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Exploring the effects of the built environment on commuting mode choice in neighborhoods near public transit stations: evidence from China

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Listed:
  • Xiaoquan Wang
  • Chunfu Shao
  • Chaoying Yin
  • Chunjiao Dong

Abstract

Public transport services are often improved to decrease auto-related mobility. However, it remains unclear how the built environment influences auto ownership and commuting mode choice near public transit stations. Using 3318 individuals across China, this study contributes to investigating the relationship between the built environment, auto ownership and commuting mode choice simultaneously in neighborhoods near public transit stations by employing an integration of a structural equation model (SEM) and discrete choice model (DCM). The results indicate that the built environment exhibits significant impacts on auto-related mobility near public transit stations and auto ownership plays an intermediary role between the exogenous variables and commuting mode choice, thus it can moderate the influences of built environment attributes on commuting mode choice. The results suggest that increasing green coverage rates and promoting diverse land use development strategies in transit-oriented development (TOD) areas may make contributions to auto-related mobility reduction and low-carbon travel initiatives.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:transp:v:44:y:2021:i:1:p:111-127
    DOI: 10.1080/03081060.2020.1851453
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    Citations

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    Cited by:

    1. Xiaoquan Wang & Weifeng Wang & Chaoying Yin, 2023. "Exploring the Relationships between Multilevel Built Environments and Commute Durations in Dual-Earner Households: Does Gender Matter?," IJERPH, MDPI, vol. 20(6), pages 1-17, March.
    2. 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).
    3. Chaoying Yin & Xiaoquan Wang & Chunfu Shao & Jianxiao Ma, 2022. "Exploring the Relationship between Built Environment and Commuting Mode Choice: Longitudinal Evidence from China," IJERPH, MDPI, vol. 19(21), pages 1-15, October.
    4. Xiang Li & Qipeng Yan & Yafeng Ma & Chen Luo, 2023. "Spatially Varying Impacts of Built Environment on Transfer Ridership of Metro and Bus Systems," Sustainability, MDPI, vol. 15(10), pages 1-24, May.
    5. Weiwei Liu & Jin Zhang & Liang Jin & Jieshuang Dong & Osama Alfarraj & Amr Tolba & Qian Wang & Yihao He, 2023. "Sustainable Low-Carbon Layout of Land around Rail Transit Stations Based on Multi-Modal Spatial Data," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    6. Chen Cao & Feng Zhen & Xianjin Huang, 2022. "How Does Perceived Neighborhood Environment Affect Commuting Mode Choice and Commuting CO 2 Emissions? An Empirical Study of Nanjing, China," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
    7. Yuxin Liu & Chenjing Fan & Dongdong Xue, 2024. "A Review of the Effects of Urban and Green Space Forms on the Carbon Budget Using a Landscape Sustainability Framework," Sustainability, MDPI, vol. 16(5), pages 1-29, February.
    8. Feng Ren & Jinbo Zhang & Xiuyun Yang, 2023. "Study on the Effect of Job Accessibility and Residential Location on Housing Occupancy Rate: A Case Study of Xiamen, China," Land, MDPI, vol. 12(4), pages 1-21, April.

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