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Experiencing moose and landscape while driving: A simulator and questionnaire study

Antonson, Hans LU ; Annika, Jägerbrand and Christer, Ahlström (2015) In Journal of Environmental Psychology 41. p.91-100
Abstract
Animal vehicle collisions (AVC's) have large economic, medical and ecological consequences but have rarely been studied with respect to driver behaviour. The aim of this study was to investigate different AVC-relevant landscape settings (vegetation cover), with and without game fencing and in combination with encountering moose. Twenty-five participants took part in an advanced driving simulator experiment. The results show that neither the presence of a game fence nor vegetation was found to affect driving speed, speed variability, lateral position or visual scanning in general. When a moose appeared at the side of the road, the drivers reacted by slowing down earlier and reducing their speed more when no game fence was present.... (More)
Animal vehicle collisions (AVC's) have large economic, medical and ecological consequences but have rarely been studied with respect to driver behaviour. The aim of this study was to investigate different AVC-relevant landscape settings (vegetation cover), with and without game fencing and in combination with encountering moose. Twenty-five participants took part in an advanced driving simulator experiment. The results show that neither the presence of a game fence nor vegetation was found to affect driving speed, speed variability, lateral position or visual scanning in general. When a moose appeared at the side of the road, the drivers reacted by slowing down earlier and reducing their speed more when no game fence was present. Furthermore, the speed reduction when a moose was present was significantly larger when the vegetation was sparse. Game fencing made drivers feel at ease whereas dense vegetation was experienced as more stressful. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
AVC, Driving behaviour, Game fence, Vegetation, Stress
in
Journal of Environmental Psychology
volume
41
pages
91 - 100
publisher
Elsevier
external identifiers
  • wos:000350088100011
  • scopus:84917710674
ISSN
1522-9610
DOI
10.1016/j.jenvp.2014.11.010
language
English
LU publication?
yes
id
296d6ec3-3f30-4648-a1e1-d131860a31bb (old id 5147500)
alternative location
http://dx.doi.org/10.1016/j.jenvp.2014.11.010
date added to LUP
2015-03-04 13:29:46
date last changed
2017-01-01 03:51:11
@article{296d6ec3-3f30-4648-a1e1-d131860a31bb,
  abstract     = {Animal vehicle collisions (AVC's) have large economic, medical and ecological consequences but have rarely been studied with respect to driver behaviour. The aim of this study was to investigate different AVC-relevant landscape settings (vegetation cover), with and without game fencing and in combination with encountering moose. Twenty-five participants took part in an advanced driving simulator experiment. The results show that neither the presence of a game fence nor vegetation was found to affect driving speed, speed variability, lateral position or visual scanning in general. When a moose appeared at the side of the road, the drivers reacted by slowing down earlier and reducing their speed more when no game fence was present. Furthermore, the speed reduction when a moose was present was significantly larger when the vegetation was sparse. Game fencing made drivers feel at ease whereas dense vegetation was experienced as more stressful.},
  author       = {Antonson, Hans and Annika, Jägerbrand and Christer, Ahlström},
  issn         = {1522-9610},
  keyword      = {AVC,Driving behaviour,Game fence,Vegetation,Stress},
  language     = {eng},
  pages        = {91--100},
  publisher    = {Elsevier},
  series       = {Journal of Environmental Psychology},
  title        = {Experiencing moose and landscape while driving: A simulator and questionnaire study},
  url          = {http://dx.doi.org/10.1016/j.jenvp.2014.11.010},
  volume       = {41},
  year         = {2015},
}