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Journal articles on the topic 'Trip planner'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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1

Sierpiński, Grzegorz, Marcin Staniek, and Ireneusz Celiński. "Travel Behavior Profiling Using a Trip Planner." Transportation Research Procedia 14 (2016): 1743–52. http://dx.doi.org/10.1016/j.trpro.2016.05.140.

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2

Dinko, Alise, Irina Yatskiv Jackiva, and Evelina Budilovich Budiloviča. "Data Sources Analysis for Sustainable Trip Planner Development for Riga City." Transport and Telecommunication Journal 22, no. 3 (June 1, 2021): 321–31. http://dx.doi.org/10.2478/ttj-2021-0025.

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Abstract In today’s daily traveller world, not only the time and money became important, but climate change and pandemic raised the importance of safety and sustainability of future trip plans. In order to provide such a wide coverage for a variety of important information, a sustainable trip planner needs to receive a lot of data from a variety of differentiated data sources. Provided review of related works shows that a lot of started activities in this aspects gives all of us promises and hope that available Big Data sources will be wisely used in order to bring added value not only to individual travellers, but also society, the transportation services will become better structured and information will be easily available for smart and safe decision making, that gradually will increase life quality. The study’s main goal is analysis of open data sources for the trip planner development. Authors analysed availability of data for Riga transport system and data usage for sustainable trip planner.
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Basu, Abhishek, Bharathi Raja, Rony Gracious, and Lelitha Vanajakshi. "DYNAMIC TRIP PLANNER FOR PUBLIC TRANSPORT USING GENETIC ALGORITHM." Transport 35, no. 2 (April 21, 2020): 156–67. http://dx.doi.org/10.3846/transport.2020.12477.

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This paper reports the development of a public transport trip planner to help the urban traveller in planning and preparing for his commute using public transportation in the city. A Genetic Algorithm (GA) approach that handles real-time Global Positioning Systems (GPS) data from buses of the Metropolitan Transport Corporation (MTC) in Chennai City (India) has been used to develop the planner. The GA has been shown to provide good solutions within the problem’s computation time constraints. The developed trip planner has been implemented for static network data first and subsequently extended to use real-time data. The “walk mode” and Chennai Mass Rapid Transit System (MRTS) have also been included in the geospatial database to extend the route-planner’s capabilities. The algorithm has subsequently been segmented to speed up the prediction process. In addition, a temporal cache has also been introduced during implementation, to handle multiple queries generated simultaneously. The results showed that there is promise for scalability and citywide implementation for the proposed real-time route-planner. The uncertainty and poor service quality perceived with public transport bus services in India could potentially be mitigated by further developments in the route-planner introduced in this paper.
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S Shiva Shankar, M. K. Chandrasekharan,. "A Novel Trip Planner Using Effective Indexing Structure." International Journal of Innovative Research in Computer and Communication Engineering 03, no. 05 (May 30, 2015): 4316–21. http://dx.doi.org/10.15680/ijircce.2015.0305045.

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Lian, Xiang, and Lei Chen. "Trip Planner Over Probabilistic Time-Dependent Road Networks." IEEE Transactions on Knowledge and Data Engineering 26, no. 8 (August 2014): 2058–71. http://dx.doi.org/10.1109/tkde.2013.159.

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Vansteenwegen, Pieter, Wouter Souffriau, Greet Vanden Berghe, and Dirk Van Oudheusden. "The City Trip Planner: An expert system for tourists." Expert Systems with Applications 38, no. 6 (June 2011): 6540–46. http://dx.doi.org/10.1016/j.eswa.2010.11.085.

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7

IRFAN, A. SIDDAVATAM, PALAV ASAVARI, KHAN FALAK, OBHAN RADHIKA, and JADHAV RUPALI. "AN AI BASED ONE DAY TRIP PLANNER-EASE YOUR DAY." i-manager's Journal on Mobile Applications and Technologies 5, no. 1 (2018): 21. http://dx.doi.org/10.26634/jmt.5.1.14788.

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8

Borole, Nilesh, Dillip Rout, Nidhi Goel, P. Vedagiri, and Tom V. Mathew. "Multimodal Public Transit Trip Planner with Real-time Transit Data." Procedia - Social and Behavioral Sciences 104 (December 2013): 775–84. http://dx.doi.org/10.1016/j.sbspro.2013.11.172.

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Guo, Hao, Ashish Bhaskar, Bradley Casey, Marc Miska, and Edward Chung. "An Innovative Framework for Customised Intermodal and Multiobjective Trip Planner." International Journal of Intelligent Transportation Systems Research 15, no. 2 (June 7, 2016): 117–25. http://dx.doi.org/10.1007/s13177-016-0126-y.

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Darmawan, Viery, Rengga Asmara, and Ira Prasetyaningrum. "IMPLEMENTASI CONTEXT AWARE PADA SISTEM TRAVEL PLANNER BERBASIS MOBILE." METHOMIKA Jurnal Manajemen Informatika dan Komputerisasi Akuntansi 5, no. 1 (April 30, 2021): 23–27. http://dx.doi.org/10.46880/jmika.vol5no1.pp23-27.

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In the era of technological advances, tourists will first seek information about the tourist object to be addressed, even tourists often don't have a destination, so they have to search one by one via the internet. In determining travel plans, it is often to see one by one the review of tourist attractions and conclude the results will take a long time, while tourists need actual and fast information to determine the travel plans. In this study, the authors take a new approach, namely by creating a mobile-based travel planner system that compiles travel plans automatically by considering contextual information related to tourist location points, whether of tourist locations during travel days, travel opening and closing hours, so that it will increase travel efficiency without having to do the research manually which takes a long time. The system can also provide travel recommendations based on visitor comments sentiment on Google Places and is equipped with a trip route that will be generated automatically. This research is useful for helping tourists plan their trip actually because of the consideration of contextual information so that it will make it easier and save tourists time.
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Nirmala, Bagus Made Sabda, and Made Liandana. "ANALISIS USABILITAS PADA APLIKASI MOBILE TRIP PLANNER ETOURISM PARIWISATA DI BALI." Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) 6, no. 3 (January 4, 2018): 243. http://dx.doi.org/10.23887/janapati.v6i3.11928.

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Pariwisata merupakan salah satu sektor industri yang sangat berkembang di Bali. Masyarakat lokal seperti di desa Gobleg, desa Munduk, desa Sambangan, Desa Wanagiri dan desa lainnya di Bali mempertahankan cara alami dalam mengolah hasil alam mereka. Masyarakat lokal di desa ini, perlu mendapat perhatian lebih, dalam memperkenalkan sumber daya alam, sumber daya manusia serta kearifan lokal yang mereka miliki dalam industri pariwisata tanpa merusak tradisi yang sudah dimiliki desa tersebut. Saat ini masih kurang sarana untuk memperkenalkan kunjungan wisatawan domestik maupun mancanegara tentang potensi desa dan kearifan lokal di Bali. Kunjungan terhadap desa wisata jarang mendapat sentuhan promosi pariwisata pada umumnya. Kearifan lokal hingga desa wisata masih kurang memanfaatkan teknologi informasi serta media promosi yang efektif. Penelitian ini bertujuan untuk mengembangkan aplikasi mobile android Trip Planner, dalam bidang etourism yang dapat digunakan oleh wisatawan untuk mengetahui lokasi tempat wisata di sekitar desa wisata yang ada di Bali. Penelitian ini berfokus pada kebergunaan atau usabilitas dari aplikasi trip planner dengan mengukur aspek efficiency of use, learnability, satisfaction, memorability dan error frequency. Pengujian usabilitas ini digunakan untuk menunjukkan kemudahan user dalam menggunakan aplikasi ini. Pengujian dilakukan dengan memberikan pertanyaan terkait aspek usabilitas. Hasil pengujian menunjukkan nilai 3,73 dari skala 5 dalam hal kemudahan user mengingat kembali tampilan dan menu aplikasi ini yang mencakup aspek memorability dan satisfaction.
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Trépanier, Martin, Robert Chapleau, and Bruno Allard. "Can Trip Planner Log Files Analysis Help in Transit Service Planning?" Journal of Public Transportation 8, no. 2 (May 2005): 79–103. http://dx.doi.org/10.5038/2375-0901.8.2.5.

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13

Wang, Jiangyan, and Eugene M. Wilson. "Using Traffic Counts in Rural Statewide Transportation Planning." Transportation Research Record: Journal of the Transportation Research Board 1593, no. 1 (January 1997): 17–22. http://dx.doi.org/10.3141/1593-03.

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Statewide transportation planning in a rural state is presented to illustrate demand modeling using spreadsheet programs. An interactive planning approach is developed through the planner-computer interface approach to select the most applicable traffic count data for model input. For rural states in which spatial segmentation between communities is large, modeling fewer specific trip purposes is proposed. In Wyoming, this stratification resulted in two analysis trip purposes for rural statewide planning. This simplification and the results of the interactive modeling procedure illustrate the benefits of a tailored approach to statewide transportation planning for rural states with limited commuter work trips.
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Al-Behadili, Hayder Naser Khraibet, and Ku Ruhana Ku-Mahamud. "USER PERCEPTION USABILITY OF THE MALAYSIAN MOBILE TRIP PLANNER PLATFORM: A REVIEW STUDY." Journal of Information System and Technology Management 5, no. 18 (September 15, 2020): 46–60. http://dx.doi.org/10.35631//jistm.518005.

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Tourism is important due to its benefits and role as a commercial activity that creates demand and growth in many industries. Tourism is vital not only in increasing economic activities but also in generating additional employment and revenue. Malaysia has increased its efforts in diversifying the economy and decreasing its dependence on exports by promoting increased tourism in the country. For this reason, the use of information technology in tourism has increased. Hence, mobile applications and applet tools play an important role among Internet users. This research reviews 24 standardised usability questionnaires in the literature for choosing the appropriate usability instrument. Then, this study investigated the usability measurement scales of the well-known mobile application, Malaysia Trip Planner, on the basis of Nielsen’s usability principles. Therefore, this study could provide future research directions and recommendations on improving the attributes of such applications.
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15

Casey, Bradley, Ashish Bhaskar, Hao Guo, and Edward Chung. "Critical Review of Time-Dependent Shortest Path Algorithms: A Multimodal Trip Planner Perspective." Transport Reviews 34, no. 4 (June 4, 2014): 522–39. http://dx.doi.org/10.1080/01441647.2014.921797.

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16

Jakimavičius, Palevičius, Antuchevičiene, and Karpavičius. "Internet GIS-Based Multimodal Public Transport Trip Planning Information System for Travelers in Lithuania." ISPRS International Journal of Geo-Information 8, no. 8 (July 24, 2019): 319. http://dx.doi.org/10.3390/ijgi8080319.

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The main purpose of this research is to present the developed VINTRA system, a comprehensive solution to a fully developed public transit system in Lithuania, and it is very important in encouraging travelers to use public transport. VINTRA is not simply a trip planner; it is capable of planning multimodal public transport trips, using different parameters in public transport trip planning. This system has the functionality to create and edit public transport route trajectories and to edit and calculate timetables according to the distance between stops. This research presents the public transport trip planning parameters procedure of the calculated walking route directions, integrated with the calculation results of public transit routes, as well as combining visualization in digital maps. This paper also discusses how route-planning systems could perform data exchange based on General Transit Feed Specification and how assessment of the public transport trip planning results, compared to the VINTRA system created with Google, was performed.
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17

Lin, Teddy, Siva Srikukenthiran, Eric Miller, and Amer Shalaby. "Subway user behaviour when affected by incidents in Toronto (SUBWAIT) survey — A joint revealed preference and stated preference survey with a trip planner tool." Canadian Journal of Civil Engineering 45, no. 8 (August 2018): 623–33. http://dx.doi.org/10.1139/cjce-2017-0442.

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Transit user behavioural response under disrupted service conditions, specifically how transit riders choose among available mode options to complete their trips, is not well understood. This study aimed to investigate transit user mode choice in response to rapid transit service disruption in the City of Toronto, incorporating such factors as the type of disruption, stage of the passenger’s trip (pre-trip or en-route), weather conditions, and uncertainty of delay duration. A joint revealed preference (RP) and stated preference (SP) survey was designed where the RP part gathered information on the respondent’s actual response to the most recent service disruption while the SP part solicited the respondent’s travel choices under a set of hypothetical service disruption scenarios. A transit trip planner tool was developed to generate alternative transit mode and path options to avoid the disrupted segment. An empirical model using RP data is presented to verify the survey design technique.
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COMI, Antonio, Berta BUTTARAZZI, Massimiliano SCHIRALDI, Rosy INNARELLA, Martina VARISCO, and Paolo TRAINI. "An advanced planner for urban freight delivering." Archives of Transport 4, no. 48 (December 31, 2018): 27–40. http://dx.doi.org/10.5604/01.3001.0012.8363.

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The paper aims at introducing an advanced delivery tour planner to support operators in urban delivery operations through a combined approach which chooses delivery bays and delivery time windows while optimizing the delivery routes. After a literature review on tools for the management and the control of the delivery system implemented for optimizing the usage of on-street delivery bays, a prototypical tour delivery planner is described. The tool allows transport and logistics operators to book the delivery bays and to have real-time suggestions on the delivery tour to follow, through the minimization of the total delivery time. Currently, at development phase, the tool has been tested in a target zone, considering the road network and time/city delivering constraints and real-time data about vehicles location, traffic and delivery bay availability. The tool identifies the possible tours based on the delivery preferences, ranks the possible solutions according to the total route time based on information on the road network (i.e. travel time forecasts), performs a further optimization to reduce the total travel times and presents the user the best alternative along with the indications of which delivery bay to use in each delivery stop. The developed prototype is composed by two main parts: a web application that manages communication between the database and the road network simulation, and, an Android mobile App that supports transport and logistic operators in managing their delivering, pre trip and en route, showing and updating routing based on real-time information.
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Fatima, Kaniz, Sara Moridpour, and Tayebeh Saghapour. "Spatial and Temporal Distribution of Elderly Public Transport Mode Preference." Sustainability 13, no. 9 (April 23, 2021): 4752. http://dx.doi.org/10.3390/su13094752.

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The elderly population is increasing rapidly. Understanding travel behaviour for this group of commuters (in terms of the trip purpose and travel time) is necessary for future transport planning. Many researchers are working on travel’s spatial and temporal analysis to provide operational decision making and transport network planning. This research study’s primary purpose is to identify the influence of trip duration (using public transport), time of the day (usage of public transport), and public transport (PT) accessibility over public transport mode preference by elderly (over 65 years of age) commuters. The methodology of this study is divided into two parts as spatial analysis and temporal analysis. The research identified the dependency of trip duration, time of the day, geographical areas, and PT access over transport mode preference of elderly. The temporal study shows that transport mode preference can vary depending on trip purposes. However, for specific trip durations and times of the day, the elderly sometimes choose PT as a mobility mode. For instance, on shopping trips between 10:00 and 11:00 a.m., the elderly have a greater possibility of choosing public transport over private vehicles. Moreover, the results show the public transport mode preference based on different times of the day and trip purposes. Urban and transport planner can use the results to modify/plan public transport schedule, which can be easily accessible by the elderly population.
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Georgakis, Panagiotis, Adel Almohammad, Efthimios Bothos, Babis Magoutas, Kostantina Arnaoutaki, and Gregoris Mentzas. "Heuristic-Based Journey Planner for Mobility as a Service (MaaS)." Sustainability 12, no. 23 (December 4, 2020): 10140. http://dx.doi.org/10.3390/su122310140.

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The continuing growth of urbanisation poses a real threat to the operation of transportation services in large metropolitan areas around the world. As a response, several initiatives that promote public transport and active travelling have emerged in the last few years. Mobility as a Service (MaaS) is one such initiative with the main goal being the provision of a holistic urban mobility solution through a single interface, the MaaS operator. The successful implementation of MaaS requires the support of a technology platform for travellers to fully benefit from the offered transport services. A central component of such a platform is a journey planner with the ability to provide trip options that efficiently integrate the different modes included in a MaaS scheme. This paper presents a heuristic that implements a scenario-based journey planner for users of MaaS. The proposed heuristic provides routes composed of different modes including private cars, public transport, bike-sharing, car-sharing and ride-hailing. The methodological approach for the generation of journeys is explained and its implementation using a microservices architecture is presented. The implemented system was trialled in two European cities and the analysis of user satisfaction results reveal good overall performance.
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Asavasuthirakul, Duangduen, Antony Harfield, and Kraisak Kesorn. "A Framework of Personalized Travelling Information Services for Thailand." Advanced Materials Research 931-932 (May 2014): 1382–86. http://dx.doi.org/10.4028/www.scientific.net/amr.931-932.1382.

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Planning each comprehensive trip is regarded as a complicated and time-consuming task which includes the process starting from searching specific tourist information to planning an itinerary in unfamiliar areas. In response to the decision making challenges that tourists may encounter in planning a trip or discovering a destination, this paper proposes an integrated framework for a system supporting tourists in Thailand. The aim of the framework is to provide a service that considers data from a variety of sources, including static and social data, and then recommends points of interest (POI) and itineraries for POI, based on the requirements and interests of the user. The framework consists of three components: a personalized POI recommendation engine, an itinerary planner, and a mobile application. Together these form the foundation of a personalized travelling information system for Thailand. This paper outlines the basic framework and provides a discussion on the potential issues encountered.
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Mahmoud, Mohamed S., Khandker M. Nurul Habib, and Amer Shalaby. "Survey of Cross-Regional Intermodal Passenger Travel." Transportation Research Record: Journal of the Transportation Research Board 2526, no. 1 (January 2015): 108–18. http://dx.doi.org/10.3141/2526-12.

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This paper presents an investigation of the mode choice behavior of cross-regional commuters in the greater Toronto and Hamilton area of Ontario, Canada. A survey of cross-regional intermodal passenger travel (called SCRIPT) was developed and conducted during the spring and the fall of 2014. SCRIPT collects data on respondents' revealed preference in daily commuting trips to pivot each respondent's mode choice stated preference experiment separately. An innovative multimodal trip planner tool was developed to generate feasible travel options for each stated preference experiment with information on household auto ownership level, proximity to transit, work start time, and total travel time from home to work, as well as predeveloped discrete choice models to identify access station locations of intermodal travel modes. The stated preference experiments were based on the D-efficient design technique. The survey used 1,203 randomly selected cross-regional commuters. The paper reports on a mode choice model estimated by the revealed preference data portion of the survey to verify the validity of the survey design, sampling procedure, and data quality. An empirical model provides insight into cross-regional commuters' mode choice behavior.
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Mohammad Arif, Abu Shamim, and Jia Tina Du. "Understanding collaborative tourism information searching to support online travel planning." Online Information Review 43, no. 3 (June 10, 2019): 369–86. http://dx.doi.org/10.1108/oir-05-2017-0141.

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Purpose Collaborative information searching is common for people when planning their group trip. However, little research has explored how tourists collaborate during information search. Existing tourism Web portals or search engines rarely support tourists’ collaborative information search activities. Taking advantage of previous studies of collaborative tourism information search behavior, in the current paper the purpose of this paper is to propose the design of a collaborative search system collaborative tourism information search (ColTIS) to support online information search and travel planning. Design/methodology/approach ColTIS was evaluated and compared with Google Talk-embedded Tripadvisor.com through a user study involving 18 pairs of participants. The data included pre- and post-search questionnaires, web search logs and chat history. For quantitative measurement, statistical analysis was performed using SPSS; for log data and the qualitative feedback from participants, the content analysis was employed. Findings Results suggest that collaborative query formulation, division of search tasks, chatting and results sharing are important means to facilitate tourists’ collaborative search. ColTIS was found to outperform Tripadvisor significantly regarding the ease of use, collaborative support and system usefulness. Originality/value The innovation of the study lies in the development of an integrated real-time collaborative tourism information search system with unique features. These features include collaborative query reformulation, travel planner and automatic result and query sharing that assist multiple people search for holiday information together. For system designers and tourism practitioners, implications are provided.
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Barker, Christopher H., and David Wesley. "THE TRAJECTORY RECOVERY ANALYSIS PLANNER (TRAP): A TOOL FOR MODELING THE POTENTIAL SUCCESS OF RESPONSE PLANS1." International Oil Spill Conference Proceedings 2005, no. 1 (May 1, 2005): 253–58. http://dx.doi.org/10.7901/2169-3358-2005-1-253.

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ABSTRACT A new approach to modeling potential success of skimmers and booming strategies has been developed to aid planners in assessing the use of limited resources in their response plans. The Trajectory Recovery Analysis Planner (TRAP) extends the approach of NOAA's Trajectory Analysis Planner (TAP) to provide a way for oil spill response planners to assess the likely effectiveness of their response plans across a wide variety of possible spill scenarios. As a real spill could happen in a wide variety of conditions, multiple response scenarios need to be simulated on a wide variety of oil spill trajectories. Each trajectory represents a different historical spill start time with random initial tide phase and corresponding weather conditions at that time, based on past records for the location. For each trajectory, an approximation of the weathering of the oil is calculated, and booming and skimming operations are simulated. The response simulations take into account many of the limitations of actual response operations, including daylight hours, equipment shortages, wave height failure, skimmer travel times, skimmer encounter rates, and skimmer efficiencies. The result is a wide variety of data about the simulated response. TRAP provides statistics summarizing those results. These results can give planners a realistic expectation of the likely success of their planned operations under both helpful and adverse conditions. The results also provide a summary of the shortcomings in the plan, allowing planners to determine where the weaknesses in their plans lie, including the reason for booming strategy failure, and less that expected skimmer recovery. The plan can then be altered and processed again, resulting in information about how those alterations might improve or degrade a response. The types of questions that can be addressed are: Is it better to have more small skimmers, or fewer large ones? Which booming strategies are most effective? Does boom need to be pre-positioned to speed the installation of a given strategy? TRAP thus gives planners a tool with which to quickly and easily explore a wide variety of possible response plans, and help determine where precious resources are best assigned.
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Nuzzolo, Agostino, Umberto Crisalli, Antonio Comi, and Luca Rosati. "Individual Behavioural Models for Personal Transit Pre-trip Planners." Transportation Research Procedia 5 (2015): 30–43. http://dx.doi.org/10.1016/j.trpro.2015.01.015.

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Nuzzolo, Agostino, and Antonio Comi. "Individual utility-based path suggestions in transit trip planners." IET Intelligent Transport Systems 10, no. 4 (May 1, 2016): 219–26. http://dx.doi.org/10.1049/iet-its.2015.0138.

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27

Coleman, Alice. "Planned Housing as a Social Trap." London Journal 12, no. 2 (November 1986): 172–81. http://dx.doi.org/10.1179/ldn.1986.12.2.172.

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Walker, Joan L. "Making Household Microsimulation of Travel and Activities Accessible to Planners." Transportation Research Record: Journal of the Transportation Research Board 1931, no. 1 (January 2005): 38–48. http://dx.doi.org/10.1177/0361198105193100105.

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There is a large gap between the aggregate, trip-based models used by transportation planning agencies and the activity-based, microsimulation methods espoused by those at the forefront of research. The modeling environment presented here is intended to bridge this gap by providing a palatable way for planning agencies to move toward advanced methods. Three components to bridging the gap are emphasized: an incremental approach, a demonstration of clear gains, and a provision of an environment that eases initial implementation and allows for expansion. The modeling environment (called STEP2) is a household microsimulator, developed in TransCAD, that can be used to implement a four-step model as well as models with longer-term behavior and trip chaining. An implementation for southern Nevada is described, and comparisons are made with the region's aggregate four-step model. The models perform similarly in numerous ways. A key advantage to the microsimulator is that it provides impacts by socioeconomic group (essential for equity analysis) and individual trip movements (for use in a vehicle microsimulator). A sensitivity analysis indicates that the microsimulation model has less inelastic cross elasticity of transit demand with respect to auto travel times than the aggregate model (aggregation error). The trade-off is that microsimulators have simulation error; results are presented regarding the severity of this error. This work shows that a shift to microsimulation does not necessarily require substantial investment to achieve many of the benefits. One of the greatest advantages is a flexible environment that can expand to include additional sensitivity to demographics and transportation policy variables.
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Huang, R. "Modeling transit networks by GML for distributed transit trip planners." Journal of Spatial Science 53, no. 1 (June 2008): 1–15. http://dx.doi.org/10.1080/14498596.2008.9635131.

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Baker, R. G. V. "Multipurpose Shopping Behaviour at Planned Suburban Shopping Centres: A Space—Time Analysis." Environment and Planning A: Economy and Space 28, no. 4 (April 1996): 611–30. http://dx.doi.org/10.1068/a280611.

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There is a continual interest in research on multipurpose shopping (MPS), because it provides a further extension of rational decisionmaking, whereby consumers who combine shopping activities reduce the time and cost of travel. The literature describes the importance of this type of shopping for infrequent trips to higher order centres (Bacon, 1984) or MPS constructed around convenience, supermarket, or comparison trips (West, 1993). A study of MPS at a range of planned suburban shopping centres (PSSCs) in Sydney, Australia during 1988/89 endeavoured to relate these hypotheses to results from a space—time differential consumer-trip model (Baker, 1994). The standardised number of MPS consumers is shown to form a substantial quadratic relationship with centre scale. The model predicts positive and negative states of MPS. An investigation of the shopping patterns within the data set shows the ‘negative’ MPS is based around the supermarket visit (supporting the West hypothesis). This strategy is adopted both by low mobility and by high disposable income groups within a shopping-centre hierarchy. ‘Positive’ MPS occurs for shifts in trip purpose, where comparison shopping (such as, for gifts or clothing) is the fundamental construct behind the multipurpose trip. This study shows that distinctly different socioeconomic groups can have in common an MPS strategy independent of centre scale, and it is argued that these groups are using this strategy as a mechanism to minimise the total effort in the shopping cycle.
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binti Mohd Shafie, Shafida Azwina, Ahmad Farhan Mohd Sadullah, Meor Othman Hamzah, and Lee Vien Leong. "The Alternative Trip Generation Model for Flat/Apartment/Condominium and Low Cost Housing Subcategories." Applied Mechanics and Materials 802 (October 2015): 369–74. http://dx.doi.org/10.4028/www.scientific.net/amm.802.369.

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Malaysian Trip Generation Manual (MTGM) is an important document to assist transport planners in forecasting the estimated trip attraction and trip production from a land use. The forecast is crucial in estimating trip generation from a proposed development on the existing road network. Therefore, this study is to verify the accuracy of the existing trip generation model published in MTGM for flat/apartment/condominium and low cost housing subcategories. By applying variable transformation, four alternative models were developed. They were the logarithmic model, the inverse model, the linear-logarithmic model and the logarithmic-linear model. Using residual analysis, influential data was identified and taken out for second analysis. Model selection was based on R2 value, t-test and Kolmogorov-Smirnov test results. Besides linear model, logarithmic model is also truly representing trip generation model for both subcategories. There is some difference in the trip generation estimation between the study model and the existing model in MTGM. Sensitivity analysis shows the level of sensitivity between study model and existing linear model. One of the implications in using the studied trip generation model is in evaluating level of service of the junction.
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Gilbride, Timothy J., J. Jeffrey Inman, and Karen Melville Stilley. "The Role of Within-Trip Dynamics in Unplanned versus Planned Purchase Behavior." Journal of Marketing 79, no. 3 (May 2015): 57–73. http://dx.doi.org/10.1509/jm.13.0286.

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Isaac, Donna. "First Person: The play is not the thing." Phi Delta Kappan 101, no. 6 (February 24, 2020): 58–60. http://dx.doi.org/10.1177/0031721720909618.

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Donna Isaac and her students were looking forward to a field trip to Minneapolis to see a theatrical production of some of the stories they were studying in class. But that changed when, on the day of the trip, a parade was scheduled to celebrate the Minnesota Twins’ recent World Series win. School was cancelled so students could attend the parade, but it was too late to cancel the trip. Students were disappointed to miss the celebration, and the crowds filled the streets the group was supposed to traverse. Despite the disastrous day, Isaac continues to believe field trips are worth it, even when they don’t go as planned.
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Palakurthy, Ravi, Li-Wei Tung, Lee Cryer, and Lacy Bell. "Trip Generation Rates at Park-and-Ride Facilities with Regional Bus and Light Rail Service: A Supplement to ITE Trip Generation Data." Transportation Research Record: Journal of the Transportation Research Board 2651, no. 1 (January 2017): 60–70. http://dx.doi.org/10.3141/2651-07.

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A park-and-ride (P&R) is a parking facility with connections to public transit service. The ITE Trip Generation Manual, ninth edition, presented trip generation rates separately for P&R facilities with bus and light rail service; however, the small sample sizes (maximum sample size was six studies) and outdated trip generation rates (between the 1980s and the 2000s) may not be an accurate representation for transportation engineers and planners to estimate the traffic impacts of P&R facilities correctly. This paper describes a comprehensive trip generation study that was performed at 40 regional transportation district P&R facilities in the Denver, Colorado, region with regional bus and light rail transit service. Similar to the ITE manual, this study estimated and produced weighted-average trip rates and regression equations. The sample size and variation in the data collected in this study can be used as a good representation for computing trip generation locally or for being applied to cities with similar transit systems and P&R design criteria.
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Ştefănescu, Patrick, Marian Mocan, Werner Ştefănescu, and Petrişor Viorel Neculai. "Trip Planners Used in Public Transportation. Case Study on the City of Timişoara." Procedia - Social and Behavioral Sciences 124 (March 2014): 142–48. http://dx.doi.org/10.1016/j.sbspro.2014.02.470.

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Ahmed, Ishtiaque, Suleiman Abdulrahman, Mohd Rosli Hainin, and Sitti Asmah Hassan. "Trip Generations at “Polyclinic” Land Use Type in Johor Bahru, Malaysia." PROMET - Traffic&Transportation 26, no. 6 (December 30, 2014): 467–73. http://dx.doi.org/10.7307/ptt.v26i6.1462.

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Transportation planners need to estimate the trip generations of different land use types in the travel demand forecasting process. The Trip Generation Manual of Malaysia, similar to the Trip Generation Manual of the Institute of Transportation Engineers, USA, provides the trip generation rate at “Polyclinics” as a function of the Gross Floor Area. However, the data for this rate have no line of best fit resulting in the lack of confidence in the prediction. This study considered ten locations in Malaysia and verified the significance of different parameters, i.e. Number of Doctors, Number of Staff, Gross Floor Area and Density of Similar Clinics within 0.5 kilometre radius in Johor Bahru, Malaysia. The study developed regression equations for estimating the peak hours and daily trips at polyclinics in terms of “Number of Doctors”. The developed models can be used in estimating the number of trips generated by the polyclinics in Johor Bahru, Malaysia.
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Remenick, Lauren. "Learning in the HJ Andrews Forest: Experiences and Outcomes at a Science Education Event." Journal of Interpretation Research 23, no. 1 (April 2018): 57–68. http://dx.doi.org/10.1177/109258721802300105.

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Understanding best practices in various interpretive settings and contexts may help event planners to implement successful educational programs in which participants are satisfied with their experience and learning outcomes. With this in mind, we sought to examine participants’ perceptions and outcomes of a science education event in Oregon's HJ Andrews Experimental Forest, HJA Day. Data from 76 participants were quantitatively analyzed to understand how participants’ satisfaction with the field trip elements related to their perceived outcomes. Most participants were very satisfied with the field trip elements. Participants perceived overall satisfaction to be their greatest outcome, followed by overall appreciation, knowledge gain, and then change in thinking. All main outcomes positively and significantly correlated except for overall satisfaction and change in thinking. These findings may inform program planners of the experiences and outcomes that result from a field-based learning setting, thus allowing insight and preparation for similar programs in the future.
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Holguín-Veras, José, and Ellen Thorson. "Trip Length Distributions in Commodity-Based and Trip-Based Freight Demand Modeling: Investigation of Relationships." Transportation Research Record: Journal of the Transportation Research Board 1707, no. 1 (January 2000): 37–48. http://dx.doi.org/10.3141/1707-05.

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Commodity-based and vehicle-trip-based freight demand modeling is discussed. The characteristics of the trip length distributions (TLDs) are examined, defined in terms of tons, as required in commodity-based modeling, and in vehicle trips, as required in trip-based modeling. With data used from a major transportation study in Guatemala, the TLDs are estimated for both tons and vehicle trips. The analysis revealed that ( a) the shape of the TLDs depends upon the type of movements being considered; ( b) TLDs defined in terms of tonnage differ significantly from those defined in terms of vehicle trips; ( c) TLDs for different types of vehicles, transporting similar commodities, reflect the range of use of each type of vehicle; ( d) though tons TLDs and vehicle TLDs are different, the relationship between them seems to follow a systematic pattern that, if successfully identified, would enable transportation planners to estimate one type of TLD given the other; and ( e) major freight generators affect the shape of the TLDs, so complementary models may be needed to provide meaningful depictions of freight movements.
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Westrom, Ryan, Stephanie Dock, Jamie Henson, Mackenzie Watten, Anjuli Bakhru, Matthew Ridgway, Jennifer Ziebarth, et al. "Multimodal Trip Generation Model to Assess Travel Impacts of Urban Developments in the District of Columbia." Transportation Research Record: Journal of the Transportation Research Board 2668, no. 1 (January 2017): 29–37. http://dx.doi.org/10.3141/2668-04.

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The research effort described in this paper aims to develop a state-of-the-practice methodology for estimating urban trip generation from mixed-use developments. The District Department of Transportation’s initiative focused on ( a) developing and testing a data collection methodology, ( b) collecting local data to complement the ITE’s national data in trip rate estimation, and ( c) developing a model–tool that incorporates contextual factors identified as affecting overall trip rate as well as trip rate by mode. The final model accurately predicts total person trips and mode choice. The full set of models achieves better statistical performance in relation to average model error and goodness of fit than either ITE rates alone or other existing research. The model includes sensitivity to local environment and on-site components. The model advances site-level trip generation research in two major ways: first, it calculates total person trips independent of mode choice; second, it calculates mode choice with sensitivity to the amount of parking provided on site—a major finding in the connection between parking provision and travel behavior at a local-site level. The methodology allows agencies to improve their assessment of expected trips from proposed buildings and therefore the level of impact a planned building may have on the transportation system.
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Otten, Mark R. M. "Effectiveness of Full (Comprehensive) Preparatory Units for College Study Abroad Field Trips." Journal of Education and Learning 7, no. 4 (May 15, 2018): 40. http://dx.doi.org/10.5539/jel.v7n4p40.

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Research shows that students are likely to experience novelty (unfamiliarity) at field trip locations, resulting in extended, unproductive disorientation and inhibition of learning. Carefully-planned preparatory units, delivered prior to the field trip experience, have been shown to mitigate the negative effects of novelty. Anonymous online surveys and written responses to critical thinking questions were used to assess the effect of full (comprehensive) pre-field trip preparatory units on measures potentially influenced by novelty during a 25-day college study abroad program. Survey responses indicate that full preparatory units did not significantly affect student perception of readiness or location familiarity. While few statistically-significant differences were detected, data suggests that full preparatory units probably enhanced student satisfaction with the field trip experience and fostered better performance on critical thinking assessments. These findings support the conclusion that full preparatory units were, on the whole, more beneficial to learning during study abroad field trips than were minimal preparatory units. Findings also suggest that college students may not suffer the negative effects of novelty as intensely as younger students and that the physical size and complexity of the field trip location may reduce student confidence in navigating the location and slow student completion of on-location tasks.
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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 (August 1, 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). Differences and trends by subgroups in the proportion of each purpose-oriented trip were tested using pairwise comparisons and polynomial contrasts. Results: About 14% of U.S. adults reported ≥1 walking trip on a given day. About 64% of trips were HB trips. There were few differences in prevalence for each purpose by subgroup. For example, prevalence of trips that were not HB decreased significantly with increasing age and increased with increasing education and household income. Conclusions: Given age-related and socioeconomic differences in walking trips by purpose, planners and other professionals may want to consider trip origin and destination purposes when prioritizing investments for the creation of activity-friendly routes to everyday destinations where people live, work, and play.
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Olaseni, Abubakar, and Wale Alade. "Travel Behaviour of the Elderly in Planned and Unplanned Communities of Lagos Metropolis, Nigeria." Built Environment Journal 17, no. 1 (March 25, 2020): 27. http://dx.doi.org/10.24191/bej.v17i1.9663.

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Interests in the study of travel behaviour of the elderly have been growing in the last two decades and many of the works done are concentrated in the global north. Evidence from literature reveals that most of these studies focus more on the impact of individual and household socioeconomic attributes, urban form, travel attributes, and policy factors on the travel behaviour of the elderly, but less on the influence of neighbourhood planning. This paper examined the travel behaviour of old people in Festac town (planned) and Ketu (unplanned) community of Lagos metropolis, southwest Nigeria with a view to determining the influence of neighbourhood planning on travel pattern. The two neighbourhoods were carefully and purposively selected for collection of socio-economic and travel data through structured questionnaire that was administered on 155 randomly selected elderly respondents. The study revealed significant differences and some similarities in respondents’ socio-economic and travel characteristics. Respondents from the planned community have a higher daily mean trip rate and mean trip time than those in unplanned community. Residents of planned community also undertake higher work and social trips and rely on automobile more than those in unplanned community. Apart from the fact that the majority of respondents travel more during the off-peak period, frequent road congestion was reported as the top mobility challenge among respondents in the two neighbourhoods. The study concluded that neighbourhood planning affects travel behaviour and recommended a walkable neighbourhood concept and promotion of elderly friendly public transport system for the study area.
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43

Doherty, Sean T. "How Far in Advance Are Activities Planned?" Transportation Research Record: Journal of the Transportation Research Board 1926, no. 1 (January 2005): 41–49. http://dx.doi.org/10.1177/0361198105192600106.

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The development of simulation models of activity-scheduling behavior has gained momentum over the past decade as a means to forecast travel demands. Of fundamental concern in these models is the process or timing of scheduling decisions–-or planning time horizon. Conceptually, it is understood that activities are planned over varying time horizons, but little empirical evidence exists. One way to explore these issues is to ask people to self-report when they planned their activities. However, this is a difficult question for researchers to formulate and for people to comprehend and recall, because people often plan (and replan) activity attributes over an extended period of time, some without much conscious thought. The objective of this paper is to describe the development of a planning time horizon query that was part of a larger activity scheduling process survey and to provide one of the first empirical analyses based on a random sample of 373 respondents. Included is a detailed examination of activity addition, modification, and trip-planning time horizons as well as analysis of “routine” and “unrecalled” decisions. Results indicate that people have the ability to recall a high level of detail on a planning time horizon, ranging from decisions made long ago that establish an initial skeleton schedule to continued preplanning in the days leading up to the event day and impulsive decisions made the day of the event. The implications of these results for future survey design and development of an activity-scheduling process simulation model are discussed.
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Decorla-Souza, Patrick, Brian Gardner, Michael Culp, Jerry Everett, Chimai Ngo, and James Hunt. "Estimating Costs and Benefits of Transportation Corridor Alternatives." Transportation Research Record: Journal of the Transportation Research Board 1606, no. 1 (January 1997): 115–23. http://dx.doi.org/10.3141/1606-14.

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Although benefit-cost assessment is a useful tool in structuring the decision making process, it has not generally been used to assist in multi-modal decision making in metropolitan areas. Also, although detailed zone-to-zone trip information can be obtained from metropolitan travel-demand models, this information is not currently used by planners in developing detailed information on cross-modal comparisons of costs and benefits. A real-world application of benefit-cost analysis for multi-modal decision making using detailed zone-to-zone trip data output from travel-demand models for the I-15 corridor in Salt Lake City is presented. The analysis was conducted at two levels: corridor and region-wide. The research suggests that, when major investments are to be evaluated, the analyst should be very cautious in performing corridor-level analyses when such a trip-based approach is used, because of significant effects on the evaluation caused by traffic diverted into (or out of) the corridor.
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Cashing, Douglas L., and Albert White. "The Mathematics of Wrong Turns." Mathematics Teacher 79, no. 8 (November 1986): 615–16. http://dx.doi.org/10.5951/mt.79.8.0615.

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Have you ever made a wrong turn white traveling in unfamiliar territory? If you are on a schedule, the question arises as to how fast you must now travel to complete the trip as planned. Let's restate this problem in more specific terms, generating one that can provide practice in algebraic manipulation while maintaining a sense of real-world usefulness.
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46

Roh, Hyuk-Jae. "Mode Choice Behavior of Various Airport User Groups for Ground Airport Access." Open Transportation Journal 7, no. 1 (October 18, 2013): 43–55. http://dx.doi.org/10.2174/1874447820130930002.

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In this research, we used a multinomial logit (MNL) discrete choice analysis technique to deepen the understanding of the mode choice behavior of various airport user groups categorized by trip purpose and trip distance for ground airport access. We used revealed preference (RP) data collected by an on-site-survey administrated by the Korea Transport Institute (KOTI) at the Kimpo International Airport passenger terminal in South Korea. Initially, four basic models were selected from a variety of model specifications, and these were analyzed to address general preferences in mode choice. The models were then evaluated in terms of the resulting estimation. The best-fitting model specification among four models was chosen for further study. Both trip distance models (standard-distance (SD) and long-distance (LD)) and trip purpose models (departing (D) and non-departing (ND)) were estimated. The results analyzed in this study encompass an unambiguous spectrum of mode choice behaviors associated with distinct airport user groups. The fundamental information, either revealed or reflected by modeling ground airport access for various airport user groups, could be essential not only to transportation planners -especially at the first phase of airport planning- but also to airport authorities faced with difficulties in managing ground transportation facilities to effectively serve airport users.
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Fuady, Shahnaz Nabila, Divia Indira Arifin, and Aleksander Purba. "BANGKITAN DAN TARIKAN PERGERAKAN DI KAWASAN PENDIDIKAN KOTA BANDAR LAMPUNG." Jurnal Transportasi 21, no. 1 (June 6, 2021): 37–44. http://dx.doi.org/10.26593/jtrans.v21i1.4827.37-44.

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Abstract The movement of people to fulfill their needs must be well planned, so that traffic congestion can be avoided. The increasing population in Bandar Lampung has an impact on the number of movements as a whole, and one of them is in the school area on Jalan Cendana-Jalan Ir. H. Juanda. This study aims to determine the generation and attraction models of movement in the school area, on Jalan Cendana-Jalan Ir. H. Juanda, Bandar Lampung. This study shows that the factors that influence the trip generation and trip attraction in the study area are the number of classrooms, the number of teachers and staffs, and student daily allowances. In addition, the trip generation and trip attraction that occur are large enough to affect traffic, especially in the morning, which indicates high land use activities in the morning in the area. Keywords: school area; traffic congestion; trip generation; trip attraction. Abstrak Pergerakan manusia untuk memenuhi kebutuhannya harus direncanakan dengan baik, agar kemacetan lalu lintas dapat dihindari. Jumlah penduduk di Kota Bandar Lampung yang terus meningkat berdampak pada jumlah pergerakan secara keseluruhan, dan salah satunya pada kawasan pendidikan di Jalan Cendana-Jalan Ir. H. Juanda. Penelitian ini bertujuan untuk mengetahui model bangkitan dan tarikan pergerakan di kawasan pendidikan, di Jalan Cendana-Jalan Ir. H. Juanda, Bandar Lampung. Studi ini menunjukkan bahwa faktor-faktor yang memengaruhi bangkitan dan tarikan pergerakan di wilayah studi adalah jumlah ruang kelas, jumlah guru dan tenaga kependidikan, serta uang saku murid per hari. Selain itu, bangkitan dan tarikan pergerakan yang terjadi cukup besar untuk memengaruhi lalu lintas, terutama di pagi hari, yang menandakan tingginya aktivitas guna lahan pada pagi hari di kawasan tersebut. Kata-kata kunci: kawasan pendidikan; kemacetan lalu lintas; bangkitan pergerakan; tarikan pergerakan.
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Stepchenkova, Svetlana, Mikhail I. Rykhtik, Elena Shichkova, Hany Kim, and Olga Petrova. "Segmentation for urban destination: gender, place of residence, and trip purpose: a case of Nizhni Novgorod, Russia." International Journal of Tourism Cities 1, no. 1 (February 9, 2015): 70–86. http://dx.doi.org/10.1108/ijtc-08-2014-0013.

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Purpose – The purpose of this paper is to examine whether a priori segmentation of visitors to a large urban destination along the dimensions of gender, place of residence (domestic, former states, and international), and trip purpose (business, leisure, and VFR) is indeed commonsense for the city's DMO. Specifically, the study investigated whether gender, place of residence, and trip purpose are associated with tourists’ destination risk perceptions, evaluations of destination performance, and post-visitation behavior; that is, intention to revisit and willingness to recommend. Design/methodology/approach – The analysis used data obtained in a 2013 survey of visitors to Nizhni Novgorod, a large urban center in Russia. Findings – The results indicate that place of residence and trip purpose discriminate tourists with respect to selected variables and can serve as segmentation bases for marketing communications about the city to potential target markets. Practical implications – In view of the mega-sport events to be conducted in Nizhni Novgorod in 2018, alleviating risk perceptions of international tourists and improving their experiences while at the destination are important goals for the city government, tourism planners, and destination marketing organizations. Originality/value – Segmentation bases of place of residence and trip purpose have rarely been examined in relation to a large multifunctional city, while gender has produced varying results. Thus, the study can add to the segmentation literature in the urban context.
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Buldu, Dilek, and Fulya Oner Armagan. "Determination of the opinions of prospective science teachers about the planned trip to the sugar factory." International Journal of Innovative Research in Education 6, no. 2 (December 31, 2019): 21–39. http://dx.doi.org/10.18844/ijire.v6i2.4474.

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In this study, it was aimed to determine the opinions of pre-service science teachers about the planned trip to the sugar factory. This study was carried on phenomenology method which is one of the qualitative research methods. The study was carried out with the fourth year students of pre-service science teaching in Erciyes University in 2018-2019 academic year.The data were obtained with semi-structured open-ended questions. The document analysis used in the research was controlled by a science teacher and a science education expert. Codes were generated from the pre-service science teachers' views using content analysis. In the study, it was concluded that out-of-school learning environments have positive effects on science learning and these trips provide permanent and meaningful learning when included in the program. In addition, it was found that out-of-school learning environments concretize knowledge, and discovering new places increases students' desire for science. As students gain experience and make inferences by making observations in out-of-school learning environments, excursions related to courses should be organized. Keywords: Informal learning environments, Kayseri Sugar factory, phenomenology, pre-service science teacher
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Johnson, Brian J., Russell Manby, and Gregor J. Devine. "Further Evidence that Development and Buffer Zones Do Little To Reduce Mosquito Nuisance from Neighboring Habitat." Journal of the American Mosquito Control Association 36, no. 3 (September 1, 2020): 204–7. http://dx.doi.org/10.2987/20-6951.1.

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ABSTRACT Little is known regarding the comparative source–sink relationships between primary mosquito breeding sites (source) and neighboring (sink) environments in heterogeneous landscapes. An exploration of those relationships may provide unique insights into the utility of open-space buffer zone mitigation strategies currently being considered by urban planners to reduce contact between mosquitoes and humans. We investigated the source–sink relationships between a highly productive mosquito habitat and adjacent residential (developed) and rural (undeveloped) coastal environments. Our results suggest that source–sink relationships are unaffected by environment. This conclusion is supported by the high level of synchronicity in daily saltmarsh mosquito abundance observed among all surveyed environments (β = 0.67–0.79, P < 0.001). This synchronicity occurred despite the uniqueness of each surveyed environment and the considerable distances of open water and land (2.2–2.6 km) between them. Trap catches, which we interpret as expected mosquito biting nuisance, were high in both residential and rural coastal landscapes (309.4 ± 52.84 and 405.3 ± 62.41 mosquitoes/day, respectively). These observations suggest that existing and planned open-space buffer zones will do little to reduce the biting burden caused by highly vagile saltmarsh mosquitoes. This strengthens the need for empirically informed planning guidelines that alert urban planners to the real risks of human residential encroachment on land that is close to highly vagile mosquito habitat.
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