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A quasi-experimental study of light rail transit on jobs-housing balance by regional typology: A case study of South Korea

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  • Yang, Wookjae
  • Chang, Justin S.

Abstract

Light Rail Transit (LRT) systems have been introduced across various regions of South Korea to address travel needs and promote sustainable urban development. Jobs-housing balance was one of the top priorities for city management in these schemes. However, a lack of an integrated plan for LRT and jobs-housing opportunities has resulted in excess commuting, which contradicts the expected outcome of providing an LRT system. Existing literature has reported mixed findings on jobs-housing balance. These seemingly perplexing results would arise from methodological limitations that fail to adequately control for confounding variables and explain variations among regional types. The study analyzes changes in jobs-housing balance after the intervention of LRT systems in different urban contexts. This study categorizes regional typologies of LRT service areas into three types—type1 if a line connects “periphery-metropolitan center-periphery” areas; type2 if a line connects “city center-periphery”; type3 if a line serves “metropolitan center.” The study employs a quasi-experimental design incorporating propensity score matching (PSM) and difference-in-difference regression. PSM matches treatment and control groups that have similar characteristics. Subsequently, difference-in-difference regression modeling estimates the treatment effects on jobs-housing balance resulting from LRT system operations. The PSM results confirm the varied impacts of LRT operations on the jobs-housing balance depending on the different regional types. Types 1 and 2, linking the metropolitan or surrounding city centers with the urban peripheries, experience significant imbalances, while the control groups show greater jobs-housing balance after the introduction of LRT. However, type 3 serving metropolitan centers demonstrates no significant difference between treatment and control groups. The DID results indicate that the treatment effect is only significant in type 1. In conclusion, LRT systems, which mainly connect urban peripheries and centers, are more likely to cause a mismatch between jobs and housing distribution. The results suggest an integrated approach between LRT and the built environment, such as transit-oriented development (TOD), that promotes a jobs-housing balance by locating jobs and affordable housing near LRT stations.

Suggested Citation

  • Yang, Wookjae & Chang, Justin S., 2025. "A quasi-experimental study of light rail transit on jobs-housing balance by regional typology: A case study of South Korea," Journal of Transport Geography, Elsevier, vol. 124(C).
  • Handle: RePEc:eee:jotrge:v:124:y:2025:i:c:s096669232500064x
    DOI: 10.1016/j.jtrangeo.2025.104173
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    References listed on IDEAS

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    1. Jenny Schuetz, 2015. "Do rail transit stations encourage neighbourhood retail activity?," Urban Studies, Urban Studies Journal Limited, vol. 52(14), pages 2699-2723, November.
    2. Mejia-Dorantes, Lucia & Paez, Antonio & Vassallo, Jose Manuel, 2012. "Transportation infrastructure impacts on firm location: the effect of a new metro line in the suburbs of Madrid," Journal of Transport Geography, Elsevier, vol. 22(C), pages 236-250.
    3. Benjamin Duquet & Cédric Brunelle, 2020. "Subcentres as Destinations: Job Decentralization, Polycentricity, and the Sustainability of Commuting Patterns in Canadian Metropolitan Areas, 1996–2016," Sustainability, MDPI, vol. 12(23), pages 1-25, November.
    4. Edward Glaeser & Joseph Gyourko, 2018. "The Economic Implications of Housing Supply," Journal of Economic Perspectives, American Economic Association, vol. 32(1), pages 3-30, Winter.
    5. Suzuki, Tsutomu & Lee, Sohee, 2012. "Jobs–housing imbalance, spatial correlation, and excess commuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 322-336.
    6. Boisjoly, Geneviève & Serra, Bernardo & Oliveira, Gabriel T. & El-Geneidy, Ahmed, 2020. "Accessibility measurements in São Paulo, Rio de Janeiro, Curitiba and Recife, Brazil," Journal of Transport Geography, Elsevier, vol. 82(C).
    7. Qin, Ping & Wang, Lanlan, 2019. "Job opportunities, institutions, and the jobs-housing spatial relationship: Case study of Beijing," Transport Policy, Elsevier, vol. 81(C), pages 331-339.
    8. Bwire, Hannibal & Zengo, Emil, 2020. "Comparison of efficiency between public and private transport modes using excess commuting: An experience in Dar es Salaam," Journal of Transport Geography, Elsevier, vol. 82(C).
    9. Urbanek, Anna, 2021. "Potential of modal shift from private cars to public transport: A survey on the commuters’ attitudes and willingness to switch – A case study of Silesia Province, Poland," Research in Transportation Economics, Elsevier, vol. 85(C).
    10. Gordon, Peter & Kumar, Ajay & Richardson, Harry W., 1989. "The influence of metropolitan spatial structure on commuting time," Journal of Urban Economics, Elsevier, vol. 26(2), pages 138-151, September.
    11. Haonan Zhang & Hu Zhao & Saisai Meng & Yanghua Zhang, 2022. "Research on the Jobs-Housing Balance of Residents in Peri-Urbanization Areas in China: A Case Study of Zoucheng County," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    12. Raul Silveira Neto & Gisleia Duarte & Antonio Páez, 2015. "Gender and commuting time in São Paulo Metropolitan Region," Urban Studies, Urban Studies Journal Limited, vol. 52(2), pages 298-313, February.
    13. Crane, Randall, 1996. "The Influence of Uncertain Job Location on Urban Form and the Journey to Work," Journal of Urban Economics, Elsevier, vol. 39(3), pages 342-356, May.
    14. Schleith, Daniel & Widener, Michael & Kim, Changjoo, 2016. "An examination of the jobs-housing balance of different categories of workers across 26 metropolitan regions," Journal of Transport Geography, Elsevier, vol. 57(C), pages 145-160.
    15. Cervero, Robert, 1989. "Jobs-Housing Balancing and Regional Mobility," University of California Transportation Center, Working Papers qt7mx3k73h, University of California Transportation Center.
    16. Kim, Chansung, 2008. "Commuting time stability: A test of a co-location hypothesis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(3), pages 524-544, March.
    17. Li, Si-ming & Liu, Yi, 2016. "The jobs-housing relationship and commuting in Guangzhou, China: Hukou and dual structure," Journal of Transport Geography, Elsevier, vol. 54(C), pages 286-294.
    18. Kok, Nils & Monkkonen, Paavo & Quigley, John M., 2014. "Land use regulations and the value of land and housing: An intra-metropolitan analysis," Journal of Urban Economics, Elsevier, vol. 81(C), pages 136-148.
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