Mapping patterns of pedestrian fatal accidents in Israel

Prato, Carlo Giacomo; Gitelman, Victoria; Bekhor, Shlomo

doi:10.1016/j.aap.2010.12.022

Cited by 58 publications

(25 citation statements)

References 24 publications

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“…Accordingly, a data-driven bird's-eye view of bicycle crash patterns and their prevalence remains unraveled. The importance of implementing clustering techniques for providing an overview of crash patterns and their prevalence derives from the need to identify safety issues that need to be prioritized and to devise efficient preventive measures (Prato et al 2012;Theofilatos and Efthymiou 2012). The usefulness of clustering approaches is demonstrated by the recent studies of Prato et al (2012) and Theofilatos and Efthymiou (2012), which apply, respectively, Kohonen neural networks and 2-stage clustering for extracting pedestrian crash patterns.…”

Section: Introductionmentioning

confidence: 98%

Cyclist–Motorist Crash Patterns in Denmark: A Latent Class Clustering Approach

Kaplan

Prato

2013

Traffic Injury Prevention

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Section: Introductionmentioning

confidence: 98%

Cyclist–Motorist Crash Patterns in Denmark: A Latent Class Clustering Approach

Kaplan

Prato

2013

Traffic Injury Prevention

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“…They were slightly less likely than younger pedestrians to be struck by a motor vehicle; however, once struck, older pedestrians have a much higher likelihood of being killed, 20%, compared with 5 to 10% for younger age groups. In Israel, Prato, Gitelman, and Bekhor (2012) found also that pedestrian fatalities were mainly registered during day (57.5%), generally during the morning and the afternoon off-peak periods.…”

Section: Temporal Patternsmentioning

confidence: 99%

“…Demographic data was also linked to the Swedish municipalities, namely total elderly population for 2014. Frequency analysis of the characteristics of the accidents offers only a blurred picture of pedestrian fatal accidents (Prato et al, 2012), therefore we calculate Age Adjusted Standardized Elderly Accident Ratios (ASEAR). (2) Calculating Age Adjusted Standardized Elderly Accident Ratios (ASEAR) -In order to have a measure of relative risk of the accidents of elderly pedestrians in Sweden at municipal level, an Age Standardized Elderly Accidents Rates (ASEAR) were calculated based on the population of interest (65 years old and above).…”

Section: Methodsmentioning

confidence: 99%

“…These results are in accordance with previous findings in Israel. Prato et al (2012) also identified that two-thirds of pedestrian fatalities happened in urban areas, in road sections and in the center of the country where the two major metropolitan areas are located (in 56.7 per cent of cases).…”

Section: Distribution Of Elderly Accidents By Municipalitymentioning

confidence: 99%

“…One of the few studies that looked at regional patterns of elderly pedestrian was done by Prato et al (2012). Using a database of pedestrian fatal accidents occurred during a four-year period, they found the existence of five pedestrian accident types: elderly pedestrians crossing on crosswalks mostly far from intersections in metropolitan areas; pedestrians crossing suddenly or from hidden places and colliding with two-wheel vehicles on urban road sections; male pedestrians crossing at night and being hit by four-wheel vehicles on rural road sections; young male pedestrians crossing at night wide road sections in both urban and rural areas and children and teenagers crossing road sections in small rural communities.…”

Section: Spatial Patternsmentioning

confidence: 99%

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Patterns of Traffic Accidents Among Elderly Pedestrians in Sweden

Ceccato¹

2018

RES

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The objective of this study is to characterize the nature and space-time patterns of traffic accidents involving elderly pedestrians in Sweden, in order to suggest preventive measures. The analysis is based on elderly pedestrian accidents from 2010 to 2014 using an age adjusted standardized elderly accidents ratios (ASEAR), Geographical Information Systems (GIS) and spatial statistics techniques. Findings show that the geography of elderly traffic accidents is far from being homogenous across the country: although most accidents happen in urban municipalities, 30 per cent of municipalities classified as accessible rural exhibit relatively high-standardized accidents ratios. They happen often in daylight hours, on weekdays and in the coldest months of the year. Most of the cases are single accidents (e.g. self-inflicted fall); they happen in street segments/intersections and pedestrian/bicycle path, some affected by environment conditions such as icy or uneven surfaces. Findings of the study call for preventive actions that are sensitive to the nature of these accidents in different temporal and spatial contexts.

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Comparison of Pedestrian Detection With and Without Yellow-Lens Glasses During Simulated Night Driving With and Without Headlight Glare

2019

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IMPORTANCE Some marketing materials for yellow-lens night-driving glasses claim that they increase nighttime road visibility and reduce oncoming headlight glare (HLG). However, there is no scientific evidence to support these claims. OBJECTIVE To measure the association between yellow-lens glasses and the detection of pedestrians with and without an oncoming HLG, using a driving simulator equipped with a custom HLG simulator. DESIGN, SETTING, AND PARTICIPANTS A single-center cohort study was conducted between September 8, 2016, and October 25, 2017, at the Schepens Eye Research Institute. A total of 22 individuals participated in the study, divided into groups to determine response to a pedestrian wearing a navy blue shirt by younger individuals and, to control for participant's age and the interaction of the shirt color with the filter, response to a pedestrian wearing an orange shirt by a group of younger and older participants. EXPOSURES Participants drove scripted night-driving scenarios, 3 times with 3 commercially available yellow-lens glasses and once with clear-lens glasses, with the HLG simulator turned on and off. A total of 8 conditions were used for each participant. MAIN OUTCOMES AND MEASURES Pedestrian detection response time. RESULTS The 22 participants who completed the study included 12 younger (mean [SD] age, 28 [7] years; 6 men) individuals who responded to a pedestrian wearing a dark navy blue shirt, as well as 6 younger (mean [SD] age, 27 [4] years; 4 men) and 4 older (mean [SD], 70 [11] years; all men) participants who responded to a pedestrian in an orange shirt. All participants had normal visual acuity (mean [SD],-0.05 [0.06] logMAR). No significant difference in response time with yellow lens was found in all experiment conditions; younger participants for dark navy blue shirt pedestrians (F 1,33 = 0.59; P = .45), orange shirt pedestrians (F 1,15 = 0.13; P = .72), and older participants for orange shirt pedestrians (F 1,9 = 0.84; P = .38). Among all participants (n = 22), no significant main effect of yellow lenses was found (F 1,63 = 0.64; P = .42). In all measuring conditions, the response times with the yellow lenses were not better than with the clear lenses. Significant main effects of HLG were found with dark navy blue shirt pedestrian condition for young participants (F 1,33 = 7.34; P < .001) and with orange shirt pedestrian condition for older individuals (F 1,9 = 75.32; P < .001), where the difference in response time between with and without HLG was larger for older (1.5 seconds) than younger (0.3 seconds) participants. CONCLUSIONS AND RELEVANCE Using a driver simulator equipped with an HLG simulator, yellow-lens night-driving glasses did not appear to improve pedestrian detection at night or reduce the negative effects of HLG on pedestrian detection performance. These findings do not appear to support having eye care professionals advise patients to use yellow-lens night-driving glasses.

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Mapping patterns of pedestrian fatal accidents in Israel

Cited by 58 publications

References 24 publications

Cyclist–Motorist Crash Patterns in Denmark: A Latent Class Clustering Approach

Cyclist–Motorist Crash Patterns in Denmark: A Latent Class Clustering Approach

Patterns of Traffic Accidents Among Elderly Pedestrians in Sweden

Comparison of Pedestrian Detection With and Without Yellow-Lens Glasses During Simulated Night Driving With and Without Headlight Glare

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