Measuring Community Greening Merging Multi-Source Geo-Data

Urban residential greening provides opportunities for social integration and physical exercise. These activities are beneficial to promoting citizens’ mental health, relieving stress, and reducing obesity and violent crimes. However, how to measure the distribution and spatial difference o...

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Main Authors: Weiying Gu, Yiyong Chen, Muye Dai
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/11/4/1104
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spelling doaj-54d4795e0cdb40a8b1b885fd0209f47d2020-11-25T02:00:08ZengMDPI AGSustainability2071-10502019-02-01114110410.3390/su11041104su11041104Measuring Community Greening Merging Multi-Source Geo-DataWeiying Gu0Yiyong Chen1Muye Dai2Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, P.R.C., Shenzhen 518060, ChinaKey Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, P.R.C., Shenzhen 518060, ChinaHigh School Department, Shenzhen Experimental School, Shenzhen 518055, ChinaUrban residential greening provides opportunities for social integration and physical exercise. These activities are beneficial to promoting citizens’ mental health, relieving stress, and reducing obesity and violent crimes. However, how to measure the distribution and spatial difference of green resources in urban residential areas have been controversial. This study takes the greening of urban residential units in Shenzhen City as its research object, measures the various greening index values of each residential unit, and analyses the spatial distribution characteristics of residential greening, regional differences, and influencing factors. A large sample of street view pictures, urban land use and high-resolution remote sensing image data are employed to establish an urban residential greening database containing 14,196 residential units. This study proposes three greening indicators, namely, green coverage index, green view index, and accessible public green land index, for measuring the green coverage of residential units, the visible greening of surrounding street space and the public green land around, respectively. Results show that (1) the greening level of residential units in Shenzhen City is generally high, with the three indicators averaging 32.7%, 30.5%, and 15.1%, respectively; (2) the types of residential greening differ per area; and (3) the level of residential greening is affected by development intensity, location, elevation and residential type. Such findings can serve as a reference for improving the greening level of residential units. This study argues that one indicator alone cannot measure the greenness of a residential community. It proposes an accessible public green land index as a measure for the spatial relationship between residential units and green lands. It suggests that future green space planning should pay more attention to the spatial distribution of green land, and introduce quantitative indicators to ensure sufficient green lands around the walking range of residential areas.https://www.mdpi.com/2071-1050/11/4/1104green coverage indexgreen view indexaccessible public green land indexgreening characteristicsresidential unitsresidential greening
collection DOAJ
language English
format Article
sources DOAJ
author Weiying Gu
Yiyong Chen
Muye Dai
spellingShingle Weiying Gu
Yiyong Chen
Muye Dai
Measuring Community Greening Merging Multi-Source Geo-Data
Sustainability
green coverage index
green view index
accessible public green land index
greening characteristics
residential units
residential greening
author_facet Weiying Gu
Yiyong Chen
Muye Dai
author_sort Weiying Gu
title Measuring Community Greening Merging Multi-Source Geo-Data
title_short Measuring Community Greening Merging Multi-Source Geo-Data
title_full Measuring Community Greening Merging Multi-Source Geo-Data
title_fullStr Measuring Community Greening Merging Multi-Source Geo-Data
title_full_unstemmed Measuring Community Greening Merging Multi-Source Geo-Data
title_sort measuring community greening merging multi-source geo-data
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2019-02-01
description Urban residential greening provides opportunities for social integration and physical exercise. These activities are beneficial to promoting citizens’ mental health, relieving stress, and reducing obesity and violent crimes. However, how to measure the distribution and spatial difference of green resources in urban residential areas have been controversial. This study takes the greening of urban residential units in Shenzhen City as its research object, measures the various greening index values of each residential unit, and analyses the spatial distribution characteristics of residential greening, regional differences, and influencing factors. A large sample of street view pictures, urban land use and high-resolution remote sensing image data are employed to establish an urban residential greening database containing 14,196 residential units. This study proposes three greening indicators, namely, green coverage index, green view index, and accessible public green land index, for measuring the green coverage of residential units, the visible greening of surrounding street space and the public green land around, respectively. Results show that (1) the greening level of residential units in Shenzhen City is generally high, with the three indicators averaging 32.7%, 30.5%, and 15.1%, respectively; (2) the types of residential greening differ per area; and (3) the level of residential greening is affected by development intensity, location, elevation and residential type. Such findings can serve as a reference for improving the greening level of residential units. This study argues that one indicator alone cannot measure the greenness of a residential community. It proposes an accessible public green land index as a measure for the spatial relationship between residential units and green lands. It suggests that future green space planning should pay more attention to the spatial distribution of green land, and introduce quantitative indicators to ensure sufficient green lands around the walking range of residential areas.
topic green coverage index
green view index
accessible public green land index
greening characteristics
residential units
residential greening
url https://www.mdpi.com/2071-1050/11/4/1104
work_keys_str_mv AT weiyinggu measuringcommunitygreeningmergingmultisourcegeodata
AT yiyongchen measuringcommunitygreeningmergingmultisourcegeodata
AT muyedai measuringcommunitygreeningmergingmultisourcegeodata
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