Kimberly Vachal

Kimberly Vachal


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 January 2020 in Traffic Injury Prevention
Verified
Journal Article
Closed access
IKIhsan Khan
Ihsan Khan
KVKimberly Vachal
Kimberly Vachal
Objective: This study investigated the confounding effects of factors on injury outcomes for all occupants in fatal single-vehicle crashes that involved a rollover event. Method: A generalized ordered logit model was used to investigate the role of roadway attributes, environmental factors, driver characteristics, and vehicle features in injury severity outcomes for occupants. Five years of single-vehicle rollover crash data for the United States were studied. Results: Results showed that the likelihood of serious and fatal injuries increases in rollover crashes with partial or complete ejection of the occupant, no seat belt use, speeding, higher posted speed limits, roadside and median rollovers, undulating terrain, blacktop road surface, and rural roads. We also found that evening, weekdays, previous driver crash, careless or inattentive driving, driver–passenger engagement, aggressive driving, and vehicle type affect injury severity. The deployment of airbags was associated with fewer serious and fatal injuries. Regional differences were found for injury severity outcomes in rollover crashes. Conclusions: The study provides valuable insight for reducing injury severity in single-vehicle crashes where a rollover occurs. Several proven countermeasures may prevent rollovers or reduce injury severity. These strategies include increasing seatbelt use, posting lower speed limits and installing speed enforcement cameras in high-risk areas, flattening roadside embankments, and promoting in-vehicle stability enhancement systems such as electronic stability control and rollover-activated side curtain airbags.

1 May 2009 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
KVKimberly Vachal
Kimberly Vachal
RFResearch Faculty
Research Faculty
DMDonald Malchose
Donald Malchose

17 September 2024 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
IKIhsan Khan
Ihsan Khan
Diomo MotubaDiomo Motuba
Diomo Motuba
KVKimberly Vachal
Kimberly Vachal

31 March 2009 in Traffic Injury Prevention
Verified
Journal Article
Closed access
KVKimberly Vachal
Kimberly Vachal
ETEsther K. Tumuhairwe
Esther K. Tumuhairwe
MBMark Berwick
Mark Berwick
Objective: The North Dakota Legislature recently passed a law exempting the state's agricultural truck fleet from a federal safety program requirement for rear-guard equipment on large trucks. This equipment has been shown to reduce crash severity when a passenger vehicle collides with the rear of the truck. This study uses truck fleet, truck crash, and injury severity data to estimate the public safety benefit derived from passenger-vehicle underride protection during rear-end crashes involving large agricultural trucks in North Dakota. Methods: A benefit-cost analysis of crash injury avoidance is developed based on the frequency and severity of rear-end truck collisions in North Dakota between 2001 and 2007. Results: The injury avoidance benefits and commercial vehicle safety grant benefits are estimated to be $11.4 to $20.2 million during the seven-year depreciable truck life. Conclusion: The public safety benefits for rear-impact guards are higher than the estimated lifetime cost for the equipment and maintenance of $8.1 million.

18 July 2023 in Transportation Research Record: Journal of the Transportation Research Board
Verified
Journal Article
Closed access
ENElvis Ndembe
Elvis Ndembe
KVKimberly Vachal
Kimberly Vachal

1 September 2021 in Journal of Safety Research
Verified
Journal Article
Closed access
KVKimberly Vachal
Kimberly Vachal
SAShantanu Awasthi
Shantanu Awasthi
IKIhsan Khan
Ihsan Khan
YZYun Zhou
Yun Zhou
BCBong-Jin Choi
Bong-Jin Choi
STSeguy Tchakounte-Wakem
Seguy Tchakounte-Wakem