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Towards the achievement of climate neutrality in the cities, the GHG emissions in transport are expected to be reduced by 90% until 2050, while the acceleration of the introduction of innovative mobility services enabled by digital platforms in the cities facilitate the achievement of the goal. The development of an integrated e-service for vehicle sharing would assist cities towards climate neutrality and digital transition. The integrated e-service aims to assist the management and the use of shared e-vehicles and consisted of both web service application and business intelligence platform for data analysis. Through the collection and analysis of data derived from both vehicles and rental system, the data analytics platform offers decision support tools based on machine learning algorithms.

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Data-Analytics Tool for Facilitating the Use and Decision Making for e-car Sharing Service

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Afroditi Stamelou,
  • Vasileios Mizaras,
  • Georgia Ayfantopoulou,
  • Alexandros Siomos,
  • Zisis Maleas,
  • Josep Maria Salanova Grau

摘要

Towards the achievement of climate neutrality in the cities, the GHG emissions in transport are expected to be reduced by 90% until 2050, while the acceleration of the introduction of innovative mobility services enabled by digital platforms in the cities facilitate the achievement of the goal. The development of an integrated e-service for vehicle sharing would assist cities towards climate neutrality and digital transition. The integrated e-service aims to assist the management and the use of shared e-vehicles and consisted of both web service application and business intelligence platform for data analysis. Through the collection and analysis of data derived from both vehicles and rental system, the data analytics platform offers decision support tools based on machine learning algorithms.