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The impacts of urban spatial structure and socio-economic factors on patterns of commuting: a review

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  • Dong Lin
  • Andrew Allan
  • Jianqiang Cui

Abstract

Previous studies have reported that urban spatial structure and the spatial relationship between jobs and housing are strongly correlated with commuting patterns. Nevertheless, a number of studies have also supported the concept that the spatial relationship between workplaces and residences cannot be the only reason behind observed commuting behaviour. Some 'soft' factors also affect people's commuting patterns. When considering these 'soft' factors, urban land development patterns such as urban structure and the spatial relationship between jobs and housing must not be overlooked. In this paper, we first conduct a brief review of the debate about how urban spatial structure and the jobs-housing relationship affect commuting patterns. Then we mainly focus on the 'soft' factors related to commuting behaviour. We divided the 'soft factors' into city-level factors and individual- and household-level factors. These perspectives will offer insights to identify a set of key factors that could affect the patterns of commuting.

Suggested Citation

  • Dong Lin & Andrew Allan & Jianqiang Cui, 2015. "The impacts of urban spatial structure and socio-economic factors on patterns of commuting: a review," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 19(2), pages 238-255, July.
  • Handle: RePEc:taf:rjusxx:v:19:y:2015:i:2:p:238-255
    DOI: 10.1080/12265934.2015.1016092
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    References listed on IDEAS

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    1. Masahisa Fujita & Paul Krugman & Anthony J. Venables, 2001. "The Spatial Economy: Cities, Regions, and International Trade," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262561476, December.
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    Cited by:

    1. Jianghong Li & Matthias Pollmann-Schult, 2016. "Fathers’ Commute to Work and Children’s Social and Emotional Well-Being in Germany," Journal of Family and Economic Issues, Springer, vol. 37(3), pages 488-501, September.
    2. Erick Guerra & Shengxiao Li & Ariadna Reyes, 2022. "How do low-income commuters get to work in US and Mexican cities? A comparative empirical assessment," Urban Studies, Urban Studies Journal Limited, vol. 59(1), pages 75-96, January.
    3. Seungwoo Han, 2022. "Spatial stratification and socio-spatial inequalities: the case of Seoul and Busan in South Korea," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-14, December.
    4. Marcińczak, Szymon & Bartosiewicz, Bartosz, 2018. "Commuting patterns and urban form: Evidence from Poland," Journal of Transport Geography, Elsevier, vol. 70(C), pages 31-39.
    5. Mostafa Ghadami & Andreas Dittmann & Taher Safarrad, 2020. "Lack of Spatial Approach in Urban Density Policies: The Case of the Master Plan of Tehran," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
    6. 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.
    7. Xiaoyan Li & Yanchuan Mou & Huiying Wang & Chaohui Yin & Qingsong He, 2018. "How Does Polycentric Urban Form Affect Urban Commuting? Quantitative Measurement Using Geographical Big Data of 100 Cities in China," Sustainability, MDPI, vol. 10(12), pages 1-14, December.
    8. Natalia Zdanowska, 2023. "Socio-spatial Inequalities in a Context of "Great Economic Wealth". Case study of neighbourhoods of Luxembourg City," Papers 2307.09251, arXiv.org.
    9. Dong Lin & Andrew Allan & Jianqiang Cui, 2016. "Exploring Differences in Commuting Behaviour among Various Income Groups during Polycentric Urban Development in China: New Evidence and Its Implications," Sustainability, MDPI, vol. 8(11), pages 1-17, November.
    10. Tae-Hyoung Tommy Gim, 2017. "Full Random Coefficients Multilevel Modeling of the Relationship between Land Use and Trip Time on Weekdays and Weekends," Sustainability, MDPI, vol. 9(10), pages 1-26, October.
    11. Jaewon Lim & Jae Hong Kim, 2019. "Joint Determination of Residential Relocation and Commuting: A Forecasting Experiment for Sustainable Land Use and Transportation Planning," Sustainability, MDPI, vol. 11(1), pages 1-24, January.
    12. Chan Xu & Qi An & Zichuan Guo & Xuemei Yu & Jie Zhang & Kui Tang, 2023. "Comparative Study on Socio-Spatial Structures of the Typical Plain Cities of Chengdu and Beijing in Transitional China," Sustainability, MDPI, vol. 15(5), pages 1-32, February.
    13. José M. Casado-Díaz & Raquel Simón-Albert & Hipólito Simón, 2022. "Reassessing the commuting penalty for immigrants: new evidence from Spain," Transportation, Springer, vol. 49(4), pages 1099-1132, August.
    14. Tae-Hyoung Tommy Gim, 2017. "Investigating travel utility elements in association with travel time and mode choice: the case of Seoul, South Korea," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(6), pages 641-660, August.
    15. David Jung-Hwi Lee & Jean-Michel Guldmann, 2023. "Optimal Regional Allocation of Future Population and Employment under Urban Boundary and Density Constraints: A Spatial Interaction Modeling Approach," Land, MDPI, vol. 12(2), pages 1-33, February.
    16. Li, Chunjiang & Zhang, Yan & Chai, Yanwei, 2021. "Do spatial factors outweigh institutional factors? Changes in influencing factors of home-work separation from 2007 to 2017 in Beijing," Journal of Transport Geography, Elsevier, vol. 96(C).

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