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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