Meso-level hotspot identification for suburban arterials.

Wang, Xuesong; Pei, Yingying; Yang, Minming; Yuan, Jinghui

Wang, Xuesong; Pei, Yingying; Yang, Minming; Yuan, Jinghui.

Afiliação

Wang X; The Key Laboratory of Road and Traffic Engineering, Ministry of Education, China; School of Transportation Engineering, Tongji University, Shanghai, 201804, China. Electronic address: wangxs@tongji.edu.cn.
Pei Y; The Key Laboratory of Road and Traffic Engineering, Ministry of Education, China; School of Transportation Engineering, Tongji University, Shanghai, 201804, China.
Yang M; The Key Laboratory of Road and Traffic Engineering, Ministry of Education, China; School of Transportation Engineering, Tongji University, Shanghai, 201804, China; China Academy of Urban Planning & Design, Shanghai Branch, Shanghai 200335, China.
Yuan J; Department of Civil, Environmental, and Construction Engineering, University of Central Florida, FL, 32816, United States.

Accid Anal Prev ; 156: 106148, 2021 Jun.

Article em En | MEDLINE | ID: mdl-33905894

Assuntos

Acidentes de Trânsito; Planejamento Ambiental; Acidentes de Trânsito/prevenção & controle; Teorema de Bayes; Humanos; Modelos Estatísticos; Segurança

Palavras-chave

Bayesian conditional autoregressive model; Hotspot identification; Meso level; Potential for safety improvement; Suburban arterials

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Acidentes de Trânsito / Planejamento Ambiental Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Accid Anal Prev Ano de publicação: 2021 Tipo de documento: Article

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