Study on the evaluation system of urban low carbon communities in Guangdong province

被引:15
|
作者
Xie, Zeqiong [1 ,2 ]
Gao, Xuenong [1 ]
Feng, Chao [2 ]
He, Junfei [2 ]
机构
[1] South China Univ Technol, Sch Chem & Chem Engn, Minist Educ, Key Lab Enhanced Heat Transfer & Energy Conservat, Guangzhou 510640, Guangdong, Peoples R China
[2] Guangzhou Inst Energy Testing, Guangzhou 510170, Guangdong, Peoples R China
关键词
Urban low carbon communities; Evaluation system; Monte Carlo AHP; Sensitivity analysis; One-At-a-Time; INDICATOR SYSTEM; CLIMATE-CHANGE; ECO-COMMUNITY; NEIGHBORHOOD; EMISSIONS; ENERGY; TOOLS; CHINA; TECHNOLOGY;
D O I
10.1016/j.ecolind.2016.11.010
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
In recent years, China has been gradually consolidating the establishment of Low Carbon Communities (LCC) to minimize the emission of CO2 and other greenhouse gasses. Guangdong Province, as one of the low-carbon pilot provinces, has also paid great attention to the building of LCC. However, currently Guangdong province, or even China as a whole, has no official evaluation system in place which can be employed to evaluate the degree of low carbon of urban LCC. This paper aimed to establish a system for evaluating the urban LCC of Guangdong Province based on their actual situations. The system divided the evaluation into six categories, applied the SMART criteria to select suitable indices, and set the reference values for two zones, i.e., the Pearl River Delta zone (PRD) and the non-PRD zone. Monte Carlo and AHP were combined for the calculation of index weights, thus ensuring that the weight judgment matrixes could all pass the consistency check. In addition, this paper also laid down detailed evaluation regulations to improve the operability of this system and guarantee its wide application and better generalization. Finally, one typical urban community was selected to test the operability of this system, and the One At -a-Time (OAT) method was used to analyze the sensitivity of each index and explore the degree of influence of these indices on evaluation results. The results showed that three indicators corresponding to green building percentage, new energy vehicles percentage and low carbon public transportation had the highest sensitivity. After field test evaluation, the evaluation system was found to have strong operability, and a high accessibility to indicator data. This system cannot only be used as a tool by the Provincial People's Government of Guangdong to evaluate the construction progress and degree of low carbon in LCC, but can also provide a reference point and experience for the Chinese government to draw upon in establishing the evaluation system of LCC at a national level. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:500 / 515
页数:16
相关论文
共 50 条
  • [31] Vulnerability Evaluation of Lightning Disaster in Guangdong Province
    Shang, Zhihai
    Liu, Xilin
    INFORMATION TECHNOLOGY FOR RISK ANALYSIS AND CRISIS RESPONSE, 2014, 102 : 86 - 89
  • [32] The impact of rapid urban expansion on coastal mangroves: a case study in Guangdong Province, China
    Bin Ai
    Chunlei Ma
    Jun Zhao
    Rui Zhang
    Frontiers of Earth Science, 2020, 14 : 37 - 49
  • [33] The impact of rapid urban expansion on coastal mangroves: a case study in Guangdong Province, China
    Ai, Bin
    Ma, Chunlei
    Zhao, Jun
    Zhang, Rui
    FRONTIERS OF EARTH SCIENCE, 2020, 14 (01) : 37 - 49
  • [34] Community service contracting for older people in urban China: a case study in Guangdong Province
    Lin, Wenyi
    AUSTRALIAN JOURNAL OF PRIMARY HEALTH, 2016, 22 (01) : 55 - 62
  • [35] The Empirical Study of Low Carbon Development and Economic Evaluation System-Take a city in Hebei Province as an Example
    Zhang, Hong
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE AND SOCIAL RESEARCH (ICSSR 2013), 2013, 64 : 833 - 839
  • [36] The Impact of Zoning Designations on Bird Communities: A Case Study of National Nature Reserves in Guangdong Province
    Lee, Myung-Bok
    Zhao, Xuebing
    Che, Xianli
    Zhao, Yanyan
    Zhang, Qiang
    Liu, Zhifa
    Chen, Daojian
    Zhang, Min
    Zou, Fasheng
    DIVERSITY-BASEL, 2024, 16 (04):
  • [37] Spatial network analysis and driving forces of urban carbon emission performance: Insights from Guangdong Province
    Zhang, Xuewei
    Zhou, Jiabei
    Wu, Rong
    Wang, Shaojian
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 951
  • [38] Performance of lightning location system in Guangdong Province
    Chen, Shuiming
    Fan, Lingmeng
    He, Hongming
    Zhong, Dingzhu
    Zhongguo Dianli/Electric Power, 2001, 34 (12):
  • [39] The Construction and Analysis about the Evaluation System of Low-Carbon Economy in Jiangsu Province
    Li, Ting
    Li, Fei
    2015 4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2015), 2015, : 3817 - 3821