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Quantifying urban sprawl and investigating the cause-effect links among urban sprawl factors, commuting modes, and time: A case study of South Korean cities

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  • Lee, Changyeon

Abstract

This study aims to create a detailed urban sprawl index, investigate the relationship between density and other urban sprawl factors, and analyze how these factors affect commuting mode time in South Korean cities using structural equation modeling and multiple linear regression. Urban sprawl factors are categorized from various individual perspectives into density, urban landscape, land-use mix, centeredness, and street connectivity. We show that while scores for urban landscape, density, and centeredness were high in cities with large populations, scores for land-use mix and street connectivity were high in cities with medium and small populations. We found that density had significant effects on urban landscape, centeredness, and street connectivity. The indirect effects of density on commuting modes and time counterbalance the direct effects, indicating that while the indirect effects do not change the direction of the direct effects, they reduce their magnitude, making the total effect smaller than the direct effect. A higher density was associated with fewer commuters using cars and higher numbers of public transit, but the reduction in cars was limited to less than 30 min of commuting time. In addition, high density was positively associated with commuting time. High scores for urban landscape, land-use mix, and street connectivity were associated with a reduction in commuting time but did not have an effect on the conversion from cars to public transit for the journey to work. High scores for urban landscape and street connectivity were associated with more walking commuters but were limited to commuting for less than 60 min. This study shows that urban sprawl factors are mutually complementary for commuting mode changes and time. This study provides evidence for establishing sustainable transportation plans. In addition, the urban sprawl index can be used in future research to investigate the effects of urban sprawl on various social and environmental phenomena.

Suggested Citation

  • Lee, Changyeon, 2024. "Quantifying urban sprawl and investigating the cause-effect links among urban sprawl factors, commuting modes, and time: A case study of South Korean cities," Journal of Transport Geography, Elsevier, vol. 121(C).
  • Handle: RePEc:eee:jotrge:v:121:y:2024:i:c:s0966692324002187
    DOI: 10.1016/j.jtrangeo.2024.104009
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    1. Cárdenas Rodríguez, Miguel & Dupont-Courtade, Laura & Oueslati, Walid, 2016. "Air pollution and urban structure linkages: Evidence from European cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1-9.
    2. Feng, Jianxi & Dijst, Martin & Wissink, Bart & Prillwitz, Jan, 2017. "Changing travel behaviour in urban China: Evidence from Nanjing 2008–2011," Transport Policy, Elsevier, vol. 53(C), pages 1-10.
    3. Deng, Xiangzheng & Huang, Jikun & Rozelle, Scott & Uchida, Emi, 2008. "Growth, population and industrialization, and urban land expansion of China," Journal of Urban Economics, Elsevier, vol. 63(1), pages 96-115, January.
    4. Marcy Burchfield & Henry G. Overman & Diego Puga & Matthew A. Turner, 2006. "Causes of Sprawl: A Portrait from Space," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 587-633.
    5. Gilles Duranton & Diego Puga, 2020. "The Economics of Urban Density," Journal of Economic Perspectives, American Economic Association, vol. 34(3), pages 3-26, Summer.
    6. Frank, Lawrence Douglas & Saelens, Brian E. & Powell, Ken E. & Chapman, James E., 2007. "Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?," Social Science & Medicine, Elsevier, vol. 65(9), pages 1898-1914, November.
    7. Yan Song & Yanping Chen & Xiaohong Pan, 2012. "Polycentric spatial structure and travel mode choice: the case of Shenzhen, China," Regional Science Policy & Practice, Wiley Blackwell, vol. 4(4), pages 479-493, November.
    8. Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2018. "How urban density, network topology and socio-economy influence public transport ridership: Empirical evidence from 48 European metropolitan areas," Journal of Transport Geography, Elsevier, vol. 72(C), pages 50-63.
    9. Mark R. Stevens, 2017. "Response to Commentaries on “Does Compact Development Make People Drive Less?”," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(2), pages 151-158, April.
    10. Uijeong Hwang & Myungje Woo, 2020. "Analysis of Inter-Relationships between Urban Decline and Urban Sprawl in City-Regions of South Korea," Sustainability, MDPI, vol. 12(4), pages 1-23, February.
    11. Garcia-López, Miquel-Àngel, 2019. "All roads lead to Rome … and to sprawl? Evidence from European cities," Regional Science and Urban Economics, Elsevier, vol. 79(C).
    12. Mark R. Stevens, 2017. "Does Compact Development Make People Drive Less?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(1), pages 7-18, January.
    13. Chakrabarti, Sandip & Joh, Kenneth, 2019. "The effect of parenthood on travel behavior: Evidence from the California Household Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 101-115.
    14. Eidlin, Eric, 2010. "What Density Doesn't Tell Us About Sprawl," University of California Transportation Center, Working Papers qt92x6r12w, University of California Transportation Center.
    15. McGrath, Daniel T., 2005. "More evidence on the spatial scale of cities," Journal of Urban Economics, Elsevier, vol. 58(1), pages 1-10, July.
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