Exploring the Determinants of the Severity of Pedestrian Injuries by Pedestrian Age: A Case Study of Daegu Metropolitan City, South Korea
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- Hanson, Christopher S. & Noland, Robert B. & Brown, Charles, 2013. "The severity of pedestrian crashes: an analysis using Google Street View imagery," Journal of Transport Geography, Elsevier, vol. 33(C), pages 42-53.
- Feng Chen & Mingtao Song & Xiaoxiang Ma, 2019. "Investigation on the Injury Severity of Drivers in Rear-End Collisions Between Cars Using a Random Parameters Bivariate Ordered Probit Model," IJERPH, MDPI, vol. 16(14), pages 1-12, July.
- Zhiyuan Sun & Jianyu Wang & Yanyan Chen & Huapu Lu, 2018. "Influence Factors on Injury Severity of Traffic Accidents and Differences in Urban Functional Zones: The Empirical Analysis of Beijing," IJERPH, MDPI, vol. 15(12), pages 1-16, December.
- Chia-Yuan Yu, 2015. "Built Environmental Designs in Promoting Pedestrian Safety," Sustainability, MDPI, vol. 7(7), pages 1-17, July.
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Cited by:
- Arshad Jamal & Waleed Umer, 2020. "Exploring the Injury Severity Risk Factors in Fatal Crashes with Neural Network," IJERPH, MDPI, vol. 17(20), pages 1-22, October.
- Bong Gu Kang & Byeong Soo Kim, 2023. "A Study on Cognitive Error Validation for LED In-Ground Traffic Lights Using a Digital Twin and Virtual Environment," Mathematics, MDPI, vol. 11(17), pages 1-16, September.
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Keywords
pedestrian-vehicle crash; severity of pedestrian injury; built environment; pedestrian safety;All these keywords.
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