IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i13p9888-d1176121.html
   My bibliography  Save this article

Association of the Built Environment with Residents’ Car Dependence: Evidence from Shenzhen, China

Author

Listed:
  • Jie Jiang

    (Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China
    Tongji University Urban Mobility Institution, Tongji University, Shanghai 200082, China
    Shenzhen Urban Transport Planning Center Co., Ltd., Shenzhen 518000, China)

  • Jiaorong Wu

    (Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China
    Tongji University Urban Mobility Institution, Tongji University, Shanghai 200082, China)

  • Xiaochun Zhang

    (Shenzhen Urban Transport Planning Center Co., Ltd., Shenzhen 518000, China)

  • Maopeng Sun

    (Shenzhen Urban Transport Planning Center Co., Ltd., Shenzhen 518000, China)

  • Shu Chen

    (Shenzhen Urban Transport Planning Center Co., Ltd., Shenzhen 518000, China)

Abstract

Reducing car dependence is the key to achieving the goal of green and sustainable development. Compared with the existing studies, which mainly focus on administrative areas, this study takes residential areas as the research unit. Four spatial regression models were used to investigate the effect on car dependence of six factors of the built environment (land use mix, population density, jobs–housing balance, bus stop density, metro station density, and road network density). Various test results show that the geography-weighted regression (GWR) model has more substantial explanatory power and that the estimated coefficients of built environment characteristics vary positively or negatively in diverse residential communities. The findings demonstrate that the impact of built environment characteristics on car dependence is significantly spatially heterogeneous. These results are conducive to better comprehending how built environment factors affect car dependence and help establish policies and strategies to promote sustainable transportation.

Suggested Citation

  • Jie Jiang & Jiaorong Wu & Xiaochun Zhang & Maopeng Sun & Shu Chen, 2023. "Association of the Built Environment with Residents’ Car Dependence: Evidence from Shenzhen, China," Sustainability, MDPI, vol. 15(13), pages 1-13, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:9888-:d:1176121
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/13/9888/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/13/9888/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Xiaoquan & Yin, Chaoying & Zhang, Junyi & Shao, Chunfu & Wang, Shengyou, 2021. "Nonlinear effects of residential and workplace built environment on car dependence," Journal of Transport Geography, Elsevier, vol. 96(C).
    2. Yang, Wenyue & Chen, Bi Yu & Cao, Xiaoshu & Li, Tao & Li, Peng, 2017. "The spatial characteristics and influencing factors of modal accessibility gaps: A case study for Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 60(C), pages 21-32.
    3. François Sprumont & Ariane Scheffer & Geoffrey Caruso & Eric Cornelis & Francesco Viti, 2022. "Quantifying the Relation between Activity Pattern Complexity and Car Use Using a Partial Least Square Structural Equation Model," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    4. Chaoying Yin & Chunfu Shao & Xiaoquan Wang, 2018. "Built Environment and Parking Availability: Impacts on Car Ownership and Use," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    5. Zhao, Pengjun & Bai, Yu, 2019. "The gap between and determinants of growth in car ownership in urban and rural areas of China: A longitudinal data case study," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    Full references (including those not matched with items on IDEAS)

    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. Wang, Xiaoquan & Yin, Chaoying & Zhang, Junyi & Shao, Chunfu & Wang, Shengyou, 2021. "Nonlinear effects of residential and workplace built environment on car dependence," Journal of Transport Geography, Elsevier, vol. 96(C).
    2. 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.
    3. Te Ma & Mahdi Aghaabbasi & Mujahid Ali & Rosilawati Zainol & Amin Jan & Abdeliazim Mustafa Mohamed & Abdullah Mohamed, 2022. "Nonlinear Relationships between Vehicle Ownership and Household Travel Characteristics and Built Environment Attributes in the US Using the XGBT Algorithm," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    4. Ying Ni & Jiaqi Chen, 2020. "Exploring the Effects of the Built Environment on Two Transfer Modes for Metros: Dockless Bike Sharing and Taxis," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    5. Yang, Hongtai & Zhai, Guocong & Liu, Xiaohan & Yang, Linchuan & Liu, Yugang & Yuan, Quan, 2022. "Determinants of city-level private car ownership: Effect of vehicle regulation policies and the relative price," Transport Policy, Elsevier, vol. 115(C), pages 40-48.
    6. Chiu, Bing-yu, 2023. "Relationship between motorcycle travel and the built environment: Evidence from Taipei, Taiwan," Journal of Transport Geography, Elsevier, vol. 110(C).
    7. Laviolette, Jérôme & Morency, Catherine & Waygood, E.O.D., 2022. "A kilometer or a mile? Does buffer size matter when it comes to car ownership?," Journal of Transport Geography, Elsevier, vol. 104(C).
    8. Zhang, Guozheng & Wang, Dianhai & Cai, Zhengyi & Zeng, Jiaqi, 2024. "Competitiveness of public transit considering travel time reliability: A case study for commuter trips in Hangzhou, China," Journal of Transport Geography, Elsevier, vol. 114(C).
    9. Li, Tao & Rong, Lili & Yan, Kesheng, 2019. "Vulnerability analysis and critical area identification of public transport system: A case of high-speed rail and air transport coupling system in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 55-70.
    10. Maharjan, Sanju & Tilahun, Nebiyou & Ermagun, Alireza, 2022. "Spatial equity of modal access gap to multiple destination types across Chicago," Journal of Transport Geography, Elsevier, vol. 104(C).
    11. Wan, Zhengyue & Titheridge, Helena, 2024. "Socially sustainable transport in the context of different-sized cities in China:Conceptualisation and operationalisation of equity," Journal of Transport Geography, Elsevier, vol. 115(C).
    12. Li, Wu & Guan, Haotian & Qin, Wenwen & Ji, Xiaofeng, 2023. "Collective and individual spatial equity measure in public transit accessibility based on generalized travel cost," Research in Transportation Economics, Elsevier, vol. 98(C).
    13. Sijing Liu & Jiuping Xu & Xiaoyuan Shi & Guoqi Li & Dinglong Liu, 2018. "Sustainable Distribution Organization Based on the Supply–Demand Coordination in Large Chinese Cities," Sustainability, MDPI, vol. 10(9), pages 1-25, August.
    14. Jiemei Luo & Edwin H. W. Chan & Jinfeng Du & Linxia Feng & Peng Jiang & Ying Xu, 2022. "Developing a Health-Spatial Indicator System for a Healthy City in Small and Midsized Cities," IJERPH, MDPI, vol. 19(6), pages 1-20, March.
    15. Xinwei Ma & Yanjie Ji & Yuchuan Jin & Jianbiao Wang & Mingjia He, 2018. "Modeling the Factors Influencing the Activity Spaces of Bikeshare around Metro Stations: A Spatial Regression Model," Sustainability, MDPI, vol. 10(11), pages 1-12, October.
    16. Yang, Wenyue & Chen, Huiling & Wang, Wulin, 2020. "The path and time efficiency of residents' trips of different purposes with different travel modes: An empirical study in Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 88(C).
    17. Wenyue Yang & Shaojian Wang & Xiaoming Zhao, 2018. "Measuring the Direct and Indirect Effects of Neighborhood-Built Environments on Travel-related CO 2 Emissions: A Structural Equation Modeling Approach," Sustainability, MDPI, vol. 10(5), pages 1-14, April.
    18. Lan Wu & Xiaorui Yuan & Chaoyin Yin & Ming Yang & Hongjian Ouyang, 2023. "Car Ownership Behavior Model Considering Nonlinear Impacts of Multi-Scale Built Environment Characteristics," Sustainability, MDPI, vol. 15(12), pages 1-14, June.
    19. Wei Wang & Kimberly A. Eddleston & Francesco Chirico & Stephen X. Zhang & Qiaozhuan Liang & Wei Deng, 2023. "Family Diversity and Business Start-Up: Do Family Meals Feed the Fire of Entrepreneurship?," Entrepreneurship Theory and Practice, , vol. 47(4), pages 1265-1297, July.
    20. 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.

    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:15:y:2023:i:13:p:9888-:d:1176121. 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.