Skip to main content

An Open Access Journal

Table 4 Results of linear mixed-effects (LME) model explaining response variables in the driving simulator experiment by testing the effects of different animal-vehicle collision countermeasures (radio warning, wildlife warning sign, automatic speed camera) and the presence and absence of wildlife fence and dense forest versus open landscape

From: Speed reduction effects over distance of animal-vehicle collision countermeasures – a driving simulator study

Variable

Coefficient

SE

DF

t value

P

Velocity 800–1000 m after measure

 Intercept

90.6241

1.638464

263

55.31041

< 0.0001

 Radio warning

−5.69822

2.251078

263

−2.53133

0.0119

 Fence

2.78884

1.059812

263

2.63144

0.009

 Forest

−2.22164

1.034645

263

−2.14725

0.0327

 Radio warning and fence

−7.57272

2.445421

263

−3.0967

0.0022

Velocity 1800–2000 m after measure

 (Intercept)

90.39819

1.588899

263

56.8936

< 0.0001

 Radio warning

−9.13026

2.296188

263

−3.97627

0.0001

 Forest

−3.52007

1.055447

263

−3.33515

0.001

 Wildlife warning sign and forest

5.57434

2.455735

263

2.26993

0.024

  1. Only significant variables are shown. The model was run separately for each distance (i.e. 800–1000 m and 1800–2000 m after the measure was implemented, respectively). Final LME models are shown in Table 3. Significant explanatory variables are shown in bold type (P < 0.05). Random effects at 800–1000 m: standard deviation intercept 7.2, residual 5.1, and at 1800–2000 m: standard deviation intercept 6.9, residual 5.2