Macro-level safety analysis of pedestrian crashes in Shanghai, China

•This study aims at investigating the association between pedestrian crashes and various roadway, socio-economic, and land-use features.•Bayesian Conditional Autoregressive models considering spatial correlation among Traffic Analysis Zones (TAZs) were established.•Seven spatial weight features were...

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Veröffentlicht in:	Accident analysis and prevention 2016-11, Vol.96, p.12-21
Hauptverfasser:	Wang, Xuesong, Yang, Junguang, Lee, Chris, Ji, Zhuoran, You, Shikai
Format:	Artikel
Sprache:	eng
Schlagworte:	Accidents, Traffic - statistics & numerical data Bayes Theorem Bayesian Conditional Autoregressive Model China Correlation Crashes Environment Design Humans Intersections Land use Mathematical models Models, Statistical Models, Theoretical Motor Vehicles - statistics & numerical data Pedestrian crashes Pedestrian safety Pedestrians Pedestrians - statistics & numerical data Risk Assessment - statistics & numerical data Safety - statistics & numerical data Spatial weight features TAZ-level safety analysis Traffic safety Transportation safety planning Urban Population - statistics & numerical data
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