KANG, MINJI (University of Seoul), Park, Hyun Su (University of Seoul), Park, Shin Hyoung (University of Seoul), Cho, Shin-Hyung (University of Seoul)

Route Choice Behavior Analysis for Long-Distance Travel Considering Heterogeneity among Electric Vehicle Drivers

Scheduled for presentation during the Invited Session "S21a-Energy-Efficient Connected Mobility" (TH-LM-T21), Thursday, November 20, 2025, 11:50−12:10, Surfers Paradise 3

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 18, 2025

Abstract

The rapid growth in electric vehicle (EV) adoption necessitates understanding how EV drivers' route choice behavior differs from conventional vehicle drivers, particularly for long-distance travel. This study examines how charging infrastructure accessibility, environmental consciousness, and range anxiety influence route choices through a comparative analysis of EV and conventional vehicle drivers. Using a stated preference (SP) survey with a D-efficient design, we investigate route choice preferences for trips exceeding 100km. The survey incorporates various attributes including route type, charging/refueling station accessibility, traffic flow, and emission levels. The survey distinguishes environmental factors and infrastructure accessibility, allowing for direct comparison between EV and conventional vehicle scenarios. The choice data was analyzed using a multinomial logit model. Results indicate that travel cost demonstrates a significant negative impact on route choice, while charging station density shows varying effects depending on traffic conditions. This research contributes to the literature in three ways: first, examining infrastructure accessibility patterns and environmental consciousness in route selection while accounting for vehicle-specific characteristics; second, providing empirical evidence of how charging infrastructure density affects route choice differently between EV and conventional vehicle drivers; and third, quantifying the relationship between environmental consciousness and actual route choice behavior. The findings will advance our theoretical understanding of heterogeneous route choice behaviors and provide empirical evidence for optimizing charging infrastructure deployment in the transition to zero-emission mobility.