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Title:Geostatistical Approach to Detect Traffic Accident Hot Spots and Clusters in North Dakota
Authors:Mohammad M. Molla, Matthew L. Stone, and EunSu Lee
Publication Date:Nov 2014
Report #:DP-276
TRID #:01548572
Keywords:cluster analysis, crash analysis, crash data, fatalities, high risk locations, traffic crashes, traffic safety
Type:Research Report – Department Publications



This study investigates geostatistical approaches using ordinary Kriging and clustering analysis for traffic crash data in order to identify the traffic accident hot spots in North Dakota counties. The research analyzes 37 years (1975–2011) of fatality crash data available from a U.S. National Highway Traffic Safety Administration official. The resulting geostatistical and tracking analyst model, based on single linkage method clustering, discovered significant facts and features and yielded critical threshold zones for higher accident prone counties/areas in North Dakota counties. Therefore, there is an avenue for improving traffic safety; consequentially, the outcomes of this research would facilitate the efforts or relevant agencies/industry in order to make better decisions for traffic safety planning, and administration.

How to Cite

Molla, Mohammad M., Matthew L. Stone, and EunSu Lee. Geostatistical Approach to Detect Traffic Accident Hot Spots and Clusters in North Dakota, DP-276. North Dakota State University, Fargo: Upper Great Plains Transportation Institute, 2014.

NDSU Dept 2880P.O. Box 6050Fargo, ND 58108-6050