Exposure data and risk indicators for safety performance assessment in Europe

Papadimitriou, Eleonora; Yannis, George; Bijleveld, F D; Cardoso, João Lourenço

doi:10.1016/j.aap.2013.04.040

Cited by 41 publications

(19 citation statements)

References 3 publications

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“…Other measures such as population, vehicle fleet or fuel consumption are also used. An overview of the existing risk exposure data for European countries can be found in Papadimitriou, Yannis, Bijveled, & Cardoso (2013) and Yannis et al (2005); and a discussion about the needs for such data in Muhlrad and Dupont (2010).…”

Section: The Road Risk Framework and Related Datamentioning

confidence: 98%

Road Safety Trends at National Level in Europe: A Review of Time-series Analysis Performed during the Period 2000–12

Bergel-Hayat¹,

Żukowska

2015

Transport Reviews

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This paper presents a review of time-series analysis of road safety trends, aggregated at a national level, which has been performed in the period 2000-12 and applied to European national data sets covering long time periods. It provides a guideline and set of best practices in the area of time-series modelling and identifies the latest methods and applications of national road safety trend analysis in Europe. The paper begins with the methodological framework adopted for aggregate time-series modelling that will be considered, and then discusses a number of relevant applications to long-period data aggregated at the national level, whether for countries alone, or for groups of countries. Some analyses, which were performed at the disaggregated level, are also provided, as they are being used more and more. Finally, the paper summarizes and discusses the significant changes in aggregate road safety trend analysis which occurred during the period and provides recommendations for continuing these research efforts.

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Section: The Road Risk Framework and Related Datamentioning

confidence: 98%

Road Safety Trends at National Level in Europe: A Review of Time-series Analysis Performed during the Period 2000–12

Bergel-Hayat¹,

Żukowska

2015

Transport Reviews

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“…In terms of driving experience, we consider vehicle drivers holding his/her license maximum three years as novice drivers in this study. Due to the amount of time a driver holds his/her driving license may not be an accurate estimate of his/her driving experience (Papadimitriou et al, 2013), this figure could be underestimated at some extent. The comparison of types of motorized modes, e.g.…”

Section: Identification Of Safety Performance Indicators (Spis)mentioning

confidence: 99%

“…The choice of each indicator is crucial and mainly depends on the type, availability, and quality of data being collected (Papadimitriou et al, 2013). Moreover, the selected indicators should be capable of integration in a composite index, which can combine all the relevant parameters in a concise and comprehensive way (Wegman et al, 2008).…”

Section: Road Safety Performance Indicators (Spis)mentioning

confidence: 99%

Road safety risk evaluation by means of improved entropy TOPSIS–RSR

2015

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“…To calculate the risk associated with the road safety, a composite index is used to evaluate the road safety level of certain entities i.e., roads. The simplest relationship used to evaluate the road safety risk [94][95][96][97] is as shown in Equation (1):…”

Section: Road Accident Risk Index and Benchmarkingmentioning

confidence: 99%

Road Infrastructure Analysis with Reference to Traffic Stream Characteristics and Accidents: An Application of Benchmarking Based Safety Analysis and Sustainable Decision-Making

Shah

Ahmad

2019

Applied Sciences

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Road infrastructure sustainability is directly associated with the safety of human beings. As a transportation engineer and policymaker, it is necessary to optimize the funding mechanism for road safety improvement by identifying problematic road segments. Infrastructure improvement is one of the key targets for efficient road safety management. In this study, data envelopment analysis (DEA) technique has been applied in combination with a geographical information system (GIS) to evaluate the risk level of problematic segments of a 100 km-long motorway (M-2) section. Secondly, the cross efficient method has been used to rank the risky segments for prioritization and distribution of funding to improve the road safety situation. This study will help in efficiently identifying the risky segments for safety improvement and budget allocation prioritization. GIS map will further improve the visualization and visibility of problematic segments to easily locate the riskiest segments of the motorway.

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Exposure data and risk indicators for safety performance assessment in Europe

Cited by 41 publications

References 3 publications

Road Safety Trends at National Level in Europe: A Review of Time-series Analysis Performed during the Period 2000–12

Road Safety Trends at National Level in Europe: A Review of Time-series Analysis Performed during the Period 2000–12

Road safety risk evaluation by means of improved entropy TOPSIS–RSR

Road Infrastructure Analysis with Reference to Traffic Stream Characteristics and Accidents: An Application of Benchmarking Based Safety Analysis and Sustainable Decision-Making

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