An empirical tool to evaluate the safety of cyclists: Community based, macro-level collision prediction models using negative binomial regression

Accident Analysis and Prevention

Volumn 61, Issue , 2013, Pages 129-137

  Wei, Feng ^a   Lovegrove, Gordon ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Bicycle safety; Bicycle use levels; Cyclists; Generalized linear regression; Macro level collision prediction models; Negative binomial regression

Indexed keywords

BICYCLE SAFETY; BRITISH COLUMBIA , CANADA; COLLISION PREDICTION MODEL; CYCLISTS; DEVELOPMENT AND APPLICATIONS; LINEAR REGRESSION METHODS; NEGATIVE BINOMIAL REGRESSION; SUSTAINABLE TRANSPORTATION;

ACCIDENT PREVENTION; BICYCLES; DIGITAL STORAGE; MATHEMATICAL MODELS; MOTOR TRANSPORTATION; REGRESSION ANALYSIS; TRAFFIC SIGNALS;

SPORTING GOODS;

ARTICLE; BICYCLE; BICYCLE SAFETY; BICYCLE USE LEVELS; BINOMIAL DISTRIBUTION; CANADA; CYCLISTS; ENVIRONMENTAL PLANNING; FEMALE; GENERALIZED LINEAR REGRESSION; HUMAN; MACRO-LEVEL COLLISION PREDICTION MODELS; MALE; NEGATIVE BINOMIAL REGRESSION; RISK FACTOR; SAFETY; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT;

BICYCLE SAFETY; BICYCLE USE LEVELS; CYCLISTS; GENERALIZED LINEAR REGRESSION; MACRO-LEVEL COLLISION PREDICTION MODELS; NEGATIVE BINOMIAL REGRESSION;

ACCIDENTS, TRAFFIC; BICYCLING; BINOMIAL DISTRIBUTION; BRITISH COLUMBIA; ENVIRONMENT DESIGN; FEMALE; HUMANS; LINEAR MODELS; MALE; RISK FACTORS; SAFETY;

EID: 84888293605     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2012.05.018     Document Type: Article

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