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How green are the streets? An analysis for central areas of Chinese cities using Tencent Street View
Extensive evidence has revealed that street greenery, as a quality-of-life component, is important for oxygen production, pollutant absorption, and urban heat island effect mitigation. Determining how green our streets are has always been difficult given the time and money consumed using conventiona...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5308808/ https://www.ncbi.nlm.nih.gov/pubmed/28196071 http://dx.doi.org/10.1371/journal.pone.0171110 |
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author | Long, Ying Liu, Liu |
author_facet | Long, Ying Liu, Liu |
author_sort | Long, Ying |
collection | PubMed |
description | Extensive evidence has revealed that street greenery, as a quality-of-life component, is important for oxygen production, pollutant absorption, and urban heat island effect mitigation. Determining how green our streets are has always been difficult given the time and money consumed using conventional methods. This study proposes an automatic method using an emerging online street-view service to address this issue. This method was used to analyze street greenery in the central areas (28.3 km(2) each) of 245 major Chinese cities; this differs from previous studies, which have investigated small areas in a given city. Such a city-system-level study enabled us to detect potential universal laws governing street greenery as well as the impact factors. We collected over one million Tencent Street View pictures and calculated the green view index for each picture. We found the following rules: (1) longer streets in more economically developed and highly administrated cities tended to be greener; (2) cities in western China tend to have greener streets; and (3) the aggregated green view indices at the municipal level match with the approved National Garden Cities of China. These findings can prove useful for drafting more appropriate policies regarding planning and engineering practices for street greenery. |
format | Online Article Text |
id | pubmed-5308808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-53088082017-02-28 How green are the streets? An analysis for central areas of Chinese cities using Tencent Street View Long, Ying Liu, Liu PLoS One Research Article Extensive evidence has revealed that street greenery, as a quality-of-life component, is important for oxygen production, pollutant absorption, and urban heat island effect mitigation. Determining how green our streets are has always been difficult given the time and money consumed using conventional methods. This study proposes an automatic method using an emerging online street-view service to address this issue. This method was used to analyze street greenery in the central areas (28.3 km(2) each) of 245 major Chinese cities; this differs from previous studies, which have investigated small areas in a given city. Such a city-system-level study enabled us to detect potential universal laws governing street greenery as well as the impact factors. We collected over one million Tencent Street View pictures and calculated the green view index for each picture. We found the following rules: (1) longer streets in more economically developed and highly administrated cities tended to be greener; (2) cities in western China tend to have greener streets; and (3) the aggregated green view indices at the municipal level match with the approved National Garden Cities of China. These findings can prove useful for drafting more appropriate policies regarding planning and engineering practices for street greenery. Public Library of Science 2017-02-14 /pmc/articles/PMC5308808/ /pubmed/28196071 http://dx.doi.org/10.1371/journal.pone.0171110 Text en © 2017 Long, Liu http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Long, Ying Liu, Liu How green are the streets? An analysis for central areas of Chinese cities using Tencent Street View |
title | How green are the streets? An analysis for central areas of Chinese cities using Tencent Street View |
title_full | How green are the streets? An analysis for central areas of Chinese cities using Tencent Street View |
title_fullStr | How green are the streets? An analysis for central areas of Chinese cities using Tencent Street View |
title_full_unstemmed | How green are the streets? An analysis for central areas of Chinese cities using Tencent Street View |
title_short | How green are the streets? An analysis for central areas of Chinese cities using Tencent Street View |
title_sort | how green are the streets? an analysis for central areas of chinese cities using tencent street view |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5308808/ https://www.ncbi.nlm.nih.gov/pubmed/28196071 http://dx.doi.org/10.1371/journal.pone.0171110 |
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