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Original Articles

Analyzing pedestrian crash injury severity under different weather conditions

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Pages 427-430 | Received 02 Apr 2016, Accepted 27 Jun 2016, Published online: 08 Nov 2016

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (6)

Chenzhu Wang, Muhammad Ijaz, Fei Chen, Said M. Easa, Yunlong Zhang, Jianchuan Cheng & Muhammad Zahid. (2023) Temporal assessment of injury severities of two types of pedestrian-vehicle crashes using unobserved-heterogeneity models. Journal of Transportation Safety & Security 0:0, pages 1-50.
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Tianjia Yang, Wei (David) Fan & Li Song. (2023) Modeling pedestrian injury severity in pedestrian-vehicle crashes considering different land use patterns: Mixed logit approach. Traffic Injury Prevention 24:2, pages 114-120.
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Burak Yiğit Katanalp & Ezgi Eren. (2022) GIS-based assessment of pedestrian-vehicle accidents in terms of safety with four different ML models . Journal of Transportation Safety & Security 14:9, pages 1598-1632.
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Milad Jamali-Dolatabad, Homayoun Sadeghi-bazargani & Saeid Mousavi. (2022) Applying count time series to assess 13-year pedestrian mortality trend caused by traffic accidents in East-Azerbaijan province, Iran. International Journal of Injury Control and Safety Promotion 29:2, pages 239-246.
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Anju K. Panicker & Gitakrishnan Ramadurai. (2022) Injury severity prediction model for two-wheeler crashes at mid-block road sections. International Journal of Crashworthiness 27:2, pages 328-336.
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Seyed Alireza Samerei, Kayvan Aghabayk, Nirajan Shiwakoti & Sajjad Karimi. (2021) Modelling bus-pedestrian crash severity in the state of Victoria, Australia. International Journal of Injury Control and Safety Promotion 28:2, pages 233-242.
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Dongjie Liu, Dawei Li, N.N. Sze, Hongliang Ding & Yuchen Song. (2023) An integrated data- and theory-driven crash severity model. Accident Analysis & Prevention 193, pages 107282.
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Siyab Ul Arifeen, Mujahid Ali & Elżbieta Macioszek. (2023) Analysis of vehicle pedestrian crash severity using advanced machine learning techniques. Archives of Transport 68:4, pages 91-116.
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Shaila Jamal, K. Bruce Newbold & Darren Scott. (2023) Exploring Pedestrian Injury Severity by Incorporating Spatial Information in Machine Learning. Findings.
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Alireza Salehian, Kayvan Aghabayk, MohammadAli Seyfi & Nirajan Shiwakoti. (2023) Comparative analysis of pedestrian crash severity at United Kingdom rural road intersections and Non-Intersections using latent class clustering and ordered probit model. Accident Analysis & Prevention 192, pages 107231.
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Xiaowei Li, Lanxin Shi, Junqing Tang, Chenyu Yang, Ting Zhao, Yuting Wang & Wei Wang. (2023) Determinants of passengers' ticketing channel choice in rail transit systems: New evidence of e-payment behaviors from Xi'an, China. Transport Policy 140, pages 30-41.
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Ahmed Sajid Hasan, Mohammad Jalayer, Subasish Das & Md. Asif Bin Kabir. (2023) Application of machine learning models and SHAP to examine crashes involving young drivers in New Jersey. International Journal of Transportation Science and Technology.
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Apurwa Dhoke & Pushpa Choudhary. (2023) Is there a relationship between time pressure and pedestrian non-compliance? A systematic review. Transportation Research Part F: Traffic Psychology and Behaviour 93, pages 68-89.
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Mateus Nogueira Silva, Flávio José Craveiro Cunto, Marcos José Timbó Lima Gomes & Sara Ferreira. (2023) An analysis of the injury severity of pedestrians in Brazil using random parameters logit models. TRANSPORTES 31:1.
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Daniel Gálvez-Pérez, Begoña Guirao & Armando Ortuño. (2023) Analysis of the Elderly Pedestrian Injury Severity in Urban Traffic Accidents in Spain using Machine Learning Techniques. Transportation Research Procedia 71, pages 6-13.
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Srinivas Geedipally. 2023. Proceedings of the Sixth International Conference of Transportation Research Group of India. Proceedings of the Sixth International Conference of Transportation Research Group of India 131 144 .
Mateus Nogueira Silva, Flávio José Craveiro Cunto & Marcos José Timbó Lima Gomes. (2022) The effect of different aggregations of severity levels of crashes with pedestrians in urban areas. TRANSPORTES 30:3.
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Jason C. Anderson, Sirisha Kothuri, Christopher Monsere & David Hurwitz. (2022) Systemic Opportunities to Improve Older Pedestrian Safety: Merging Crash Data Analysis and a Stakeholder Workshop. Transportation Research Record: Journal of the Transportation Research Board 2676:10, pages 351-360.
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Alireza Rafiei, Amirhossein Oliaei Fasakhodi & Farshid Hajati. (2022) Pedestrian Collision Avoidance Using Deep Reinforcement Learning. International Journal of Automotive Technology 23:3, pages 613-622.
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Maria Rella Riccardi, Filomena Mauriello, Sobhan Sarkar, Francesco Galante, Antonella Scarano & Alfonso Montella. (2022) Parametric and Non-Parametric Analyses for Pedestrian Crash Severity Prediction in Great Britain. Sustainability 14:6, pages 3188.
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Emre Kuşkapan, Mohammad Ali Sahraei, Merve Kayaci Çodur & Muhammed Yasin Çodur. (2022) Pedestrian safety at signalized intersections: Spatial and machine learning approaches. Journal of Transport & Health 24, pages 101322.
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Milad Jamali-Dolatabad, Parvin Sarbakhsh & Homayoun Sadeghi-bazargani. (2021) Hidden patterns among the fatally injured pedestrians in an Iranian population: application of categorical principal component analysis (CATPCA). BMC Public Health 21:1.
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Željko Šarić, Xuecai Xu, Daiquan Xiao & Joso Vrkljan. (2021) Exploring injury severity of pedestrian-vehicle crashes at intersections: unbalanced panel mixed ordered probit model. European Transport Research Review 13:1.
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Shubo Wu, Quan Yuan, Zhongwei Yan & Qing Xu. (2021) Analyzing Accident Injury Severity via an Extreme Gradient Boosting (XGBoost) Model. Journal of Advanced Transportation 2021, pages 1-11.
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Subasish Das, Reuben Tamakloe, Hamsa Zubaidi, Ihsan Obaid & Ali Alnedawi. (2021) Fatal pedestrian crashes at intersections: Trend mining using association rules. Accident Analysis & Prevention 160, pages 106306.
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Shuzhang Guo & Zhi Liu. (2021) Pre-Hospital First Aid Strategy for Highway Traffic Accident. Journal of Emergency Management and Disaster Communications 02:01, pages 119-128.
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Murat ÖZEN. (2021) Yaya Kazalarının Yaralanma Şiddetinin İncelenmesi: İkili Lojistik Regresyon Modeli UygulamasıInjury Severity Level Examination of Pedestrian Crashes: An Application of Binary Logistic Regression. Teknik Dergi 32:3, pages 10859-10883.
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Li Song, Wei (David) Fan, Yang Li & Peijie Wu. (2021) Exploring pedestrian injury severities at pedestrian-vehicle crash hotspots with an annual upward trend: A spatiotemporal analysis with latent class random parameter approach. Journal of Safety Research 76, pages 184-196.
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Li Song, Yang Li, Wei (David) Fan & Peijie Wu. (2020) Modeling pedestrian-injury severities in pedestrian-vehicle crashes considering spatiotemporal patterns: Insights from different hierarchical Bayesian random-effects models. Analytic Methods in Accident Research 28, pages 100137.
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Zexue Wang, Qidong Wan, Yangmei Qin, Senqing Fan & Zeyi Xiao. (2019) Intelligent algorithm in a smart wearable device for predicting and alerting in the danger of vehicle collision. Journal of Ambient Intelligence and Humanized Computing 11:9, pages 3841-3852.
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Seung-Hoon Park & Min-Kyung Bae. (2020) Effects Influencing Pedestrian–Vehicle Crash Frequency by Severity Level: A Case Study of Seoul Metropolitan City, South Korea. Safety 6:2, pages 25.
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António Lobo, Sara Ferreira, Isabel Iglesias & António Couto. (2020) Daily and Latent Lagged Effects of Rainfall on Pedestrian–Vehicle Collisions. Weather, Climate, and Society 12:2, pages 279-291.
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Ciyun Lin, Dayong Wu, Hongchao Liu, Xueting Xia & Nischal Bhattarai. (2020) Factor Identification and Prediction for Teen Driver Crash Severity Using Machine Learning: A Case Study. Applied Sciences 10:5, pages 1675.
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Jun Liu, Alexander Hainen, Xiaobing Li, Qifan Nie & Shashi Nambisan. (2019) Pedestrian injury severity in motor vehicle crashes: An integrated spatio-temporal modeling approach. Accident Analysis & Prevention 132, pages 105272.
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Xinyi Wang & Sung Hoo Kim. (2019) Prediction and Factor Identification for Crash Severity: Comparison of Discrete Choice and Tree-Based Models. Transportation Research Record: Journal of the Transportation Research Board 2673:9, pages 640-653.
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Daiquan Xiao, Xuecai Xu & Li Duan. (2019) Spatial-Temporal Analysis of Injury Severity with Geographically Weighted Panel Logistic Regression Model. Journal of Advanced Transportation 2019, pages 1-15.
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Ho-Chul Park, Yang-Jun Joo, Seung-Young Kho, Dong-Kyu Kim & Byung-Jung Park. (2019) Injury Severity of Bus–Pedestrian Crashes in South Korea Considering the Effects of Regional and Company Factors. Sustainability 11:11, pages 3169.
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Virginia Martínez-Ruiz, Miriam Valenzuela-Martínez, Pablo Lardelli-Claret, Daniel Molina-Soberanes, Elena Moreno-Roldán & Eladio Jiménez-Mejías. (2019) Factors related to the risk of pedestrian fatality after a crash in Spain, 1993–2013. Journal of Transport & Health 12, pages 279-289.
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Sara Moridpour, Alireza Toran Pour & Tayebeh Saghapour. 2019. Big Data Analytics in Traffic and Transportation Engineering. Big Data Analytics in Traffic and Transportation Engineering 152 163 .
Xiaoqi Zhai, Helai Huang, N.N. Sze, Ziqi Song & Kai Kwong Hon. (2019) Diagnostic analysis of the effects of weather condition on pedestrian crash severity. Accident Analysis & Prevention 122, pages 318-324.
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Alireza Toran Pour, Sara Moridpour, Richard Tay & Abbas Rajabifard. (2017) Neighborhood Influences on Vehicle-Pedestrian Crash Severity. Journal of Urban Health 94:6, pages 855-868.
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Mariana Vilaça, Nélia Silva & Margarida C. Coelho. (2017) Statistical Analysis of the Occurrence and Severity of Crashes Involving Vulnerable Road Users. Transportation Research Procedia 27, pages 1113-1120.
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