Modelling area-wide count outcomes with spatial correlation and heterogeneity: An analysis of London crash data

Accident Analysis and Prevention

Volumn 40, Issue 4, 2008, Pages 1486-1497

  Quddus, Mohammed A ^a  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

Bayesian hierarchical models; Classical spatial models; Negative binomial models; Spatial correlation; Uncorrelated heterogeneity

Indexed keywords

BAYESIAN NETWORKS; COMPUTER NETWORKS; CORRELATION METHODS; FOOD PROCESSING; HEALTH; HIERARCHICAL SYSTEMS; MODAL ANALYSIS; MOTOR TRANSPORTATION; NIOBIUM; REGRESSION ANALYSIS; ROADS AND STREETS;

BAYESIAN HIERARCHICAL MODELS; BAYESIAN MODELLING; CRASH DATA; ECONOMETRIC MODELING; ELSEVIER (CO); GREATER LONDON; METROPOLITAN AREAS; NEGATIVE BINOMIALS; REGRESSION MODELLING; ROAD INFRASTRUCTURES; ROAD USERS; SERIOUS INJURIES; SPATIAL AGGREGATION; SPATIAL CORRELATION (SC); SPATIAL DEPENDENCE; SPATIAL MODELLING; SPATIAL PATTERNING; TRAFFIC CONDITIONS; TRAFFIC CRASHES; TWO TYPES; UNCORRELATED; UNOBSERVED HETEROGENEITY;

MATHEMATICAL MODELS;

ALGORITHM; ARTICLE; BAYES THEOREM; CROSS-SECTIONAL STUDY; HUMAN; INJURY; MIDDLE AGED; REPRODUCIBILITY; SOCIOECONOMICS; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT; UNITED KINGDOM; URBAN POPULATION;

ACCIDENTS, TRAFFIC; ALGORITHMS; BAYES THEOREM; CROSS-SECTIONAL STUDIES; HUMANS; LOGISTIC MODELS; LONDON; MIDDLE AGED; MODELS, ECONOMETRIC; REPRODUCIBILITY OF RESULTS; SOCIOECONOMIC FACTORS; URBAN POPULATION; WOUNDS AND INJURIES;

EID: 46149122279     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2008.03.009     Document Type: Article

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