Research on Traveler Information Need in the Interior of Large-Scale Multi-Modal Transport Hub

Passengers' information need is the start of their information seeking and retrieving inside the large multi-modal transport hub. The users' information demands are uncertain and dynamic. Different transfer modes produce different transfer flow lines, and the information demands in the flow lines vary in different time and place. The method of principal component analysis is used in this study to investigate the information attention degree of different groups of people, combining their information needs degree. The utility function is used to analyze the dissemination utility of different information in specific regions. It is found that the dissemination utility of traffic information maximizes at the beginning and the end of the flow lines, while the utility of guiding information maximizes at the mid-point of the flow lines. The priority levels of information dissemination in different regions are useful in guiding a large-scale integrated transport hub internal information system.

• Record URL:
  • https://doi.org/10.1061/9780784413623.129
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413623
• Supplemental Notes:
  • © 2014 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Jiang, Lijuan
  • Shao, Minhua
• Conference:
  • 14th COTA International Conference of Transportation Professionals
  • Location: Changsha , China
  • Date: 2014-7-4 to 2014-7-7
• Publication Date: 2014-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1327-1337
• Monograph Title: CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems

Subject/Index Terms

• TRT Terms: Hubs; Information dissemination; Multimodal transportation; Transfers; Traveler information and communication systems; Utility theory
• Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation; Terminals and Facilities; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01532869
• Record Type: Publication
• ISBN: 9780784413623
• Files: TRIS, ASCE
• Created Date: Aug 7 2014 9:40AM