Investigating proximity of crash locations to aging pedestrian residences.

Haule, Henrick J; Sando, Thobias; Kitali, Angela E; Richardson, Robert

Haule, Henrick J; Sando, Thobias; Kitali, Angela E; Richardson, Robert.

Affiliation

Haule HJ; Department of Civil & Environmental Engineering, Florida International University, 10555, West Flagler, United States. Electronic address: hhaul001@fiu.edu.
Sando T; School of Engineering, University of North Florida, 1 UNF Drive, Jacksonville, FL, 32224, United States. Electronic address: t.sando@unf.edu.
Kitali AE; Department of Civil & Environmental Engineering, Florida International University, 10555, West Flagler, United States. Electronic address: akita002@fiu.edu.
Richardson R; School of Engineering, University of North Florida, 1 UNF Drive, Jacksonville, FL, 32224, United States. Electronic address: r.richardson@unf.edu.

Accid Anal Prev ; 122: 215-225, 2019 Jan.

Article in En | MEDLINE | ID: mdl-30390517

Subject(s)

Accidents, Traffic/statistics & numerical data; Pedestrians/statistics & numerical data; Residence Characteristics; Aged; Female; Florida/epidemiology; Humans; Linear Models; Male; Risk Factors; Spatial Analysis; Wounds and Injuries/epidemiology

Key words

Elderly pedestrians; GIS-based method; Generalized linear mixed model (GLMM); Proximity

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Accidents, Traffic / Residence Characteristics / Pedestrians Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male Country/Region as subject: America do norte Language: En Journal: Accid Anal Prev Year: 2019 Document type: Article Country of publication: United kingdom

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