IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i12p6547-d571156.html
   My bibliography  Save this article

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

Author

Listed:
  • Witsarut Achariyaviriya

    (Department of Constructional Engineering, Graduate School of Engineering, Chubu University, Kasugai 487-8501, Aichi, Japan)

  • Yoshitsugu Hayashi

    (Center for Sustainable Development and Global Smart City, Chubu University, Kasugai 487-8501, Aichi, Japan)

  • Hiroyuki Takeshita

    (Center for Sustainable Development and Global Smart City, Chubu University, Kasugai 487-8501, Aichi, Japan)

  • Masanobu Kii

    (Faculty of Engineering and Design, Kagawa University, Hayashi-cho 2217-20, Takamatsu, Japan)

  • Varameth Vichiensan

    (Department of Civil Engineering, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand)

  • Thanaruk Theeramunkong

    (Sirindhorn International Institute of Technology, School of Information, Computer, and Communication Technology, Thammasat University, Pathum Thani 12000, Thailand
    The Academy of Science, The Royal Society of Thailand, Sanam Suea Pa, Dusit, Bangkok 10300, Thailand)

Abstract

Many megacities in the world, especially Bangkok, are facing severe congestion in road traffic and public transport, particularly during peak hours. This situation (a) worsens the quality of life, (b) releases emissions causing air pollution and climate change, and (c) subsequently creates requests for massive investment in transport infrastructure, which easily exceed the budget’s limit. Instead of solving the problem by supply-side strategies, applying ICT-based solutions to reform people’s daily activities, particularly commuting and working behaviors, on the demand-side is an alternative solution. As a promising solution, Mobility as a Service (MaaS) introduces ICT to persuade people to use public modes of transport. However, modal shift is a partial solution to mitigate traffic congestion. With technological advancements in communication, people become more flexible in their activities in terms of place and time aspects. MaaS should not only induce a transport mode shift but also a workplace shift and working time shift by extending the planning service in daily activity-travel level, exploiting people’s flexibilities for an activity’s place and time to manage travel demand. This paper proposes the QOL-MaaS as the extended MaaS to support space–time shift of activity-travel and reveals its potential impacts on traffic congestion, quality of life, and CO 2 emission.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6547-:d:571156
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/12/6547/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/12/6547/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. van den Bergh, J.C.J.M. & Botzen, W.J.W., 2015. "Monetary valuation of the social cost of CO2 emissions: A critical survey," Ecological Economics, Elsevier, vol. 114(C), pages 33-46.
    2. Zhang, Junyi & Hayashi, Yoshitsugu & Frank, Lawrence D., 2021. "COVID-19 and transport: Findings from a world-wide expert survey," Transport Policy, Elsevier, vol. 103(C), pages 68-85.
    3. Masanobu Kii, 2020. "Reductions in CO 2 Emissions from Passenger Cars under Demography and Technology Scenarios in Japan by 2050," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
    4. Chih-Peng Chu & Jyh-Fa Tsai, 2004. "Road Pricing models with maintenance cost," Transportation, Springer, vol. 31(4), pages 457-477, November.
    5. Joaquina Lever, 2000. "The Development of an Instrument to Measure Quality of Life in Mexico City," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 50(2), pages 187-208, May.
    6. Mulley, Corinne & Nelson, John D. & Wright, Steve, 2018. "Community transport meets mobility as a service: On the road to a new a flexible future," Research in Transportation Economics, Elsevier, vol. 69(C), pages 583-591.
    7. Fumei Gu & Yoshitsugu Hayashi & Fei Shi & Hao Zhang & Hirokazu Kato, 2016. "Measuring and mapping the spatial distribution of the quality of life in a city: a case study in Nanjing," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 20(1), pages 107-128, March.
    8. Timo von Wirth & Adrienne Grêt-Regamey & Michael Stauffacher, 2015. "Mediating Effects Between Objective and Subjective Indicators of Urban Quality of Life: Testing Specific Models for Safety and Access," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(1), pages 189-210, May.
    9. -, 2020. "Education in the time of COVID-19," Coediciones, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 45905 edited by Eclac.
    10. repec:ecr:col016:45905 is not listed on IDEAS
    11. Sedigheh Lotfi & M. Koohsari, 2009. "Analyzing Accessibility Dimension of Urban Quality of Life: Where Urban Designers Face Duality Between Subjective and Objective Reading of Place," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(3), pages 417-435, December.
    12. Kim, Jinwon, 2019. "Estimating the social cost of congestion using the bottleneck model," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    13. David Charypar & Kai Nagel, 2005. "Generating complete all-day activity plans with genetic algorithms," Transportation, Springer, vol. 32(4), pages 369-397, July.
    14. Wardman, Mark & Chintakayala, V. Phani K. & de Jong, Gerard, 2016. "Values of travel time in Europe: Review and meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 93-111.
    15. Xiao Fu & William H. K. Lam, 2018. "Modelling joint activity-travel pattern scheduling problem in multi-modal transit networks," Transportation, Springer, vol. 45(1), pages 23-49, January.
    16. Dominik Grether & Yu Chen & Marcel Rieser & Kai Nagel, 2009. "Effects of a Simple Mode Choice Model in a Large-Scale Agent-Based Transport Simulation," Advances in Spatial Science, in: Aura Reggiani & Peter Nijkamp (ed.), Complexity and Spatial Networks, chapter 0, pages 167-186, Springer.
    17. Liu, Peng & Liao, Feixiong & Huang, Hai-Jun & Timmermans, Harry, 2015. "Dynamic activity-travel assignment in multi-state supernetworks," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 656-671.
    18. 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.
    19. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Varameth Vichiensan & Yoshitsugu Hayashi & Sudarat Kamnerdsap, 2021. "COVID-19 Countermeasures and Passengers’ Confidence of Urban Rail Travel in Bangkok," Sustainability, MDPI, vol. 13(16), pages 1-22, August.
    2. 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.
    3. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kriswardhana, Willy & Esztergár-Kiss, Domokos, 2025. "The role of intermodality and environmental consciousness in the preferences for MaaS bundles: A hybrid choice modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 191(C).
    2. Tscharaktschiew, Stefan & Reimann, Felix, 2021. "On employer-paid parking and parking (cash-out) policy: A formal synthesis of different perspectives," Transport Policy, Elsevier, vol. 110(C), pages 499-516.
    3. Gunnar Flötteröd & Yu Chen & Kai Nagel, 2012. "Behavioral Calibration and Analysis of a Large-Scale Travel Microsimulation," Networks and Spatial Economics, Springer, vol. 12(4), pages 481-502, December.
    4. Li, Qing & Liao, Feixiong & Xu, Wei & Huang, Hai-Jun, 2025. "Fleet sizing and pricing for hybrid ownership of shared autonomous vehicles in a multimodal transportation system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 193(C).
    5. 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).
    6. Lopez-Carreiro, Iria & Monzon, Andres & Lopez, Elena & Lopez-Lambas, Maria Eugenia, 2020. "Urban mobility in the digital era: An exploration of travellers' expectations of MaaS mobile-technologies," Technology in Society, Elsevier, vol. 63(C).
    7. Vo, Khoa D. & Lam, William H.K. & Chen, Anthony & Shao, Hu, 2020. "A household optimum utility approach for modeling joint activity-travel choices in congested road networks," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 93-125.
    8. Fu, Xiao & Wu, Youqi & Huang, Di & Wu, Jianjun, 2022. "An activity-based model for transit network design and activity location planning in a three-party game framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    9. 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.
    10. Iria Lopez-Carreiro & Andres Monzon & Elena Lopez, 2023. "MaaS Implications in the Smart City: A Multi-Stakeholder Approach," Sustainability, MDPI, vol. 15(14), pages 1-27, July.
    11. Caiati, Valeria & Rasouli, Soora & Timmermans, Harry, 2020. "Bundling, pricing schemes and extra features preferences for mobility as a service: Sequential portfolio choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 123-148.
    12. Kim, Eui-Jin & Kim, Youngseo & Jang, Sunghoon & Kim, Dong-Kyu, 2021. "Tourists’ preference on the combination of travel modes under Mobility-as-a-Service environment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 236-255.
    13. Dadashzadeh, Nima & Woods, Lee & Ouelhadj, Djamila & Thomopoulos, Nikolas & Kamargianni, Maria & Antoniou, Constantinos, 2022. "Mobility as a Service Inclusion Index (MaaSINI): Evaluation of inclusivity in MaaS systems and policy recommendations," Transport Policy, Elsevier, vol. 127(C), pages 191-202.
    14. Wright, Steve & Nelson, John D. & Cottrill, Caitlin D, 2020. "MaaS for the suburban market: Incorporating carpooling in the mix," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 206-218.
    15. Wang, Yineng & Lin, Xi & He, Fang & Li, Meng, 2022. "Designing transit-oriented multi-modal transportation systems considering travelers’ choices," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 292-327.
    16. Carrel, Andre L. & Mavrouli, Stavroula M. & Natarajan, Priyamvada R. & Tarabay, Rana & Broaddus, Andrea, 2024. "Greening the commute: A case study of demand for employer-sponsored microtransit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
    17. Smith, Göran & Sochor, Jana & Karlsson, I.C. MariAnne, 2020. "Intermediary MaaS Integrators: A case study on hopes and fears," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 163-177.
    18. Tang, Justin Hayse Chiwing G. & Liu, Junbei & Chen, Anthony & Wang, Bobin & Zhuge, Chengxiang & Yang, Xiong, 2025. "Exploring the potential adoption of Mobility-as-a-Service in Beijing: A spatial agent-based model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 194(C).
    19. Polydoropoulou, Amalia & Pagoni, Ioanna & Tsirimpa, Athena & Roumboutsos, Athena & Kamargianni, Maria & Tsouros, Ioannis, 2020. "Prototype business models for Mobility-as-a-Service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 149-162.
    20. Sujae Kim & Sangho Choo & Sungtaek Choi & Hyangsook Lee, 2021. "What Factors Affect Commuters’ Utility of Choosing Mobility as a Service? An Empirical Evidence from Seoul," Sustainability, MDPI, vol. 13(16), pages 1-15, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6547-:d:571156. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.