Alcohol-related hot-spot analysis and prediction : final report.

Schneider IV, William H.; Stakleff, Brandon; Buser, Lauren

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Alcohol-related hot-spot analysis and prediction : final report.

2017-05-01
By Schneider IV, William H. ; Stakleff, Brandon ; Buser, Lauren

File Language:

English

Details

Creators:

Schneider IV, William H. ; Stakleff, Brandon ; Buser, Lauren
Corporate Creators:

University of Akron. Department of Civil Engineering
Corporate Contributors:

University of Minnesota. Center for Transportation Studies ; Roadway Safety Institute (UTC) ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
Subject/TRT Terms:
Publication/ Report Number:

CTS 17-04
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final report
Corporate Publisher:

University of Minnesota. Center for Transportation Studies ; Roadway Safety Institute (UTC)
Abstract:

This project developed methods to more accurately identify alcohol-related crash hot spots, ultimately allowing for more effective and efficient enforcement and safety campaigns. Advancements in accuracy came from improving the calculation of spatial autocorrelation and interpolation, the identification of spatio-temporal patterns, and the influence of geographical patterns on the spatial distribution of crashes. The project then used the location-based hot-spot maps created using these improved methods to develop a new method of patrolling for intoxicated drivers. This method guides officers to statistically significant locations where intoxicated drivers are most likely to be, allowing officers to be more accurate while patrolling. Additionally, this method allows officers to pass through more alcohol-related crash locations per minute and mile than current patrolling practices. By improving how officers patrol, individuals may be deterred from driving while intoxicated, and alcohol-related crashes may be ultimately reduced.
Format:

PDF
Funding:

DTRT13-G-UTC35
Download URL:

https://rosap.ntl.bts.gov/view/dot/32464/dot_32464_DS1.pdf
File Type:

[PDF - 5.09 MB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha256:45171c361f2f8ef6985fe3d407a231240fcca89e2c84a0b37628f475ec251d4f

File Language:

English

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