Influencing factors for right turn lane crash frequency based on geographically and temporally weighted regression models.

Ling, Lu; Zhang, Wenbo; Bao, Jie; Ukkusuri, Satish V

Ling, Lu; Zhang, Wenbo; Bao, Jie; Ukkusuri, Satish V.

Afiliação

Ling L; Lyles School of Civil Engineering, Purdue University 550 Stadium Mall Drive, West Lafayette, IN 47906, USA. Electronic address: ling58@purdue.edu.
Zhang W; School of Transportation, Southeast University, No. 2 Southeast University Road, Jiangning District, Nanjing 211189, China. Electronic address: wenbozhang@seu.edu.cn.
Bao J; National Key Laboratory of Air Traffic Flow Management, Civil Aviation College, Nanjing University of Aeronautics and Astronautics, Jiangjun Road No. 29, Nanjing 211106, China. Electronic address: jiebao@nuaa.edu.cn.
Ukkusuri SV; Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47906, USA. Electronic address: sukkusur@purdue.edu.

J Safety Res ; 86: 191-208, 2023 09.

Article em En | MEDLINE | ID: mdl-37718046

Assuntos

Modelos Estatísticos; Pedestres; Humanos; Indiana

Palavras-chave

Crash frequency; Geographically temporally weighted negative binomial regression; Geometric design; Right turn lane; Spatiotemporal effects

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Pedestres Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: J Safety Res Ano de publicação: 2023 Tipo de documento: Article

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