Journal article Open Access

On the adoption of e-moped sharing systems

Stefano Fiorini; Michele Ciavotta; Sagar Joglekar; Sanja Šćepanović; Daniele Quercia

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  <identifier identifierType="URL"></identifier>
      <creatorName>Stefano Fiorini</creatorName>
      <creatorName>Michele Ciavotta</creatorName>
      <creatorName>Sagar Joglekar</creatorName>
      <creatorName>Sanja Šćepanović</creatorName>
      <creatorName>Daniele Quercia</creatorName>
    <title>On the adoption of e-moped sharing systems</title>
  <publisher>INFN Open Access Repository</publisher>
    <subject>Computational Mathematics</subject>
    <subject>Computer Science Applications</subject>
    <subject>Modeling and Simulation</subject>
    <date dateType="Issued">2022-07-30</date>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1140/epjds/s13688-022-00358-2</relatedIdentifier>
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    <rights rightsURI="">Creative Commons Attribution 4.0</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">AbstractRecent years have witnessed the emerging of novel shared mobility solutions that provide diffused on-demand access to transportation. The widespread adoption of these solutions, particularly electric mopeds (e-mopeds), is expected to bring important benefits such as the reduction of noise and atmospheric pollution, and road congestion, with extensive repercussions on liveability and quality of life in urban areas. Currently, almost no effort has been devoted to exploring the adoption patterns of e-moped sharing services, therefore, optimal management and allocation of vehicles appears to be a problem for service managers. In this study, we tried to demonstrate the validity of the hypothesis that the adoption of electric mopeds depends on the built environment and demographic aspects of each neighbourhood. In detail, we singled out three features concerning the area characteristics (distance from centre, walkability, concentration of places) and one about the population (education index). The results obtained on a real world case study show the strong impact these factors have in determining the adoption of e-moped sharing services. Finally, an analysis was conducted on the possible role that the electric moped sharing can play in social equalization by studying the interactions between rich and poor neighbourhoods. The results of the analyses conducted indicate that communities within a city tend to aggregate by wealth and isolate themselves from one another (social isolation): very few interactions, in terms of trajectories, have been observed between the richest and poorest areas of the city under study.</description>
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