Pedestrian crash analysis with latent class clustering method

Accident Analysis and Prevention

Volumn 124, Issue , 2019, Pages 50-57

  Sun, Ming ^a   Sun, Xiaoduan ^a   Shan, Donghui ^b  

^a University of Louisiana at Lafayette   (United States)

^b CCCC FIRST HIGHWAY CONSULTANTS CO LTD   (China)

Author keywords

Cluster analysis; Contributing factors; Latent class; Pedestrian safety; Severity

Indexed keywords

CLUSTER ANALYSIS; INFORMATION ANALYSIS;

CLUSTERING METHODS; CONTRIBUTING FACTOR; CRASH CHARACTERISTICS; DATA ANALYSIS METHODS; GREEN TRANSPORTATIONS; LATENT CLASS; PEDESTRIAN FATALITIES; SEVERITY;

PEDESTRIAN SAFETY;

EPIDEMIOLOGY; FEMALE; HUMAN; LATENT CLASS ANALYSIS; LOUISIANA; MALE; MORTALITY; PEDESTRIAN; PREVENTION AND CONTROL; RISK ASSESSMENT; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; FEMALE; HUMANS; LATENT CLASS ANALYSIS; LOGISTIC MODELS; LOUISIANA; MALE; PEDESTRIANS; RISK ASSESSMENT;

EID: 85059533581     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2018.12.016     Document Type: Article

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