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Traffic Injury Prevention Volume 17, 2016 - Issue 8
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Original Articles

Analyzing injury severity factors at highway railway grade crossing accidents involving vulnerable road users: A comparative study

Haniyeh GhomiSchool of Railway Engineering, Iran University of Science and Technology, Tehran, Iran
,
Morteza BagheriSchool of Railway Engineering, Iran University of Science and Technology, Tehran, IranCorrespondence[email protected]
,
Liping FuDepartment of Civil and Environmental Engineering, University of Waterloo, Waterloo, Ontario, Canada
&
Luis F. Miranda-MorenoDepartment of Civil and Applied Mechanics, McGill University, Montreal, Quebec, Canada
Pages 833-841 | Received 24 Jun 2015, Accepted 02 Feb 2016, Published online: 10 Sep 2016

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Haniyeh Ghomi & Mohamed Hussein. (2022) An integrated clustering and Bayesian approach to investigate the severity of pedestrian collisions at highway-railway grade crossings collisions. Journal of Transportation Safety & Security 14:11, pages 1865-1889.
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Shaojie Liu, Zijing Lin & Wei (David) Fan. (2022) Investigating contributing factors to injury severity levels in crashes involving pedestrians and cyclists using latent class clustering analysis and mixed logit models. Journal of Transportation Safety & Security 14:10, pages 1674-1701.
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Boniphace Kutela, Emmanuel Kidando, Angela E. Kitali, Sia Mwende, Neema Langa & Norris Novat. (2022) Exploring pre-crash gate violations behaviors of drivers at highway-rail grade crossings using a mixed multinomial logit model. International Journal of Injury Control and Safety Promotion 29:2, pages 226-238.
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Articles from other publishers (32)

Qiaoqiao Ren & Min Xu. (2024) Injury severity analysis of highway-rail grade crossing crashes in non-divided two-way traffic scenarios: A random parameters logit model. Multimodal Transportation 3:1, pages 100109.
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Jingyu Zhang, Fangyan Liu, Zhenqi Chen, Zhenhua Yu, Xingyao Xiao, Lei Shi & Zizheng Guo. (2023) A multi-level analysis on the causes of train-pedestrian collisions in Southwest China 2011–2020. Accident Analysis & Prevention 193, pages 107332.
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Antonella Scarano, Maria Rella Riccardi, Filomena Mauriello, Carmelo D'Agostino, Nicola Pasquino & Alfonso Montella. (2023) Injury severity prediction of cyclist crashes using random forests and random parameters logit models. Accident Analysis & Prevention 192, pages 107275.
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Chamroeun Se, Thanapong Champahom, Wimon Laphrom, Sajjakaj Jomnonkwao & Vatanavongs Ratanavaraha. (2023) Analysis of factors influencing crash injury severities at highway–rail grade crossings accommodating for unobserved heterogeneity. Frontiers in Built Environment 9.
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Marcelo Blumenfeld, Chen-Yu Lin, Anson Jack, Usman Tasiu Abdurrahman, Theodore Gerstein & Christopher P.L. Barkan. (2023) Towards measuring national railways’ safety through a benchmarking framework of transparency and published data. Safety Science 164, pages 106188.
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Antonella Scarano, Massimo Aria, Filomena Mauriello, Maria Rella Riccardi & Alfonso Montella. (2023) Systematic literature review of 10 years of cyclist safety research. Accident Analysis & Prevention 184, pages 106996.
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Neeraj Dhingra, Raj Bridgelall, Pan Lu, Joseph Szmerekovsky & Bhavana Bhardwaj. (2022) Ranking Risk Factors in Financial Losses From Railroad Incidents: A Machine Learning Approach. Transportation Research Record: Journal of the Transportation Research Board 2677:2, pages 299-309.
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Hamad ALawad & Sakdirat Kaewunruen. (2023) Unsupervised Machine Learning for Managing Safety Accidents in Railway Stations. IEEE Access 11, pages 83187-83199.
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Kwang-Kyun Lim. (2022) Analysis of Railroad Accident Prediction using Zero-truncated Negative Binomial Regression and Artificial Neural Network Model: A Case Study of National Railroad in South Korea. KSCE Journal of Civil Engineering 27:1, pages 333-344.
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Hadj-Mabrouk Habib. 2023. Transportation Energy and Dynamics. Transportation Energy and Dynamics 129 156 .
Shuang Gu, Keping Li, Tao Feng, Dongyang Yan & Yanyan Liu. (2022) The prediction of potential risk path in railway traffic events. Reliability Engineering & System Safety 222, pages 108409.
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Lu Gao, Pan Lu & Yihao Ren. (2021) A deep learning approach for imbalanced crash data in predicting highway-rail grade crossings accidents. Reliability Engineering & System Safety 216, pages 108019.
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Amin Keramati, Pan Lu, Yihao Ren, Denver Tolliver & Chengbo Ai. (2021) Investigating the effectiveness of safety countermeasures at highway-rail at-grade crossings using a competing risk model. Journal of Safety Research 78, pages 251-261.
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Edward Kozłowski, Anna Borucka, Andrzej Świderski & Przemysław Skoczyński. (2021) Classification Trees in the Assessment of the Road–Railway Accidents Mortality. Energies 14:12, pages 3462.
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Ran Yan, Dan Zhuge & Shuaian Wang. (2021) Development of Two Highly-Efficient and Innovative Inspection Schemes for PSC Inspection. Asia-Pacific Journal of Operational Research 38:03, pages 2040013.
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Kai Holländer, Mark Colley, Enrico Rukzio & Andreas Butz. (2021) A Taxonomy of Vulnerable Road Users for HCI Based On A Systematic Literature Review. A Taxonomy of Vulnerable Road Users for HCI Based On A Systematic Literature Review.
Habib Hadj-Mabrouk. 2021. Handbook of Research on Decision Sciences and Applications in the Transportation Sector. Handbook of Research on Decision Sciences and Applications in the Transportation Sector 124 146 .
Amin Keramati, Pan Lu, Amirfarrokh Iranitalab, Danguang Pan & Ying Huang. (2020) A crash severity analysis at highway-rail grade crossings: The random survival forest method. Accident Analysis & Prevention 144, pages 105683.
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Amin Keramati, Pan Lu, Xiaoyi Zhou & Denver Tolliver. (2020) A Simultaneous Safety Analysis of Crash Frequency and Severity for Highway-Rail Grade Crossings: The Competing Risks Method. Journal of Advanced Transportation 2020, pages 1-13.
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Tiancheng Cao, Wenxin Mu, Juanqiong Gou & Liyu Peng. (2020) A Study of Risk Relevance Reasoning Based on a Context Ontology of Railway Accidents. Risk Analysis 40:8, pages 1589-1611.
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Amin Keramati, Pan Lu, Denver Tolliver & Xingju Wang. (2020) Geometric effect analysis of highway-rail grade crossing safety performance. Accident Analysis & Prevention 138, pages 105470.
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Habib Hadj-Mabrouk. (2020) Analysis and prediction of railway accident risks using machine learning. AIMS Electronics and Electrical Engineering 4:1, pages 19-46.
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Ahmed Lasisi, Pengyu Li & Jian Chen. (2020) Hybrid Machine Learning and Geographic Information Systems Approach — A Case for Grade Crossing Crash Data Analysis. Advances in Data Science and Adaptive Analysis 12:01, pages 2050003.
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Jintao Liu, Felix Schmid, Wei Zheng & Jiebei Zhu. (2019) Understanding railway operational accidents using network theory. Reliability Engineering & System Safety 189, pages 218-231.
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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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Yinhai Wang & Ziqiang Zeng. 2019. Data-Driven Solutions to Transportation Problems. Data-Driven Solutions to Transportation Problems 1 10 .
Ravdeep Kour, Adithya Thaduri, Sarbjeet Singh & Alberto Martinetti. 2019. Transportation Systems. Transportation Systems 73 91 .
Changxi Ma, Wei Hao, Wang Xiang & Wei Yan. (2018) The Impact of Aggressive Driving Behavior on Driver-Injury Severity at Highway-Rail Grade Crossings Accidents. Journal of Advanced Transportation 2018, pages 1-10.
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Shahram Heydari, Liping Fu, Lalita Thakali & Lawrence Joseph. (2018) Benchmarking regions using a heteroskedastic grouped random parameters model with heterogeneity in mean and variance: Applications to grade crossing safety analysis. Analytic Methods in Accident Research 19, pages 33-48.
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Meng Zhang, Asad J. Khattak, Jun Liu & David Clarke. (2018) A comparative study of rail-pedestrian trespassing crash injury severity between highway-rail grade crossings and non-crossings. Accident Analysis & Prevention 117, pages 427-438.
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Jun Liu & Asad J. Khattak. (2018) Are gates at rail grade crossings always safe? Examining motorist gate-violation behaviors using path analysis. Transportation Research Part F: Traffic Psychology and Behaviour 55, pages 314-324.
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Jun Liu & Asad J. Khattak. (2017) Gate-violation behavior at highway-rail grade crossings and the consequences: Using geo-Spatial modeling integrated with path analysis. Accident Analysis & Prevention 109, pages 99-112.
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