Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Conference object . 2018
License: CC BY NC ND
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Conference object . 2018
License: CC BY NC ND
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Conference object . 2018
License: CC BY NC ND
Data sources: ZENODO
versions View all 2 versions
addClaim

Road Users Characteristics And Their Willingness-to-Pay For Road Safety Improvement

Authors: Mohamed Mouloud Haddak;

Road Users Characteristics And Their Willingness-to-Pay For Road Safety Improvement

Abstract

The road risk perception varies between socio-economic and family environment, educational level and mobility experience. A good knowledge of the risk perception according to each social environment is essential for a better adapted and a better targeted prevention. One of the approaches used to understand this risk perception is the willingness to pay method. Moreover, much of the literature focused on estimating WTP for a reduction in the risk of fatal accident and on the calculation of the value or price of the risk, collectively named "the value of a statistical life”. In contrast, the present paper is interested in the valuation of more or less serious non-fatal injuries caused by traffic accidents. To do so, contingent valuation was conducted on the adult population (aged 18 years and older) of a French administrative Département (Rhône) during the year 2013. A telephone survey was conducted in 2013 with a sample of 2,216 inhabitants, randomly selected from the Rhône population. This study was based on the stated preference method. Respondents were asked their WTP to avoid diverse consequences of a road accident. Participants should consider contributing financially to the implementation of a local project to improve the safety of road users in the Rhône Département. To test the relationship between WTP and injury severity, three road safety projects were independently presented. Each was characterized by the types of injury against which it offered protection. For each project, respondents were asked whether they were willing to pay for the project to be implemented, if so, the maximum amount of money they were willing to pay each year. If not, zero WTP was assigned, and follow-up questions tried to identify the reasons for this choice; this allowed “genuine zero values”, consistent with an economic decision, to be distinguished from protest responses. A Tobit and a type-II Tobit model were estimated to identify factors for WTP. The results highlighted the significant and positive influence of injury severity on WTP. Experience of road traffic accidents seemed to play an important role, positively influencing valuation of non-fatal injury. The young people seemed to be more willing to invest in improving their road safety. As predicted by economic theory, the study confirms the positive relationship between WTP and income level. In this survey, we have taken into account all the determinants that affect willingness to pay, according to the literature: categories of road users, age groups and gender, family and social environments, (urban, peri-urban, rural), reasons for travel (professional or personal), experience of road traffic injury, etc. This suggests that these results can be transposed to any French or even European context.

Keywords

Road safety; contingent valuation; willingness-to-pay, risk perception, risk representation.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 4
    download downloads 2
  • 4
    views
    2
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
4
2
Green