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城市公共交通碳管理体系研究
Research on Carbon Management System of Urban Public Transportation

DOI: 10.12677/sd.2024.146163, PP. 1411-1417

Keywords: 城市公共交通,碳管理体系,可持续发展,碳排放,双碳
Urban Public Transportation
, Carbon Management System, Sustainable Development, Carbon Emissions, Dual Carbon

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Abstract:

随着城市化进程的不断加快,城市公共交通成为了减缓交通拥堵和解决环境污染的重要途径。本文以城市公共交通为例,通过分析其碳排放的现状及存在的问题,提出了构建碳管理体系的必要性,并给出了具体的措施和建议,以实现政府服务端、企业治理端、金融助力端的多场景应用,引导整个社会节能减排,助力全社会节能减排、提高能效、绿色出行。研究表明,通过建立完善的碳管理体系,可以有效减少城市公共交通的碳排放量,为城市的可持续发展做出贡献。
With the continuous acceleration of urbanization, urban public transportation has become an important way to alleviate traffic congestion and solve environmental pollution. Taking urban public transportation as an example, this paper analyzes the current situation and existing problems of carbon emissions, puts forward the necessity of building a carbon management system, and gives specific measures and suggestions to realize the multi-scenario application of government services, corporate governance, and financial assistance, guide the whole society to save energy and reduce emissions, and help the whole society to save energy and reduce emissions, improve energy efficiency, and go green. Studies have shown that by establishing a sound carbon management system, the carbon emissions of urban public transportation can be effectively reduced and contribute to the sustainable development of cities.

References

[1]  Sullivan, J.L. and Cobas-Flores, E. (2001) Full Vehicle LCAs: A Review. SAE Technical Paper.
https://doi.org/10.4271/2001-01-3725
[2]  Li, Y., He, Q., Luo, X., et al. (2018) Calculation of Life-Cycle Greenhouse Gas Emissions of Urban Rail Transit Systems: A Case Study of Shanghai Metro. Resources Conservation & Recycling, 128, 451-457.
https://doi.org/10.1016/j.resconrec.2016.03.007
[3]  Duan, H., Hu, M., Zhang, Y., et al. (2015) Quantification of Carbon Emissions of the Transport Service Sector in China by Using Streamlined Life Cycle Assessment. Journal of Cleaner Production, 95, 109-116.
https://doi.org/10.1016/j.jclepro.2015.02.029
[4]  Guo, B., Geng, Y., Franke, B., Hao, H., Liu, Y. and Chiu, A. (2014) Uncovering China’s Transport CO2 Emission Patterns at the Regional Level. Energy Policy, 74, 134-146.
https://doi.org/10.1016/j.enpol.2014.08.005
[5]  Xu, B. and Lin, B. (2016) Differences in Regional Emissions in China’s Transport Sector: Determinants and Reduction Strategies. Energy, 95, 459-470.
https://doi.org/10.1016/j.energy.2015.12.016
[6]  Chen, W. and Lei, Y. (2017) Analysis of the Impact Path on Factors of China’s Energy-Related CO2 Emissions: A Path Analysis with Latent Variables. Environmental Science & Pollution Research, 24, 5757-5772.
https://doi.org/10.1007/s11356-016-8300-y
[7]  Fan, F. and Lei, Y. (2016) Decomposition Analysis of Energy-Related Carbon Emissions from the Transportation Sector in Beijing. Transportation Research Part D: Transport & Environment, 42, 135-145.
https://doi.org/10.1016/j.trd.2015.11.001
[8]  Mishalani, R.G., Goel, P.K., Westra, A.M. and Landgraf, A.J. (2014) Modeling the Relationships among Urban Passenger Travel Carbon Dioxide Emissions, Transportation Demand and Supply, Population Density, and Proxy Policy Variables. Transportation Research Part D: Transport and Environment, 33, 146-154.
https://doi.org/10.1016/j.trd.2014.08.010
[9]  Lajunen, A. and Lipman, T. (2016) Lifecycle Cost Assessment and Carbon Dioxide Emissions of Diesel, Natural Gas, Hybrid Electric, Fuel Cell Hybrid and Electric Transit Buses. Energy, 106, 329-342.
https://doi.org/10.1016/j.energy.2016.03.075
[10]  Yang, L., Zhang, S., Wu, Y., et al. (2016) Evaluating Real-World CO2 and NOX Emissions for Public Transit Buses Using a Remote Wireless On-Board Diagnostic (OBD) Approach. Environmental Pollution, 218, 453-462.
https://doi.org/10.1016/j.envpol.2016.07.025
[11]  Onat, N.C., Kucukvar, M. and Tatari, O. (2015) Conventional, Hybrid, Plug-In Hybrid or Electric Vehicles? State-Based Comparative Cabon and Energy Footprint Analysis in the United States. Applied Energy, 150, 36-49.
https://doi.org/10.1016/j.apenergy.2015.04.001
[12]  Peng, B., Du, H., Ma, S., et al. (2015) Urban Passenger Transport Energy Saving and Emission Reduction Potential: A Case Study for Tianjin, China. Energy Conversion & Management, 102, 4-16.
https://doi.org/10.1016/j.enconman.2015.01.017
[13]  Cheng, Y., Chang, Y. and Lu, I.J. (2015) Urban Transportation Energy and Carbon Dioxide Emission Reduction Strategies. Applied Energy, 157, 953-973.
https://doi.org/10.1016/j.apenergy.2015.01.126
[14]  Lu, S. (2015) Energy-Saving Potential Analysis and Assessment on Land Transport of Taiwan. Case Studies on Transport Policy, 3, 468-476.
https://doi.org/10.1016/j.cstp.2015.11.003
[15]  Liu, X., Ma, S., Tian, J., Jia, N. and Li, G. (2015) A System Dynamics Approach to Scenario Analysis for Urban Passenger Transport Energy Consumption and CO2 Emissions: A Case Study of Beijing. Energy Policy, 85, 253-270.
https://doi.org/10.1016/j.enpol.2015.06.007
[16]  Wang, Z., Chen, F. and Fujiyama, T. (2015) Carbon Emission from Urban Passenger Transportation in Beijing. Transportation Research Part D: Transport and Environment, 41, 217-227.
https://doi.org/10.1016/j.trd.2015.10.001
[17]  Hao, H., Geng, Y., Wang, H. and Ouyang, M. (2014) Regional Disparity of Urban Passenger Transport Associated GHG (greenhouse Gas) Emissions in China: A Review. Energy, 68, 783-793.
https://doi.org/10.1016/j.energy.2014.01.008
[18]  张逸文, 李文翔, 刘向龙, 陈思薇, 杨子杰. 碳普惠机制下网约车用户拼车出行意愿研究[J]. 交通运输研究, 2023, 9(5): 83-96.
[19]  袁亚运. 心理驱动抑或结构束缚:城镇居民低碳出行的机制分析[J]. 干旱区资源与环境, 2020, 34(3): 20-26.
[20]  陈月霞, 陈龙, 查奇芬, 景鹏, 熊晓夏. 基于低碳心理潜变量Logit模型的出行方式预测模型[J]. 公路交通科技, 2017, 34(9): 100-108+137.
[21]  李军. 个人交通碳排放权交易机制对交通领域碳减排的影响研究[D]: [博士学位论文]. 合肥: 中国科学技术大学, 2017.

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