๐ Research Status & Connection
This manuscript is currently under review in a top-tier SSCI-indexed journal. It represents a significantly matured version of the initial research presented at an academic conference.
- Status: Under Review (SSCI)
- Progress: Following the oral presentation at the 2023 KSOI Fall Conference, the paper was extensively revised and expanded by incorporating diverse feedback from experts and peers.
๐ Research Overview
To simulate the future of mobility markets, this study focuses on the demand-side response to Mobility as a Service (MaaS). By decoding how human choices adapt to integrated transportation paradigms, the research provides the behavioral intelligence necessary to forecast market dynamics.
โ๏ธ Methodology
To analyze these behavioral shifts, the study employs a robust data-driven methodology:
- Consensus Clustering: Segments the mobility market based on actual daily travel frequencies, providing a more stable classification than traditional single-algorithm methods.
- 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.