IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v77y2019icp39-47.html
   My bibliography  Save this article

Developing a pedestrian destination choice model using the stratified importance sampling method

Author

Listed:
  • Berjisian, Elmira
  • Habibian, Meeghat

Abstract

Pedestrian destination choice models are among the issues that have not been adequately addressed by transportation researchers. Several issues should be considered in order to develop a pedestrian destination choice model, including the method used to generate destination choice sets as well as the specification of different environmental variables that influence walking. Although some studies use built environment variables to elaborate on pedestrian destination choice models, almost all of them neglect the importance of the choice set generation method and rely merely on the random sampling method. This study illustrates the extent to which a choice set generation method can influence the parameter estimates of a pedestrian destination choice model. Here, in addition to the random sampling method, the method of stratified importance sampling is addressed to develop a pedestrian destination choice model for the city of Rasht, Iran. In addition, an exhaustive array of built environment variables that are known to have a significant effect on walking is employed. The results suggest that using stratified random sampling can improve the destination choice model in both goodness of fit and percent correct of the prediction of pedestrians' destination. The relative importance of environmental variables with respect to altering the pedestrians' destination choices is demonstrated through their elasticities' values. Two scenarios, which aim to improve the walking environment by enhancing network connectivity, are examined. As a result, the pedestrian catchment area is suggested to be the most effective variable of network connectivity. The results of these scenarios can assist policy makers to identify zones that deserve more attention.

Suggested Citation

  • Berjisian, Elmira & Habibian, Meeghat, 2019. "Developing a pedestrian destination choice model using the stratified importance sampling method," Journal of Transport Geography, Elsevier, vol. 77(C), pages 39-47.
    • Handle: RePEc:eee:jotrge:v:77:y:2019:i:c:p:39-47
    DOI: 10.1016/j.jtrangeo.2019.04.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692316307098
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2019.04.009?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
    ---><---

    References listed on IDEAS

    as
    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Arthur (Yan) Huang & David Levinson, 2015. "Axis of travel: Modeling non-work destination choice with GPS data," Working Papers 000113, University of Minnesota: Nexus Research Group.
    3. Mavoa, Suzanne & Witten, Karen & McCreanor, Tim & O’Sullivan, David, 2012. "GIS based destination accessibility via public transit and walking in Auckland, New Zealand," Journal of Transport Geography, Elsevier, vol. 20(1), pages 15-22.
    4. Clifton, Kelly J. & Singleton, Patrick A. & Muhs, Christopher D. & Schneider, Robert J., 2016. "Development of destination choice models for pedestrian travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 255-265.
    5. Sergio Colombo & Nick Hanley & Javier Calatrava‐Requena, 2005. "Designing Policy for Reducing the Off‐farm Effects of Soil Erosion Using Choice Experiments," Journal of Agricultural Economics, Wiley Blackwell, vol. 56(1), pages 81-95, March.
    6. Millward, Hugh & Spinney, Jamie & Scott, Darren, 2013. "Active-transport walking behavior: destinations, durations, distances," Journal of Transport Geography, Elsevier, vol. 28(C), pages 101-110.
    7. Jeffrey Newman & Vincent Bernardin, 2010. "Hierarchical ordering of nests in a joint mode and destination choice model," Transportation, Springer, vol. 37(4), pages 677-688, July.
    8. Khan, Mobashwir & M. Kockelman, Kara & Xiong, Xiaoxia, 2014. "Models for anticipating non-motorized travel choices, and the role of the built environment," Transport Policy, Elsevier, vol. 35(C), pages 117-126.
    9. Clifton, Kelly J. & Singleton, Patrick A. & Muhs, Christopher D. & Schneider, Robert J., 2016. "Representing pedestrian activity in travel demand models: Framework and application," Journal of Transport Geography, Elsevier, vol. 52(C), pages 111-122.
    10. Lemp, Jason D. & Kockelman, Kara M., 2012. "Strategic sampling for large choice sets in estimation and application," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 602-613.
    11. Lundberg, Benjamin & Weber, Joe, 2014. "Non-motorized transport and university populations: an analysis of connectivity and network perceptions," Journal of Transport Geography, Elsevier, vol. 39(C), pages 165-178.
    12. Marc Schlossberg & Deb Johnson-Shelton & Cody Evers & Geraldine Moreno-Black, 2015. "Refining the grain: using resident-based walkability audits to better understand walkable urban form," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 8(3), pages 260-278, September.
    13. Pasquale A. Pellegrini & A. Stewart Fotheringham & Ge Lin, 1997. "An Empirical Evaluation Of Parameter Sensitivity To Choice Set Definition In Shopping Destination Choice Models," Papers in Regional Science, Wiley Blackwell, vol. 76(2), pages 257-284, April.
    14. Peiravian, Farideddin & Derrible, Sybil & Ijaz, Farukh, 2014. "Development and application of the Pedestrian Environment Index (PEI)," Journal of Transport Geography, Elsevier, vol. 39(C), pages 73-84.
    15. B.A. Sandalack & F.G. Alaniz Uribe & A. Eshghzadeh Zanjani & A. Shiell & G.R. McCormack & P.K. Doyle-Baker, 2013. "Neighbourhood type and walkshed size," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 6(3), pages 236-255, November.
    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. Clifton, Kelly J. & Singleton, Patrick A. & Muhs, Christopher D. & Schneider, Robert J., 2016. "Representing pedestrian activity in travel demand models: Framework and application," Journal of Transport Geography, Elsevier, vol. 52(C), pages 111-122.
    2. Zuo, Ting & Wei, Heng & Liu, Hao & Yang, Y. Jeffrey, 2019. "Bi-level optimization approach for configuring population and employment distributions with minimized vehicle travel demand," Journal of Transport Geography, Elsevier, vol. 74(C), pages 161-172.
    3. Clifton, Kelly J. & Singleton, Patrick A. & Muhs, Christopher D. & Schneider, Robert J., 2016. "Development of destination choice models for pedestrian travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 255-265.
    4. Bojing Liao & Pauline E. W. van den Berg & Pieter J. V. van Wesemael & Theo A. Arentze, 2020. "How Does Walkability Change Behavior? A Comparison between Different Age Groups in the Netherlands," IJERPH, MDPI, vol. 17(2), pages 1-14, January.
    5. Huang, Arthur & Levinson, David, 2017. "A model of two-destination choice in trip chains with GPS data," Journal of choice modelling, Elsevier, vol. 24(C), pages 51-62.
    6. Fernando Fonseca & Elisa Conticelli & George Papageorgiou & Paulo Ribeiro & Mona Jabbari & Simona Tondelli & Rui Ramos, 2021. "Levels and Characteristics of Utilitarian Walking in the Central Areas of the Cities of Bologna and Porto," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    7. Mona Jabbari & Fernando Fonseca & Rui Ramos, 2018. "Combining multi-criteria and space syntax analysis to assess a pedestrian network: the case of Oporto," Journal of Urban Design, Taylor & Francis Journals, vol. 23(1), pages 23-41, January.
    8. Umer Mansoor & Mohammad Tamim Kashifi & Fazal Rehman Safi & Syed Masiur Rahman, 2022. "A review of factors and benefits of non-motorized transport: a way forward for developing countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1560-1582, February.
    9. Keunhyun Park & Dong-Ah Choi & Guang Tian & Reid Ewing, 2019. "Not Parking Lots but Parks: A Joint Association of Parks and Transit Stations with Travel Behavior," IJERPH, MDPI, vol. 16(4), pages 1-9, February.
    10. Arellana, Julián & Saltarín, María & Larrañaga, Ana Margarita & González, Virginia I. & Henao, César Augusto, 2020. "Developing an urban bikeability index for different types of cyclists as a tool to prioritise bicycle infrastructure investments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 310-334.
    11. Nichols, Brice G. & Kockelman, Kara M., 2014. "Life-cycle energy implications of different residential settings: Recognizing buildings, travel, and public infrastructure," Energy Policy, Elsevier, vol. 68(C), pages 232-242.
    12. Qin Zhang & Rolf Moeckel & Kelly J. Clifton, 2024. "MoPeD meets MITO: a hybrid modeling framework for pedestrian travel demand," Transportation, Springer, vol. 51(4), pages 1327-1347, August.
    13. Senes, Giulio & Rovelli, Roberto & Bertoni, Danilo & Arata, Laura & Fumagalli, Natalia & Toccolini, Alessandro, 2017. "Factors influencing greenways use: Definition of a method for estimation in the Italian context," Journal of Transport Geography, Elsevier, vol. 65(C), pages 175-187.
    14. Tilahun, Nebiyou & Thakuriah, Piyushimita (Vonu) & Li, Moyin & Keita, Yaye, 2016. "Transit use and the work commute: Analyzing the role of last mile issues," Journal of Transport Geography, Elsevier, vol. 54(C), pages 359-368.
    15. H. M. Abdul Aziz & Nicholas N. Nagle & April M. Morton & Michael R. Hilliard & Devin A. White & Robert N. Stewart, 2018. "Exploring the impact of walk–bike infrastructure, safety perception, and built-environment on active transportation mode choice: a random parameter model using New York City commuter data," Transportation, Springer, vol. 45(5), pages 1207-1229, September.
    16. Ying Jing & Ding Ma & Yaolin Liu & Jiaxing Cui & Sheng Zhang & Yiyun Chen, 2021. "Decoding the Street-Based Spatiality of Urban Gyms: Implications for Healthy City Planning," Land, MDPI, vol. 10(2), pages 1-14, February.
    17. Ann, Hartell, 2015. "Contextualizing Location Affordability: Urban Sprawl and Foreclosure," SRE-Discussion Papers 2015/06, WU Vienna University of Economics and Business.
    18. Scott N Lieske & Ryan van den Nouwelant & Jung Hoon Han & Christopher Pettit, 2021. "A novel hedonic price modelling approach for estimating the impact of transportation infrastructure on property prices," Urban Studies, Urban Studies Journal Limited, vol. 58(1), pages 182-202, January.
    19. Pablo Alberto Sáinz-Ruiz & Javier Sanz-Valero & Vicente Gea-Caballero & Pedro Melo & Tam H. Nguyen & Juan Daniel Suárez-Máximo & José Ramón Martínez-Riera, 2021. "Dimensions of Community Assets for Health. A Systematised Review and Meta-Synthesis," IJERPH, MDPI, vol. 18(11), pages 1-20, May.
    20. Kevin Chan & Steven Farber, 2020. "Factors underlying the connections between active transportation and public transit at commuter rail in the Greater Toronto and Hamilton Area," Transportation, Springer, vol. 47(5), pages 2157-2178, October.

    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:jotrge:v:77:y:2019:i:c:p:39-47. 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: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.