Application of Entropy Theory for the Analysis of Mode Choice Decisions

The study aims to evaluate uncertainties in travelers' mode choice decisions using the entropy theory. Data were obtained from a household survey in a medium-sized city in China. The entropy theory was brought in to the multinomial logit model to evaluate the amount of uncertainty related to the mode choice decision of each traveler. The results showed that, in commuting chains, selecting a car as the mode type had the largest amount of uncertainty, while selecting public transit had the least uncertainty. In non-commuting chains, the bike choice had the largest uncertainty while the walk choice had the least uncertainty.

• Record URL:
  https://doi.org/10.1061/9780784413623.295
• 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:
  • Wan, Qian
  • Li, Wenyong
  • Liang, Qiyu
  • Wang, Hao
  • Li, Zhibin
• 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 3088-3094
• Monograph Title: CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems

Subject/Index Terms

• TRT Terms: Decision making; Entropy (Statistical mechanics); Logits; Mode choice; Surveys; Uncertainty
• Geographic Terms: China
• Subject Areas: Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01531172
• Record Type: Publication
• ISBN: 9780784413623
• Files: TRIS, ASCE
• Created Date: Jul 24 2014 3:21PM