An Approach to Analyze Human Activity Patterns Based on Cellular Phone Data: A Case Study of Jinhe New Town in Shanghai

In the urbanization process of big cities in China, the rise of satellite towns, the migration of manufacturing and the relocation of residents to the suburban areas have accelerated the separation between workplace and residence and brought enormous changes to the activity patterns of Chinese cities. In this paper, the authors propose a novel and data-driven method of extracting individuals’ daily activities and identifying “anchor points” (home and workplace) from mobile phone data and survey data, and apply it to the Jinhe new town. People in study area are classified into three groups, and use time-geographic concept to depict individual activity pattern of each group. Furthermore, the authors focus on the residents with obviously separated home and workplace caused by suburbanization. For representing the cluster of these people’s activities in space-time, kernel density estimation is used to detect the intensity in space-time. The activity density profile facilitates finding the spatio-temporal characteristic of the demand deriving from suburban residents. The study shows that mobile phone data allows analyzing human activity pattern in space-time at very detailed scale but also require other data resources for comprehensiveness and visualization of all people across the city.

• Record URL:
  https://doi.org/10.1061/9780784479292.326
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784479292
• Supplemental Notes:
  • © 2015 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Cheng, Xiaoyun
  • Li, Weifeng
  • Duan, Zhengyu
• Conference:
  • 15th COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2015-7-24 to 2015-7-27
• Publication Date: 2015-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 3509-3527
• Monograph Title: CICTP 2015: Efficient, Safe, and Green Multimodal Transportation

Subject/Index Terms

• TRT Terms: Activity choices; Case studies; Cellular telephones; Data analysis; Metropolitan areas; Residents; Suburbs; Towns; Travel patterns
• Geographic Terms: Shanghai (China)
• Subject Areas: Data and Information Technology; Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01578746
• Record Type: Publication
• ISBN: 9780784479292
• Files: TRIS, ASCE
• Created Date: Oct 23 2015 9:26AM