The effect of road network patterns on pedestrian safety: A zone-based Bayesian spatial modeling approach

Accident Analysis and Prevention

Volumn 99, Issue , 2017, Pages 114-124

  Guo, Qiang ^a   Xu, Pengpeng ^b   Pei, Xin ^a   Wong, S C ^b   Yao, Danya ^a  

^a TSINGHUA UNIVERSITY   (China)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Bayesian spatial model; Global integration; Pedestrian safety; Road network connectivity; Road network patterns; Zone based approach

Indexed keywords

ACCIDENTS; CRASHWORTHINESS; INTEGRATION; KNOWLEDGE BASED SYSTEMS; MODEL AUTOMOBILES; MOTOR TRANSPORTATION; ROADS AND STREETS; TRAFFIC CONTROL; TRANSPORTATION;

CONDITIONAL AUTOREGRESSIVE; GLOBAL INTEGRATION; NEIGHBORHOOD STRUCTURE; ROAD NETWORK; SPATIAL MODELING; TOPOLOGICAL STRUCTURE; TRAFFIC ANALYSIS ZONES; ZONE-BASED;

PEDESTRIAN SAFETY;

BAYES THEOREM; DEMOGRAPHY; ENVIRONMENTAL PLANNING; HONG KONG; HUMAN; PEDESTRIAN; POPULATION DENSITY; PREVENTION AND CONTROL; RISK ASSESSMENT; SAFETY; STANDARDS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL; TRAFFIC ACCIDENT; URBAN POPULATION;

ACCIDENTS, TRAFFIC; BAYES THEOREM; ENVIRONMENT DESIGN; HONG KONG; HUMANS; MODELS, STATISTICAL; MODELS, THEORETICAL; PEDESTRIANS; POPULATION DENSITY; RESIDENCE CHARACTERISTICS; RISK ASSESSMENT; SAFETY; URBAN POPULATION;

EID: 84998814328     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2016.11.002     Document Type: Article

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