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Hao et al. Carbon Footprints 2024;3:15 https://dx.doi.org/10.20517/cf.2024.24 Page 9 of 22
Table 5. Economic profit of light-duty logistics vehicle electrification in 2022
Cost type Cost element Cost (Yuan)
Tangible costs Purchase cost 79,100
Energy cost -250,700
Maintenance cost -8,100
intangible costs Search & energy inconvenience costs 105,400
alternative vehicle cost 2,400
Carbon emission costs Carbon emission cost -4,400
Economic cost for electrification Total -76,300
Table 6. Macroeconomic situation of Beijing from 2018 to 2022
Economic element 2018 2019 2020 2021 2022
Regional GDP (100 million yuan) 33,106 35,445 35,943 41,045 41,611
GDP growth rate (%) 6.70 6.10 1.10 8.80 0.70
New energy industry output value (100 million yuan) 276.80 341.50
Proportion of new energy industry output in GDP (%) 0.67 0.82
New energy automobile output value (100 million yuan) 77.90 184.40
Proportion of automobile output in industry output (%) 0.28 0.54
Permanent resident population (ten thousand people) 2,192 2,190 2,189 2,189 2,184
Natural population growth rate (%) -0.03 -0.07 -0.05 -0.02 -0.20
Fixed asset investment in transportation (100 million yuan) 1,283 1,085 983 949 877
Motor vehicle stock (ten thousand vehicles) 608 637 657 685 713
Highway operation freight volume (ten thousand tons) 20,278 22,325 21,789 23,075 18,549
Total retail sales of consumer goods (100 million yuan) 14,422 15,064 13,716 14,868 13,794
Note: In 2021, new energy and new energy automobiles were identified as strategic emerging industries.
Table 7. Supporting environment of electric logistics vehicles in Beijing in 2022
Social element Value
Road length (km) 8,681.35
Road network area (ten thousand square meters) 15,374.80
Total number of public charging and battery swap stations 3,990
Distance between gas stations (km) 1.60
Refueling time (h) 0.08
Average urban speed (km/h) 22.10
Distance between charging and battery swap stations (km) 2.18
Time value (yuan/h) 32.00
Number of charging stations 3,922
Number of battery swap stations 68.00
Average charging time (h) 1.50
This study organizes and statistically analyzes the average daily temperature of Beijing from 2019 to 2023 for
five years, using three indicators: the proportion of normal climate, the proportion of special climate, and
the proportion of abnormal climate, to form a climate factor that measures the level of natural conditions in
Beijing. The statistical results are shown in Table 8.

