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Intrazonal or interzonal? Improving intrazonal travel forecast in a four-step travel demand model

Author

Listed:
  • Keunhyun Park

    (Utah State University)

  • Sadegh Sabouri

    (University of Utah)

  • Torrey Lyons

    (University of Utah)

  • Guang Tian

    (University of New Orleans)

  • Reid Ewing

    (University of Utah)

Abstract

Conventional four-step travel demand models, used by most metropolitan planning organizations (MPOs), state departments of transportation, and local planning agencies, are the basis for long-range transportation planning in the United States. Trip distribution—whether the trip is intrazonal (internal) or interzonal (external)—is one of the essential steps in travel demand forecasting. However, the current intrazonal forecasts based on a gravity model involve flawed assumptions, primarily due to a lack of considerations on differences in zone size, land use, and street network patterns. In this study, we first survey 25 MPOs about how they model intrazonal travel and find the state of the practice to be dominated by the gravity model. Using travel data from 31 diverse regions in the U.S., we develop an approach to enhance the conventional model by including more built environment D variables and by using multilevel logistic regression. The models’ predictive capability is confirmed using k-fold cross-validation. The study results provide practical implications for state and local planning and transportation agencies with better accuracy and generalizability.

Suggested Citation

  • Keunhyun Park & Sadegh Sabouri & Torrey Lyons & Guang Tian & Reid Ewing, 2020. "Intrazonal or interzonal? Improving intrazonal travel forecast in a four-step travel demand model," Transportation, Springer, vol. 47(5), pages 2087-2108, October.
    • Handle: RePEc:kap:transp:v:47:y:2020:i:5:d:10.1007_s11116-019-10002-0
    DOI: 10.1007/s11116-019-10002-0
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    References listed on IDEAS

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    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. Hamilton, Bruce W, 1989. "Wasteful Commuting Again," Journal of Political Economy, University of Chicago Press, vol. 97(6), pages 1497-1504, December.
    3. Anas, Alex, 1985. "The combined equilibrium of travel networks and residential location markets," Regional Science and Urban Economics, Elsevier, vol. 15(1), pages 1-21, February.
    4. Borra, Simone & Di Ciaccio, Agostino, 2010. "Measuring the prediction error. A comparison of cross-validation, bootstrap and covariance penalty methods," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 2976-2989, December.
    5. Handy, Susan, 1993. "Regional Versus Local Accessibility: Implications for Nonwork Travel," University of California Transportation Center, Working Papers qt2z79q67d, University of California Transportation Center.
    6. Bhatta, Bharat P. & Larsen, Odd I., 2011. "Are intrazonal trips ignorable?," Transport Policy, Elsevier, vol. 18(1), pages 13-22, January.
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    Cited by:

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    3. Vitalii Naumov & Andrzej Szarata & Hanna Vasiutina, 2022. "Simulating a Macrosystem of Cargo Deliveries by Road Transport Based on Big Data Volumes: A Case Study of Poland," Energies, MDPI, vol. 15(14), pages 1-23, July.

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