Accessibility of green areas for local residents
Green spaces play an important role in urban areas. We study the accessibility of green urban areas by combining open data sets about green with population size data. We develop a mathematical model to define the population density of a green area and calculate the available green space depending on...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Elsevier
2021-06-01
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Series: | Environmental and Sustainability Indicators |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2665972721000155 |
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author | Corine M. Laan Nanda Piersma |
author_facet | Corine M. Laan Nanda Piersma |
author_sort | Corine M. Laan |
collection | DOAJ |
description | Green spaces play an important role in urban areas. We study the accessibility of green urban areas by combining open data sets about green with population size data. We develop a mathematical model to define the population density of a green area and calculate the available green space depending on the location. To this end, we do not only consider walking distance to and size of the green area, but also take into account the local population size. Our model quantifies how the available green space depends on the location in the city, such that heavily populated areas have a small amount of green available, even when closely located to a green area. |
first_indexed | 2024-12-21T17:27:21Z |
format | Article |
id | doaj.art-a50057a560e24487b127126a64067699 |
institution | Directory Open Access Journal |
issn | 2665-9727 |
language | English |
last_indexed | 2024-12-21T17:27:21Z |
publishDate | 2021-06-01 |
publisher | Elsevier |
record_format | Article |
series | Environmental and Sustainability Indicators |
spelling | doaj.art-a50057a560e24487b127126a640676992022-12-21T18:56:01ZengElsevierEnvironmental and Sustainability Indicators2665-97272021-06-0110100114Accessibility of green areas for local residentsCorine M. Laan0Nanda Piersma1Urban Analytics Group, Department of Technology, Amsterdam University of Applied Sciences, Weesperzijde 190, Amsterdam, the Netherlands; Corresponding author.Urban Analytics Group, Department of Technology, Amsterdam University of Applied Sciences, Weesperzijde 190, Amsterdam, the Netherlands; Department of Intelligent and Autonomous Systems, CWI, Science Park 123, Amsterdam, the NetherlandsGreen spaces play an important role in urban areas. We study the accessibility of green urban areas by combining open data sets about green with population size data. We develop a mathematical model to define the population density of a green area and calculate the available green space depending on the location. To this end, we do not only consider walking distance to and size of the green area, but also take into account the local population size. Our model quantifies how the available green space depends on the location in the city, such that heavily populated areas have a small amount of green available, even when closely located to a green area.http://www.sciencedirect.com/science/article/pii/S2665972721000155Green urban areasAccessibilityOpen data |
spellingShingle | Corine M. Laan Nanda Piersma Accessibility of green areas for local residents Environmental and Sustainability Indicators Green urban areas Accessibility Open data |
title | Accessibility of green areas for local residents |
title_full | Accessibility of green areas for local residents |
title_fullStr | Accessibility of green areas for local residents |
title_full_unstemmed | Accessibility of green areas for local residents |
title_short | Accessibility of green areas for local residents |
title_sort | accessibility of green areas for local residents |
topic | Green urban areas Accessibility Open data |
url | http://www.sciencedirect.com/science/article/pii/S2665972721000155 |
work_keys_str_mv | AT corinemlaan accessibilityofgreenareasforlocalresidents AT nandapiersma accessibilityofgreenareasforlocalresidents |