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多标准评估模型中低碳城市的数据集归一化

Dataset normalization for low carbon cities in a multi-criteria evaluation model.

作者信息

Azizalrahman Hossny, Hasyimi Valid

机构信息

Department of Urban and Regional Planning, King Abdulaziz University, Jeddah, Saudi Arabia.

出版信息

Data Brief. 2018 Mar 31;18:1111-1116. doi: 10.1016/j.dib.2018.03.130. eCollection 2018 Jun.

DOI:10.1016/j.dib.2018.03.130
PMID:29900282
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5996616/
Abstract

Data in this article are related to a paper entitled "Towards a Generic Multi-criteria Evaluation Model for Low Carbon Cities". This paper sets out a framework for data normalization in a multi-criteria evaluation model that was tested and validated in 15 cities. Data deals with measurable indicators such as GDP per capita, CO emissions per capita and public buses per capita. In addition to published papers, selected World Bank and Siemens reports were useful to operationalize and identify low carbon cities.

摘要

本文中的数据与一篇题为《迈向低碳城市通用多标准评估模型》的论文相关。本文提出了一个多标准评估模型中的数据归一化框架,该框架在15个城市进行了测试和验证。数据涉及人均国内生产总值、人均一氧化碳排放量和人均公共汽车数量等可衡量指标。除了已发表的论文外,选定的世界银行和西门子报告对低碳城市的实施和识别也很有帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d91/5996616/754a6c4ac43d/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d91/5996616/754a6c4ac43d/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d91/5996616/754a6c4ac43d/gr2.jpg

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