Analysis of the temporal characteristics of the elderly traveling by bus using smart card data

Zhicheng Shi, Lilian S.C. Pun-Cheng, Xintao Liu, Jianhui Lai, Chengzhuo Tong, Anshu Zhang, Min Zhang, Wenzhong Shi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)


Many cities around the world face the challenge of an aging population. A full understanding of the mobility behavior characteristics of the elderly is one necessary and urgent consideration as regards the current aging trend if sustainable urban development is to be fully realized. This paper presents a systematic approach to analyzing the dynamic mobility characteristics of the elderly who travel by bus using smart card big data. The characteristics include temporal distribution, travel distance, travel duration, travel frequency, and also the spatial distribution of such travelers. The findings of these mobility characteristics can directly contribute to both public transport policy making, service, and management. In this study, the analytics of the elderly are also compared with that of the average adult group so as to identify both the similarities and differences between the two groups. Beijing, a megacity, with a very high life expectancy and in which the bus is the dominant mode of public transport for the elderly, was used as the study area. The significance of this research concerns a newly developed systematic approach that is able to analyze the dynamic mobility characteristics of the elderly using smart card data.

Original languageEnglish
Article number751
JournalISPRS International Journal of Geo-Information
Issue number12
Publication statusPublished - Dec 2020


  • Elderly mobility
  • Public transport
  • Smart card data
  • Spatiotemporal analytics

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Computers in Earth Sciences
  • Earth and Planetary Sciences (miscellaneous)


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