Carbon emission of urban vehicles based on carbon emission factor correlation analysis
Abstract The CO2 emission factor is the basis for analyzing vehicle CO2 emissions. This study establishes a correlation model between the fuel CO2 emission factor and the mileage-based CO2 emission factor using fuel consumption data, then analyzes the fuel consumption and CO2 emission situation of v...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-86119-3 |
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| _version_ | 1832594835769393152 |
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| author | Jingwen Wang Hongna Dai Haixia Feng Meng Guo Vladimir Zylianov Zhongke Feng Jipeng Cui |
| author_facet | Jingwen Wang Hongna Dai Haixia Feng Meng Guo Vladimir Zylianov Zhongke Feng Jipeng Cui |
| author_sort | Jingwen Wang |
| collection | DOAJ |
| description | Abstract The CO2 emission factor is the basis for analyzing vehicle CO2 emissions. This study establishes a correlation model between the fuel CO2 emission factor and the mileage-based CO2 emission factor using fuel consumption data, then analyzes the fuel consumption and CO2 emission situation of vehicles in Beijing with the established models. The main research conclusions are as follows: The proposed correlation models are effective for analyzing urban vehicle CO2 emissions. Cars can only meet the national standard limit when traveling at an average speed of 42.17 km/h. During rush hours, fuel consumption in most cities in China exceeds national standards, making it urgent to improve urban traffic efficiency. Due to the decline in urban traffic conditions in Beijing in 2023 (average speed decreased from 29.14 km/h to 24.26 km/h), each passenger car consumes an average of 0.282 L more gasoline per day, emitting an additional 619.87 g of CO2. This study is of great significance for energy conservation and emission reduction in road transportation. |
| format | Article |
| id | doaj-art-701b08518fae4853b7b35ed73211a6ec |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-701b08518fae4853b7b35ed73211a6ec2025-01-19T12:17:10ZengNature PortfolioScientific Reports2045-23222025-01-0115111010.1038/s41598-025-86119-3Carbon emission of urban vehicles based on carbon emission factor correlation analysisJingwen Wang0Hongna Dai1Haixia Feng2Meng Guo3Vladimir Zylianov4Zhongke Feng5Jipeng Cui6Don College of Shandong Jiaotong UniversityDon College of Shandong Jiaotong UniversitySchool of Transportation and Logistics Engineering, Shandong Jiaotong UniversitySchool of Transportation and Logistics Engineering, Shandong Jiaotong UniversityDon State Technical UniversityBeijing Key Laboratory of Precision Forestry, Beijing Forestry UniversityShandong Provincial Communications Planning and Design Institute Group Co., Ltd.Abstract The CO2 emission factor is the basis for analyzing vehicle CO2 emissions. This study establishes a correlation model between the fuel CO2 emission factor and the mileage-based CO2 emission factor using fuel consumption data, then analyzes the fuel consumption and CO2 emission situation of vehicles in Beijing with the established models. The main research conclusions are as follows: The proposed correlation models are effective for analyzing urban vehicle CO2 emissions. Cars can only meet the national standard limit when traveling at an average speed of 42.17 km/h. During rush hours, fuel consumption in most cities in China exceeds national standards, making it urgent to improve urban traffic efficiency. Due to the decline in urban traffic conditions in Beijing in 2023 (average speed decreased from 29.14 km/h to 24.26 km/h), each passenger car consumes an average of 0.282 L more gasoline per day, emitting an additional 619.87 g of CO2. This study is of great significance for energy conservation and emission reduction in road transportation.https://doi.org/10.1038/s41598-025-86119-3CO2 emission factorAverage vehicle speedMOVES modelFuel consumptionCO2 emission |
| spellingShingle | Jingwen Wang Hongna Dai Haixia Feng Meng Guo Vladimir Zylianov Zhongke Feng Jipeng Cui Carbon emission of urban vehicles based on carbon emission factor correlation analysis Scientific Reports CO2 emission factor Average vehicle speed MOVES model Fuel consumption CO2 emission |
| title | Carbon emission of urban vehicles based on carbon emission factor correlation analysis |
| title_full | Carbon emission of urban vehicles based on carbon emission factor correlation analysis |
| title_fullStr | Carbon emission of urban vehicles based on carbon emission factor correlation analysis |
| title_full_unstemmed | Carbon emission of urban vehicles based on carbon emission factor correlation analysis |
| title_short | Carbon emission of urban vehicles based on carbon emission factor correlation analysis |
| title_sort | carbon emission of urban vehicles based on carbon emission factor correlation analysis |
| topic | CO2 emission factor Average vehicle speed MOVES model Fuel consumption CO2 emission |
| url | https://doi.org/10.1038/s41598-025-86119-3 |
| work_keys_str_mv | AT jingwenwang carbonemissionofurbanvehiclesbasedoncarbonemissionfactorcorrelationanalysis AT hongnadai carbonemissionofurbanvehiclesbasedoncarbonemissionfactorcorrelationanalysis AT haixiafeng carbonemissionofurbanvehiclesbasedoncarbonemissionfactorcorrelationanalysis AT mengguo carbonemissionofurbanvehiclesbasedoncarbonemissionfactorcorrelationanalysis AT vladimirzylianov carbonemissionofurbanvehiclesbasedoncarbonemissionfactorcorrelationanalysis AT zhongkefeng carbonemissionofurbanvehiclesbasedoncarbonemissionfactorcorrelationanalysis AT jipengcui carbonemissionofurbanvehiclesbasedoncarbonemissionfactorcorrelationanalysis |