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Examining the Effects of Built Environments and Individual Characteristics on Commuting Time under Spatial Heterogeneity: An Empirical Study in China Using HLM

Author

Listed:
  • Mei Zhang

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Jia Tang

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

  • Jun Gao

    (School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China)

Abstract

A large number of studies have provided evidence regarding the factors that influence commuting time. However, few studies have explored such effects in the context of considering spatial heterogeneity across cities, which limits the generalizability of the findings. This study addresses this gap by utilizing a dataset of 113 cities in China across the years 2014, 2016, 2018, and 2020. A two-level hierarchical linear model (HLM) was developed to explore the combined effects of city-level and individual-level factors on commuting time by constructing a nested “city-individual” relationship. The results show that (1) built environments at the city level significantly impact commuting time; (2) a non-linear association between population density and commuting time (U-shaped relationship) was identified, as well as between the number of buses and commuting time (inverted U-shaped relationship); (3) the urban construction land area and road area per capita exert negative effects on commuting time; (4) the impacts of individuals’ jobs–housing balance, travel allowances, and education on commuting time vary across cities. These findings might contribute to optimizing the design of a built environment, addressing the challenge posed by longer commuting times, and providing a better understanding of the effects of individuals’ characteristics on commuting time while considering the inherent differences across cities.

Suggested Citation

  • Mei Zhang & Jia Tang & Jun Gao, 2023. "Examining the Effects of Built Environments and Individual Characteristics on Commuting Time under Spatial Heterogeneity: An Empirical Study in China Using HLM," Land, MDPI, vol. 12(8), pages 1-20, August.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:8:p:1596-:d:1216471
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    as
    1. Abou-Zeid, Maya & Ben-Akiva, Moshe, 2011. "The effect of social comparisons on commute well-being," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 345-361, May.
    2. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2022. "Trends in commuting time of European workers: A cross-country analysis," Transport Policy, Elsevier, vol. 116(C), pages 327-342.
    3. Song Li & Fei Xue & Chuyu Xia & Jian Zhang & Ao Bian & Yuexi Lang & Jun Zhou, 2022. "A Big Data-Based Commuting Carbon Emissions Accounting Method—A Case of Hangzhou," Land, MDPI, vol. 11(6), pages 1-18, June.
    4. Sandow, Erika, 2008. "Commuting behaviour in sparsely populated areas: evidence from northern Sweden," Journal of Transport Geography, Elsevier, vol. 16(1), pages 14-27.
    5. Tim Schwanen & Frans M. Dieleman & Martin Dijst, 2004. "The Impact of Metropolitan Structure on Commute Behavior in the Netherlands: A Multilevel Approach," Growth and Change, Wiley Blackwell, vol. 35(3), pages 304-333, September.
    6. 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.
    7. Chung-Hao Chang & Shih-Fang Lo, 2022. "Impact Analysis of a National and Corporate Carbon Emission Reduction Target on Renewable Electricity Use: A Review," Energies, MDPI, vol. 15(5), pages 1-18, February.
    8. J. Ignacio Gimenez-Nadal & José Alberto Molina, 2016. "Commuting Time And Household Responsibilities: Evidence Using Propensity Score Matching," Journal of Regional Science, Wiley Blackwell, vol. 56(2), pages 332-359, March.
    9. Zhao, Pengjun & Wan, Jie, 2021. "Land use and travel burden of residents in urban fringe and rural areas: An evaluation of urban-rural integration initiatives in Beijing," Land Use Policy, Elsevier, vol. 103(C).
    10. J. Ignacio Gimenez-Nadal & José Alberto Molina, 2014. "Commuting Time and Labour Supply in the Netherlands A Time Use Study," Journal of Transport Economics and Policy, University of Bath, vol. 48(3), pages 409-426, September.
    11. Cheng Hsiao, 2005. "Why Panel Data?," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 50(02), pages 143-154.
    12. Zhong Zheng & Suhong Zhou & Xingdong Deng, 2022. "The spatially heterogeneous and double-edged effect of the built environment on commuting distance: Home-based and work-based perspectives," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-24, March.
    13. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
    14. David Levinson, 1998. "Accessibility and the Journey to Work," Working Papers 199802, University of Minnesota: Nexus Research Group.
    15. McBride, Michael, 2001. "Relative-income effects on subjective well-being in the cross-section," Journal of Economic Behavior & Organization, Elsevier, vol. 45(3), pages 251-278, July.
    16. Lara Engelfriet & Eric Koomen, 2018. "The impact of urban form on commuting in large Chinese cities," Transportation, Springer, vol. 45(5), pages 1269-1295, September.
    17. Genevieve Giuliano & Kenneth A. Small, 1993. "Is the Journey to Work Explained by Urban Structure?," Urban Studies, Urban Studies Journal Limited, vol. 30(9), pages 1485-1500, November.
    18. Nguyen-Phuoc, Duy Q. & Currie, Graham & De Gruyter, Chris & Kim, Inhi & Young, William, 2018. "Modelling the net traffic congestion impact of bus operations in Melbourne," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 1-12.
    19. Yu Song & Guofan Shao & Xiaodong Song & Yong Liu & Lei Pan & Hong Ye, 2017. "The Relationships between Urban Form and Urban Commuting: An Empirical Study in China," Sustainability, MDPI, vol. 9(7), pages 1-17, July.
    20. Liang Zhang & Linlin Zhang & Xue Liu, 2022. "Evaluation of Urban Spatial Growth Performance from the Perspective of a Polycentric City: A Case Study of Hangzhou," Land, MDPI, vol. 11(8), pages 1-20, July.
    21. Dong Lin & Andrew Allan & Jianqiang Cui, 2017. "Sub-centres, socio-economic characteristics and commuting: a case study and its implications," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(2), pages 147-171, May.
    22. Yanhui Wang & Chenxia Liang & Jiacun Li, 2019. "Detecting village‐level regional development differences: A GIS and HLM method," Growth and Change, Wiley Blackwell, vol. 50(1), pages 222-246, March.
    23. Donggen Wang & Tao Lin, 2019. "Built environment, travel behavior, and residential self-selection: a study based on panel data from Beijing, China," Transportation, Springer, vol. 46(1), pages 51-74, February.
    24. Kevin Manaugh & Luis Miranda-Moreno & Ahmed El-Geneidy, 2010. "The effect of neighbourhood characteristics, accessibility, home–work location, and demographics on commuting distances," Transportation, Springer, vol. 37(4), pages 627-646, July.
    25. Stephan J. Goetz & Yicheol Han & Jill L. Findeis & Kathryn J. Brasier, 2010. "U.S. Commuting Networks and Economic Growth: Measurement and Implications for Spatial Policy," Growth and Change, Wiley Blackwell, vol. 41(2), pages 276-302, June.
    26. Veronique Acker & Frank Witlox, 2011. "Commuting trips within tours: how is commuting related to land use?," Transportation, Springer, vol. 38(3), pages 465-486, May.
    27. David M. Levinson & Ajay Kumar, 1997. "Density and the Journey to Work," Growth and Change, Wiley Blackwell, vol. 28(2), pages 147-172, March.
    28. Ha, Jaehyun & Lee, Sugie & Ko, Joonho, 2020. "Unraveling the impact of travel time, cost, and transit burdens on commute mode choice for different income and age groups," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 147-166.
    29. Cheng Hsiao, 2007. "Rejoinder on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 56-57, May.
    30. Changzhi Bian & Changwei Yuan & Wenbo Kuang & Dayong Wu, 2016. "Evaluation, Classification, and Influential Factors Analysis of Traffic Congestion in Chinese Cities Using the Online Map Data," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-10, September.
    31. Bindong Sun & Chun Yin, 2020. "Impacts of a multi-scale built environment and its corresponding moderating effects on commute duration in China," Urban Studies, Urban Studies Journal Limited, vol. 57(10), pages 2115-2130, August.
    32. Schwanen, Tim & Dijst, Martin, 2002. "Travel-time ratios for visits to the workplace: the relationship between commuting time and work duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(7), pages 573-592, August.
    33. Yusak Susilo & Kees Maat, 2007. "The influence of built environment to the trends in commuting journeys in the Netherlands," Transportation, Springer, vol. 34(5), pages 589-609, September.
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