Skip to main content
. 2024 Jul 18;15:6041. doi: 10.1038/s41467-024-50447-1

Fig. 3. Heterogeneous impact by vehicle type, region, and GDP.

Fig. 3

This figure plots the coefficients of the power outage variables in the regression models specified in Supplementary Tables 3, 4, 5 and 6. The centers of the error bars are the values of the coefficients. The solid horizontal lines are the 95% confidence intervals for analyses using a 1-month lag in power outages and dashed horizontal lines correspond to analyses using a 2-month lag in power outages. a shows the coefficients for the number of power outages; b shows the coefficients for the hours with power outages. NCV is non-commercial private vehicle; FHV is for-hire vehicle. The northern versus southern provinces are divided by the Huai River. High GDP indicates provinces with a per capita annual GDP >60,000 RMB; low GDP indicates provinces with a per capita annual GDP <60,000 RMB. For the analysis of NCV and FHV, the data include battery electric vehicles (BEVs), plug-in hybrid electric vehicles (PHEVs), and non-plug-in hybrid electric vehicles due to data limitations. For the analyses by region and by GDP, the data only include BEV and PHEV. The detailed regression results can be found in Supplementary Tables 3,4,5&6. The relatively insignificant results of the coefficients when using the hours of power outages could be due to less variation in power outage hours compared to the number of power outages. Source data for this figure are available on GitHub.