transportation Research Board 1551, no. 1 (1996): 26–35. http://dx.doi.org/10.1177/0361198196155100104.

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Since the early 1970s, the Montreal Urban Community Transit Commission has held a series of six major origin-destination surveys in the greater Montreal area. These studies, which include approximately 50,000 households per survey, benefit from a totally disaggregate approach. This framework permits the spatialization of each trip end at the x-y coordinate level and associates multiple variables to every recorded trip. The dissemination of such a vast quantity of data requires different levels of resolution with respect to processing methods and software, zonal aggregation, itineraries, and so

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Sánchez-Martínez, Gabriel E. "Inference of Public Transportation Trip Destinations by Using Fare Transaction and Vehicle Location Data." Transportation Research Record: Journal of the Transportation Research Board 2652, no. 1 (2017): 1–7. http://dx.doi.org/10.3141/2652-01.

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Origin–destination matrices provide vital information for service planning, operations planning, and performance measurement of public transportation systems. In recent years, methodological advances have been made in the estimation of origin–destination matrices from disaggregate fare transaction and vehicle location data. Unlike manual origin–destination surveys, these methods provide nearly complete spatial and temporal coverage at minimal marginal cost. Early models inferred destinations on the basis of the proximity of possible destinations to the next origin and disregarded the effect of

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Harrison, Robert. "Using Brokers to Determine North American Free Trade Agreement Truck Origins and Destinations at Texas-Mexico Border." Transportation Research Record: Journal of the Transportation Research Board 1719, no. 1 (2000): 136–39. http://dx.doi.org/10.3141/1719-17.

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U.S.-Mexico trade continues to grow, much of it crossing into Texas, where bridges over the Rio Grande carry the vehicular and rail traffic. Currently, more than 70 percent of North American Free Trade Agreement U.S.-Mexico trade is by truck, and substantial delays and other social costs are a feature of border port-of-entry systems. New bridge locations are being proposed, and each site must be carefully evaluated to ensure that it is economically feasible. As part of this evaluation process, origin and destination surveys are used to determine bridge location and demand. Many of the truck tr

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Gómez-Déniz, Emilio, Jorge V. Pérez-Rodríguez, and José Boza-Chirino. "Modelling tourist expenditure at origin and destination." Tourism Economics 26, no. 3 (2019): 437–60. http://dx.doi.org/10.1177/1354816619840845.

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This article proposes a model of foreign tourist expenditure, based on expenditure in the country of origin (i.e. reservation of accommodation and transport) and on goods and services at the destination. The study focuses on two measures reflecting the two types of expenditure: the tourist budget share and the difference in growth rates between expenditure at origin and at destination. The random nature of each of these variables is taken into account. The tourist budget share is determined using a fractional response model, based on the beta distribution. This approach allows us to accommodat

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Blum, Jeremy J., Anoop Sridhar, and Tom V. Mathew. "Origin–Destination Matrix Generation from Boarding–Alighting and Household Survey Data." Transportation Research Record: Journal of the Transportation Research Board 2183, no. 1 (2010): 1–8. http://dx.doi.org/10.3141/2183-01.

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Bhat, Suhail Ahmad, and Mushtaq Ahmad Darzi. "Antecedents of tourist loyalty to tourist destinations: a mediated-moderation study." International Journal of Tourism Cities 4, no. 2 (2018): 261–78. http://dx.doi.org/10.1108/ijtc-12-2017-0079.

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PurposeThe purpose of this paper is to analyze the impact of destination image on satisfaction level and tourist loyalty toward the various tourist destinations in Jammu and Kashmir. The study, also, attempted to investigate the mediating role of satisfaction and moderating role of gender, past experience and tourist origin in the proposed model.Design/methodology/approachThe study was carried out in the state of Jammu and Kashmir spread over three divisions, i.e., Jammu, Kashmir and Ladakh. The study employs questionnaire survey method for data collection. Purposive sampling was adopted for d

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Quiroga, Cesar, Russell Henk, and Marc Jacobson. "Innovative Data Collection Techniques for Roadside Origin-Destination Surveys." Transportation Research Record: Journal of the Transportation Research Board 1719, no. 1 (2000): 140–46. http://dx.doi.org/10.3141/1719-18.

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Described are the results of a pilot application intended to automate the data collection and data reduction phases of roadside origin-destination (O-D) studies. Most techniques used to obtain O-D data are quite labor intensive, during both the data collection and the data reduction phase. Frequently, they result in extensive data quality checks and long turnaround periods between the data collection work and the submittal of the corresponding survey report. The application described automates the data collection and data reduction phases by using portable, handheld data collection devices. Th

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Güler, Hakan. "AN EMPIRICAL MODELLING FRAMEWORK FOR FORECASTING FREIGHT TRANSPORTATION." TRANSPORT 29, no. 2 (2014): 185–94. http://dx.doi.org/10.3846/16484142.2014.930927.

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This paper presents a framework which includes empirical modelling methods to estimate freight transportation between defined zones. In this method, observed origin and destination matrices for each type of freight are constituted based on the link counts and the roadside truck survey data. The gravity method is selected to estimate origin and destination matrices by using observed link flows, gross domestic product by provinces and interzonal distances. Advanced statistical techniques and regression analyses are used to estimate the coefficients of the gravity method. The final freight transp

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Ashtakala, Bala, and A. S. Narasimha Murthy. "Intraprovincial trip distribution model." Canadian Journal of Civil Engineering 13, no. 4 (1986): 438–44. http://dx.doi.org/10.1139/l86-068.

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A town (or city) in a province generates external trips to other towns and cities for various purposes. A cordon origin–destination (O – D) survey shows the origin and destinations of the external trips of a town. An individual external trip distribution model is developed for a town using the cordon O – D survey data. The external trips are recognized as intra provincial trips and therefore the model is called intraprovincial trip distribution model. The data used in this study is taken from cordon O – D surveys done in Alberta.In the formulation of the model, a functional form that uses a li

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Findlay, A. M., F. L. N. Li, A. J. Jowett, M. Brown, and R. Skeldon. "Doctors Diagnose Their Destination: An Analysis of the Length of Employment Abroad for Hong Kong Doctors." Environment and Planning A: Economy and Space 26, no. 10 (1994): 1605–24. http://dx.doi.org/10.1068/a261605.

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Much contemporary skilled international migration involves the transient movement of skills between a migrant's country of origin and the destination. This paper shows that international circulation amongst Hong Kong doctors is neither new nor random. A survey of Hong Kong doctors with overseas work experience was undertaken by the authors to examine the factors influencing the length of employment overseas and the propensity to return. Statistical analysis of the results indicates that holding a foreign passport, previous overseas training, and the country of destination were key factors in d

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Park, Man-Bae, and Robert L. Smith. "Development of a Statewide Truck-Travel Demand Model with Limited Origin-Destination Survey Data." Transportation Research Record: Journal of the Transportation Research Board 1602, no. 1 (1997): 14–21. http://dx.doi.org/10.3141/1602-03.

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A simple statewide truck-travel demand model for Wisconsin was developed using only readily available data, including a small amount of data from origin-destination travel surveys (O-D) and fairly extensive truck-classification count data. A simple trip-rate trip-generation model based on zonal population was used to estimate the initial internal trip productions and attractions. Despite the small amount of O-D survey data that were available, gravity-model friction-factor curves were developed for three trip types. The calibrated gravity models produced trip tables that were good matches for

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Malema, H. K., and W. Musakwa. "TWEETS AND FACEBOOK POSTS, THE NOVELTY TECHNIQUES IN THE CREATION OF ORIGIN-DESTINATION MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 555–62. http://dx.doi.org/10.5194/isprsarchives-xli-b2-555-2016.

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Social media and big data have emerged to be a useful source of information that can be used for planning purposes, particularly transportation planning and trip-distribution studies. Cities in developing countries such as South Africa often struggle with out-dated, unreliable and cumbersome techniques such as traffic counts and household surveys to conduct origin and destination studies. The emergence of ubiquitous crowd sourced data, big data, social media and geolocation based services has shown huge potential in providing useful information for origin and destination studies. Perhaps such

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Malema, H. K., and W. Musakwa. "TWEETS AND FACEBOOK POSTS, THE NOVELTY TECHNIQUES IN THE CREATION OF ORIGIN-DESTINATION MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 555–62. http://dx.doi.org/10.5194/isprs-archives-xli-b2-555-2016.

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Social media and big data have emerged to be a useful source of information that can be used for planning purposes, particularly transportation planning and trip-distribution studies. Cities in developing countries such as South Africa often struggle with out-dated, unreliable and cumbersome techniques such as traffic counts and household surveys to conduct origin and destination studies. The emergence of ubiquitous crowd sourced data, big data, social media and geolocation based services has shown huge potential in providing useful information for origin and destination studies. Perhaps such

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Qureshi, Mohammad A., Ho-Ling Hwang, and Shih-Miao Chin. "Comparison of Distance Estimates for Commodity Flow Survey: Great Circle Distances Versus Network-Based Distances." Transportation Research Record: Journal of the Transportation Research Board 1804, no. 1 (2002): 212–16. http://dx.doi.org/10.3141/1804-28.

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A study was conducted to compare distance estimates derived from great circle distances (GCD) with distance estimates derived from a network-based model. The study used a sample of shipments from the 1993 commodity flow survey (CFS). For each shipment in the sample, the distance from the zip code of origin to the zip code of destination was calculated by using the Oak Ridge National Laboratories National Highway Network and assuming that the minimum impedance path was utilized. For each of these origin–destination pairs, the GCD and several variations of the GCD also were estimated. Finally, t

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Abdel-Aty, Mohamed A., and Hassan T. Abdelwahab. "Toll Road Origin-Destination Travel Survey: Internet and Mail-Back Response Analysis and Implications for Future Surveys." Transportation Research Record: Journal of the Transportation Research Board 1768, no. 1 (2001): 61–70. http://dx.doi.org/10.3141/1768-08.

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Moyo, T., and W. Musakwa. "USING CROWDSOURCED DATA (TWITTER & FACEBOOK) TO DELINEATE THE ORIGIN AND DESTINATION OF COMMUTERS OF THE GAUTRAIN PUBLIC TRANSIT SYSTEM IN SOUTH AFRICA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 143–50. http://dx.doi.org/10.5194/isprs-annals-iii-2-143-2016.

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The study of commuters’ origins and destinations (O_D) promises to assist transportation planners with prediction models to inform decision making. Conventionally O_D surveys are undertaken through travel surveys and traffic counts, however data collection for these surveys has historically proven to be time consuming and having a strain on human resources, thus a need for an alternative data source arises. This study combines the use social media data and geographic information systems in the creation of a model for origin and destination surveys. The model tests the potential of using big da

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Silver, Dan, Julia Seltzer, Stan Hsieh, Dara Seidl, Farhad Siraj, and Mindy Rhindress. "Exclusion of Nonspecific Geocodes and the Representation of Ridership Profiles in Survey Data." Transportation Research Record: Journal of the Transportation Research Board 2643, no. 1 (2017): 28–33. http://dx.doi.org/10.3141/2643-04.

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To construct responsive travel models, transportation modelers must have accurate geocoding data; only the addresses with specific geocodes (i.e., addresses with high specificity) are retained in the data, and addresses with nonspecific geocodes (i.e., addresses with low specificity, such as at the municipality level) are excluded, replaced, or imputed. Whether this practice introduces bias in the data and leads to potential inaccuracies in models that are subsequently constructed has not been evaluated. Between December 2014 and November 2015, the Metro-North Railroad (MNR) Origin and Destina

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Sana, Bhargava, Joe Castiglione, Drew Cooper, and Dan Tischler. "Using Google’s Passive Data and Machine Learning for Origin-Destination Demand Estimation." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 46 (2018): 73–82. http://dx.doi.org/10.1177/0361198118798298.

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Origin-destination (OD) data collection methods are steadily attempting to move from conventional survey techniques (roadside interview, license plate, etc.) toward using passively collected big data sources such as those based on global positioning system (GPS) and cell phone call detail records (CDR). In this study, a new passive data source, Google’s Aggregated and Anonymized Trips (AAT), was used to derive hourly OD demand matrices for the San Francisco Bay Area. Since the AAT dataset contains relative flows or weights as opposed to absolute trips, machine learning techniques were applied

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Chimba, Deo, Daniel Emaasit, and Boniphace Kutela. "Integrating Origin-Destination Survey and Stochastic User Equilibrium: A Case Study for Route Relocation." Journal of Transportation Technologies 02, no. 04 (2012): 297–304. http://dx.doi.org/10.4236/jtts.2012.24032.

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Watling, David P. "Maximum likelihood estimation of an origin-destination matrix from a partial registration plate survey." Transportation Research Part B: Methodological 28, no. 4 (1994): 289–314. http://dx.doi.org/10.1016/0191-2615(94)90003-5.

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Pérez-Messina, Ignacio, Eduardo Graells-Garrido, María Jesús Lobo, and Christophe Hurter. "Modalflow: Cross-Origin Flow Data Visualization for Urban Mobility." Algorithms 13, no. 11 (2020): 298. http://dx.doi.org/10.3390/a13110298.

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Pervasive data have become a key source of information for mobility and transportation analyses. However, as a secondary source, it has a different methodological origin than travel survey data, usually relying on unsupervised algorithms, and so it requires to be assessed as a dataset. This assessment is challenging, because, in general, there is not a benchmark dataset or a ground truth scenario available, as travel surveys only represent a partial view of the phenomenon and suffer from their own biases. For this critical task, which involves urban planners and data scientists, we study the d

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Levels, Mark, Jaap Dronkers, and Gerbert Kraaykamp. "Immigrant Children's Educational Achievement in Western Countries: Origin, Destination, and Community Effects on Mathematical Performance." American Sociological Review 73, no. 5 (2008): 835–53. http://dx.doi.org/10.1177/000312240807300507.

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This article explores the extent to which macro-level characteristics of destination countries, origin countries, and immigrant communities help explain differences in immigrant children's educational achievement. Using data from the 2003 PISA survey, we analyze the mathematical performance of 7,403 pupils from 35 different origin countries in 13 Western countries of destination. While compositional differences offer some explanatory power, they cannot fully explain cross-national and cross-group variance. Contextual attributes of host countries, origin countries, and communities are also mean

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Trépanier, Martin, and Robert Chapleau. "Analyse orientée-objet et totalement désagrégée des données d'enquêtes ménages origine-destination." Canadian Journal of Civil Engineering 28, no. 1 (2001): 48–58. http://dx.doi.org/10.1139/l00-106.

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Large urban household surveys produce a huge quantity of data, generally processed with database management systems (DBMS). In most cases, data are compiled, aggregated, and then integrated in traditional transportation models. Based on another perspective, the totally disagregate approach (TDA) uses a unified survey data file in which every piece of information is preserved. The data file is used for individual analysis of households, people, and trips. The addition of an object-oriented modeling to the totally disaggregate approach permits the instantiation of survey data into objects. These

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Chiswick, Barry R., Yew Liang Lee, and Paul W. Miller. "A Longitudinal Analysts of Immigrant Occupational Mobility: A Test of the Immigrant Assimilation Hypothesis." International Migration Review 39, no. 2 (2005): 332–53. http://dx.doi.org/10.1111/j.1747-7379.2005.tb00269.x.

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This article develops a model of the occupational mobility of immigrants and tests the hypotheses using data on males from the Longitudinal Survey of Immigrants to Australia, Panel I. The theoretical model generates hypotheses regarding a U-shaped pattern of occupational mobility from the “last job” in the origin, to the “first job” in the destination, to subsequent jobs in the destination, and regarding the depth of the “U.” The survey includes data on pre-immigration occupation, the “first” occupation in Australia (at six months) and the occupation after about three-and-a-half years in Austr

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Wonjae Jang. "Estimating Origin-Destination Trip Matrices from Roadside Survey Data with Consideration of Passing Traffic Data." Journal of Transport Research 16, no. 1 (2009): 1–14. http://dx.doi.org/10.34143/jtr.2009.16.1.1.

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Soltész, Tamás, Attila Aba, Miklós Bánfi, and Miklós Kózel. "PFS method for pedestrian origin-destination surveys of enclosed areas." Transportation Research Procedia 27 (2017): 680–87. http://dx.doi.org/10.1016/j.trpro.2017.12.082.

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Watson, Kathleen B., Geoffrey P. Whitfield, Stacey Bricka, and Susan A. Carlson. "Purpose-Based Walking Trips by Duration, Distance, and Select Characteristics, 2017 National Household Travel Survey." Journal of Physical Activity and Health 18, S1 (2021): S86—S93. http://dx.doi.org/10.1123/jpah.2021-0096.

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Background: New or enhanced activity-friendly routes to everyday destinations is an evidence-based approach for increasing physical activity. Although national estimates for some infrastructure features surrounding where one lives and the types of nearby destinations are available, less is known about the places where individuals walk. Methods: A total of 5 types of walking trips (N = 54,034) were defined by whether they began or ended at home (home based [HB]) and trip purpose (HB work, HB shopping, HB social/recreation, HB other, and not HB trip) (2017 National Household Travel Survey). Diff

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Siahaan, L. Denny. "Kajian Estimasi Variabel Pemudik Lebaran di Pulau Jawa Tahun 2010 dan 2011 Dengan Survei Rumah Tangga." Warta Penelitian Perhubungan 23, no. 3 (2019): 292. http://dx.doi.org/10.25104/warlit.v23i3.1070.

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Homecoming, called "mudik" in bahasa, at Lebaran is a culture in Indonesia to visit the family at the hometmvn. Hence, it needs bigger transportation capacity than usual. Infrastructure planning for all transportation mode needs the prediction of travelers number, origin and destination of travelers, the utilization preference of all transportation mode, the distribution of travelers per day as the basic availability of transport infrastructure and the prediction of economic effects by the travelers to the local destination. Whereas, there was household survey at 6 big cities in Java Island i.

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Al-Battaineh, Omar, and Isam A. Kaysi. "Genetically-optimized origin-destination estimation (GOODE) model: application to regional commodity movements in Ontario." Canadian Journal of Civil Engineering 34, no. 2 (2007): 228–38. http://dx.doi.org/10.1139/l06-127.

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The problem of origin-destination (O-D) matrix estimation has attracted significant research attention in the past few decades. This paper proposes a novel approach to estimate a regional freight O-D matrix using different data sources. The genetically optimized origin-destination estimation (GOODE) model takes advantage of the genetic algorithm's (GA) global search procedure to find the O-D matrix that is associated with the minimum deviation between estimated and observed data values. The GOODE-commodity model, an extension of the GOODE model, estimates the freight O-D matrix by interfacing

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Bundas, Andrei. "DIASPORA NETWORKS AND THE CONSUMPTION OF NOSTALGIC PRODUCTS AMONG ROMANIAN MIGRANTS IN GERMANY." Oradea Journal of Business and Economics 3, no. 2 (2018): 86–99. http://dx.doi.org/10.47535/1991ojbe054.

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Statistics show that cross-national immigration represents one of the fastest growing global trends. Researchers have revealed that immigration is a transnational process with immigrants maintaining ties across the sending and receiving locations, and acting as a bridge between their countries of destination and origin. Research has also revealed the economic link created by the diaspora between the countries of origin and destination with two main components: the remittances sent to families and the consumption of home origin goods, also defined by scholars as ethnic products, nostalgic produ

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Altintas, Volkan, Ercan Sirakaya-Turk, and Serkan Bertan. "Destination images of visitors attending to travel expo in key markets of Turkey." Tourism and hospitality management 16, no. 2 (2010): 229–41. http://dx.doi.org/10.20867/thm.16.2.8.

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The objective of the current study was to assess how the origin, education levels, gender, ages and income of expo visitors affected their perceptions of Turkey and what could be done to improve visitors’ perception of Turkey. Data were collected in three expos held in three countries via self-reported survey instruments. Survey instrument included scale items which probed people’s perceptions and images of Turkey along with other relevant variables. There were 264 Germans participants, 332 Dubains, and 94 Russians. Profiles of markets were analyzed using t-tests. The result of this study show

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Jones, Lee K., Nathan H. Gartner, Michael Shubov, Chronis Stamatiadis, and David Einstein. "Modeling Origin-Destination Uncertainty Using Network Sensor and Survey Data and New Approaches to Robust Control." Transportation Research Procedia 23 (2017): 887–900. http://dx.doi.org/10.1016/j.trpro.2017.05.049.

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Ji, Yuxiong, Rabi G. Mishalani, and Mark R. McCord. "Transit passenger origin–destination flow estimation: Efficiently combining onboard survey and large automatic passenger count datasets." Transportation Research Part C: Emerging Technologies 58 (September 2015): 178–92. http://dx.doi.org/10.1016/j.trc.2015.04.021.

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Jones, Lee K., Nathan H. Gartner, Mikhail Shubov, Chronis Stamatiadis, and David Einstein. "Modeling origin-destination uncertainty using network sensor and survey data and new approaches to robust control." Transportation Research Part C: Emerging Technologies 94 (September 2018): 121–32. http://dx.doi.org/10.1016/j.trc.2017.09.007.

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Li, Haojie, Dongyu Wu, Daniel J. Graham, and N. N. Sze. "Comparison of exposure in pedestrian crash analyses: A study based on zonal origin-destination survey data." Safety Science 131 (November 2020): 104926. http://dx.doi.org/10.1016/j.ssci.2020.104926.

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Watling, David P., and Michael J. Maher. "A statistical procedure for estimating a mean origin-destination matrix from a partial registration plate survey." Transportation Research Part B: Methodological 26, no. 3 (1992): 171–93. http://dx.doi.org/10.1016/0191-2615(92)90023-p.

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Montazer, Shirin, and Blair Wheaton. "Economic Conditions in Countries of Origin and Trajectories in Distress after Migration to Canada." Society and Mental Health 7, no. 1 (2016): 1–20. http://dx.doi.org/10.1177/2156869316671372.

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This paper re-examines the study of immigrant mental health by arguing that the level of economic development of origin country alters both initial mental health status and subsequent trajectories of distress over time. Using five waves of longitudinal survey data from the National Population Health Survey of adults living in three metropolitan cities in Canada ( N = 2,887), results show an increase in distress with time, but mainly among immigrants from lower gross national product (GNP) origin countries and only for the first 5 years postarrival, followed by a decline among all immigrants, i

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Matiza, Tafadzwa, and Elmarie Slabbert. "Understanding the Country Image-Travel Motivation Nexus in Emerging Tourism Typologies for South Africa." Polish Journal of Sport and Tourism 27, no. 3 (2020): 28–33. http://dx.doi.org/10.2478/pjst-2020-0017.

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Abstract Introduction. This paper explores the influence of country image on the evaluation of a destination’s attributes from the perspective of inbound tourists to South Africa - within the context of both business and medical tourism. Material and methods. Data were generated from a self-administered questionnaire distributed as part of a survey of inbound tourists visiting South Africa’s Table Mountain. Factor analysis and multiple regression were employed to determine the factors and establish their relationship, respectively. Results. The results suggest that South Africa’s image as a co

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Malamassam, Meirina Ayumi. "Youth Migration in Indonesia: Decision to Move and to Choose of Destination Areas." Indonesian Journal of Geography 48, no. 1 (2016): 62. http://dx.doi.org/10.22146/ijg.12469.

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Using intercensal population survey data, this paper examines migration behavior of youth in Indonesia aged 15 to 24 years old. Logistic regressions are employed to understand factors influencing youth’s decision to migrate as well as their choice of destination areas. The study findings suggest that migration preferences are determined by both the individual characteristics as well as the development level in both areas of origin and destination. It is also shown that education plays an important role in youth migration in Indonesia, not only in improving individual’s capacity to migrate, but

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Sondakh, Eduard, Saptono Kusdanu Waskito, and Sari Armiati. "SEBARAN PASIEN SAAT PANDEMI COVID-19 DI JAWA BARAT MENGGUNAKAN METODE ORIGIN DESTINATION." Jurnal Logistik Bisnis 11, no. 1 (2021): 1–6. http://dx.doi.org/10.46369/logistik.v11i1.1373.

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Wabah COVID-19, diumumkan secara resmi ada di Indonesia di awal bulan Maret 2020. Sejak saat itu pemerintah pusat melalui Badan Nasional Penanggulangan Bencana (BNPB) sebagai Gugus Tugas Percepatan Penanganan COVID-19 memberikan informasi terkini secara periodik. BNPB juga bekerja sama dengan pemerintah daerah dan pemerintah kota baik dalam penyaluran informasi maupun dalam penyaluran bantuan alat pelindung diri (APD). Pemerintah Provinsi Jawa Barat Bandung pun telah memiliki pusat informasi dan koordinasi COVID-19 melalui pikobar.jabarprov.go.id. Namun demikian muncul permasalahan, beberapa r

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Saeedimoghaddam, M., and C. Kim. "MODELING A SPATIO-TEMPORAL INDIVIDUAL TRAVEL BEHAVIOR USING GEOTAGGED SOCIAL NETWORK DATA: A CASE STUDY OF GREATER CINCINNATI." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W2 (October 20, 2017): 207–14. http://dx.doi.org/10.5194/isprs-annals-iv-4-w2-207-2017.

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Understanding individual travel behavior is vital in travel demand management as well as in urban and transportation planning. New data sources including mobile phone data and location-based social media (LBSM) data allow us to understand mobility behavior on an unprecedented level of details. Recent studies of trip purpose prediction tend to use machine learning (ML) methods, since they generally produce high levels of predictive accuracy. Few studies used LSBM as a large data source to extend its potential in predicting individual travel destination using ML techniques. In the presented rese

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Cools, Mario, Elke Moons, and Geert Wets. "Assessing the Quality of Origin–Destination Matrices Derived from Activity Travel Surveys." Transportation Research Record: Journal of the Transportation Research Board 2183, no. 1 (2010): 49–59. http://dx.doi.org/10.3141/2183-06.

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Pronello, Cristina, Davide Longhi, and Jean-Baptiste Gaborieau. "Smart Card Data Mining to Analyze Mobility Patterns in Suburban Areas." Sustainability 10, no. 10 (2018): 3489. http://dx.doi.org/10.3390/su10103489.

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This paper aims to define an algorithm capable of building the origin-destination matrix from check-in data collected in the extra-urban area of Torino, Italy, where thousands of people commute every day, using smart cards to validate their travel documents while boarding. To this end, the methodological approach relied on a survey over three months to record smart-card validations. Peak and off-peak periods have been defined according to validation frequency. Then, the origin-destination matrix has been estimated using the time interval between two validations to outline the different legs of

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Docquier, Frédéric, Giovanni Peri, and Ilse Ruyssen. "The Cross-country Determinants of Potential and Actual Migration." International Migration Review 48, no. 1_suppl (2014): 37–99. http://dx.doi.org/10.1111/imre.12137.

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In this study, we use cross-country bilateral data to quantify a two-step process of international migration and its aggregate determinants. We first analyze which country-specific factors affect the probability that individuals join the pool of potential (aspiring) migrants. Then, we consider the bilateral and destination country factors that affect the frequency at which potential migrants turn into actual migrants. Using information on potential migrants from World Gallup surveys and on actual migrants from national censuses for 138 origin countries and 30 major destinations between 2000 an

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Greve, Henrich R. "Interorganizational Learning and Heterogeneous Social Structure." Organization Studies 26, no. 7 (2005): 1025–47. http://dx.doi.org/10.1177/0170840605053539.

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Organizations can learn from the innovations made or adopted by other organizations. I present a framework for interorganizational learning that allows study of how learning is affected by the characteristics of the origin and destination organizations and their relationship. I survey recent findings within this framework and develop new propositions on the population-level consequences of interorganizational learning from innovations. I identify areas of work that have received insufficient attention and make new proposals for research.

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Bonilla-Escobar, FJ, and MI Gutierrez-Martínez. "Proposal for a road safety indicator based on origin-destination survey: the problem of indicators in developing countries." Injury Prevention 18, Suppl 1 (2012): A205.3—A206. http://dx.doi.org/10.1136/injuryprev-2012-040590u.7.

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