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Developing an activity-based trip generation model for small/medium size planning agencies

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  • Mohammad M. Molla
  • Matthew L. Stone
  • Diomo Motuba

Abstract

The primary shortcoming of traditional four-step models is that they cannot capture derived travel demand behaviors. However, travel demand modeling (TDM) is an essential input for urban transportation planning. TDM needs to be highly precise and accurate by integrating the accurate base year estimation along with suitable alternatives. Currently, activity-based models (ABMs) have been developed mostly for large metropolitan planning organizations (MPO), whereas smaller/medium-sized MPOs typically lack these models. The main reason for this disparity in ABM development is the complexity of the models and the cost and data requirements needed. We posit however that smaller MPOs could develop ABMs from traditional travel surveys. Therefore, the specific aim of this paper is to develop a probabilistic home-based destination activity trip generation model considering travel time behavior. Results show that the developed model can significantly capture the actual number of trip generations.

Suggested Citation

  • Mohammad M. Molla & Matthew L. Stone & Diomo Motuba, 2017. "Developing an activity-based trip generation model for small/medium size planning agencies," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(5), pages 540-555, July.
    • Handle: RePEc:taf:transp:v:40:y:2017:i:5:p:540-555
    DOI: 10.1080/03081060.2017.1314505
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    Cited by:

    1. Kristoffersson, Ida & Berglund, Svante & Algers, Staffan, 2019. "Estimation of large-scale tour generation model taking travellers' daily tour pattern into account," Papers 2019:3, Research Programme in Transport Economics.

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