Using Big Taxi GPS Data to Investigate Feasibility of Electric Taxis in Thessaloniki, Greece

The rapidly increasing development of electric vehicles’ market has enabled more and more cities worldwide to adopt electromobility in public transport as a way to create a more friendly and healthy urban environment for their citizens. Among them, taxis are the main candidates for replacement with electric ones, considering the fact that they make long distance and long lasting trips on a daily basis inside and outside of the urban fabric, burdening the atmosphere with hazardous substances resulting from current diesel and petrol car engines. Electric taxi systems have already been deployed in many cities of Europe, Asia and America. This paper presents the implementation of a methodological framework to investigate the feasibility of electric taxis in Thessaloniki, Greece using big taxi GPS data to understand their operation and driving patterns. The weak battery autonomy of the electric vehicles can be a huge barrier for taxis’ activity since today they operate for a long time without a range restriction. The results of the analysis however indicate that more than half of the examined taxi fleet could be replaced with electric vehicles, since the daily distance that they travel could be covered with the existing electric models with just one charging and that taxis have the required break time for charging during the day

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AP060 Standing Committee on Paratransit.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Chrysostomou, Katerina
    • Georgakis, Athanasios
    • Morfoulaki, Maria
    • Kotoula, Kornilia
    • Myrovali, Glykeria
  • Conference:
  • Date: 2016

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 12p
  • Monograph Title: TRB 95th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01592894
  • Record Type: Publication
  • Report/Paper Numbers: 16-3467
  • Files: TRIS, TRB, ATRI
  • Created Date: Mar 7 2016 10:46AM