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Developing a Multilevel Decision Support Tool for Urban Mobility

Author

Listed:
  • Josep Maria Salanova

    (Hellenic Institute of Transport, Centre for Research and Technology Hellas, 6th km Charilaou-Thermi Rd., 57001 Thessaloniki, Greece)

  • Georgia Ayfantopoulou

    (Hellenic Institute of Transport, Centre for Research and Technology Hellas, 6th km Charilaou-Thermi Rd., 57001 Thessaloniki, Greece)

  • Evripidis Magkos

    (Hellenic Institute of Transport, Centre for Research and Technology Hellas, 6th km Charilaou-Thermi Rd., 57001 Thessaloniki, Greece)

  • Ioannis Mallidis

    (Hellenic Institute of Transport, Centre for Research and Technology Hellas, 6th km Charilaou-Thermi Rd., 57001 Thessaloniki, Greece)

  • Zisis Maleas

    (Hellenic Institute of Transport, Centre for Research and Technology Hellas, 6th km Charilaou-Thermi Rd., 57001 Thessaloniki, Greece)

  • Santhanakrishnan Narayanan

    (TUM School of Engineering and Design, Technical University of Munich, Arcisstraße 21, 80333 München, Germany)

  • Constantinos Antoniou

    (TUM School of Engineering and Design, Technical University of Munich, Arcisstraße 21, 80333 München, Germany)

  • Athina Tympakianaki

    (Aimsun SLU, Ronda Universitat, 22 B, 08007 Barcelona, Spain)

  • Ignacio Martin

    (Nommon Solutions and Technologies S.L., Plaza de Carlos Trias Bertrán 4, 2nd Floor, 28020 Madrid, Spain)

  • Jenny Fajardo-Calderin

    (Deusto Institute of Technology (DeustoTech), Faculty of Engineering, University of Deusto, 48007 Bilbao, Spain)

Abstract

Decisions on transport policy measures have long-term and important impacts on the economy, environment and society. Transport policy measures can lock up capital for decades and cause manifold external effects. In order to allow policymakers to evaluate transport policies, the developed decision support tool facilitates the evaluation of the multidimensional impacts of the implementation of transport policies. The objective of the decision support toolset presented in this paper is to support transportation planning and design practices based on an integrated transportation analysis of the area of examination to determine the most applicable combination of mobility services. This paper provides a comprehensive description of the interactive decision support tool implemented to help cities and decision makers design their strategies and shape the urban mobility of the future.

Suggested Citation

  • Josep Maria Salanova & Georgia Ayfantopoulou & Evripidis Magkos & Ioannis Mallidis & Zisis Maleas & Santhanakrishnan Narayanan & Constantinos Antoniou & Athina Tympakianaki & Ignacio Martin & Jenny Fa, 2022. "Developing a Multilevel Decision Support Tool for Urban Mobility," Sustainability, MDPI, vol. 14(13), pages 1-19, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7764-:d:847873
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    References listed on IDEAS

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