A multi-view of the daily urban rhythms of human mobility in the Tokyo metropolitan area

The purpose of this study was to clarify the spatiotemporal structure of human mobility patterns in the Tokyo metropolitan area (TMA), and to reveal the regional characteristics and differences of dynamic mobility behaviour therein, from the individual, location, and time-use perspectives. Furthermore, this study aimed to describe daily urban rhythms in terms of human mobility. For these purposes, the authors constructed a GIS microscope by handling a geo-tagged big data based on the person-trip data. Through a multi-view study, it was affirmed that the spatiotemporal mobility patterns had a certain consistency at different scales. Results suggested that the human mobility patterns expressed a typical inter-regional functional complementarity and a certain daily rhythm under the layout of TMA’s quadruple concentric ring structure. By grasping the multidimensional dynamic pattern of human behaviour, researchers, the general public, and policymakers can be brought into alignment towards the goal of sustainable urban planning.

• Record URL:
  • https://doi.org/10.1016/j.jtrangeo.2021.102985
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0966692321000387
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09666923
• Supplemental Notes:
  • © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Liu, Kai
  • Murayama, Yuji
  • Ichinose, Toshiaki
• Publication Date: 2021-2

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References;
• Serial:
  • Journal of Transport Geography
  • Volume: 91
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0966-6923
  • Serial URL: http://www.elsevier.com/locate/jtrangeo

Subject/Index Terms

• TRT Terms: Behavior; City planning; Mobility; Travel patterns; Urban areas
• Geographic Terms: Tokyo Metropolitan Area (Japan)
• Subject Areas: Planning and Forecasting; Safety and Human Factors; Transportation (General);

Filing Info

• Accession Number: 01766395
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 2 2021 1:36PM