The Application of ETC2.0 Probe Data and Network Clustering in Investigating Urban Mobility Patterns During an Extreme Snow Event

Abstract

Implementing the Vehicle-to-Infrastructure with the upgraded electronic toll collection systems (ETC2.0) has transformed Japan's transportation infrastructure by elevating it into one of the foremost Intelligent Transport Systems. Despite the wealth of data provided by ETC2.0, its application in studying urban mobility patterns under extreme weather conditions remains limited. This study examines the impact of heavy snowfall on the mobility network in Sapporo, Japan, using ETC2.0 probe data. By comparing mobility patterns on selected heavy snow and normal days in February 2022, the study identifies significant changes in network structure and community distribution. Findings reveal that heavy snowfall causes fragmentation of mobility networks, with notable shifts in community locations and node centrality. The study underscores the importance of maintaining connectivity to industrial and commercial areas during extreme weather events and highlights the need for further research into the relationship between community structures and travel behavior.journal articl