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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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The bi-objective multimodal car-sharing problem.

Miriam Enzi1,2, Sophie N Parragh1, Jakob Puchinger3,4

  • 1Institute of Production and Logistics Management, Johannes Kepler University Linz, Linz, Austria.

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Summary
This summary is machine-generated.

This study optimizes multimodal car-sharing by balancing cost and user satisfaction. A novel branch-and-cut algorithm enhances efficiency for complex routing and time-dependent preferences in shared mobility.

Keywords:
Bi-objectiveBranch and cutCar-sharingMobilityTransportation

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Area of Science:

  • Operations Research
  • Transportation Science
  • Computer Science

Background:

  • Shared mobility systems are increasingly important for urban transportation.
  • Balancing operational costs with user satisfaction is a key challenge in car-sharing.
  • User preferences and dynamic conditions significantly impact system efficiency.

Purpose of the Study:

  • To address the bi-objective multimodal car-sharing problem (BiO-MMCP) from a user-centric perspective.
  • To minimize costs and maximize user satisfaction by optimizing transport mode assignment and vehicle/user routing.
  • To investigate variants including time-dependent travel times, user preferences, and complex routing decisions.

Main Methods:

  • Development of a branch-and-cut algorithm for the most complex variant (Variant 4).
  • Integration of the algorithm within two bi-objective frameworks: the epsilon-constraint method and a weighting binary search method.
  • Computational experiments to compare the algorithm's performance against Mixed Integer Programming (MIP) formulations.

Main Results:

  • The developed branch-and-cut algorithm demonstrates superior performance compared to traditional MIP formulations.
  • Analysis of the Pareto frontier reveals insights into the trade-offs between cost minimization and user satisfaction.
  • The study successfully models and solves complex scenarios with time-dependent factors and routing flexibility.

Conclusions:

  • The proposed branch-and-cut approach offers an effective solution for the BiO-MMCP.
  • Incorporating user preferences and dynamic conditions is crucial for advanced shared mobility systems.
  • The findings provide valuable insights for designing more efficient and user-friendly car-sharing platforms.