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Methodological Options and Data Sources for the Development of Long-Distance Passenger Travel Demand Models: A Comprehensive Review

Author

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  • Lei Zhang
  • Frank Southworth
  • Chenfeng Xiong
  • Anthon Sonnenberg

Abstract

Since the passage of the Intermodal Surface Transportation Efficiency Act in 1991, a significant number of state highway agencies have started to develop and implement statewide travel demand models to meet policy and legislative development needs. Currently, however, a lack of up-to-date multimodal and inter-regional passenger travel data hampers analysts’ ability to conduct quantitative assessments of long-distance travel infrastructure investment needs, at both the national and statewide levels. Despite these data limitations, but also largely shaped by them, long-distance travel modelling has become an increasingly popular topic in recent years. This paper reviews several methodologies for multimodal inter-regional travel demand estimation, drawing examples from both state-specific modelling within the USA and from fully national models being developed and applied in other parts of the world, notably in Europe.

Suggested Citation

  • Lei Zhang & Frank Southworth & Chenfeng Xiong & Anthon Sonnenberg, 2012. "Methodological Options and Data Sources for the Development of Long-Distance Passenger Travel Demand Models: A Comprehensive Review," Transport Reviews, Taylor & Francis Journals, vol. 32(4), pages 399-433, April.
    • Handle: RePEc:taf:transr:v:32:y:2012:i:4:p:399-433
    DOI: 10.1080/01441647.2012.688174
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    Cited by:

    1. Konrad Steiner & Stefan Irnich, 2018. "Schedule-Based Integrated Intercity Bus Line Planning via Branch-and-Cut," Transportation Science, INFORMS, vol. 52(4), pages 882-897, August.
    2. Yijing Lu & Lei Zhang, 2015. "Imputing trip purposes for long-distance travel," Transportation, Springer, vol. 42(4), pages 581-595, July.
    3. Xiaomei Lin & Yusak O. Susilo & Chunfu Shao & Chengxi Liu, 2018. "The Implication of Road Toll Discount for Mode Choice: Intercity Travel during the Chinese Spring Festival Holiday," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    4. Dowds, Jonathan & Harvey, Chester & LaMondia, Jeff & Howerter, Sarah & Ullman, Hannah & Aultman-Hall, Lisa, 2018. "Advancing Understanding of Long-Distance and Intercity Travel with Diverse Data Sources," Institute of Transportation Studies, Working Paper Series qt1cf2j4zk, Institute of Transportation Studies, UC Davis.
    5. Konrad Steiner & Stefan Irnich, 2016. "Schedule-based integrated inter-city bus line planning via branch-and-cut," Working Papers 1608, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    6. Thompson, C.A. & Saxberg, K. & Lega, J. & Tong, D. & Brown, H.E., 2019. "A cumulative gravity model for inter-urban spatial interaction at different scales," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    7. Mattson, Jeremy & Hough, Jill & Varma, Amiy, 2018. "Estimating demand for rural intercity bus services," Research in Transportation Economics, Elsevier, vol. 71(C), pages 68-75.

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