Ordinal and binary logistic logit models for examination of behavioral, infrastructure and perception factors influencing biking

In the context of this paper, two logistic regression logit models are developed in order to examine a number of parameters (behavioral, infrastructure and perceptional) that might have an effect on biking potential. Almost 200 bicyclists were interviewed at the city of Thessaloniki, Greece and two models were built; an ordinal logistic model measuring the frequency of biking and a binary logistic model estimating the possibility of perceiving the bicycle road of the city as attractive or not. The ordinal model, indicated that the bicyclist aged between 25–39 years old have less possibilities to stop biking. Additionally, from the odd ratio calculation it was found that people who state that are very well informed about the benefits of biking are more unlike by 65% to use seldom the bicycle road compare to those that state that are just enough informed. Finally, amongst other important outcomes, the binary model predicted that only 7% of those who say that the bike road is safe will not perceived the bicycle road as attractive; the respective proportion for those who say that bike road is not safe is 17%.

• Summary URL:
  https://doi.org/10.2495/UT130461
• Availability:
  • Find a library where document is available. Order URL: http://www.witpress.com/978-1-84564-716-2.html
• Supplemental Notes:
  • Abstract reprinted with permission from WIT Press.
• Corporate Authors:

  WIT Press

  Ashurst Lodge
  Ashurst, Southampton  United Kingdom  SO40 7AA
• Authors:
  • Basbas, S
  • Tetou, V
  • Politis, I
• Conference:
  • 19th International Conference on Urban Transport and the Environment
  • Location: Kos , Greece
  • Date: 2013-5-29 to 2013-5-31
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 12p
• Monograph Title: Urban Transport XIX
• Serial:
  • WIT Transactions on the Built Environment
  • Issue Number: 130
  • Publisher: Wessex Institute of Technology
  • ISSN: 1743-3509
  • Serial URL: http://library.witpress.com/pages/listBooks.asp?tID=2

Subject/Index Terms

• TRT Terms: Attitudes; Bicycle travel; Cyclists; Logits; Mode choice; Travel behavior
• Geographic Terms: Thessaloniki (Greece)
• Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01494672
• Record Type: Publication
• ISBN: 9781845647162
• Files: TRIS
• Created Date: Sep 30 2013 10:31AM