[In Press] Predicting Consumer Travel Behavior in the MaaS Era

Research Status & Connection

This manuscript is in press. It extends the initial research presented at an academic conference.

• Status: In Press
• Progress: Following the oral presentation at the 2023 KSOI Fall Conference, the paper was revised and expanded by incorporating feedback from experts and peers before acceptance for publication.

Research Overview

This study focuses on the demand-side response to Mobility as a Service (MaaS). By examining how travel choices may adapt to integrated transportation services, the research supports demand-side analysis of mobility market change.

Methodology

To analyze these behavioral shifts, the study employs a data-driven methodology:

1. Consensus Clustering: Segments the mobility market based on actual daily travel frequencies, providing a more stable classification than traditional single-algorithm methods.
2. Behavioral Inference: Predicts the probability of mode shifts (e.g., from private cars to shared mobility) using discrete choice modeling and statistical verification.

For the foundational model and initial presentation details, please refer to the Conference Presentation Archive.