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Assessment of Spatiotemporal Peak Shift of Intra-Urban Transportation Taking a Case in Bangkok, Thailand

Author

Listed:
  • Masanobu Kii

    (Faculty of Engineering and Design, Kagawa University, Takamatsu 761-0396, Japan)

  • Yuki Goda

    (Faculty of Engineering and Design, Kagawa University, Takamatsu 761-0396, Japan)

  • Varameth Vichiensan

    (Center for Logistics Engineering Technology and Management, Department of Civil Engineering, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand)

  • Hiroyuki Miyazaki

    (Center for Spatial Information Science, The University of Tokyo, Tokyo 277-8568, Japan)

  • Rolf Moeckel

    (Department of Civil, Geo and Environmental Engineering, Technical University of Munich, 80333 Munich, Germany)

Abstract

Reducing congestion has been one of the critical targets of transportation policies, particularly in cities in developing countries suffering severe and chronic traffic congestions. Several traditional measures have been in place but seem not very successful. This paper applies the agent-based transportation model MATSim for a transportation analysis in Bangkok to assess the impact of spatiotemporal transportation demand management measures. We collect required data for the simulation from various data sources and apply maximum likelihood estimation with the limited data available. We investigate two demand management scenarios, peak time shift, and decentralization. As a result, we found that these spatiotemporal peak shift measures are effective for road transport to alleviate congestion and reduce travel time. However, the effect of those measures on public transport is not uniform but depends on the users’ circumstances. On average, the simulated results indicate that those measures increase the average travel time and distance. These results suggest that demand management policies require considerations of more detailed conditions to improve usability. The study also confirms that microsimulation can be a tool for transport demand management assessment in developing countries.

Suggested Citation

  • Masanobu Kii & Yuki Goda & Varameth Vichiensan & Hiroyuki Miyazaki & Rolf Moeckel, 2021. "Assessment of Spatiotemporal Peak Shift of Intra-Urban Transportation Taking a Case in Bangkok, Thailand," Sustainability, MDPI, vol. 13(12), pages 1-16, June.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6777-:d:575437
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    References listed on IDEAS

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    1. Kii, Masanobu & Nakanishi, Hitomi & Nakamura, Kazuki & Doi, Kenji, 2016. "Transportation and spatial development: An overview and a future direction," Transport Policy, Elsevier, vol. 49(C), pages 148-158.
    2. Dissanayake, Dilum & Morikawa, Takayuki, 2008. "Impact assessment of satellite centre-based telecommuting on travel and air quality in developing countries by exploring the link between travel behaviour and urban form," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(6), pages 883-894, July.
    3. Phattarasuda Witchayaphong & Surachet Pravinvongvuth & Kunnawee Kanitpong & Kazushi Sano & Suksun Horpibulsuk, 2020. "Influential Factors Affecting Travelers’ Mode Choice Behavior on Mass Transit in Bangkok, Thailand," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
    4. Witsarut Achariyaviriya & Yoshitsugu Hayashi & Hiroyuki Takeshita & Masanobu Kii & Varameth Vichiensan & Thanaruk Theeramunkong, 2021. "Can Space–Time Shifting of Activities and Travels Mitigate Hyper-Congestion in an Emerging Megacity, Bangkok? Effects on Quality of Life and CO 2 Emission," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    5. Jan K. Brueckner, 2000. "Urban Sprawl: Diagnosis and Remedies," International Regional Science Review, , vol. 23(2), pages 160-171, April.
    6. Altieri, Marcelo & Silva, Cecília & Terabe, Shintaro, 2020. "Give public transit a chance: A comparative analysis of competitive travel time in public transit modal share," Journal of Transport Geography, Elsevier, vol. 87(C).
    7. Apantri Peungnumsai & Hiroyuki Miyazaki & Apichon Witayangkurn & Sohee Minsun Kim, 2020. "A Grid-Based Spatial Analysis for Detecting Supply–Demand Gaps of Public Transports: A Case Study of the Bangkok Metropolitan Region," Sustainability, MDPI, vol. 12(24), pages 1-27, December.
    8. Christiansen, Petter & Engebretsen, Øystein & Fearnley, Nils & Usterud Hanssen, Jan, 2017. "Parking facilities and the built environment: Impacts on travel behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 198-206.
    9. Patterson, Zachary & Kryvobokov, Marko & Marchal, Fabrice & Bierlaire, Michel, 2010. "Disaggregate models with aggregate data: Two UrbanSim applications," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(2), pages 5-37.
    10. Capurso, Mauro & Hess, Stephane & Dekker, Thijs, 2019. "Modelling the role of consideration of alternatives in mode choice: An application on the Rome-Milan corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 170-184.
    11. Milne, Dave & Watling, David, 2019. "Big data and understanding change in the context of planning transport systems," Journal of Transport Geography, Elsevier, vol. 76(C), pages 235-244.
    12. Carlos Llorca & Cat Silva & Nico Kuehnel & Ana T. Moreno & Qin Zhang & Masanobu Kii & Rolf Moeckel, 2020. "Integration of Land Use and Transport to Reach Sustainable Development Goals: Will Radical Scenarios Actually Get Us There?," Sustainability, MDPI, vol. 12(23), pages 1-19, November.
    13. Ahmad, Sohail & Puppim de Oliveira, Jose A., 2016. "Determinants of urban mobility in India: Lessons for promoting sustainable and inclusive urban transportation in developing countries," Transport Policy, Elsevier, vol. 50(C), pages 106-114.
    14. Peraphan Jittrapirom & Valeria Caiati & Anna-Maria Feneri & Shima Ebrahimigharehbaghi & María J. Alonso González & Jishnu Narayan, 2017. "Mobility as a Service: A Critical Review of Definitions, Assessments of Schemes, and Key Challenges," Urban Planning, Cogitatio Press, vol. 2(2), pages 13-25.
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    1. Masanobu Kii & Varameth Vichiensan & Carlos Llorca & Ana Moreno & Rolf Moeckel & Yoshitsugu Hayashi, 2021. "Impact of Decentralization and Rail Network Extension on Future Traffic in the Bangkok Metropolitan Region," Sustainability, MDPI, vol. 13(23), pages 1-24, November.

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