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Extending Micromobility Deployments: A Concept and Local Case Study

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Advances in Data Science and Information Engineering

Abstract

Micromobility is a recent phenomenon that refers to the use of small human- or electric-powered vehicles such as scooters and bikes to travel short distances, and sometimes to connect with other modes of transportation such as bus, train, or car. Deployments in major cities of the world have been both successful and challenging. This paper reviews the evolution of micromobility services from shared bicycles, dockless systems, and shared electric scooters. The authors evaluated benefits, deficiencies, and factors in adoption to inform more rigorous and extensive geospatial analysis that will examine intersections with land-use, public transit, socio-economic demographics, road networks, and traffic. This work conducted exploratory spatial data analysis and correlation of publicly available datasets on land use, trip production, traffic, and travel behavior. Data from Washington D.C. served as a case study of best practices for scaling deployments to meet the social, economic, and mobility needs of the city.

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Authors and Affiliations

  1. Department of Transportation, Logistics, & Finance, North Dakota State University, Fargo, ND, USA

    Zhila Dehdari Ebrahimi, Raj Bridgelall & Mohsen Momenitabar

Authors
  1. Zhila Dehdari Ebrahimi
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  2. Raj Bridgelall
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  3. Mohsen Momenitabar
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Corresponding author

Correspondence to Zhila Dehdari Ebrahimi .

Editor information

Editors and Affiliations

  1. HBS – Hamburg Business School, Institute of Information Systems, University of Hamburg, Hamburg, Hamburg, Germany

    Robert Stahlbock

  2. Department of Computer & Information Science, Fordham University, New York, NY, USA

    Gary M. Weiss

  3. College of Engineering & Computer Science, University of Michigan-Dearborn, Dearborn, MI, USA

    Mahmoud Abou-Nasr

  4. Department of Computer Science, University of Taipei, Taipei City, Taiwan

    Cheng-Ying Yang

  5. Department of Computer Science, University of Georgia, Athens, GA, USA

    Hamid R. Arabnia

  6. School of Computing and Data Sciences, Wentworth Institute of Technology, Boston, MA, USA

    Leonidas Deligiannidis

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Dehdari Ebrahimi, Z., Bridgelall, R., Momenitabar, M. (2021). Extending Micromobility Deployments: A Concept and Local Case Study. In: Stahlbock, R., Weiss, G.M., Abou-Nasr, M., Yang, CY., Arabnia, H.R., Deligiannidis, L. (eds) Advances in Data Science and Information Engineering. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-71704-9_19

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