Dynamic Bayesian Belief Network to Model the Development of Walking and Cycling Schemes

This paper aims to describe a model which represents the formulation of decision-making processes (over a number of years) affecting the step-changes of walking and cycling (WaC) schemes. These processes can be seen as being driven by a number of causal factors, many of which are associated with the attitudes of a variety of factors, in terms of both determining whether any scheme will be implemented and, if it is implemented, the extent to which it is used. The outputs of the model are pathways as to how the future might unfold (in terms of a number of future time steps) with respect to specific pedestrian and cyclist schemes. The transitions of the decision making processes are formulated using a qualitative simulation method, which describes the step-changes of the WaC scheme development. In this article a Bayesian belief network (BBN) theory is extended to model the influence between and within factors in the dynamic decision making process.

• Record URL:
  https://doi.org/10.1080/15568318.2012.674627
• Record URL:
  http://www.tandfonline.com/doi/abs/10.1080/15568318.2012.674627#.UbiOcJyMWSo
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/15568318
• Supplemental Notes:
  • Abstract reprinted with permission from Taylor & Francis.
• Authors:
  • Ngoduy, Dong
  • Watling, David
  • Timms, Paul
  • Tight, Miles
• Publication Date: 2013-9

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 366-388
• Serial:
  • International Journal of Sustainable Transportation
  • Volume: 7
  • Issue Number: 5
  • Publisher: Taylor & Francis
  • ISSN: 1556-8318
  • EISSN: 1556-8334
  • Serial URL: http://www.tandfonline.com/loi/ujst20

Subject/Index Terms

• TRT Terms: Bayes' theorem; Bicycling; Decision making; Mathematical models; Walking
• Uncontrolled Terms: Causal relationships
• Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01483710
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 5 2013 2:51PM