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Traffic Injury Prevention Volume 19, 2018 - Issue 2
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Original Articles

Investigation of hit-and-run crash occurrence and severity using real-time loop detector data and hierarchical Bayesian binary logit model with random effects

Meiquan XieSchool of Transportation and Logistics, Central South University of Forestry and Technology, Changsha, Hunan, ChinaView further author information
,
Wen ChengDepartment of Civil Engineering, California State Polytechnic University, Pomona, Pomona, CaliforniaCorrespondence[email protected]
View further author information
,
Gurdiljot Singh GillDepartment of Civil Engineering, California State Polytechnic University, Pomona, Pomona, CaliforniaView further author information
,
Jiao ZhouDepartment of Civil Engineering, California State Polytechnic University, Pomona, Pomona, CaliforniaView further author information
,
Xudong JiaDepartment of Civil Engineering, California State Polytechnic University, Pomona, Pomona, CaliforniaView further author information
&
Simon ChoiSouthern California Association of Governments, Los Angeles, CaliforniaView further author information
Pages 207-213 | Received 20 Nov 2016, Accepted 20 Aug 2017, Published online: 02 Nov 2017

Citations (19)

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Read on this site (5)

Zulqarnain H. Khattak & Asad J. Khattak. (2023) Using behavioral data to understand shared mobility choices of electric and hybrid vehicles. International Journal of Sustainable Transportation 17:2, pages 163-180.
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Zulqarnain H. Khattak & Asad J. Khattak. (2023) Spatial and unobserved heterogeneity in consumer preferences for adoption of electric and hybrid vehicles: A Bayesian hierarchical modeling approach. International Journal of Sustainable Transportation 17:1, pages 1-14.
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Sathish Kumar Sivasankaran & Venkatesh Balasubramanian. (2022) Investigation of factors contributing to pedestrian hit-and-run crashes in India. Journal of Transportation Safety & Security 14:3, pages 382-403.
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Wen Cheng, Mankirat Singh, Edward Clay, Jerry Kwong, Menglu Cao, Yihua Li & Aaron Truong. (2021) Exploring temporal interactions of crash counts in California using distinct log-linear contingency table models. International Journal of Injury Control and Safety Promotion 28:3, pages 360-375.
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Siying Zhu. (2020) Investigation of vehicle-bicycle hit-and-run crashes. Traffic Injury Prevention 21:7, pages 506-511.
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Articles from other publishers (14)

Yichi Cheng & Yongping Zhang. (2023) Comparative evaluation for alternative variable importance rankings for pedestrian injury severities. Journal of Physics: Conference Series 2595:1, pages 012015.
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Bahuguna Dalai & Vishrut S. Landge. (2021) Risky zones in urban area: an analysis using fault tree and risk matrix method. Innovative Infrastructure Solutions 7:1.
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Zulqarnain H. Khattak, John S. Miller & Peter Ohlms. (2021) Ride-hailing and taxi versus walking: Long term forecasts and implications from large-scale behavioral data. Journal of Transport & Health 22, pages 101121.
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Siying Zhu & Jianwu Wan. (2021) Cost-sensitive learning for semi-supervised hit-and-run analysis. Accident Analysis & Prevention 158, pages 106199.
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Zulqarnain H. Khattak, Michael D. Fontaine, Wan Li, Asad J. Khattak & Thomas Karnowski. (2021) Investigating the relation between instantaneous driving decisions and safety critical events in naturalistic driving environment. Accident Analysis & Prevention 156, pages 106086.
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Xinguo Jiang, Mingqiang Han, Runhua Guo, Guopeng Zhang, Yingfei Fan, Xiang Li, Wei Bai, Mengmeng Wei & Qi Liang. (2021) Examining the underlying exposures of hit-and-run and non-hit-and-run crashes. Journal of Transport & Health 20, pages 100995.
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Xuecai Xu, Dong Huang & Fengjun Guo. (2020) Addressing spatial heterogeneity of injury severity using Bayesian multilevel ordered probit model. Research in Transportation Economics 80, pages 100748.
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Xuecai Xu, Xiangjian Luo, Changxi Ma & Daiquan Xiao. (2020) Spatial-temporal analysis of pedestrian injury severity with geographically and temporally weighted regression model in Hong Kong. Transportation Research Part F: Traffic Psychology and Behaviour 69, pages 286-300.
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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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Bei Zhou, Zongzhi Li, Shengrui Zhang, Xinfen Zhang, Xin Liu & Qiannan Ma. (2019) Analysis of Factors Affecting Hit-and-Run and Non-Hit-and-Run in Vehicle-Bicycle Crashes: A Non-Parametric Approach Incorporating Data Imbalance Treatment. Sustainability 11:5, pages 1327.
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Amirfarrokh Iranitalab & Aemal Khattak. (2018) Train-Level and Car-Level Modeling of Hazardous Materials Release in Railroad Incidents. Transportation Research Record: Journal of the Transportation Research Board 2672:9, pages 249-260.
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Bei Zhou, Zongzhi Li & Shengrui Zhang. (2018) Comparison of Factors Affecting Crash Severities in Hit-and-Run and Non-Hit-and-Run Crashes. Journal of Advanced Transportation 2018, pages 1-11.
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Wen Cheng, Gurdiljot Singh Gill, Mohan Dasu & Xudong Jia. (2018) An empirical evaluation of multivariate spatial crash frequency models. Accident Analysis & Prevention 119, pages 290-306.
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Shamsunnahar Yasmin, Naveen Eluru, Ling Wang & Mohamed A. Abdel-Aty. (2018) A joint framework for static and real-time crash risk analysis. Analytic Methods in Accident Research 18, pages 45-56.
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