Mapping urban greenspace use from mobile phone GPS data.

Urban greenspace is a valuable component of the urban form that has the potential to improve the health and well-being of residents. Most quantitative studies of relationships between health and greenspace to date have investigated associations only with what greenspace exists in the local environme...

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Autores principales:	Meghann Mears, Paul Brindley, Paul Barrows, Miles Richardson, Ravi Maheswaran
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/dd7be93866014666af98a1f2fd75bb6d
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id	oai:doaj.org-article:dd7be93866014666af98a1f2fd75bb6d
record_format	dspace
spelling	oai:doaj.org-article:dd7be93866014666af98a1f2fd75bb6d2021-12-02T20:05:11ZMapping urban greenspace use from mobile phone GPS data.1932-620310.1371/journal.pone.0248622https://doaj.org/article/dd7be93866014666af98a1f2fd75bb6d2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0248622https://doaj.org/toc/1932-6203Urban greenspace is a valuable component of the urban form that has the potential to improve the health and well-being of residents. Most quantitative studies of relationships between health and greenspace to date have investigated associations only with what greenspace exists in the local environment (i.e. provision of greenspace), rather than to what extent it is used. This is due to the difficulty of obtaining usage data in large amounts. In recent years, GPS functionality integrated into mobile phones has provided a potential solution to this problem by making it possible to track which parts of the environment people experience in their day-to-day lives. In this paper, we demonstrate a method to derive cleaned, trip-level information from raw GPS data collected by a mobile phone app, then use this data to investigate the characteristics of trips to urban greenspace by residents of the city of Sheffield, UK. We find that local users of the app spend an average of an hour per week visiting greenspaces, including around seven trips per week and covering a total distance of just over 2.5 km. This may be enough to provide health benefits, but is insufficient to provide maximal benefits. Trip characteristics vary with user demographics: ethnic minority users and users from more socioeconomically deprived areas tend to make shorter trips than White users and those from less deprived areas, while users aged 34 years and over make longer trips than younger users. Women, on average, make more frequent trips than men, as do those who spent more time outside as a child. Our results suggest that most day-to-day greenspace visits are incidental, i.e. travelling through rather than to greenspace, and highlight the importance of including social and cultural factors when investigating who uses and who benefits from urban greenspace.Meghann MearsPaul BrindleyPaul BarrowsMiles RichardsonRavi MaheswaranPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0248622 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Meghann Mears Paul Brindley Paul Barrows Miles Richardson Ravi Maheswaran Mapping urban greenspace use from mobile phone GPS data.
description	Urban greenspace is a valuable component of the urban form that has the potential to improve the health and well-being of residents. Most quantitative studies of relationships between health and greenspace to date have investigated associations only with what greenspace exists in the local environment (i.e. provision of greenspace), rather than to what extent it is used. This is due to the difficulty of obtaining usage data in large amounts. In recent years, GPS functionality integrated into mobile phones has provided a potential solution to this problem by making it possible to track which parts of the environment people experience in their day-to-day lives. In this paper, we demonstrate a method to derive cleaned, trip-level information from raw GPS data collected by a mobile phone app, then use this data to investigate the characteristics of trips to urban greenspace by residents of the city of Sheffield, UK. We find that local users of the app spend an average of an hour per week visiting greenspaces, including around seven trips per week and covering a total distance of just over 2.5 km. This may be enough to provide health benefits, but is insufficient to provide maximal benefits. Trip characteristics vary with user demographics: ethnic minority users and users from more socioeconomically deprived areas tend to make shorter trips than White users and those from less deprived areas, while users aged 34 years and over make longer trips than younger users. Women, on average, make more frequent trips than men, as do those who spent more time outside as a child. Our results suggest that most day-to-day greenspace visits are incidental, i.e. travelling through rather than to greenspace, and highlight the importance of including social and cultural factors when investigating who uses and who benefits from urban greenspace.
format	article
author	Meghann Mears Paul Brindley Paul Barrows Miles Richardson Ravi Maheswaran
author_facet	Meghann Mears Paul Brindley Paul Barrows Miles Richardson Ravi Maheswaran
author_sort	Meghann Mears
title	Mapping urban greenspace use from mobile phone GPS data.
title_short	Mapping urban greenspace use from mobile phone GPS data.
title_full	Mapping urban greenspace use from mobile phone GPS data.
title_fullStr	Mapping urban greenspace use from mobile phone GPS data.
title_full_unstemmed	Mapping urban greenspace use from mobile phone GPS data.
title_sort	mapping urban greenspace use from mobile phone gps data.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/dd7be93866014666af98a1f2fd75bb6d
work_keys_str_mv	AT meghannmears mappingurbangreenspaceusefrommobilephonegpsdata AT paulbrindley mappingurbangreenspaceusefrommobilephonegpsdata AT paulbarrows mappingurbangreenspaceusefrommobilephonegpsdata AT milesrichardson mappingurbangreenspaceusefrommobilephonegpsdata AT ravimaheswaran mappingurbangreenspaceusefrommobilephonegpsdata
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Mapping urban greenspace use from mobile phone GPS data.

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