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Dataset normalization for low carbon cities in a multi-criteria evaluation model
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 indicator...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996616/ https://www.ncbi.nlm.nih.gov/pubmed/29900282 http://dx.doi.org/10.1016/j.dib.2018.03.130 |
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author | Azizalrahman, Hossny Hasyimi, Valid |
author_facet | Azizalrahman, Hossny Hasyimi, Valid |
author_sort | Azizalrahman, Hossny |
collection | PubMed |
description | 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(2) 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. |
format | Online Article Text |
id | pubmed-5996616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-59966162018-06-13 Dataset normalization for low carbon cities in a multi-criteria evaluation model Azizalrahman, Hossny Hasyimi, Valid Data Brief Engineering 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(2) 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. Elsevier 2018-03-31 /pmc/articles/PMC5996616/ /pubmed/29900282 http://dx.doi.org/10.1016/j.dib.2018.03.130 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Engineering Azizalrahman, Hossny Hasyimi, Valid Dataset normalization for low carbon cities in a multi-criteria evaluation model |
title | Dataset normalization for low carbon cities in a multi-criteria evaluation model |
title_full | Dataset normalization for low carbon cities in a multi-criteria evaluation model |
title_fullStr | Dataset normalization for low carbon cities in a multi-criteria evaluation model |
title_full_unstemmed | Dataset normalization for low carbon cities in a multi-criteria evaluation model |
title_short | Dataset normalization for low carbon cities in a multi-criteria evaluation model |
title_sort | dataset normalization for low carbon cities in a multi-criteria evaluation model |
topic | Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996616/ https://www.ncbi.nlm.nih.gov/pubmed/29900282 http://dx.doi.org/10.1016/j.dib.2018.03.130 |
work_keys_str_mv | AT azizalrahmanhossny datasetnormalizationforlowcarboncitiesinamulticriteriaevaluationmodel AT hasyimivalid datasetnormalizationforlowcarboncitiesinamulticriteriaevaluationmodel |