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Heuristic-Based Journey Planner for Mobility as a Service (MaaS)

Author

Listed:
  • Panagiotis Georgakis

    (School of Architecture and the Built Environment, University of Wolverhampton, Wolverhampton WV10 0JP, UK)

  • Adel Almohammad

    (School of Architecture and the Built Environment, University of Wolverhampton, Wolverhampton WV10 0JP, UK)

  • Efthimios Bothos

    (Institute of Computer and Communication Systems, National Technical University of Athens, 157 80 Athens, Greece)

  • Babis Magoutas

    (Institute of Computer and Communication Systems, National Technical University of Athens, 157 80 Athens, Greece)

  • Kostantina Arnaoutaki

    (Institute of Computer and Communication Systems, National Technical University of Athens, 157 80 Athens, Greece)

  • Gregoris Mentzas

    (Institute of Computer and Communication Systems, National Technical University of Athens, 157 80 Athens, Greece)

Abstract

The continuing growth of urbanisation poses a real threat to the operation of transportation services in large metropolitan areas around the world. As a response, several initiatives that promote public transport and active travelling have emerged in the last few years. Mobility as a Service (MaaS) is one such initiative with the main goal being the provision of a holistic urban mobility solution through a single interface, the MaaS operator. The successful implementation of MaaS requires the support of a technology platform for travellers to fully benefit from the offered transport services. A central component of such a platform is a journey planner with the ability to provide trip options that efficiently integrate the different modes included in a MaaS scheme. This paper presents a heuristic that implements a scenario-based journey planner for users of MaaS. The proposed heuristic provides routes composed of different modes including private cars, public transport, bike-sharing, car-sharing and ride-hailing. The methodological approach for the generation of journeys is explained and its implementation using a microservices architecture is presented. The implemented system was trialled in two European cities and the analysis of user satisfaction results reveal good overall performance.

Suggested Citation

  • Panagiotis Georgakis & Adel Almohammad & Efthimios Bothos & Babis Magoutas & Kostantina Arnaoutaki & Gregoris Mentzas, 2020. "Heuristic-Based Journey Planner for Mobility as a Service (MaaS)," Sustainability, MDPI, vol. 12(23), pages 1-25, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:10140-:d:456856
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    References listed on IDEAS

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    3. Jaroslav Mašek & Vladimíra Štefancová & Jaroslav Mazanec & Petra Juránková, 2023. "The Classification of Application Users Supporting and Facilitating Travel Mobility Using Two-Step Cluster Analysis," Mathematics, MDPI, vol. 11(9), pages 1-16, May.
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    5. Katarzyna Solecka & Marcin Kiciński, 2022. "A Multi-Criteria Evaluation of Applications Supporting Public Transport Users," Energies, MDPI, vol. 15(10), pages 1-25, May.

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