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Spatiotemporal heterogeneous effects of socio-demographic and built environment on private car usage: An empirical study of Kunming, China

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  • He, Mingwei
  • He, Chengfeng
  • Shi, Zhuangbin
  • He, Min

Abstract

The increasing car usage has caused a series of social and environmental problems. Most previous studies examined the general correlations between the determinants and the usage pattern of private car by establishing global regression models. These models ignore the variation of travel behavior across temporal and spatial dimensions, which possibly leads to wrong bias and overlooks certain momentous details. Considering this research gap, this paper explores the influence of determinants on the time-of-day car usage pattern, using the multi-source data collected from the city of Kunming, China. It applies a geographically and temporally weighted regression (GTWR) model to investigate the heterogeneous relationship between on the hourly mode share of private car and the factors of individual attributes and built environment. The empirical results show that the GTWR model produces better goodness-of-fit compared with global regression model, as well as geographically weighted regression (GWR) model. It suggests that most explanatory variables are spatiotemporal non-stationary associated with hourly car share. A visualization method is applied to analyze the temporal variation of the coefficients of socio-demographic attributes and built environment variables, and to reveal the spatial distribution of the effects of determinants during peak periods. The empirical results show that both of selected the socio-demographic and built environment attributes have heterogeneous effect on the car share in time and space dimensions. For example, the proportion of college or college above presents stronger negative effect on the share of private car in the afternoon peak than in the morning peak, the negative impact of the densities of built environment (i.e., road, population, and bus stop) is more significant in underdeveloped area. Finally, insightful policy recommendations for different urban areas are presented to encourage the reduction of car usage and alleviate urban traffic problems.

Suggested Citation

  • He, Mingwei & He, Chengfeng & Shi, Zhuangbin & He, Min, 2022. "Spatiotemporal heterogeneous effects of socio-demographic and built environment on private car usage: An empirical study of Kunming, China," Journal of Transport Geography, Elsevier, vol. 101(C).
    • Handle: RePEc:eee:jotrge:v:101:y:2022:i:c:s096669232200076x
    DOI: 10.1016/j.jtrangeo.2022.103353
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    References listed on IDEAS

    as
    1. Guo, Zhan, 2013. "Does residential parking supply affect household car ownership? The case of New York City," Journal of Transport Geography, Elsevier, vol. 26(C), pages 18-28.
    2. 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.
    3. Zhang, Linling & Long, Ruyin & Chen, Hong, 2019. "Do car restriction policies effectively promote the development of public transport?," World Development, Elsevier, vol. 119(C), pages 100-110.
    4. 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.
    5. Chowdhury, Tufayel & Scott, Darren M., 2020. "An analysis of the built environment and auto travel in Halifax, Canada," Transport Policy, Elsevier, vol. 94(C), pages 23-33.
    6. Soltani, Ali & Pojani, Dorina & Askari, Sajad & Masoumi, Houshmand E., 2018. "Socio-demographic and built environment determinants of car use among older adults in Iran," Journal of Transport Geography, Elsevier, vol. 68(C), pages 109-117.
    7. Zhao, Pengjun & Zhang, Yixue, 2018. "Travel behaviour and life course: Examining changes in car use after residential relocation in Beijing," Journal of Transport Geography, Elsevier, vol. 73(C), pages 41-53.
    8. Li, Xijing & Zhang, Mengmeng & Wang, Jionghua, 2022. "The spatio-temporal relationship between land use and population distribution around new intercity railway stations: A case study on the Pearl River Delta region, China," Journal of Transport Geography, Elsevier, vol. 98(C).
    9. Steg, Linda, 2005. "Car use: lust and must. Instrumental, symbolic and affective motives for car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 147-162.
    10. Potoglou, Dimitris & Kanaroglou, Pavlos S., 2008. "Modelling car ownership in urban areas: a case study of Hamilton, Canada," Journal of Transport Geography, Elsevier, vol. 16(1), pages 42-54.
    11. Zhang, Bin & Chen, Shuyan & Ma, Yongfeng & Li, Tiezhu & Tang, Kun, 2020. "Analysis on spatiotemporal urban mobility based on online car-hailing data," Journal of Transport Geography, Elsevier, vol. 82(C).
    12. Schuitema, Geertje & Steg, Linda & Forward, Sonja, 2010. "Explaining differences in acceptability before and acceptance after the implementation of a congestion charge in Stockholm," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(2), pages 99-109, February.
    13. Cheng, Long & Shi, Kunbo & De Vos, Jonas & Cao, Mengqiu & Witlox, Frank, 2021. "Examining the spatially heterogeneous effects of the built environment on walking among older adults," Transport Policy, Elsevier, vol. 100(C), pages 21-30.
    14. Lois, David & López-Sáez, Mercedes, 2009. "The relationship between instrumental, symbolic and affective factors as predictors of car use: A structural equation modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(9-10), pages 790-799, November.
    15. Albert, Gila & Mahalel, David, 2006. "Congestion tolls and parking fees: A comparison of the potential effect on travel behavior," Transport Policy, Elsevier, vol. 13(6), pages 496-502, November.
    16. Singfat Chu, 2011. "Sealed v/s open bids for certificates of entitlement under the vehicle quota system in Singapore," Transportation, Springer, vol. 38(2), pages 215-226, March.
    17. Wang, Lanlan & Xu, Jintao & Qin, Ping, 2014. "Will a driving restriction policy reduce car trips?—The case study of Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 279-290.
    18. Ma, Xinwei & Ji, Yanjie & Yuan, Yufei & Van Oort, Niels & Jin, Yuchuan & Hoogendoorn, Serge, 2020. "A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 148-173.
    19. Chuan Ding & Yaowu Wang & Binglei Xie & Chao Liu, 2014. "Understanding the Role of Built Environment in Reducing Vehicle Miles Traveled Accounting for Spatial Heterogeneity," Sustainability, MDPI, vol. 6(2), pages 1-13, January.
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    2. Wang, Zhiqi & Zhang, Yufeng & Jia, Bin & Gao, Ziyou, 2024. "Comparative Analysis of Usage Patterns and Underlying Determinants for Ride-hailing and Traditional Taxi Services: A Chicago Case Study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).

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