City-level estimation of vehicle CO2 emission factors regarding driving behaviors: The case of Tianjin, China
The estimation of CO2 emission factors (EFs) is a key step in calculating automobile CO2 emissions. However, city-level research on the integrated estimation of vehicle CO2 EFs under real conditions is insufficient. To enrich the research methods of city-level vehicle CO2 EFs, this paper constructs...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024172842 |
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| Summary: | The estimation of CO2 emission factors (EFs) is a key step in calculating automobile CO2 emissions. However, city-level research on the integrated estimation of vehicle CO2 EFs under real conditions is insufficient. To enrich the research methods of city-level vehicle CO2 EFs, this paper constructs a vehicle–road–driver three-layer regression model and estimates vehicle CO2 EFs empirical parameters for Tianjin. The results show that the influences of vehicle CO2 EFs can be ranked as follows: engine displacement level (0.740) > total mileage (0.336) > driving habit after the start (−0.072) > vehicle size (0.064). The average empirical parameter of Tianjin's vehicle CO2 EFs is 195.38 g/km. This study can provide a method to estimate vehicle CO2 EFs at city level, enrich the Chinese EFs database in the transport sector, and provide scientific support to formulate integrated low-carbon transport policies. |
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| ISSN: | 2405-8440 |