A Cognitive Learning Model for Dynamic Activity-travel Patterns

As individuals travel and receive information about the urban and transport environment through information and communication technologies, they will update their mental representation of the built environment, which in turn may influence their activity-travel choices. Thus, this paper proposes a model that simulates probabilities based on individual observations in the built environment, explains the model framework, and presents the results of simulations designed to test the face validity of the model.

• Record URL:
  https://doi.org/10.1016/j.sbspro.2012.09.775
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877042812042371
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Cenani, Sehnaz
  • Arentze, Theo A
  • Timmermans, Harry J P
• Conference:
  • 15th Meeting of the EURO Working Group on Transportation
  • Location: Paris , France
  • Date: 2012-9-10 to 2012-9-13
• Publication Date: 2012-10-4

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 580-588
• Serial:
  • Procedia - Social and Behavioral Sciences
  • Volume: 54
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0428
  • Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Activity choices; Choice models; Learning; Travel patterns
• Subject Areas: Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01487043
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 18 2013 1:49PM