NDLI: Approach to Identifying Black Spots Based on Potential Saving in Accident Costs

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Approach to Identifying Black Spots Based on Potential Saving in Accident Costs

Content Provider	Semantic Scholar
Author	Nguyen, Huy Huu Taneerananon, Pichai Luathep, Paramet
Copyright Year	2016
Abstract	In improving road safety, the identification of black spots based on potential saving in accident costs is an attempt to make the selection of black spots to treat out of the identified ones. This selection is based on a new approach in which safety potential is employed as a key parameter which has a dual function of identification and prioritization. With this approach, it is possible to find black spots where safety improvement measures are expected to have the greatest economical effectiveness. Therefore, the approach may be a practically suitable tool for developing countries in road traffic accident reduction effort. This paper intends to introduce the new approach to identify road accident black spots in detail. First, the evolution of criteria for black spot identification is reviewed. What follows is an analytical framework for identifying black spots based on potential saving in accident costs. Finally, a particular case of practical implementation is enclosed in order to illustrate the approach.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.engj.org/index.php/ej/article/download/854/453/
Language	English
Access Restriction	Open
Subject Keyword	Best practice Black–Scholes model Dual Duality (optimization) Exanthema F-Spot Financial cost Population Parameter Statistical Test Traffic accidents benefit facilitation percentile
Content Type	Text
Resource Type	Article

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