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Evaluation of Public Transportation System through Social Network Analysis Approach

Jahun Koo, Gyeongjae Lee, Sujae Kim and Sangho Choo ()
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Jahun Koo: Department of Urban Planning, Hongik University, Seoul 04066, Republic of Korea
Gyeongjae Lee: Department of Urban Planning, Hongik University, Seoul 04066, Republic of Korea
Sujae Kim: Department of Urban Design & Planning, Hongik University, Seoul 04066, Republic of Korea
Sangho Choo: Department of Urban Design & Planning, Hongik University, Seoul 04066, Republic of Korea

Sustainability, 2024, vol. 16, issue 16, 1-21

Abstract: In response to the phenomenon of global warming, the transportation sector aims to mitigate carbon emissions by promoting the use of public transportation. This study employs social network analysis to propose effective improvements to the public transportation system, focusing on bus stop locations and route networks in Hwaseong City, South Korea. Two networks were constructed based on existing public transportation routes and usage data at each bus stop. The findings and implications are as follows: Analyzing the public transportation network from a network perspective can effectively contribute to improving the public transportation network route system. By evaluating centrality and brokerage for the existing routes, it is possible to identify inefficient routes and develop efficient route modification plans. Based on actual usage patterns, excessive bus supply and unnecessary bus stop locations can be identified, allowing for the establishment of appropriate operational plans. This can lead to improved operational efficiency and cost savings. Rational route design and operational planning can enhance public transportation services and promote increased use of public transportation. Ultimately, this contributes to sustainable development through carbon reduction in the transportation sector.

Keywords: brokerage; centrality; public transportation; social network analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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