Development of an automated GIS tool to identify and rank high pedestrian crash zones

Pedestrian safety is an important concern on many urban streets in the United States. Identification of high pedestrian crash zones is an important component to help allocate resources to enhance pedestrian safety by reducing the number and severity of crashes in a cost effective way. High crash zones identify the locations that pose high risks to pedestrians. The main objective of this research is to develop an automated Geographical Information Systems (GIS) based tool to identify and rank high pedestrian crash zones. The tool identifies spatial concentration patterns and high pedestrian crash zones, extracts the crash characteristics and population details of selected zones, computes crash rates, and develops criteria to rank the high crash zones. The tool provides user friendly interfaces for data input and to automate various repetitive tasks. The tool was developed using commercial off-the-shelf software.

Name thesis:degree_name

Master of Engineering (ME)

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Civil and Environmental Engineering

Grantor dc:publisher

University of Nevada, Las Vegas

Year

2003

Author dc:creator

• Krishna Kumar Kannimangalam, Vanjeeswaran

Contributors dc:contributor

• Shashi Nambisan

Statement dc:rights

• IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

Language dc:language

English

Identifier

https://oasis.library.unlv.edu/rtds/1726

OAI identifier oai:identifier

oai:oasis.library.unlv.edu:rtds-2725