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2026 Vol.44, Issue 3 Preview Page

Article

Determinants of Accessibility Changes Before and After the Opening of the Seohae Line(Daegok–Sosa): Network Centrality Measures and Spatial Regression Analysis

서해선(대곡~소사) 개통 전후 접근성 변화량의 결정요인 분석: 네트워크 중심성 및 공간회귀 활용

Seunghwa JANG1
,
Taewoo KIM2
,
Saehim KIM3
,
Joonho KO4*
장 승화1
,
김 태우2
,
김 새힘3
,
고 준호4*
1Ph.D Candidate, Graduate School of Urban Studies, Hanyang University, Seoul 04763, Korea
2Researcher, Graduate School of Urban Studies, Hanyang University, Seoul 04763, Korea
3Postdoctoral Associate, Graduate School of Urban Studies, Hanyang University, Seoul 04763, Korea
4Professor, Graduate School of Urban Studies, Hanyang University, Seoul 04763, Korea
1한양대학교 도시대학원 박사수료
2한양대학교 도시대학원 연구원
3한양대학교 도시대학원 박사후연구원
4한양대학교 도시대학원 교수
*Corresponding Author
30 June 2026. pp. 457-481
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Abstract

This study analyzes the impacts of the introduction of a new urban rail line on public transport network structure and station-level accessibility from a transport network perspective, using the opening of the Seohae Line (Daegok~Sosa) in the Seoul Metropolitan Area as a case study. While previous studies have focused on changes in ridership performance at individual stations or along specific lines, this study considers both network structural changes and the spatial diffusion of accessibility improvement effects. To this end, rail networks before and after the opening of the Seohae Line are constructed using GTFS-based actual operational information, and network centrality measures, including betweenness centrality, along with a 60-minute cumulative opportunity accessibility indicator, are derived. In addition, spatial regression models are applied to analyze the spatial dependence and spillover effects of accessibility changes. The results show that the opening of the Seohae Line restructured the public transport network in the western Seoul metropolitan area and generated accessibility improvement effects. In particular, areas accessible within 30 minutes to the new line and changes in betweenness centrality within the network had significant impacts on accessibility improvement, and these effects exhibited spatial spillovers to neighboring areas. These findings suggest that the impacts of urban rail openings extend beyond individual station areas and can reshape regional accessibility patterns by altering network connectivity and potential mobility opportunities. The results further indicate that accessibility change analysis may support metropolitan transport planning by informing network-level decision-making, including route evaluation, transfer hub consideration, and integrated feeder service planning. This study provides academic and policy implications by demonstrating urban rail opening effects at the network level through the integration of GTFS-based network analysis and spatial econometric models.

Keywords
accessibility
GTFS data
network centrality
urban rail transit

본 연구는 수도권 광역철도 서해선(대곡~소사) 개통을 사례로 신규 도시철도 노선 도입이 대중교통 네트워크 구조와 도시철도 역 접근성에 미치는 영향을 교통 네트워크 관점에서 분석한다. 기존 연구가 개별 역이나 노선의 수송 실적 변화에 초점을 맞추어왔으나 본 연구는 네트워크 구조 변화와 접근성 개선 효과의 공간적 전이를 함께 고려한다. 이를 위해 서해선 개통 전후의 GTFS 기반 실제 운행 정보를 활용하여 철도 네트워크를 구축하고 매개중심성을 포함한 네트워크 중심성 지표와 60분 누적 기회 접근성 지표를 산출하였다. 또한 공간회귀모형을 적용하여 접근성 변화의 공간적 상호의존성과 파급효과를 분석하였다. 분석 결과, 서해선 개통은 수도권 서부권역의 대중교통 네트워크 구조를 재편하며 접근성 개선 효과를 유발한 것으로 나타났다. 특히 신규 노선에 30분 이내로 접근가능한 지역과 네트워크 내 매개중심성 변화가 접근성 개선에 유의미한 영향을 미쳤으며 이러한 효과는 인접 지역으로 확산되는 공간적 파급효과를 보였다. 이러한 결과는 도시철도 개통 효과가 개별 역세권 수준의 변화에 국한되지 않고 네트워크 연결 구조의 재편을 통해 권역 전반의 잠재적 이동 기회를 변화시킬 수 있음을 시사한다. 또한 접근성 변화 분석이 향후 광역교통망 계획 과정에서 노선 검토, 환승 거점 고려, 연계 교통 서비스 평가 등 네트워크 차원의 계획 의사결정을 지원하는 분석적 근거로 활용될 수 있음을 보여준다. 본 연구는 GTFS 기반 네트워크 분석과 공간계량모형을 결합하여 도시철도 개통 효과를 네트워크 차원에서 규명하였다는 점에서 학술적·정책적 시사점을 제공한다.

키워드
접근성
GTFS 데이터
네트워크 중심성
도시철도
References
1

Albacete X., Olaru D., Paül V., Biermann S. (2017), Measuring the accessibility of public transport: A critical comparison between methods in Helsinki, Applied Spatial Analysis and Policy, 10(2), 161-188.

10.1007/s12061-015-9177-8
2

Anselin L. (1988), Lagrange multiplier test diagnostics for spatial dependence and spatial heterogeneity, Geographical analysis, 20(1), 1-17.

10.1111/j.1538-4632.1988.tb00159.x
3

Bucheon City, https://www.bucheon.go.kr, 2026.02.09.

4

Cao W., Feng X., Jia J., Zhang H. (2019), Characterizing the Structure of the Railway Network in China: A Complex Weighted Network Approach, Journal of Advanced Transportation, 2019(1), 3928260.

10.1155/2019/3928260
5

Cervero R., Duncan M. (2002), Benefits of Proximity to Rail on Housing Markets: Experiences in Santa Clara County, Journal of Public Transportation, 5(1), 1-18.

10.5038/2375-0901.5.1.1
6

Chang J. S., Lee J. H. (2008), Accessibility Analysis of Korean High-Speed Rail: A Case Study of the Seoul Metropolitan Area, Transport Reviews, 28(1), 87-103.

10.1080/01441640701421495
7

Chen S., Zhuang D. (2020), Evolution and Evaluation of the Guangzhou Metro Network Topology Based on an Integration of Complex Network Analysis and GIS, Sustainability, 12(2), 538.

10.3390/su12020538
8

Chiou Y. C., Jou R. C., Yang C. H. (2015), Factors Affecting Public Transportation Usage Rate: Geographically Weighted Regression, Transportation Research Part A: Policy and Practice, 78, 161-177.

10.1016/j.tra.2015.05.016
9

Dröes M. I., Rietveld P. (2015), Rail-Based Public Transport and Urban Spatial Structure: The Interplay Between Network Design, Congestion and Urban Form, Transportation Research Part B: Methodological, 81, 421-439.

10.1016/j.trb.2015.07.004
10

Fransen K., Neutens T., Farber S., De Maeyer P., Deruyter G., Witlox F. (2015), Identifying Public Transport Gaps Using Time-Dependent Accessibility Levels, Journal of Transport Geography, 48, 176-187.

10.1016/j.jtrangeo.2015.09.008
11

Han D., Wu S. (2023), The Capitalization and Urbanization Effect of Subway Stations: A Network Centrality Perspective, Transportation Research Part A: Policy and Practice, 176, 103815.

10.1016/j.tra.2023.103815
12

Hansen W. G. (1959), How Accessibility Shapes Land Use, Journal of the American Institute of Planners, 25(2), 73-76.

10.1080/01944365908978307
13

Hong S. (2023), The Land Price Impact Analysis Near the Station Area Due to Network Accessibility Improvement After the Ui-Sinseol Light Rail Transit Opening, Journal of Korea Planning Association, 58(6), 114-127.

10.17208/jkpa.2023.11.58.6.114
14

Hong S. P., Yi C. H., Lee S. I. (2015), Analyzing the Land-Use Pattern of the Station Area of the Seoul Metropolitan Railway Based on the Network Centrality, Journal of Korea Planning Association, 50(4), 209-226.

10.17208/jkpa.2015.06.50.4.209
15

Im S., Kim T., Chun J. Y., Kweon J., Ko J., Lee S. (2025), Assessing the Impact of GTX Lines on Accessibility Changes in the Seoul Metropolitan Area: A GTFS Data-Based Analysis, Journal of Korea Planning Association, 60(1), 87-103.

10.17208/jkpa.2025.02.60.1.87
16

Jang S., An Y. (2023), Influence of Centrality Indices of Urban Railway Stations: Social Network Analysis of Transit Ridership and Travel Distance, Journal of Regional and City Planning, 33, 323-344.

10.5614/jpwk.2022.33.3.3
17

Jaysinghe, A., De Silva, C. K., Kasemsri, R., & Sano, K. (2017), Network centrality analysis of public transport systems: developing a strategic planning tool to assess passenger attraction, Research for Transport and Logistics Industry, R4TL(17), C12.

18

Jiang H., Levinson D. (2017), Accessibility and the Evaluation of Investments on the Beijing Subway, Journal of Transport and Land Use, 10(1), 395-408.

10.5198/jtlu.2016.884
19

Kapatsila B., Palacios M. S., Grisé E., El-Geneidy A. (2023), Resolving the Accessibility Dilemma: Comparing Cumulative and Gravity-Based Measures of Accessibility in Eight Canadian Cities, Journal of Transport Geography, 107, 103530.

10.1016/j.jtrangeo.2023.103530
20

Kim J., Jang K., Shim J. (2024), Factors Influencing Bus-to-Subway Transfer Duration at Subway Stations: Evidence From Large-Scale Smart Card Data in Seoul, Journal of Transport Geography, 120, 103969.

10.1016/j.jtrangeo.2024.103969
21

Klar B., Lee J., Long J. A., Diab E. (2023), The Impacts of Accessibility Measure Choice on Public Transit Project Evaluation: A Comparative Study of Cumulative, Gravity-Based, and Hybrid Approaches, Journal of Transport Geography, 106, 103508.

10.1016/j.jtrangeo.2022.103508
22

Korea Development Institute (2005), Preliminary Feasibility Study on the Sosa-Daegok Double-Track Railway Construction Project (소사~대곡 복선전철 건설 사업 예비 타당성조사).

23

Korea Railroad Corporation, https://www.korail.com, 2026.02.09.

24

Lei T. L., Church R. L. (2010), Mapping Transit-Based Access: Integrating GIS, Routes and Schedules, International Journal of Geographical Information Science, 24(2), 283-304.

10.1080/13658810902835404
25

Liu S., Yao E., Li B. (2019), Exploring Urban Rail Transit Station-Level Ridership Growth With Network Expansion, Transportation Research Part D: Transport and Environment, 73, 391-402.

10.1016/j.trd.2018.04.006
26

Mejia-Dorantes L., Paez A., Vassallo J. M. (2012), Transportation Infrastructure Impacts on Firm Location: The Effect of a New Metro Line in the Suburbs of Madrid, Journal of Transport Geography, 22, 236-250.

10.1016/j.jtrangeo.2011.09.006
27

Meng Y., Qi Q., Liu J., Zhou W. (2022), Dynamic Evolution Analysis of Complex Topology and Node Importance in Shenzhen Metro Network From 2004 to 2021, Sustainability, 14(12), 7234.

10.3390/su14127234
28

Pogonyi C. G., Graham D. J., Carbo J. M. (2021), Metros, Agglomeration and Displacement: Evidence From London, Regional Science and Urban Economics, 90, 103681.

10.1016/j.regsciurbeco.2021.103681
29

Saghapour T., Moridpour S., Thompson R. G. (2016), Public Transport Accessibility in Metropolitan Areas: A New Approach Incorporating Population Density, Journal of Transport Geography, 54, 273-285.

10.1016/j.jtrangeo.2016.06.019
30

Salonen M., Toivonen T. (2013), Modelling Travel Time in Urban Networks: Comparable Measures for Private Car and Public Transport, Journal of Transport Geography, 31, 143-153.

10.1016/j.jtrangeo.2013.06.011
31

Sánchez-Mateos H. S. M., Givoni M. (2012), The Accessibility Impact of a New High-Speed Rail Line in the UK: A Preliminary Analysis of Winners and Losers, Journal of Transport Geography, 25, 105-114.

10.1016/j.jtrangeo.2011.09.004
32

Senousi A. M., Ahmed W., Baraka M., Atef I., Darwish W. (2023), Leveraging Network Analysis to Understand Centralities of the Cairo Metro System Enhancing Transportation Planning and Management in Cairo, 2023 2nd International Conference on Smart Cities 4.0, IEEE, 518-521.

10.1109/SmartCities4.056956.2023.10526148
33

Tiznado-Aitken I., Lucas K., Muñoz J. C., Hurtubia R. (2020), Understanding Accessibility Through Public Transport Users’ Experiences: A Mixed Methods Approach, Journal of Transport Geography, 88, 102857.

10.1016/j.jtrangeo.2020.102857
34

Toledano J. S., Monedero B. D., Flores-Ureba S., de Blas C. S. (2025), The Efficiency of Urban Public Transport and Its Impact on Environmental Sustainability, Sustainable Technology and Entrepreneurship, 4(2), 100097.

10.1016/j.stae.2025.100097
35

Wachs M., Kumagai T. G. (1973), Physical Accessibility as a Social Indicator, Socio-Economic Planning Sciences, 7(5), 437-456.

10.1016/0038-0121(73)90041-4
Information
  • Publisher :Korean Society of Transportation
  • Publisher(Ko) :대한교통학회
  • Journal Title :Journal of Korean Society of Transportation
  • Journal Title(Ko) :대한교통학회지
  • Volume : 44
  • No :3
  • Pages :457-481
  • Received Date : 2026-02-10
  • Revised Date : 2026-02-23
  • Accepted Date : 2026-03-03
  • DOI :https://doi.org/10.7470/jkst.2026.44.3.457
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