An Empirical Investigation of Motorcycle Ownership and Usage

Motorcycles are a widespread mode of travel in several parts of the world as, for example, in Southern Europe and Asia. However, motorcycle ownership and usage have been scarcely examined, despite being critical for developing transportation and traffic safety plans and policies in urban areas with high motorcycle presence. This paper describes models that were developed for this purpose based on questionnaires collected in Athens, Greece. A binary Probit model is used for analyzing motorcycle ownership and a hazard-based duration model for explaining factors affecting motorcycle usage. Results indicated that income, gender, and age are factors affecting motorcycle ownership and use; in addition, appropriate spatial trip characteristics have an effect on motorcycle ownership and usage.

• Record URL:
  • https://doi.org/10.1061/41167(398)103
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784411674
• Supplemental Notes:
  • Copyright © 2011 ASCE
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Kepaptsoglou, Konstantinos
  • Milioti, Christina P
  • Christoforou, Zoi
  • Karlaftis, Matthew G.
• Conference:
  • First Congress of Transportation and Development Institute (TDI)
  • Location: Chicago IL, United States
  • Date: 2011-3-13 to 2011-3-16
• Publication Date: 2011

Language

• English

Media Info

• Media Type: Digital/other
• Features: References;
• Pagination: pp 1075-1084
• Monograph Title: Transportation and Development Institute Congress 2011 : Integrated Transportation and Development for a Better Tomorrow

Subject/Index Terms

• TRT Terms: Age groups; Data collection; Demographics; Gender; Highway travel; Income; Motorcycles; Ownership; Probits; Urban areas; Vehicles
• Geographic Terms: Europe
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment; I83: Accidents and the Human Factor; I90: Vehicles;

Filing Info

• Accession Number: 01347148
• Record Type: Publication
• ISBN: 9780784411674
• Files: TRIS, ASCE
• Created Date: Aug 8 2011 2:08PM