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Title:

An Integrated Spatio-Temporal Approach to Examine the Consequences of Driving under the Influence (DUI) in Crashes

Accession Number:

01698282

Record Type:

Component

Abstract:

Driving under the influence (DUI) is illegal in the United States, because a driver’s mental and motor skills can be seriously impaired by alcohol or drugs. Consequently DUI violators’ involvement in severe crashes is high. Motivated by the spatial and temporal nature of traffic crashes, this study introduces an integrated spatio-temporal approach to analyzing highway safety data. Specifically, this study estimates Geographically and Temporally Weighted Regression (GTWR) models to understand the consequences of DUI in crashes. Using Southeast Michigan crash data, this study finds that DUI is associated with 25% higher likelihood of injury in a crash. The association between injury severity and DUI varies significantly across space and time. From the spatial aspect, DUI crashes in rural or small town areas are more likely to cause injuries than urban crashes. From the temporal aspect, different times are associated with varying relationships between injury severity and DUI. If focusing on DUI crashes in late nights and early mornings, on Fridays, the entire northeast part from Clinton Charter Township to Port Huron is associated with severer injuries than other region including Detroit’s urban area and its south. On Mondays, the DUI crashes in northwest are also more likely to cause severe injuries. The methodology introduced in this study takes advantage of modern computational tools and localized crash/inventory data. This method offers researchers and practitioners an opportunity to understand highway safety outcomes in great spatial and temporal details, and customize safety countermeasures for specific locations and times such as saturation patrols.

Supplemental Notes:

This paper was sponsored by TRB committee ANB50 Standing Committee on Alcohol, Other Drugs, and Transportation.

Report/Paper Numbers:

19-00935

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Liu, Jun
Khattak, Asad J

Pagination:

7p

Publication Date:

2019

Conference:

Transportation Research Board 98th Annual Meeting

Location: Washington DC, United States
Date: 2019-1-13 to 2019-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References (25) ; Tables

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; Safety and Human Factors

Source Data:

Transportation Research Board Annual Meeting 2019 Paper #19-00935

Files:

TRIS, TRB, ATRI

Created Date:

Dec 7 2018 9:50AM