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

Abstract

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.

Determination of black spots by using accident equivalent number and upper control limit on rural roads of Thailand

“…This is due to the independence of this parameter, which can be collected easily through an investigation without calculations or predictions. The suggested period for identification is a range between 3 and 5 years (Nguyen et al, 2016). The road analysis will focus on road sections determined based on the sliding window method, which allows dividing a road into sections to find the number of accidents in each.…”

A Mixed-Method Proposal for Traffic Hotspots Mapping in African Cities using Raw Satellite Imagery

“…urban intersections [2]. This accident-prone location, usually called blackspots or hotspots, covers where safety improvement measures are expected to have the greatest economic effectiveness [3]. Some studies show, focusing on Black spot road safety interventions could decrease the rate of accidents up to 28% [4].…”

Identifying Black Spots in Southeast Sulawesi Province, Indonesia: A Combination Method of Equivalent Accident Number and Road Safety Survey Value

“…More modern approaches were shown appeared when Ambros et al identified of hazardous locations in regional road network by comparison of reactive and proactive approaches [12]. Nguyen et al addressed an approach towards identification of black spots based on saving road costs [13]. Rouhi and Behzadi managed to prioritize four conventional methods, namely those based on frequency, rate, severity, and rate-severity, and proposed a hybrid method using AHP [14].…”