Identifying crash-prone locations with quantile regression

Accident Analysis and Prevention

Volumn 42, Issue 6, 2010, Pages 1531-1537

  Qin, Xiao ^a   Ng, Marie ^b   Reyes, Perla E ^c  

^a South Dakota State University   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c University of Wisconsin   (United States)

Author keywords

Confidence interval; Heterogeneity; Poisson gamma; Quantile regression

Indexed keywords

CONFIDENCE INTERVAL; CRASH DATA; CRASH MODELING; HETEROGENEITY; POISSON-GAMMA; QUANTILE REGRESSION; REGRESSION TECHNIQUES; SAFETY IMPROVEMENT; SAFETY ISSUES; SKEWED DISTRIBUTION;

REGRESSION ANALYSIS;

ARTICLE; CITY PLANNING; ENVIRONMENTAL PLANNING; FORECASTING; HUMAN; ORGANIZATION AND MANAGEMENT; POISSON DISTRIBUTION; POLICY; REGRESSION ANALYSIS; RISK ASSESSMENT; SAFETY; STATISTICS; TRAFFIC ACCIDENT; UNITED STATES;

ACCIDENTS, TRAFFIC; CITY PLANNING; ENVIRONMENT DESIGN; FORECASTING; HUMANS; POISSON DISTRIBUTION; PUBLIC POLICY; REGRESSION ANALYSIS; RISK ASSESSMENT; SAFETY MANAGEMENT; UNITED STATES;

EID: 77955983203     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2010.03.009     Document Type: Article

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