Injury severity analysis of single-vehicle and two-vehicle crashes with electric scooters: A random parameters approach with heterogeneity in means and variances.

Gao, Dongsheng; Zhang, Xiaoqiang

Gao, Dongsheng; Zhang, Xiaoqiang.

Afiliación

Gao D; School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, People's Republic of China. Electronic address: dsgao@my.swjtu.edu.cn.
Zhang X; School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, People's Republic of China; National Engineering Laboratory of Application Technology of Integrated Transportation Big Data, Southwest Jiaotong University, Chengdu 610031, People's Republic of China; National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, People's Republic of China. Electronic address: xqzhang@swjtu.edu.cn.

Accid Anal Prev ; 195: 107408, 2024 Feb.

Article en En | MEDLINE | ID: mdl-38043213

Asunto(s)

Peatones; Heridas y Lesiones; Humanos; Masculino; Accidentes de Tránsito; Bases de Datos Factuales; Modelos Logísticos; Transportes; Heridas y Lesiones/epidemiología; Femenino

Palabras clave

Electric scooter crashes; Heterogeneity in means and variances; Injury severity; Random parameters logit model; Single-vehicle crashes; Two-vehicle crashes

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Heridas y Lesiones / Peatones Límite: Female / Humans / Male Idioma: En Revista: Accid Anal Prev Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido

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