Identifying the Multimodal Hierarchy of Public Transit Systems Using Trip Chain Data

Junhee Lee, Seungmo Kang, Jinwoo Lee

Published: 2025/9/29

Abstract

As urban mobility integrates traditional and emerging modes, public transit systems are becoming increasingly complex. Some modes complement each other, while others compete, influencing users' multimodal itineraries. To provide a clear, high-level understanding of these interactions, we introduce the concept of a macroscopic multimodal hierarchy. In this framework, trips follow an "ascending-descending" order, starting and ending with lower hierarchical modes (e.g., walking) that offer high accessibility, while utilizing higher modes (e.g., subways) for greater efficiency. We propose a methodology to identify the multimodal hierarchy of a city using multimodal smart card trip chain data and demonstrate its application with actual data collected from Seoul and the surrounding metropolitan area in South Korea.

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