Data-Driven Modeling of Demand-Responsive Transit: Evaluating Sustainability Across Urban, Rural, and Intercity Scenarios

Yunxi Zhang, Linjie Gao, Zhao Xu, Anning Ni · 2025 · Systems

Summary. This paper develops a framework for evaluating demand-responsive transit (DRT) systems—flexible public transportation that adjusts routes based on passenger demand—across urban, rural, and intercity settings. The authors synthesize research using bibliometric analysis and scenario-based modeling to show that rural DRT pilots improve resilience despite cost pressures, urban systems prioritize scheduling efficiency, and intercity services require multimodal coordination. The framework integrates economic, environmental, and social sustainability dimensions to guide policy decisions.

Read the original

Cite this article

Zhang, Y., Gao, L., Xu, Z., & Ni, A.. (2025). Data-Driven Modeling of Demand-Responsive Transit: Evaluating Sustainability Across Urban, Rural, and Intercity Scenarios. Systems. https://doi.org/10.3390/systems13121080

@article{zhang-2025-data-driven-modeling-demand-responsive,
  title   = {Data-Driven Modeling of Demand-Responsive Transit: Evaluating Sustainability Across Urban, Rural, and Intercity Scenarios},
  author  = {Yunxi Zhang and Linjie Gao and Zhao Xu and Anning Ni},
  journal = {Systems},
  year    = {2025},
  doi     = {10.3390/systems13121080},
  url     = {https://doi.org/10.3390/systems13121080}
}

TY  - JOUR
TI  - Data-Driven Modeling of Demand-Responsive Transit: Evaluating Sustainability Across Urban, Rural, and Intercity Scenarios
AU  - Yunxi Zhang
AU  - Linjie Gao
AU  - Zhao Xu
AU  - Anning Ni
JO  - Systems
PY  - 2025
DO  - 10.3390/systems13121080
UR  - https://doi.org/10.3390/systems13121080
ER  -

Details

DOI: 10.3390/systems13121080
Countries: China
Regions: Asia
Categories: transportation, rural-data-and-definitions
Added: 2026-04-28