GIS-based method for detecting high-crash-risk road segments using network kernel density estimation

Geo-Spatial Information Science

Volumn 16, Issue 2, 2013, Pages 113-119

  Mohaymany, Afshin Shariat ^a   Shahri, Matin ^b   Mirbagheri, Babak ^b  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b SHAHID BEHESHTI UNIVERSITY   (Iran)

Author keywords

Crash density; NKDE; Spatial temporal analysis

Indexed keywords

ACCIDENT PREVENTION; BUDGET CONTROL; GEOGRAPHIC INFORMATION SYSTEMS; HIGHWAY PLANNING; LOCATION; MOTOR TRANSPORTATION; ROADS AND STREETS; STATISTICS;

IDENTIFICATION METHOD; KERNEL DENSITY ESTIMATION; LOCAL ENVIRONMENTS; NKDE; NONPARAMETRIC APPROACHES; SECOND ORDER EFFECT; SPATIAL AUTOCORRELATIONS; SPATIAL TEMPORAL ANALYSIS;

RISK PERCEPTION;

ACCIDENT PREVENTION; AUTOCORRELATION; DETECTION METHOD; GIS; NUMERICAL MODEL; RISK ASSESSMENT; SPATIAL DATA; SPATIOTEMPORAL ANALYSIS; TRAFFIC MANAGEMENT; TRANSPORTATION SAFETY; VISUALIZATION;

IRAN; MARKAZI;

EID: 84880984108     PISSN: 10095020     EISSN: None     Source Type: Journal    
DOI: 10.1080/10095020.2013.766396     Document Type: Article

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