Evaluating the impact of connectivity, continuity, and topography of sidewalk network on pedestrian safety

Accident Analysis and Prevention

Volumn 107, Issue , 2017, Pages 117-125

  Osama, Ahmed ^a   Sayed, Tarek ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Macro level collision prediction models; Network indicators; Pedestrian motorist crashes

Indexed keywords

ACCIDENTS; BAYESIAN NETWORKS; PAVEMENTS;

BAYESIAN TECHNIQUES; COLLISION PREDICTION MODEL; NETWORK CONNECTIVITY; PEDESTRIAN CRASHES; PEDESTRIAN NETWORK; PEDESTRIAN-MOTORIST CRASHES; SAFETY IN NUMBERS; SPATIAL VARIABILITY;

PEDESTRIAN SAFETY;

BAYES THEOREM; BRITISH COLUMBIA; ENVIRONMENTAL PLANNING; HUMAN; INJURIES; PEDESTRIAN; PREVENTION AND CONTROL; STANDARDS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TRAFFIC ACCIDENT; WALKING;

ACCIDENTS, TRAFFIC; BAYES THEOREM; BRITISH COLUMBIA; ENVIRONMENT DESIGN; HUMANS; LINEAR MODELS; PEDESTRIANS; WALKING;

EID: 85027399937     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2017.08.001     Document Type: Article

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