IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i4p1767-d494773.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/4/1767/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/4/1767/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Crane, Randall, 1998. "Travel By Design?," University of California Transportation Center, Working Papers qt3pc4v6jj, University of California Transportation Center.
    2. 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.
    3. Manaugh, Kevin & Kreider, Tyler, 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Cervero, Robert, 1989. "Jobs-Housing Balancing and Regional Mobility," University of California Transportation Center, Working Papers qt7mx3k73h, University of California Transportation Center.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Cervero, Robert, 1988. "Land-Use Mixing and Suburban Mobility," University of California Transportation Center, Working Papers qt9w56k7x8, University of California Transportation Center.
    16. Cervero, Robert & Radisch, Carolyn, 1996. "Travel choices in pedestrian versus automobile oriented neighborhoods," Transport Policy, Elsevier, vol. 3(3), pages 127-141, July.
    17. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dursun Balkan & Goknur Arzu Akyuz, 2023. "Logistics Sector Turnover: Forecasting for Turkey, EU27 and EA19 under Effects of COVID-19," Logistics, MDPI, vol. 7(2), pages 1-22, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cervero, Robert & Duncan, Michael, 2006. "Balanced Growth, Travel Demand, and Physical Activity," University of California Transportation Center, Working Papers qt5c95t59t, University of California Transportation Center.
    2. 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.
    3. Jen-Jia Lin & An-Tsei Yang, 2009. "Structural Analysis of How Urban Form Impacts Travel Demand: Evidence from Taipei," Urban Studies, Urban Studies Journal Limited, vol. 46(9), pages 1951-1967, August.
    4. Cervero, Robert & Duncan, Michael, 2008. "Which Reduces Vehicle Travel More: Jobs-Housing Balauce or Retail-Housing Mixing?," University of California Transportation Center, Working Papers qt1s110395, University of California Transportation Center.
    5. Mindali, Orit & Raveh, Adi & Salomon, Ilan, 2004. "Urban density and energy consumption: a new look at old statistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(2), pages 143-162, February.
    6. Cao, Xinyu, 2006. "The Causal Relationship between the Built Environment and Personal Travel Choice: Evidence from Northern California," University of California Transportation Center, Working Papers qt07q5p340, University of California Transportation Center.
    7. Cao, XinYu, 2007. "The Causal Relationship between the Built Environment and Personal Travel Choice: Evidence from Northern California," Institute of Transportation Studies, Working Paper Series qt1n90z8h8, Institute of Transportation Studies, UC Davis.
    8. Chatman, Daniel G., 2008. "Deconstructing development density: Quality, quantity and price effects on household non-work travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(7), pages 1008-1030, August.
    9. Cao, Xinyu (Jason) & Mokhtarian, Patricia L. & Handy, Susan L., 2009. "The relationship between the built environment and nonwork travel: A case study of Northern California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 548-559, June.
    10. Javier Asensio, 2002. "Transport Mode Choice by Commuters to Barcelona's CBD," Urban Studies, Urban Studies Journal Limited, vol. 39(10), pages 1881-1895, September.
    11. Sumeeta Srinivasan, 2002. "Quantifying Spatial Characteristics of Cities," Urban Studies, Urban Studies Journal Limited, vol. 39(11), pages 2005-2028, October.
    12. Safirova, Elena A. & Houde, Sébastien & Harrington, Winston, 2007. "Spatial Development and Energy Consumption," RFF Working Paper Series dp-07-51, Resources for the Future.
    13. Tae-Hyoung Gim, 2012. "A meta-analysis of the relationship between density and travel behavior," Transportation, Springer, vol. 39(3), pages 491-519, May.
    14. Tae‐Hyoung Tommy Gim, 2021. "Quantile regression on the nonlinear relationship between land use and trip time," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 1055-1077, August.
    15. Ji, Shujuan & Wang, Xin & Lyu, Tao & Liu, Xiaojie & Wang, Yuanqing & Heinen, Eva & Sun, Zhenwei, 2022. "Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP: A non-linear and interaction effect analysis," Journal of Transport Geography, Elsevier, vol. 103(C).
    16. Ann Forsyth & Mary Hearst & J. Michael Oakes & Kathryn H. Schmitz, 2008. "Design and Destinations: Factors Influencing Walking and Total Physical Activity," Urban Studies, Urban Studies Journal Limited, vol. 45(9), pages 1973-1996, August.
    17. Metin Senbil & Ryuichi Kitamura & Jamilah Mohamad, 2009. "Residential location, vehicle ownership and travel in Asia: a comparative analysis of Kei-Han-Shin and Kuala Lumpur metropolitan areas," Transportation, Springer, vol. 36(3), pages 325-350, May.
    18. Clark, Thomas A., 2013. "Metropolitan density, energy efficiency and carbon emissions: Multi-attribute tradeoffs and their policy implications," Energy Policy, Elsevier, vol. 53(C), pages 413-428.
    19. Zhao, Chunli & Nielsen, Thomas Alexander Sick & Olafsson, Anton Stahl & Carstensen, Trine Agervig & Meng, Xiaoying, 2018. "Urban form, demographic and socio-economic correlates of walking, cycling, and e-biking: Evidence from eight neighborhoods in Beijing," Transport Policy, Elsevier, vol. 64(C), pages 102-112.
    20. Rahul, T.M. & Verma, Ashish, 2017. "The influence of stratification by motor-vehicle ownership on the impact of built environment factors in Indian cities," Journal of Transport Geography, Elsevier, vol. 58(C), pages 40-51.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1767-:d:494773. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.