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Effects of Land-Use Characteristics on Transport Mode Choices by Purpose of Travel in Seoul, South Korea, Based on Spatial Regression Analysis

Author

Listed:
  • Byunghak Min

    (Department of Architecture, Korea University, 145, Anam-ro, Seungbuk-gu, Seoul 02841, Korea)

  • Gunwon Lee

    (Division of Architecture, Civil and Environmental Engineering, Hoseo University, 20, Hoseo-ro 79 beon-gil, Baebang-eup, Asan-si 31499, Korea)

  • Seiyong Kim

    (Department of Architecture, Korea University, 145, Anam-ro, Seungbuk-gu, Seoul 02841, Korea)

Abstract

The objective of this study was to identify the effects of land-use characteristics on the transport mode choices of people according to their purpose of travel. Land-use characteristics consisting of variables associated with density, diversity and accessibility were selected as independent variables. The volume of traffic entering each administrative neighborhood was extracted to establish travel data as the dependent variable. We compared and analyzed the results derived from ordinary least squares (OLS) analysis and spatial regression (SR) analysis. The results showed that the explanatory power of the SR model was higher than that of the OLS model. The results in this study reveal that the effects of land-use characteristics on travel show clear differences according to the transport mode, more so than according to the purpose of travel. Moreover, the results showed that an increase in the level of variables associated with density does not always facilitate the use of non-motorized or public transit modes, nor does it always deter the use of personal motorized modes. The findings in this study are significant in a knowledge-sharing context, as they present the effects of land-use characteristics on the volume of traffic in high-density cities, using Seoul as a case study.

Suggested Citation

  • Byunghak Min & Gunwon Lee & Seiyong Kim, 2021. "Effects of Land-Use Characteristics on Transport Mode Choices by Purpose of Travel in Seoul, South Korea, Based on Spatial Regression Analysis," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1767-:d:494773
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    References listed on IDEAS

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    1. Kevin Manaugh & Tyler Kreider, 2013. "What is mixed use? Presenting an interaction method for measuring land use mix," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(1), pages 63-72.
    2. Javier Delso & Belén Martín & Emilio Ortega, 2018. "Potentially Replaceable Car Trips: Assessment of Potential Modal Change towards Active Transport Modes in Vitoria-Gasteiz," Sustainability, MDPI, vol. 10(10), pages 1-13, September.
    3. Crane, Randall & Crepeau, Richard, 1998. "Does Neighborhood Design Influence Travel?: Behavioral Analysis of Travel Diary and GIS Data," University of California Transportation Center, Working Papers qt4pj4s7t8, University of California Transportation Center.
    4. Cervero, Robert & Kang, Chang Deok, 2011. "Bus rapid transit impacts on land uses and land values in Seoul, Korea," Transport Policy, Elsevier, vol. 18(1), pages 102-116, January.
    5. 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.
    6. Kenneth Joh & Sandip Chakrabarti & Marlon G. Boarnet & Ayoung Woo, 2015. "The Walking Renaissance: A Longitudinal Analysis of Walking Travel in the Greater Los Angeles Area, USA," Sustainability, MDPI, vol. 7(7), pages 1-27, July.
    7. Cervero, Robert, 1988. "Land-Use Mixing and Suburban Mobility," University of California Transportation Center, Working Papers qt9w56k7x8, University of California Transportation Center.
    8. Sarika Bahadure & Rajashree Kotharkar, 2015. "Assessing Sustainability of Mixed Use Neighbourhoods through Residents’ Travel Behaviour and Perception: The Case of Nagpur, India," Sustainability, MDPI, vol. 7(9), pages 1-26, September.
    9. Crane, Randall, 1998. "Travel By Design?," University of California Transportation Center, Working Papers qt3pc4v6jj, University of California Transportation Center.
    10. Jichao Geng & Ruyin Long & Hong Chen & Ting Yue & Wenbo Li & Qianwen Li, 2017. "Exploring Multiple Motivations on Urban Residents’ Travel Mode Choices: An Empirical Study from Jiangsu Province in China," Sustainability, MDPI, vol. 9(1), pages 1-16, January.
    11. Cervero, Robert, 1996. "Mixed land-uses and commuting: Evidence from the American Housing Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(5), pages 361-377, September.
    12. Jie Song & Ruoniu Wang, 2017. "Measuring the Spatial Dimension of Automobile Ownership and Its Associations with Household Characteristics and Land Use Patterns: A Case Study in Three Counties, South Florida (USA)," Sustainability, MDPI, vol. 9(4), pages 1-19, April.
    13. Antonio M. Bento & Maureen L. Cropper & Ahmed Mushfiq Mobarak & Katja Vinha, 2005. "The Effects of Urban Spatial Structure on Travel Demand in the United States," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 466-478, August.
    14. Raymond J. G. M. Florax & Thomas Graaff, 2004. "The Performance of Diagnostic Tests for Spatial Dependence in Linear Regression Models: A Meta-Analysis of Simulation Studies," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax & Sergio J. Rey (ed.), Advances in Spatial Econometrics, chapter 2, pages 29-65, Springer.
    15. Cervero, Robert, 1989. "Jobs-Housing Balancing and Regional Mobility," University of California Transportation Center, Working Papers qt7mx3k73h, University of California Transportation Center.
    16. Mohammed Ali Berawi & Gunawan Saroji & Fuad Adrian Iskandar & Bernard Elpetino Ibrahim & Perdana Miraj & Mustika Sari, 2020. "Optimizing Land Use Allocation of Transit-Oriented Development (TOD) to Generate Maximum Ridership," Sustainability, MDPI, vol. 12(9), pages 1-20, May.
    17. Cervero, Robert & Radisch, Carolyn, 1996. "Travel choices in pedestrian versus automobile oriented neighborhoods," Transport Policy, Elsevier, vol. 3(3), pages 127-141, July.
    18. Liu, Xi & Gong, Li & Gong, Yongxi & Liu, Yu, 2015. "Revealing travel patterns and city structure with taxi trip data," Journal of Transport Geography, Elsevier, vol. 43(C), pages 78-90.
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