Examining Injury Severity of Pedestrians in Vehicle–Pedestrian Crashes at Mid-Blocks Using Path Analysis
Bibliographic Data
| ID | 15472698 |
|---|---|
| Authors | Haorong Peng (0000-0002-6293-1447, Tongji University), Xiaoxiang Ma (0000-0001-9080-0316, Tongji University), Feng Chen (0000-0002-9129-7895, Tongji University, corresponding author) |
| Year | 2020 |
| Volume | 17 |
| Issue | 17 |
| Pages | 6170-6170 |
| Publication date | 2020-08-25 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph17176170 |
| PMID | 32854407 |
| OpenAlex | W3081117728 |
| Language | EN |
| Citations received | 3 |
| References cited | 20 |
Walking is a sustainable mode of transport which has well established health and environmental benefits. Unfortunately, hundreds of thousands of pedestrians lose their lives each year over the world due to involvement in road traffic crashes, and mid-blocks witness a significant portion of pedestrian fatalities. This study examined the direct and indirect effects of various contributing factors on the pedestrian injury severity in vehicle-pedestrian crashes at mid-blocks. Data of vehicle-pedestrian crashes during 2002-2009 were extracted from the NASS-GES, with pre-crash behaviors and injury severity included. The SEM path analysis method was applied to uncover the inter-relationships between the pedestrian injury severity and various explanatory variables. Both the direct and indirect effects of these explanatory variables on the pedestrian injury severity were calculated based on the marginal effects in the multinomial and ordered logit models. The results indicate some variables including number of road lanes and the age of pedestrian have indirect impacts on the injury severity through influencing the pre-crash behaviors. Although most indirect effects are relatively small compared with the direct effects, the results in this study still provide some valuable information to improve the overall understanding of pedestrian injury severity at mid-blocks
Computer network · Environmental health · Injury prevention · Machine learning · Motor vehicle crash · Occupational safety and health · Path (computing · Path analysis (statistics · Pathology · Pedestrian · Poison control · Suicide prevention · Transport engineering · Automotive and Human Injury Biomechanics · Computer Science · Engineering · Human Factors and Ergonomics · Medicine · Psychology · Traffic and Road Safety · Transportation Safety and Impact Analysis
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| Citations per year | 0.75 |
|---|---|
| Citation span | 2022 - 2023 (2) |
| Highly cited | No |