Multi-level hot zone identification for pedestrian safety.

Lee, Jaeyoung; Abdel-Aty, Mohamed; Choi, Keechoo; Huang, Helai

Lee, Jaeyoung; Abdel-Aty, Mohamed; Choi, Keechoo; Huang, Helai.

Affiliation

Lee J; Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, Florida 32816-2450, United States. Electronic address: jaeyoung@knights.ucf.edu.
Abdel-Aty M; Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, Florida 32816-2450, United States.
Choi K; Department of Transportation Systems Engineering, Ajou University, Suwon 443-749, Republic of Korea.
Huang H; Urban Transport Research Center, School of Traffic and Transportation Engineering, Central South University, Changsha, Hunan 410075, PR China.

Accid Anal Prev ; 76: 64-73, 2015 Mar.

Article in En | MEDLINE | ID: mdl-25603547

Subject(s)

Accidents, Traffic/mortality; Accidents, Traffic/prevention & control; Environment Design/statistics & numerical data; Pedestrians; Risk Assessment/statistics & numerical data; Safety/statistics & numerical data; Bayes Theorem; Humans; Models, Statistical; Models, Theoretical; Pedestrians/education; Poisson Distribution; United States

Key words

Bayesian approach; CAR; Gaussian conditional autoregressive; Macroscopic analysis; Pedestrian safety; Poisson lognormal model; Screening; Simultaneous equations modeling; Spatial error modeling

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Full text: 1 Database: MEDLINE Main subject: Safety / Accidents, Traffic / Risk Assessment / Environment Design / Pedestrians Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Accid Anal Prev Year: 2015 Type: Article

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