Passively generated big data for micro-mobility: State-of-the-art and future research directions

The sharp rise in popularity of micro-mobility poses significant challenges in terms of ensuring its safety, addressing its social impacts, mitigating its environmental effects, and designing its systems. Meanwhile, micro-mobility is characterised by its richness in passively generated big data that has considerable potential to address the challenges. Despite an increase in recent literature utilising passively generated micro-mobility data, knowledge and findings are fragmented, limiting the value of the data collected. To fill this gap, this article provides a timely review of how micro-mobility research and practice have exploited passively generated big data and its applications to address major challenges of micro-mobility. Despite its clear advantages in coverage, resolution, and the removal of human errors, passively generated big data needs to be handled with consideration of bias, inaccuracies, and privacy concerns. The paper also highlights areas requiring further research and provides new insights for safe, efficient, sustainable, and equitable micro-mobility.

• Record URL:
  https://doi.org/10.1016/j.trd.2023.103795
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S136192092300192X
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2023 The Authors. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Schumann, Hans-Heinrich
  • Haitao, He
  • Quddus, Mohammed
• Publication Date: 2023-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 103795
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 121
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Data collection; Micromobility; Passenger transportation; Research; Shared mobility; State of the art
• Subject Areas: Data and Information Technology; Highways; Research;

Filing Info

• Accession Number: 01886861
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 30 2023 11:28AM