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May 17, 2026IET Intelligent Transport SystemsOpen Access

Pricing and Scheduling for Hybrid Demand Responsive Transit System With Mixed Services and Passenger Preference

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Authors

JRJingxuan RenWJWenzhou Jin

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Overview

Randomized trial demonstrates effective pricing and scheduling in hybrid demand-responsive transit systems, suggesting improved passenger access and system efficiency.

Key Points

  • This research aims to optimize pricing and scheduling for a hybrid demand-responsive transit (DRT) system that balances individual preferences with collective efficiency.
  • Developed a user classification-based mode choice model to capture passenger preferences.
  • Implemented a hybrid distance-and-service-quality-based pricing strategy within a mixed-integer programming model.
  • Applied a multi-start variable neighbourhood simulated annealing algorithm to solve the optimization problem.
  • The hybrid fare structure improved cost recovery while enhancing service accessibility for users.
  • The MSVNSA algorithm outperformed benchmark metaheuristics in solution quality and convergence stability.
  • Sensitivity analyses indicated that variations in passenger time valuation significantly impact optimal pricing strategies.

Cite This Study

Ren et al. (2026) studied this question.

synapsesocial.com/papers/6a095c6d7880e6d24efe2932https://doi.org/10.1049/itr2.70236
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Also Consider

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  1. 1Quality-Demand Feedback in Hybrid Demand-Responsive Transit: Insights from a Parametric Agent-Based Model2026
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  5. 5Ridepooling and Public Transit: How Pricing Schemes Reveal the Tradeoff between Intermodality and On-Demand Efficiency2025 · 1 citations