Incorporating the Multinomial Logistic Regression in Vehicle Crash Severity Modeling: A Detailed Overview

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Journal of Transportation Technologies

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"Incorporating the Multinomial Logistic Regression in Vehicle Crash Severity Modeling: A Detailed Overview"
written by Azad Abdulhafedh,
published by Journal of Transportation Technologies, Vol.7 No.3, 2017

has been cited by the following article(s):

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[1]	The Impact of Road Geometric Formation on Traffic Crash and Its Severity Level Sustainability, 2022 DOI:10.3390/su14148475

[2]	The perception and determinants of agricultural technology adaptation of teff producers to climate change in North Shewa zone, Amhara Regional State, Ethiopia Cogent Economics & Finance, 2022 DOI:10.1080/23322039.2022.2095766

[3]	The perception and determinants of agricultural technology adaptation of teff producers to climate change in North Shewa zone, Amhara Regional State, Ethiopia Cogent Economics & Finance, 2022 DOI:10.1080/23322039.2022.2095766

[4]	The perception and determinants of agricultural technology adaptation of teff producers to climate change in North Shewa zone, Amhara Regional State, Ethiopia Cogent Economics & Finance, 2022 DOI:10.1080/23322039.2022.2095766

[5]	Crash Severity Analysis of Highways Based on Multinomial Logistic Regression Model, Decision Tree Techniques, and Artificial Neural Network: A Modeling Comparison Sustainability, 2021 DOI:10.3390/su13105670

[6]	Situational influencing factors on understanding cooperative actions in automated driving Transportation Research Part F: Traffic Psychology and Behaviour, 2020 DOI:10.1016/j.trf.2020.03.006

[7]	Barriers to Disability Inclusion: Social Needs and Discrimination in Mexico Latin American Policy, 2020 DOI:10.1111/lamp.12189

[8]	Barriers to Disability Inclusion: Social Needs and Discrimination in Mexico Latin American Policy, 2020 DOI:10.1111/lamp.12189

[9]	A Rare Event Modelling Approach to Assess Injury Severity Risk of Vulnerable Road Users Safety, 2019 DOI:10.3390/safety5020029

[10]	Multinomial logistic regression for prediction of vulnerable road users risk injuries based on spatial and temporal assessment International Journal of Injury Control and Safety Promotion, 2019 DOI:10.1080/17457300.2019.1645185

[11]	Study on Pedestrian Compliance Behavior at Vehicular Traffic Signals and Traffic-Police-Controlled Intersections International Journal of Intelligent Transportation Systems Research, 2019 DOI:10.1007/s13177-019-00208-y

[12]	Social interactions in traffic: The effect of external factors Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2018 DOI:10.1177/1541931218621022

[13]	Comparison of Factors Affecting Crash Severities in Hit-and-Run and Non-Hit-and-Run Crashes Journal of Advanced Transportation, 2018 DOI:10.1155/2018/8537131

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