Intercultural Differences in Road Safety Performance and Support for Road Safety Policy Measures

Berghe, Wouter Van den

doi:10.5772/intechopen.109305

Cited by 2 publications

(2 citation statements)

References 42 publications

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“…• Speed the speed limits for this road depend on each section, ranging among 50, 60, 80, 100 and 120 km/h. This layer was derived by associating each section with the speed limit, with the higher speed, the higher risk [49]. • Interchange dimensions for these rails were compared to the standard [48], finding that the minimum dimensions are not met in many cases; therefore, the smaller the dimensions, the greater the risk in that section.…”

Section: Step 3: Object Levelmentioning

confidence: 99%

A top-down approach for a multi-scale identification of risk areas in infrastructures: particularization in a case study on road safety

Rúa

Comesaña-Cebral

Arias

et al. 2022

Eur. Transp. Res. Rev.

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Introduction Transport infrastructures have an important function in society and the development of a country. In Spain, the most used modes of traveler transport are road and rail, far ahead of other means of transport such as air or maritime transport. Both rail and road infrastructures can be affected by numerous hazards, endangering their performance and the safety of users. This study proposes a methodology with a multiscale top-down approach to identify the areas affected by fire, landslide, and safety in road and rail infrastructures in Galicia (Northwest Spain). Methodology The methodology is developed in three steps, coinciding with the three scales considered in this work: network-, system-, and object-level. In the first step, risk areas are identified and prioritized, resulting in the most critical safety risk in a motorway section. This area defines a study scenario composed of a location (A-55 motorway) and the associated risk (road safety). In the second step, the road safety factors within this scenario are selected, hierarchized, and weighted using a combination of Multi-Criteria Decision-Making methods including the Analytical Hierarchy Process and the Best–Worst Method. Finally, a risk map is generated based on the weighting of infrastructure-related safety factors and compared to real historical accident data for validation. The methodology is based on road and risk assessment standards and only information in the public domain is used. Results Results show that only 3 segments out of 153 were classified incorrectly, which supports a probability higher than 95% of agreement with real data (at 5% significance level). In a conclusion, the overall methodology exhibits a high potential for hazard prevention and road-safety enhancement.

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Section: Step 3: Object Levelmentioning

confidence: 99%

A top-down approach for a multi-scale identification of risk areas in infrastructures: particularization in a case study on road safety

Rúa

Comesaña-Cebral

Arias

et al. 2022

Eur. Transp. Res. Rev.

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“…Speed is recognized as an important indicator of road safety [1]. Road crashes caused by speeding represent a major road safety problem [2].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Model for Assessing Accident Proneness Based on Passenger Vehicle Speed in Real and Virtual Traffic Conditions

Marković,

Ivanišević,

Čičević

et al. 2024

Mathematics

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Inappropriate or unsafe speed is one of the main factors that affects the number of road crashes as well as the severity of the consequences. Research shows that speed is an influential factor in the occurrence of road crashes in more than 30% of road crashes with fatal outcomes and in over 12% of all road crashes. With an increase in speed, the risk of road crashes increases as well as the severity of the consequences. The perception of the vehicle speed in the traffic lane is one of the basic prerequisites for the safe functioning of traffic, that is, for the successful and timely interaction of all road users. Therefore, the challenge of this paper is to examine how the assessment of the speed of a passenger vehicle in different environments affects the prediction of the respondent’s participation in road crashes. Bearing the above in mind, an experimental study was carried out, in real traffic conditions (RTC) as well as in a virtual environment using a driving simulator (DS), at different passenger vehicle speeds (30, 50 and 70 km/h), and at different perspectives of observing the oncoming vehicle (observing the vehicle from the front, from the back, from the side and from the driver’s seat) by the respondents. The respondents had the task of evaluating the passenger vehicle speed, in all tested conditions and at all tested speeds. Standard statistical models and fuzzy logic were used to analyze the obtained results. The results show statistically significant differences for all tested situations and all tested speeds as well as statistically significant differences depending on the gender of the respondents, the driver’s license category, the driver’s experience, frequency of driving and depending on whether respondents wear glasses. Bearing in mind the results of the developed model, by applying fuzzy logic, it can be concluded that the proposed model can be used to assess the propensity of respondents to participate in road crashes, based on perception of vehicle speeds in two tested environments.

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Intercultural Differences in Road Safety Performance and Support for Road Safety Policy Measures

Cited by 2 publications

References 42 publications

A top-down approach for a multi-scale identification of risk areas in infrastructures: particularization in a case study on road safety

A top-down approach for a multi-scale identification of risk areas in infrastructures: particularization in a case study on road safety

Fuzzy Logic Model for Assessing Accident Proneness Based on Passenger Vehicle Speed in Real and Virtual Traffic Conditions

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