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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Ziakopoulos, Apostolos
in Cooperation with on an Cooperation-Score of 37%
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Publications (21/21 displayed)
- 2023A Review of Surrogate Safety Measures Uses in Historical Crash Investigationscitations
- 2023The LEVITATE Policy Support Tool of Connected and Automated Transport Systemscitations
- 2023COVID-19 and Driving Behavior: Which Were the Most Crucial Influencing Factors?citations
- 2023From conflicts to crashes: Simulating macroscopic connected and automated driving vehicle safetycitations
- 2023Exploring speeding behavior using naturalistic car driving data from smartphonescitations
- 2023Comparing Machine Learning Techniques for Predictions of Motorway Segment Crash Risk Levelcitations
- 2023The impacts of automated urban delivery and consolidation
- 2023Exploiting Surrogate Safety Measures and Road Design Characteristics towards Crash Investigations in Motorway Segmentscitations
- 2022Spatial predictions of harsh driving events using statistical and machine learning methodscitations
- 2022The impacts of automated urban delivery and consolidation
- 2021Modelling self-reported driver perspectives and fatigued driving via deep learningcitations
- 2021Identifying the impact of the COVID-19 pandemic on driving behavior using naturalistic driving data and time series forecastingcitations
- 2021To cross or not to cross? Review and meta-analysis of pedestrian gap acceptance decisions at midblock street crossingscitations
- 2021Examining the relationship between impaired driving and past crash involvement in Europe: Insights from the ESRA studycitations
- 2021Investigation of the speeding behavior of motorcyclists through an innovative smartphone applicationcitations
- 2021Predicting fatigued driving via deep learning based on driver perspectives
- 2020Investigation of the effect of tourism on road crashescitations
- 2019A systematic cost-benefit analysis of 29 road safety measurescitations
- 2019Review and ranking of crash risk factors related to the road infrastructurecitations
- 2016Identification of Road User related Risk Factors. SAfetyCube Deliverable 4.1
- 2016Identification of Road User related Risk Factors. SAfetyCube Deliverable 4.1
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article
A systematic cost-benefit analysis of 29 road safety measures
Abstract
Economic evaluations of road safety measures are only rarely published in the scholarly literature. We collected and (re-)analyzed evidence in order to conduct cost-benefit analyses (CBAs) for 29 road safety measures. The information on crash costs was based on data from a survey in European countries. We applied a systematic procedure including corrections for inflation and Purchasing Power Parity in order to express all the monetary information in the same units (EUR, 2015). Cost-benefit analyses were done for measures with favorable estimated effects on road safety and for which relevant information on costs could be found. Results were assessed in terms of benefit-to-cost ratios and net present value. In order to account for some uncertainties, we carried out sensitivity analyses based on varying assumptions for costs of measures and measure effectiveness. Moreover we defined some combinations used as best case and worst case scenarios. In the best estimate scenario, 25 measures turn out to be cost-effective. 4 measures (road lighting, automatic barriers installation, area wide traffic calming and mandatory eyesight tests) are not cost-effective according to this scenario. In total, 14 measures remain costeffective throughout all scenarios, whereas 10 other measures switch from cost-effective in the best case scenario to not cost-effective in the worst case scenario. For three measures insufficient information is available to calculate all scenarios. Two measures (automatic barriers installation and area wide traffic calming) even in the best case do not become cost-effective. Inherent uncertainties tend to be present in the underlying data on costs of measures, effects and target groups. Results of CBAs are not necessarily generally valid or directly transferable to other settings.
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