TY  - JOUR
PY  - 2014//
TI  - Empirical Bayes approach for estimating urban deer-vehicle crashes using police and maintenance records
JO  - Journal of transportation engineering
A1  - Gkritza, Konstantina
A1  - Souleyrette, Reginald R.
A1  - Baird, Michael J.
A1  - Danielson, Brent J.
SP  - e04013002
EP  - e04013002
VL  - 140
IS  - 2
N2  - Deer-vehicle crashes are a growing problem in Iowa where deer-vehicle crashes represent 13% of all crashes reported. In 2009, these crashes resulted in nine fatalities and 451 injuries in the state. Deer-vehicle crashes are a problem even in urban areas of Iowa. It is known that deer-vehicle crashes are typically underreported. To address this underreporting, deer carcass salvage reports may be used to augment deer-vehicle crash reports. The objective of this paper is to exploit two sources of deer-vehicle crash data using a statistically reliable assessment methodology, empirical Bayes, to assess the potential for safety improvement of 150 urban highway sections in Iowa. Reconciliation of records to reduce double counting is discussed and a negative binomial regression model of deer-vehicle crash frequency as a function of roadway and environmental factors is estimated. The 25 most promising segments for deer-vehicle crash countermeasures are identified, mostly located on high-speed roadways, roadway segments with gravel right shoulders, and segments adjacent to grasslands. The methodology facilitates the identification of locations for countermeasure implementation as well as monitoring deer-vehicle crash trends.<p />  <p>Language: en</p>
LA  - en
SN  - 0733-947X
UR  - http://dx.doi.org/10.1061/(ASCE)TE.1943-5436.0000629
ID  - ref1
ER  -