Statistical Analysis of the Metropolitan Seoul Subway System: Network Structure and Passenger Flows

TL;DR

This paper analyzes the Seoul subway network's structure and passenger flows, revealing power-law distributions in flow weights and network topology, which enhances understanding of urban transit systems.

Contribution

It provides a detailed statistical and topological analysis of the Seoul subway system, highlighting power-law behaviors in passenger flows and network structure.

Findings

Flow weight distribution follows a power-law.

Degree distribution of the spanning tree follows a power-law.

Network exhibits scale-free properties.

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.