IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v117y2022icp118-137.html
   My bibliography  Save this article

Tour-based travel demand forecasting model for a university campus

Author

Listed:
  • Hamad, Khaled
  • Obaid, Lubna

Abstract

The interest in investigating transportation issues at university campuses has been growing worldwide. Given the university travelers’ unique travel patterns and characteristics influenced mainly by students, forecasting the travel demand of university travelers provides a unique opportunity to understand these patterns and seek solutions for transportation problems at such major trip generators. This study aims at developing a travel demand forecasting model (TDFM) for a university campus, which can be vital for testing alternative solutions, strategies, and policies to tackle transportation problems on university campuses, especially those related to sustainable transportation.

Suggested Citation

  • Hamad, Khaled & Obaid, Lubna, 2022. "Tour-based travel demand forecasting model for a university campus," Transport Policy, Elsevier, vol. 117(C), pages 118-137.
    • Handle: RePEc:eee:trapol:v:117:y:2022:i:c:p:118-137
    DOI: 10.1016/j.tranpol.2022.01.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X22000014
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2022.01.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Guo, Liya & Huang, Shan & Sadek, Adel W., 2013. "A novel agent-based transportation model of a university campus with application to quantifying the environmental cost of parking search," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 86-104.
    2. Mohammad Hesam Hafezi & Naznin Sultana Daisy & Lei Liu & Hugh Millward, 2018. "Daily activity and travel sequences of students, faculty and staff at a large Canadian university," Transportation Planning and Technology, Taylor & Francis Journals, vol. 41(5), pages 536-556, July.
    3. Hasnine, Md Sami & Habib, Khandker Nurul, 2018. "What about the dynamics in daily travel mode choices? A dynamic discrete choice approach for tour-based mode choice modelling," Transport Policy, Elsevier, vol. 71(C), pages 70-80.
    4. Timotheus Klein & Sonja Löwa, 2019. "Applying measures of modelling quality to a national time series: a benchmark for transport demand models," Transportation Planning and Technology, Taylor & Francis Journals, vol. 42(7), pages 679-695, October.
    5. Mohammad Hesam Hafezi & Naznin Sultana Daisy & Lei Liu & Hugh Millward, 2019. "Modelling transport-related pollution emissions for the synthetic baseline population of a large Canadian university," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 23(4), pages 519-533, October.
    6. Faza Fawzan Bastarianto & Muhammad Zudhy Irawan & Charisma Choudhury & David Palma & Imam Muthohar, 2019. "A Tour-Based Mode Choice Model for Commuters in Indonesia," Sustainability, MDPI, vol. 11(3), pages 1-20, February.
    7. Xueming Chen, 2012. "Statistical and activity-based modeling of university student travel behavior," Transportation Planning and Technology, Taylor & Francis Journals, vol. 35(5), pages 591-610, March.
    8. Md Sami Hasnine & Khandker Nurul Habib, 2021. "Tour-based mode choice modelling as the core of an activity-based travel demand modelling framework: a review of state-of-the-art," Transport Reviews, Taylor & Francis Journals, vol. 41(1), pages 5-26, January.
    9. Shan Huang & Liya Guo & Yan Yang & Irene Casas & Adel W. Sadek, 2012. "Dynamic demand estimation and microscopic traffic simulation of a university campus transportation network," Transportation Planning and Technology, Taylor & Francis Journals, vol. 35(4), pages 449-467, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hossain, Sanjana & Loa, Patrick & Ong, Felita & Habib, Khandker Nurul, 2022. "The determinants of commute mode usage frequency of post-secondary students in the Greater Toronto and Hamilton Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 164-185.
    2. Lewe, J.-H. & Hivin, L.F. & Mavris, D.N., 2014. "A multi-paradigm approach to system dynamics modeling of intercity transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 188-202.
    3. Beno Mesarec & Branka Trček, 2024. "Suggestions and Solutions for Enhancing Active Commuting to the University of Maribor and Advancing CO 2 Emission Reduction," Sustainability, MDPI, vol. 16(2), pages 1-21, January.
    4. Hasnine, Md Sami & Graovac, Ana & Camargo, Felipe & Habib, Khandker Nurul, 2019. "A random utility maximization (RUM) based measure of accessibility to transit: Accurate capturing of the first-mile issue in urban transit," Journal of Transport Geography, Elsevier, vol. 74(C), pages 313-320.
    5. Bindong Sun & Rui Guo & Chun Yin, 2023. "Inequity on suburban campuses: University students disadvantaged in self‐improvement travel," Growth and Change, Wiley Blackwell, vol. 54(2), pages 404-420, June.
    6. Butler, Alex & Sweet, Matthias, 2020. "No free rides: Winners and losers of the proposed Toronto Transit Commission U-Pass program," Transport Policy, Elsevier, vol. 96(C), pages 15-28.
    7. Weiwei Liu & Jin Zhang & Liang Jin & Jieshuang Dong & Osama Alfarraj & Amr Tolba & Qian Wang & Yihao He, 2023. "Sustainable Low-Carbon Layout of Land around Rail Transit Stations Based on Multi-Modal Spatial Data," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    8. Chidambaram, Bhuvanachithra & Janssen, Marco A. & Rommel, Jens & Zikos, Dimitrios, 2014. "Commuters’ mode choice as a coordination problem: A framed field experiment on traffic policy in Hyderabad, India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 9-22.
    9. Bursa, Bartosz & Mailer, Markus & Axhausen, Kay W., 2022. "Travel behavior on vacation: transport mode choice of tourists at destinations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 234-261.
    10. Zhan, Guangjun & Yan, Xuedong & Zhu, Shanjiang & Wang, Yun, 2016. "Using hierarchical tree-based regression model to examine university student travel frequency and mode choice patterns in China," Transport Policy, Elsevier, vol. 45(C), pages 55-65.
    11. Nourinejad, Mehdi & Roorda, Matthew J., 2017. "Impact of hourly parking pricing on travel demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 28-45.
    12. Cao, Jin & Menendez, Monica, 2018. "Quantification of potential cruising time savings through intelligent parking services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 151-165.
    13. Irawan, Muhammad Zudhy & Simanjuntak, Nurvita I.M. & Bastarianto, Faza Fawzan & Dwitasari, Reslyana & Herawati,, 2020. "Predicting the impact of Trans Java Toll Roads on demand for intercity air travel in Indonesia," Journal of Air Transport Management, Elsevier, vol. 87(C).
    14. Ren, Xiyuan & Chow, Joseph Y.J., 2022. "A random-utility-consistent machine learning method to estimate agents’ joint activity scheduling choice from a ubiquitous data set," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 396-418.
    15. Whalen, Kate E. & Páez, Antonio & Carrasco, Juan A., 2013. "Mode choice of university students commuting to school and the role of active travel," Journal of Transport Geography, Elsevier, vol. 31(C), pages 132-142.
    16. Zhu, Siying & Cai, Yutong & Wang, Mengtong & Wang, Hua & Meng, Qiang, 2023. "How will China–Singapore International Land–Sea Trade Corridor affect route choice behaviour? A discrete choice model," Transport Policy, Elsevier, vol. 144(C), pages 11-22.
    17. Ji, Shujuan & Wang, Xin & Lyu, Tao & Liu, Xiaojie & Wang, Yuanqing & Heinen, Eva & Sun, Zhenwei, 2022. "Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP: A non-linear and interaction effect analysis," Journal of Transport Geography, Elsevier, vol. 103(C).
    18. Zhang, Yu & Li, Leiming, 2022. "Research on travelers’ transportation mode choice between carsharing and private cars based on the logit dynamic evolutionary game model," Economics of Transportation, Elsevier, vol. 29(C).
    19. Muhammad Zudhy Irawan & Prawira Fajarindra Belgiawan & Tri Basuki Joewono & Nurvita I. M. Simanjuntak, 2020. "Do motorcycle-based ride-hailing apps threaten bus ridership? A hybrid choice modeling approach with latent variables," Public Transport, Springer, vol. 12(1), pages 207-231, March.
    20. Zhou, Jiangping, 2014. "From better understandings to proactive actions: Housing location and commuting mode choices among university students," Transport Policy, Elsevier, vol. 33(C), pages 166-175.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:117:y:2022:i:c:p:118-137. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.