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Table 9 Estimated results of logistic regression analysis to crash severity for ICEVs and EVs

From: Exploration of the characteristics and trends of electric vehicle crashes: a case study in Norway

Variable

ICEV

EV

Coefficient

95% CI

Coefficient

95% CI

(Intercept)

− 2.232

(− 2.346, − 2.119)a

− 1.427

(− 2.632, − 0.330)a

Weekend

0.168

(0.092, 0.244)a

0.340

(− 0.600, 1.215)

Time of day—AM peak

− 0.111

(− 0.236, 0.012)

− 1.040

(− 2.626, 0.248)

Time of day—PM peak

− 0.180

(− 0.271, − 0.091)a

− 0.431

(− 1.351, 0.468)

Time of day—nighttime

0.150

(0.068, 0.232)a

− 0.637

(− 1.729, 0.371)

Rural area

0.249

(0.153, 0.346)a

− 0.215

(− 1.390, 0.927)

Speed limit—low

− 0.249

(− 0.363, − 0.136)a

− 0.636

(− 1.715, 0.349)

Speed limit—high

0.456

(0.371, 0.542)a

0.264

(− 0.940, 1.467)

Junction

− 0.428

(− 0.507, − 0.349)a

− 0.589

(− 1.415, 0.226)

Presence of medians

− 0.608

(− 0.738, − 0.482)a

− 1.424

(− 3.304, − 0.108)a

Good visibility—rainfall/snowfall

− 0.148

(− 0.268, − 0.028)a

− 0.704

(− 2.400, 0.785)

Poor visibility

− 0.161

(− 0.317, − 0.008)a

0.722

(− 0.816, 2.164)

Road surface conditions—wet

0.005

(− 0.094, 0.102)

0.055

(− 1.098, 1.105)

Road surface conditions—snowy/icy

− 0.064

(− 0.174, 0.044)

0.190

(− 1.248, 1.424)

Accident category—motorcycle

0.860

(0.770, 0.950)a

1.345

(0.249, 2.409)a

Accident category—bike/pedestrian

1.152

(1.054, 1.251)a

0.848

(− 0.152, 1.910)

  1. CI confidence interval
  2. aIndicates significance at alpha = 0.05 level