Statistical analysis of the Metropolitan Seoul Subway System: Network structure and passenger flows

2008/05/12 by Keumsook Lee, Woo‐Sung Jung, Woo-Sung Jung +2 · 162 citations
Engineering · Mathematics · Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Complex network #Computer science #Degree distribution #Distribution (mathematics) #Electrical engineering #Engineering #Flow network #Geography #Human Mobility and Location-Based Analysis #Mathematics #Metropolitan area #Mode (computer interface) #Public transport #Statistical analysis #Statistics #Topology (electrical circuits) #Transport engineering #Transportation Planning and Optimization #physics.soc-ph

paper · pdf · doi:10.1016/j.physa.2008.06.035

published in Physica A Statistical Mechanics and its Applications 387(24), 6231-6234 (Elsevier BV) · 10 pages, 4 figures

arxiv created 2008/05/12 · openalex publication_date 2008/07/03 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

The Metropolitan Seoul Subway system, consisting of 380 stations, provides the major transportation mode in the metropolitan Seoul area. Focusing on the network structure, we analyze statistical properties and topological consequences of the subway system. We further study the passenger flows on the system, and find that the flow weight distribution exhibits a power-law behavior. In addition, the degree distribution of the spanning tree of the flows also follows a power law.

Citations

• Emergence of scaling in random networks
• Analysis of the airport network of India as a complex weighted network
• Statistical analysis of airport network of China
• Mean-field theory for scale-free random networks
• The worldwide air transportation network: Anomalous centrality, community structure, and cities' global roles
• The Structure and Function of Complex Networks
• The architecture of complex weighted networks
• Gravity model in the Korean highway
• Stations, trains and small-world networks