Temporal Variation of Moose–Vehicle Collisions in Alaska
Collisions between vehicles and wildlife have long been recognized to pose threats to motorists and wildlife populations. In addition to the risk of injury or mortality faced by the motorists involved in wildlife-vehicle collisions (WVCs), other drivers are also put at risk due to road obstructions...
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Utah State University
2020
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ftdoajarticles:oai:doaj.org/article:1cc1db00d7f54be7baa08f020c70dce0 2023-05-15T13:12:56+02:00 Temporal Variation of Moose–Vehicle Collisions in Alaska Lucian R. McDonald Terry A. Messmer Michael R. Guttery 2020-01-01T00:00:00Z https://doi.org/10.26077/4j2e-3j12 https://doaj.org/article/1cc1db00d7f54be7baa08f020c70dce0 EN eng Utah State University https://digitalcommons.usu.edu/hwi/vol13/iss3/8 https://doaj.org/toc/2155-3874 doi:10.26077/4j2e-3j12 2155-3874 https://doaj.org/article/1cc1db00d7f54be7baa08f020c70dce0 Human-Wildlife Interactions, Vol 13, Iss 3 (2020) alaska alces alces deer–vehicle collision human–wildlife conflict mitigation moose moose–vehicle collision ungulate urbanization wildlife–vehicle collision Environmental sciences GE1-350 General. Including nature conservation geographical distribution QH1-199.5 article 2020 ftdoajarticles https://doi.org/10.26077/4j2e-3j12 2022-12-31T11:43:38Z Collisions between vehicles and wildlife have long been recognized to pose threats to motorists and wildlife populations. In addition to the risk of injury or mortality faced by the motorists involved in wildlife-vehicle collisions (WVCs), other drivers are also put at risk due to road obstructions and traffic congestions associated with WVCs. Most WVCs in Alaska involve moose (Alces alces), an animal that is sufficiently large to pose a threat to property and human life when involved in collisions. We analyzed the temporal variation in the number of moose–vehicle collisions (MVCs) reported in the 4 most populous boroughs of Alaska, USA from 2000–2012. We examined daily and annual trends in MVC rates and compared them to moose and human behavioral patterns to better understand possible mitigation strategies. The distribution of MVCs was skewed toward winter and hours of the day with less visibility. Fifty percent of the MVCs reported from 2000–2012 occurred where the commuter rush hours overlapped with dusk and dawn in winter. Knowledge of these temporal patterns can provide managers with practical mitigation options, such as the use of seasonal speed reduction, improved lighting strategies, dynamic signage, or partnerships with mobile mapping services. Article in Journal/Newspaper Alces alces Alaska Directory of Open Access Journals: DOAJ Articles |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
alaska alces alces deer–vehicle collision human–wildlife conflict mitigation moose moose–vehicle collision ungulate urbanization wildlife–vehicle collision Environmental sciences GE1-350 General. Including nature conservation geographical distribution QH1-199.5 |
spellingShingle |
alaska alces alces deer–vehicle collision human–wildlife conflict mitigation moose moose–vehicle collision ungulate urbanization wildlife–vehicle collision Environmental sciences GE1-350 General. Including nature conservation geographical distribution QH1-199.5 Lucian R. McDonald Terry A. Messmer Michael R. Guttery Temporal Variation of Moose–Vehicle Collisions in Alaska |
topic_facet |
alaska alces alces deer–vehicle collision human–wildlife conflict mitigation moose moose–vehicle collision ungulate urbanization wildlife–vehicle collision Environmental sciences GE1-350 General. Including nature conservation geographical distribution QH1-199.5 |
description |
Collisions between vehicles and wildlife have long been recognized to pose threats to motorists and wildlife populations. In addition to the risk of injury or mortality faced by the motorists involved in wildlife-vehicle collisions (WVCs), other drivers are also put at risk due to road obstructions and traffic congestions associated with WVCs. Most WVCs in Alaska involve moose (Alces alces), an animal that is sufficiently large to pose a threat to property and human life when involved in collisions. We analyzed the temporal variation in the number of moose–vehicle collisions (MVCs) reported in the 4 most populous boroughs of Alaska, USA from 2000–2012. We examined daily and annual trends in MVC rates and compared them to moose and human behavioral patterns to better understand possible mitigation strategies. The distribution of MVCs was skewed toward winter and hours of the day with less visibility. Fifty percent of the MVCs reported from 2000–2012 occurred where the commuter rush hours overlapped with dusk and dawn in winter. Knowledge of these temporal patterns can provide managers with practical mitigation options, such as the use of seasonal speed reduction, improved lighting strategies, dynamic signage, or partnerships with mobile mapping services. |
format |
Article in Journal/Newspaper |
author |
Lucian R. McDonald Terry A. Messmer Michael R. Guttery |
author_facet |
Lucian R. McDonald Terry A. Messmer Michael R. Guttery |
author_sort |
Lucian R. McDonald |
title |
Temporal Variation of Moose–Vehicle Collisions in Alaska |
title_short |
Temporal Variation of Moose–Vehicle Collisions in Alaska |
title_full |
Temporal Variation of Moose–Vehicle Collisions in Alaska |
title_fullStr |
Temporal Variation of Moose–Vehicle Collisions in Alaska |
title_full_unstemmed |
Temporal Variation of Moose–Vehicle Collisions in Alaska |
title_sort |
temporal variation of moose–vehicle collisions in alaska |
publisher |
Utah State University |
publishDate |
2020 |
url |
https://doi.org/10.26077/4j2e-3j12 https://doaj.org/article/1cc1db00d7f54be7baa08f020c70dce0 |
genre |
Alces alces Alaska |
genre_facet |
Alces alces Alaska |
op_source |
Human-Wildlife Interactions, Vol 13, Iss 3 (2020) |
op_relation |
https://digitalcommons.usu.edu/hwi/vol13/iss3/8 https://doaj.org/toc/2155-3874 doi:10.26077/4j2e-3j12 2155-3874 https://doaj.org/article/1cc1db00d7f54be7baa08f020c70dce0 |
op_doi |
https://doi.org/10.26077/4j2e-3j12 |
_version_ |
1766254921610428416 |