A Behavioural Model to Estimate Willingness-to-Pay for Reducing Road Accident Risk
Some behavioral models are proposed for willingness-to-pay for road accident risk reduction estimation in this paper. Model calibration was performed using web page survey collected SP data. The authors presented a specific category of drivers with some hypothetical route choice situations in the SP experiment. In each situation, variation was a function of number of road accidents, travel costs, and travel time. The authors calibrated multinomial and mixed logit route choice models by using the SP experiment collected data. Methods of driver accident risk perception identification and the interrelationship between driver sensitivity and driving behavior evaluation are represented by these models.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18245463
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Authors:
- Eboli, L
- Mazzulla, G
- Publication Date: 2008-7
Language
- English
Media Info
- Media Type: Print
- Features: References; Tables;
- Pagination: pp 63-74
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Serial:
- Advances in Transportation Studies
- Volume: 15
- Publisher: University Roma Tre
- ISSN: 1824-5463
- Serial URL: http://www.atsinternationaljournal.com/
Subject/Index Terms
- TRT Terms: Behavior; Drivers; Estimation theory; Mathematical models; Risk assessment; Traffic crashes
- Uncontrolled Terms: Willingness to pay
- Subject Areas: Highways; Safety and Human Factors; I83: Accidents and the Human Factor;
Filing Info
- Accession Number: 01111088
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 24 2008 10:38AM