English

Identifying the Multimodal Hierarchy of Public Transit Systems Using Itinerary Data

Computational Engineering, Finance, and Science 2025-10-15 v2

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 itinerary data and demonstrate its application with actual data collected from Seoul and the surrounding metropolitan area in South Korea.

Keywords

Cite

@article{arxiv.2509.24220,
  title  = {Identifying the Multimodal Hierarchy of Public Transit Systems Using Itinerary Data},
  author = {Junhee Lee and Seungmo Kang and Jinwoo Lee},
  journal= {arXiv preprint arXiv:2509.24220},
  year   = {2025}
}