Factors affecting motorcycle crash casualty severity at signalized and non-signalized intersections in Ghana: Insights from a data mining and binary logit regression approach.

Tamakloe, Reuben; Das, Subasish; Nimako Aidoo, Eric; Park, Dongjoo

Tamakloe, Reuben; Das, Subasish; Nimako Aidoo, Eric; Park, Dongjoo.

Affiliation

Tamakloe R; Department of Transportation Engineering, The University of Seoul, 163 Seoulsiripdae-ro Dongdaemun-gu, Seoul 02504, South Korea. Electronic address: drtamakloe@uos.ac.kr.
Das S; Texas A&M Transportation Institute, College Station, TX 77843, USA. Electronic address: s-das@tti.tamu.edu.
Nimako Aidoo E; Department of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. Electronic address: en.aidoo@yahoo.com.
Park D; Department of Transportation Engineering & Department of Urban Big Data Convergence, The University of Seoul, 163 Seoulsiripdae-ro Dongdaemun-gu, Seoul 02504, South Korea. Electronic address: djpark@uos.ac.kr.

Accid Anal Prev ; 165: 106517, 2022 Feb.

Article in En | MEDLINE | ID: mdl-34896907

Subject(s)

Motorcycles; Wounds and Injuries; Accidents, Traffic; Data Mining; Ghana/epidemiology; Humans; Logistic Models; Wounds and Injuries/epidemiology

Key words

Data mining; Developing countries; Injury severity; Intersection; Motorcycle; Safety

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Wounds and Injuries / Motorcycles Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Africa Language: En Journal: Accid Anal Prev Year: 2022 Document type: Article Country of publication: United kingdom

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