Identification and Ranking of High Pedestrian Crash Zones Using GIS


Lucio Soibelman; Peña-Mora Feniosky

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Computing in Civil Engineering


American Society of Civil Engineers

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Reston, VA

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Identification of high risk zones is important to develop and implement strategies to enhance pedestrian safety. While the analysis of motor vehicle related crashes has seen the use of Geographic Information Systems (GIS), pedestrian related safety analyses have not taken as much advantage of the capabilities afforded by GIS programs. The objectives of this research are to present a methodology to identify and rank high pedestrian crash zones, and to introduce a GIS based tool based on the methodology. Capabilities of the tool include the following: identify spatial concentration patterns, select high pedestrian crash zones, extract crash and demographic characteristics of the selected zones, compute crash rates, and rank the high crash zones. Data from crashes and incidents reported by law enforcement personnel and street network characteristics are used by the tool. The tool has user friendly interfaces for data input and customizes various repetitive tasks. While the application of the tool is illustrated using data from Carson City, Nevada, it is readily adaptable for analysis of data for any other location.


Geographic information systems; Pedestrian accidents; Pedestrians; Pedestrians--Safety measures; Walking


Civil and Environmental Engineering | Civil Engineering | Construction Engineering and Management | Data Storage Systems | Geographic Information Sciences | Operations Research, Systems Engineering and Industrial Engineering | Other Civil and Environmental Engineering | Risk Analysis | Systems Engineering




Conference held: Cancun, Mexico, July 12-15, 2005


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