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Effects of land-use transport scenarios on travel patterns: a multi-state supernetwork application

Author

Listed:
  • Feixiong Liao

    (Eindhoven University of Technology)

  • Theo Arentze

    (Eindhoven University of Technology)

  • Eric Molin

    (Delft University of Technology)

  • Wendy Bothe

    (Delft University of Technology)

  • Harry Timmermans

    (Eindhoven University of Technology)

Abstract

Understanding travellers’ response is essential to address policy questions arising from spatial and transport planning sectors. This paper demonstrates the usefulness of the multi-state supernetwork approach to investigate the effects of land-use transport scenarios on individuals’ travel patterns. In particular, it illustrates that multi-state supernetworks are capable of representing activity-travel patterns at a high level of detail, including the choice of mode, route, parking and activity location. Multi-faceted activity-travel preferences can be accommodated in supernetworks. Using a micro-simulation approach, the adaptation of individuals’ travel patterns to policies can be readily captured. The illustration concerns hypothetical land-use and transport scenarios for the city of Rotterdam (The Netherlands), focusing on accessibility changes, modal substitution and shift in the use of transport and location facilities.

Suggested Citation

  • Feixiong Liao & Theo Arentze & Eric Molin & Wendy Bothe & Harry Timmermans, 2017. "Effects of land-use transport scenarios on travel patterns: a multi-state supernetwork application," Transportation, Springer, vol. 44(1), pages 1-25, January.
    • Handle: RePEc:kap:transp:v:44:y:2017:i:1:d:10.1007_s11116-015-9616-z
    DOI: 10.1007/s11116-015-9616-z
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    References listed on IDEAS

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    Cited by:

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    3. Feixiong Liao, 2019. "Joint travel problem in space–time multi-state supernetworks," Transportation, Springer, vol. 46(4), pages 1319-1343, August.
    4. Wang, Dong & Liao, Feixiong & Gao, Ziyou & Rasouli, Soora & Huang, Hai-Jun, 2020. "Tolerance-based column generation for boundedly rational dynamic activity-travel assignment in large-scale networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    5. Liu, Peng & Liao, Feixiong & Tian, Qiong & Huang, Hai-Jun & Timmermans, Harry, 2020. "Day-to-day needs-based activity-travel dynamics and equilibria in multi-state supernetworks," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 208-227.
    6. Liao, Feixiong & Tian, Qiong & Arentze, Theo & Huang, Hai-Jun & Timmermans, Harry J.P., 2020. "Travel preferences of multimodal transport systems in emerging markets: The case of Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 250-266.
    7. Yang, Songpo & Liao, Feixiong & Wu, Jianjun & Timmermans, Harry J.P. & Sun, Huijun & Gao, Ziyou, 2020. "A bi-objective timetable optimization model incorporating energy allocation and passenger assignment in an energy-regenerative metro system," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 85-113.

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