Scenario Analysis of Carbon Emissions in Jiangxi Transportation Industry Based on LEAP Model

被引:4
|
作者
Liu, Yan-yan [1 ]
Wang, Yan-feng [2 ]
Yang, Jun-qing [1 ]
Zhou, Ye [3 ]
机构
[1] Nanchang Univ, Sch Environm & Chem Engn, Nanchang 330029, Peoples R China
[2] Ocean Univ China, Sch Econ, Qingdao 266071, Peoples R China
[3] Nanchang Hangkong Univ, Sch Econ & Management, Nanchang 330063, Jiangxi, Peoples R China
关键词
Carbon emissions; LEAP model; Transportation industry; Scenario analysis;
D O I
10.4028/www.scientific.net/AMM.66-68.637
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Transportation industry is an important field to reduce greenhouse gas emissions and climate change. Scenario analysis of transportation industry can provide theoretical support to the formulation and implementation of carbon emissions reduction policy. In view of this, The transportation industry of Jiangxi province will be given into four departments including civil aviation, railways, highways and waterways, and it was used the LEAP model to set three scenarios in the different application of economic development mode and different traffic development mode, then forecasted the main carbon emissions of Jiangxi transportation industry in 2010-2030, and analyzed the result of forecasting. It shown that the way to ease the nervous energy supply and the pressure of carbon emissions, and achieve the sustainable development of energy and the environment, must be set the four departments of reasonable transportation distribution under the condition of different energy sources, and increase the scope of using the new energy and renewable energy.
引用
收藏
页码:637 / +
页数:2
相关论文
共 50 条
  • [21] Scenario Analysis of Carbon Emissions of China's Power Industry Based on the Improved Particle Swarm Optimization-Support Vector Machine Model
    Zhou, Jianguo
    Guang, Fengtao
    Tang, Ruiping
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2018, 27 (01): : 439 - 449
  • [22] Research on carbon emission peak prediction and path of China?s public buildings: Scenario analysis based on LEAP model
    Zhang, Caiqing
    Luo, Hongxia
    ENERGY AND BUILDINGS, 2023, 289
  • [23] Carbon Emission Prediction and the Reduction Pathway in Industrial Parks: A Scenario Analysis Based on the Integration of the LEAP Model with LMDI Decomposition
    Feng, Dawei
    Xu, Wenchao
    Gao, Xinyu
    Yang, Yun
    Feng, Shirui
    Yang, Xiaohu
    Li, Hailong
    ENERGIES, 2023, 16 (21)
  • [24] Carbon emissions path of public buildings based on LEAP model in Changsha city (China)
    Zou, Qiong
    Zeng, Guang Ping
    Zou, Feng
    Zhou, Shifang
    SUSTAINABLE FUTURES, 2024, 8
  • [25] Decoupling analysis of carbon emissions in China’s power industry—based on ARDL model
    Yanmei Li
    Dandan Niu
    Jiawei Song
    Environmental Science and Pollution Research, 2022, 29 : 56535 - 56554
  • [26] Decomposition and scenario analysis on carbon emissions of road transportation: case study of the rural areas of Tianjin, China
    Zhu, Minqing
    Guo, Yaxin
    Li, Wei
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024,
  • [27] Trends in road transportation fuel consumption and carbon emissions: a scenario analysis using system dynamic modelling
    Al-Osaimi, Sara
    Sreekanth, K. J.
    Al-Foraih, Ruba
    Al-Kandari, Sara
    INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY, 2020, 39 (04) : 349 - 361
  • [28] Carbon Dioxide Emissions Research and Sustainable Transportation in the Sports Industry
    Triantafyllidis, Stavros
    C-JOURNAL OF CARBON RESEARCH, 2018, 4 (04):
  • [29] Study on the Passenger Transportation Energy Demand and Carbon Emission of Jilin Province Based on LEAP Model
    Ma, Zhuo
    Wang, Yongxuan
    Duan, Haiyan
    Wang, Xianen
    Dong, Deming
    ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6, 2012, 518-523 : 2243 - 2246
  • [30] Impact Factors Research for Carbon Emissions of Transportation Industry Based on Shapley Decomposition Method-an Analysis of Liaoning Province
    Lu, Xiaoli
    Lv, Xiaofei
    PROCEEDINGS OF THE AASRI INTERNATIONAL CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (IEA 2015), 2015, 2 : 495 - 499