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

Accident Analysis and Prevention

Volumn 96, Issue , 2016, Pages 12-21

  Wang, Xuesong ^a,b   Yang, Junguang ^a   Lee, Chris ^c   Ji, Zhuoran ^a   You, Shikai ^a  

^a TONGJI UNIVERSITY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c UNIVERSITY OF WINDSOR   (Canada)

Author keywords

Bayesian Conditional Autoregressive Model; Pedestrian crashes; Spatial weight features; TAZ level safety analysis; Transportation safety planning

Indexed keywords

ACCIDENTS; ECONOMICS; GEOMETRY; LAND USE; TRAFFIC CONTROL; URBAN PLANNING;

CONDITIONAL AUTOREGRESSIVE MODELS; PEDESTRIAN CRASHES; SAFETY ANALYSIS; SPATIAL WEIGHT FEATURES; TRANSPORTATION SAFETY;

PEDESTRIAN SAFETY;

BAYES THEOREM; CHINA; ENVIRONMENTAL PLANNING; HUMAN; MOTOR VEHICLE; PEDESTRIAN; RISK ASSESSMENT; SAFETY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL; TRAFFIC ACCIDENT; URBAN POPULATION;

ACCIDENTS, TRAFFIC; BAYES THEOREM; CHINA; ENVIRONMENT DESIGN; HUMANS; MODELS, STATISTICAL; MODELS, THEORETICAL; MOTOR VEHICLES; PEDESTRIANS; RISK ASSESSMENT; SAFETY; URBAN POPULATION;

EID: 84979530157     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2016.07.028     Document Type: Article

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