Travel Behavior Analysis for Activity-Based Travel Demand Modeling: A Case Study of the Tampa Bay Region

Activity-based approach has been argued to be an advanced alternative to traditional four-step model, due to the higher fidelity and better policy sensitivity provided. This study aims to provide an initial analysis of travel diary data in the study area of Tampa Bay Region, Florida in a GIS environment. By visualizing the time-space paths of travelers and providing detailed statistics, this paper investigates the superiorities of using the detailed travel diary data for modeling the travel behaviors at both individual and household level. Individual's activity participations and durations are plotted using time-space path of each person in ArcScence. Detailed statistical comparisons of travel characteristics (including travel time, stops, distance, duration, and time-of-day) are also made among different employment groups. Household interaction is examined in a 3-D time-space environment with a comparison among different life-style household types. Descriptive statistics as well as the time geography analysis of travel behavior reported in this research are helpful for analyzing individual activity patterns and household interactions in a space-time context, and also provide supporting evidences of the superiorities of activity-based approach.


  • English

Media Info

  • Media Type: Web
  • Features: Figures; References; Tables;
  • Pagination: pp 3352-3363
  • Monograph Title: CICTP 2012: Multimodal Transportation Systems—Convenient, Safe, Cost-Effective, Efficient

Subject/Index Terms

Filing Info

  • Accession Number: 01521675
  • Record Type: Publication
  • ISBN: 9780784412442
  • Files: TRIS, ASCE
  • Created Date: Apr 7 2014 8:57AM