Modal Shift and Shared Automated Demand-Responsive Transport: A Case Study of Jerusalem

Golan Ben-Dor, Aleksey Ogulenko, Ido Klein, Itzhak Benenson

Research output: Contribution to journalConference articlepeer-review

Abstract

By definition, the Mobility-as-a-Service (MaaS) system integrates transportation modes of very different flexibility - taxis, buses, light rail, ride-hailing. MaaS major unknown is the effectiveness of the ride-sharing modes. We employ a calibrated and validated MATSim multi-modal traffic model of the Jerusalem Metropolitan Area (JMA) to assess the introduction of Shared Autonomous Vehicles (SAV), as a possible game-changer of the existing equilibrium between the Public Transport (PT) and private cars. First, we confirm the recent empirical observations that ride-sharing modes mostly attract PT users, while their attractiveness for private car users is relatively low. Second, we investigate the problem of preserving travelers' flows to the Jerusalem center while reducing personal car use. For this purpose, we investigate the effect of parking prices and congestion charges in the system with the additional SAV fleet that serves trips to-and-from the center of the city. We propose a balanced set of carrot-and-stick measures to enforce a sustainable modal shift in JMA towards the use of PT and SAV service.

Original languageEnglish
Pages (from-to)581-586
Number of pages6
JournalProcedia Computer Science
Volume201
Issue numberC
DOIs
StatePublished - 2022
Event13th International Conference on Ambient Systems, Networks and Technologies, ANT 2022 / 5th International Conference on Emerging Data and Industry 4.0, EDI40 2022 - Porto, Portugal
Duration: 22 Mar 202225 Mar 2022

Keywords

  • Agent-Based Simulation
  • Congestion pricing
  • MATSim
  • SAV
  • parking pricing

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