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Costs of traffic accidents with ungulates in Sweden
Swedish University of Agricultural Sciences.
Calluna AB.ORCID iD: 0000-0001-5322-9827
2017 (English)Report (Other academic)
Abstract [en]

Traffic accidents with ungulates pose a serious problem in many countries, and there is a need for predicting accidents and costs at a large scale for an efficient management of the accidents. Based on the assumption that traffic accidents are determined by traffic volume and ungulate population sizes, this study provides a relatively simple method for calculating and predicting costs of current and future traffic accidents with roe deer, wild boar, and moose in Sweden. A logistic population model is assumed for all ungulates, and econometric methods are used for predicting vehicle accidents with panel data on traffic accidents, traffic load, bags, hunting licenses, and landscape characteristics for each county and year during 2003-2015. The calculated total discounted cost of traffic accidents over a period of 15 years is relatively stable around 1300 million SEK per year in present value (which corresponds to 0.03% of gross domestic product in 2015), but the allocation of costs among ungulates differs. Costs of vehicle accidents with moose account for the largest share of the cost (44%), but accidents with wild boar show the most rapid increase over a 15 year period because of the estimated relatively high intrinsic growth rate and the recent establishment of this animal in several counties. The predicted costs are, however, sensitive to the assumption of future hunting pressure and traffic volume.

Place, publisher, year, edition, pages
Swedish University of Agricultural Sciences, Department Economics , 2017. , p. 35
Series
Working Paper Series, ISSN 1401-4068 ; 3
Keywords [en]
costs, traffic accidents, ungulates, econometrics, Sweden
National Category
Fish and Wildlife Management
Identifiers
URN: urn:nbn:se:hj:diva-41019ISRN: SLU-EKON-WPS-1305-SEDOI: 10.13140/RG.2.2.33873.22882OAI: oai:DiVA.org:hj-41019DiVA, id: diva2:1233880
Available from: 2018-07-20 Created: 2018-07-20 Last updated: 2018-11-28Bibliographically approved

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Jägerbrand, Annika K.
Fish and Wildlife Management

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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