WW
W Weijermars
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8 records found
1
Conference paper
(2022)
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Amna Chaudhry, R Haouari, A Morris, E Papazikou, H Sha, M. K. Singh, A Tympakianaki, Leyre Nogues, M Quddus, W Weijermars, P Thomas
Report
(2021)
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B Hu, G. Brandstätter, A. Ziakopoulos, Amna Chaudhry, S. Sha, R. Haouari, H. C. Boghani, M. Ralbovsky, M. Kwapisz, A. Vorwagner, Zwart, R.d. Zwart, C. Mons, W. Weijermars, J. Roussou, M. Oikonomou
Report
(2021)
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Amna Chaudhry, H. Sha, W. Weijermars, A. Hula, J. Roussou, G. Richter, Bin Hu, P. Thomas, M. Quddus, A. Morris, R. Haouari, M. Zach, E. Papazikou,, H.C. Boghani, M. Singh, S. Gebhard, R.d. Zwart, C. Mons
Report
(2021)
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B. Hu, G. Brandstätter, A. Ziakopoulos, Amna Chaudhry, S. Sha, R. Haouari, H.C. Boghani, M. Ralbovsky, M. Kwapisz, A. Vorwagner, Zwart, R.d. Zwart, C. Mons, W. Weijermars, J. Roussou, M. Oikonomou
Long term impacts of cooperative, connected and automated mobility on freight transport
Deliverable D7.4 of the H2020 project LEVITATE.
Report
(2021)
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Bin Hu, G. Brandstätter, H. Sha, Rajae Haouari, H.C. Boghani, S. Gebhard, R.D. Zwart, C. Mons, W. Weijermars, R. Roussou, M. Oikonomou, A. Ziakopoulos, Amna Chaudhry
Report
(2021)
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J. Roussou, M. Oikonomou, B. Hu, G. Yannis, V. Mourtakos, A. Ziakopoulos, S. Gebhard, C. Mons, R.d. Zwart, W. Weijermars, M. Zach, Amna Chaudhry
Journal article
(2019)
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S. Daniels, H. Martensen, W. Weijermars, L. Carnis, R. Elvik, O.M. Perez, A. Schoeters, W. Van den Berghe, E. Papadimitriou, A. Ziakopoulos, S. Kaiser, E. Aigner-Breuss, A. Soteropoulos, W. Wijnen
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 cost-effective 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. ...
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. ...
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 cost-effective 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.
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.
Journal article
(2013)
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G. Yannis, W. Weijermars, V. Gitelman, M. Vis, A. Chaziris, E. Papadimitriou, C.L. Azevedo
Various road safety performance indicators (SPIs) have been proposed for different road safety research areas, mainly as regards driver behaviour (e.g. seat belt use, alcohol, drugs, etc.) and vehicles (e.g. passive safety); however, no SPIs for the road network and design have been developed. The objective of this research is the development of an SPI for the road network, to be used as a benchmark for cross-region comparisons. The developed SPI essentially makes a comparison of the existing road network to the theoretically required one, defined as one which meets some minimum requirements with respect to road safety. This paper presents a theoretical concept for the determination of this SPI as well as a translation of this theory into a practical method. Also, the method is applied in a number of pilot countries namely the Netherlands, Portugal, Greece and Israel. The results show that the SPI could be efficiently calculated in all countries, despite some differences in the data sources. In general, the calculated overall SPI scores were realistic and ranged from 81 to 94%, with the exception of Greece where the SPI was relatively lower (67%). However, the SPI should be considered as a first attempt to determine the safety level of the road network. The proposed method has some limitations and could be further improved. The paper presents directions for further research to further develop the SPI.
...
Various road safety performance indicators (SPIs) have been proposed for different road safety research areas, mainly as regards driver behaviour (e.g. seat belt use, alcohol, drugs, etc.) and vehicles (e.g. passive safety); however, no SPIs for the road network and design have been developed. The objective of this research is the development of an SPI for the road network, to be used as a benchmark for cross-region comparisons. The developed SPI essentially makes a comparison of the existing road network to the theoretically required one, defined as one which meets some minimum requirements with respect to road safety. This paper presents a theoretical concept for the determination of this SPI as well as a translation of this theory into a practical method. Also, the method is applied in a number of pilot countries namely the Netherlands, Portugal, Greece and Israel. The results show that the SPI could be efficiently calculated in all countries, despite some differences in the data sources. In general, the calculated overall SPI scores were realistic and ranged from 81 to 94%, with the exception of Greece where the SPI was relatively lower (67%). However, the SPI should be considered as a first attempt to determine the safety level of the road network. The proposed method has some limitations and could be further improved. The paper presents directions for further research to further develop the SPI.