Geographically-weighted regression models for improved predictability of urban intersection vehicle crashes

T and DI Congress 2011: Integrated Transportation and Development for a Better Tomorrow - Proceedings of the 1st Congress of the Transportation and Development Institute of ASCE

Volumn , Issue , 2011, Pages 1315-1329

  Li, Zongzhi ^a   Lee, Yongdoo ^a   Lee, Sang Hyuk ^a   Valiou, Eirini ^a  

^a Illinois Institute of Technology   (United States)

Author keywords

Intersections; Predictions; Regression models; Traffic accidents; Urban areas

Indexed keywords

CHICAGO; CRASH MODELS; CRASH PREDICTION; EXPLANATORY VARIABLES; GLOBAL REGRESSION ANALYSIS; HOUSEHOLD INCOME; IMPROVED MODELS; IMPROVED PREDICTABILITY; MONTE CARLO TESTS; ORDINARY LEAST SQUARES; PREDICTIONS; PROPERTY DAMAGE ONLY; REGRESSION MODELS; SPATIAL VARIABILITY; STATISTICAL MODELS; TRAFFIC ACCIDENTS; URBAN AREAS; URBAN INTERSECTIONS; VEHICLE CRASHES; WEIGHTED REGRESSION;

ACCIDENTS; FORECASTING; REGRESSION ANALYSIS; ROADS AND STREETS;

ANALYSIS OF VARIANCE (ANOVA);

EID: 79955455477     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41167(398)125     Document Type: Conference Paper

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