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Representing pedestrian activity in travel demand models: Framework and application

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  • Clifton, Kelly J.
  • Singleton, Patrick A.
  • Muhs, Christopher D.
  • Schneider, Robert J.

Abstract

There have long been calls for better pedestrian planning tools within travel demand models, as they have been slow to incorporate the large body of research connecting the built environment and walking behaviors. Most regional travel demand forecasting performed in practice in the US uses four-step travel demand models, despite advances in the development and implementation of activity-based travel demand models. This paper introduces a framework that facilitates the abilities of four-step regional travel models to better represent walking activity, allowing metropolitan planning organizations (MPOs) to implement these advances with minimal changes to existing modeling systems. Specifically, the framework first changes the spatial unit from transportation analysis zones (TAZs) to a finer-grained geography better suited to modeling pedestrian trips. The MPO's existing trip generation models are applied at this spatial unit for all trips. Then, a walk mode choice model is used to identify the subset of all trips made by walking. Trips by other modes are aggregated to the TAZ level and proceed through the remaining steps in the MPO's four-step model. The walk trips are distributed to destinations using a choice modeling approach, thus identifying pedestrian trip origins and destinations. In this paper, a proof-of-concept application is included to demonstrate the framework in successful operation using data from the Portland, Oregon, region. Opportunities for future work include more research on the potential routes between origins and destinations for walk trips, application of the framework in another region, and developing ways the research could be implemented in activity-based modeling systems.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jotrge:v:52:y:2016:i:c:p:111-122
    DOI: 10.1016/j.jtrangeo.2016.03.009
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    References listed on IDEAS

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    3. 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.
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    5. 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.
    6. Andres Sevtsuk & Rounaq Basu & Bahij Chancey, 2021. "We shape our buildings, but do they then shape us? A longitudinal analysis of pedestrian flows and development activity in Melbourne," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-23, September.
    7. Prato, Carlo G. & Kaplan, Sigal & Patrier, Alexandre & Rasmussen, Thomas K., 2019. "Integrating police reports with geographic information system resources for uncovering patterns of pedestrian crashes in Denmark," Journal of Transport Geography, Elsevier, vol. 74(C), pages 10-23.
    8. Aurélie Mercier & Stéphanie Souche‐Le Corvec & Nicolas Ovtracht, 2021. "Measure of accessibility to postal services in France: A potential spatial accessibility approach applied in an urban region," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 227-249, February.
    9. Raoul S. Liévanos & Amy Lubitow & Julius Alexander McGee, 2019. "Misrecognition in a Sustainability Capital: Race, Representation, and Transportation Survey Response Rates in the Portland Metropolitan Area," Sustainability, MDPI, vol. 11(16), pages 1-33, August.
    10. Singleton, Patrick A. & Clifton, Kelly J., 2017. "Considering health in US metropolitan long-range transportation plans: A review of guidance statements and performance measures," Transport Policy, Elsevier, vol. 57(C), pages 79-89.
    11. 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.

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