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Built environment influences commute mode choice in a global south megacity context: Insights from explainable machine learning approach

Author

Listed:
  • Ashik, F.R.
  • Sreezon, A.I.Z.
  • Rahman, M.H.
  • Zafri, N.M.
  • Labib, S.M.

Abstract

In this study, we aimed to investigate the influence of the built environment (BE) on commuter mode choice using machine learning models in a dense megacity context. We collected 10,150 home-based commuting trips data from Dhaka, Bangladesh. We then utilized three machine learning classifiers to determine the most accurate prediction model for predicting the mode of transportation chosen for commuting in Dhaka. Based on the predictive performance of the classifiers, we identified that the Random Forest (RF) algorithm performed the best. Using the RF model, this study also explored the relative importance of BE factors in predicting commute mode choice, identified nonlinear relationships between the BE factors and mode choice, and examined the interaction effects of these factors on mode selection. Our results reveal that, compared to socio-demographic factors, the BE substantially influence commuter travel behavior. The BE characteristics have a specific nonlinear threshold limit at which they can have a notable impact on lowering private car use, and private car use does not display a constant return of scale with BE. Their interaction effects illustrate the potential optimal combination of BE interventions to lower private car use for commuting. These findings hold substantial implications for urban environmental policy, emphasizing the need for transit-oriented development, travel demand management, and integrated land-use transportation planning to foster low-carbon transportation systems in cities like Dhaka.

Suggested Citation

  • Ashik, F.R. & Sreezon, A.I.Z. & Rahman, M.H. & Zafri, N.M. & Labib, S.M., 2024. "Built environment influences commute mode choice in a global south megacity context: Insights from explainable machine learning approach," Journal of Transport Geography, Elsevier, vol. 116(C).
  • Handle: RePEc:eee:jotrge:v:116:y:2024:i:c:s0966692324000371
    DOI: 10.1016/j.jtrangeo.2024.103828
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    References listed on IDEAS

    as
    1. Cynthia Chen & Hongmian Gong & Robert Paaswell, 2008. "Role of the built environment on mode choice decisions: additional evidence on the impact of density," Transportation, Springer, vol. 35(3), pages 285-299, May.
    2. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    3. Thi Mai Chi Nguyen & Hironori Kato & Le Binh Phan, 2020. "Is Built Environment Associated with Travel Mode Choice in Developing Cities? Evidence from Hanoi," Sustainability, MDPI, vol. 12(14), pages 1-16, July.
    4. Anil NP Koushik & M. Manoj & N. Nezamuddin, 2020. "Machine learning applications in activity-travel behaviour research: a review," Transport Reviews, Taylor & Francis Journals, vol. 40(3), pages 288-311, May.
    5. Yuanqing Wang & Liu Yang & Sunsheng Han & Chao Li & T. V. Ramachandra, 2017. "Urban CO2 emissions in Xi’an and Bangalore by commuters: implications for controlling urban transportation carbon dioxide emissions in developing countries," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(7), pages 993-1019, October.
    6. Md. Kamruzzaman & Simon Washington & Douglas Baker & Wendy Brown & Billie Giles-Corti & Gavin Turrell, 2016. "Built environment impacts on walking for transport in Brisbane, Australia," Transportation, Springer, vol. 43(1), pages 53-77, January.
    7. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    8. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2014. "Advance transit oriented development typology: case study in Brisbane, Australia," Journal of Transport Geography, Elsevier, vol. 34(C), pages 54-70.
    9. Mark R. Stevens, 2017. "Response to Commentaries on “Does Compact Development Make People Drive Less?”," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(2), pages 151-158, April.
    10. Etminani-Ghasrodashti, Roya & Ardeshiri, Mahyar, 2016. "The impacts of built environment on home-based work and non-work trips: An empirical study from Iran," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 196-207.
    11. Ettema, Dick & Nieuwenhuis, Roy, 2017. "Residential self-selection and travel behaviour: What are the effects of attitudes, reasons for location choice and the built environment?," Journal of Transport Geography, Elsevier, vol. 59(C), pages 146-155.
    12. Haroldo V. Ribeiro & Diego Rybski & Jürgen P. Kropp, 2019. "Effects of changing population or density on urban carbon dioxide emissions," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    13. Islam, Md Rabiul & Saphores, Jean-Daniel M., 2022. "An L.A. story: The impact of housing costs on commuting," Journal of Transport Geography, Elsevier, vol. 98(C).
    14. Xiaodong Guan & Donggen Wang & Xinyu Jason Cao, 2020. "The role of residential self-selection in land use-travel research: a review of recent findings," Transport Reviews, Taylor & Francis Journals, vol. 40(3), pages 267-287, May.
    15. Mohammed Ziaul Haider & Rabeya Sultana Papri, 2021. "Cost of traffic congestion in Dhaka Metropolitan City," Public Transport, Springer, vol. 13(2), pages 287-299, June.
    16. Li, Yigang & Yao, Enjian & Liu, Shasha & Yang, Yang, 2024. "Spatiotemporal influence of built environment on intercity commuting trips considering nonlinear effects," Journal of Transport Geography, Elsevier, vol. 114(C).
    17. Aston, Laura & Currie, Graham & Kamruzzaman, Md. & Delbosc, Alexa & Teller, David, 2020. "Study design impacts on built environment and transit use research," Journal of Transport Geography, Elsevier, vol. 82(C).
    18. Ding, Chuan & Cao, Xinyu & Wang, Yunpeng, 2018. "Synergistic effects of the built environment and commuting programs on commute mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 104-118.
    19. 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.
    20. Susan Handy, 2017. "Thoughts on the Meaning of Mark Stevens’s Meta-Analysis," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(1), pages 26-28, January.
    21. Ding, Chuan & Cao, Xinyu, 2019. "How does the built environment at residential and work locations affect car ownership? An application of cross-classified multilevel model," Journal of Transport Geography, Elsevier, vol. 75(C), pages 37-45.
    22. Phani Kumar, P. & Ravi Sekhar, Ch. & Parida, Manoranjan, 2018. "Residential dissonance in TOD neighborhoods," Journal of Transport Geography, Elsevier, vol. 72(C), pages 166-177.
    23. Ding, Chuan & Cao, Xinyu & Yu, Bin & Ju, Yang, 2021. "Non-linear associations between zonal built environment attributes and transit commuting mode choice accounting for spatial heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 22-35.
    24. Tran, Minh Tu & Zhang, Junyi & Chikaraishi, Makoto & Fujiwara, Akimasa, 2016. "A joint analysis of residential location, work location and commuting mode choices in Hanoi, Vietnam," Journal of Transport Geography, Elsevier, vol. 54(C), pages 181-193.
    25. Mark R. Stevens, 2017. "Does Compact Development Make People Drive Less?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(1), pages 7-18, January.
    26. Daniel W. Apley & Jingyu Zhu, 2020. "Visualizing the effects of predictor variables in black box supervised learning models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(4), pages 1059-1086, September.
    27. Hillel, Tim & Bierlaire, Michel & Elshafie, Mohammed Z.E.B. & Jin, Ying, 2021. "A systematic review of machine learning classification methodologies for modelling passenger mode choice," Journal of choice modelling, Elsevier, vol. 38(C).
    28. Ding, Chuan & Cao, Xinyu (Jason) & Næss, Petter, 2018. "Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 107-117.
    29. Xiaoquan Wang & Chunfu Shao & Chaoying Yin & Chunjiao Dong, 2021. "Exploring the effects of the built environment on commuting mode choice in neighborhoods near public transit stations: evidence from China," Transportation Planning and Technology, Taylor & Francis Journals, vol. 44(1), pages 111-127, January.
    30. Md. Kamruzzaman & Simon Washington & Douglas Baker & Wendy Brown & Billie Giles-Corti & Gavin Turrell, 2016. "Built environment impacts on walking for transport in Brisbane, Australia," Transportation, Springer, vol. 43(1), pages 53-77, January.
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