TY  - JOUR
PY  - 2021//
TI  - Temporal pattern of moose-vehicle collisions
JO  - Transportation research part D: transport and environment
A1  - Borowik, Tomasz
A1  - Ratkiewicz, Mirosław
A1  - Maślanko, Weronika
A1  - Kowalczyk, Rafał
A1  - Duda, Norbert
A1  - Żmihorski, Michał
SP  - e102715
EP  - e102715
VL  - 92
IS  - 
N2  - Wildlife-vehicle collisions have become an increasing problem in recent decades as they seriously affect both animals and road users, leading to fatalities, substantial economic losses, and high biodiversity costs. We used GPS tracking of 37 moose, traffic volume, weather conditions, and information on moose-vehicle collisions (MVCs) reported on the Internet to explain the temporal patterns of MVCs in Poland from 2003 to 2019. MVCs peaked in early autumn (September-October). In all seasons, the greatest MVC risk occurred during the few hours after dusk, while in early autumn, MVC risk was also elevated during the hours preceding dawn. Moose activity was the strongest positive predictor of MVCs, but moose presence near roads, traffic volume, fogginess, and lack of precipitation were also positively correlated with MVC risk. We conclude that introducing seasonally adjusted measures (e.g. speed limitations, temporary warning signs) could substantially reduce the number of MVCs.<p />  <p>Language: en</p>
LA  - en
SN  - 1361-9209
UR  - http://dx.doi.org/10.1016/j.trd.2021.102715
ID  - ref1
ER  -