基于LMDI模型的深圳市铁路客运站运维阶段碳排放驱动因素研究
Study on the Driving Factors of Carbon Emission During the Operation and Maintenance Stage of Shenzhen Railway Passenger Stations by LMDI Model
王智1
作者信息
- 1. 中铁建设集团有限公司,北京 100131
- 折叠
摘要
自"双碳"政策提出以来,各地政府陆续出台了多项节能减排措施.铁路客运站发展至今已经由简单的候车站房发展成综合性交通枢纽,但其对应的碳排放驱动因素尚不明确.为了解决以上问题,以深圳市铁路客运站碳排放为研究背景,收集了深圳市铁路客运站碳排放数据,结合铁路客运站碳排放影响因素的数据特点构建了基于LMDI的铁路客运站碳排放驱动模型和计算方法,并对碳排放驱动因素进行逐年分解,结果表明碳排放系数效应、客运结构效应、经济效应和人口效应对铁路客运站碳排放具有促进作用,能耗强度效应和客运运输强度效应对铁路客运站碳排放具有抑制作用,研究结论可以为深圳地区碳排放政策和节能减排措施的制定提供理论支撑.
Abstract
Since the proposal of China's double-carbon policy,each local government has successively introduced multiple energy-saving and emission reduction measures.The railway passenger stations has evolved from simple waiting stations to comprehensive transportation hubs.But the corresponding carbon emission driving factors are not yet clear.In order to solve the above problems,the carbon emissions of railway passenger stations in Shenzhen is taken as an example to collects carbon emission data.Combined with the data characteristics of influencing factors,a carbon emission driving model and calculation method are constructed based on logarithmic mean divisia index(LMDI).The carbon emission driving factors are decomposed year by year.The results show that the carbon emis-sion coefficient effect,passenger transport structure effect,economic effect and population effect have a promoting effect on carbon emissions.While the energy consumption intensity effect and passenger transport intensity effect have a restraining effect.The research can provide theoretical support for the formulation of carbon emission policies and energy-saving and emission reduction measures in Shenzhen.
关键词
铁路客运站/碳排放/因素分解/LMDI/节能减排Key words
railway passenger station/carbon emission/factor decomposition/logarithmic mean divisia index(LMDI)/energy saving and emission reduction引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据