Physical environment features that predict outdoor active play can be measured using Google Street View images Article Swipe
Randy Boyes
,
William Pickett
,
Ian Janssen
,
David Swanlund
,
Nadine Schuurman
,
Louise C. Mâsse
,
Christina Han
,
Mariana Brussoni
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-2833694/v1
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-2833694/v1
Childrens’ outdoor active play is an important part of their development. Play behaviour can be predicted by a variety of physical and social environmental features. Some of these features are difficult to measure with traditional data sources. This study investigated the viability of a machine learning method using Google Street View images for measurement of these environmental features. Models to measure natural features, pedestrian traffic, vehicle traffic, bicycle traffic, traffic signals, and sidewalks were developed in one city and tested in another. These models performed well for features that are time invariant, but poorly for features that change over time, especially when tested outside of the context where they were initially trained. This method provides a potential data source for the development of prediction models for a variety of physical and social environment features using publicly accessible street view images.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-2833694/v1
- https://www.researchsquare.com/article/rs-2833694/latest.pdf
- OA Status
- green
- References
- 17
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4366827482
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4366827482Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21203/rs.3.rs-2833694/v1Digital Object Identifier
- Title
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Physical environment features that predict outdoor active play can be measured using Google Street View imagesWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
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2023Year of publication
- Publication date
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2023-04-24Full publication date if available
- Authors
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Randy Boyes, William Pickett, Ian Janssen, David Swanlund, Nadine Schuurman, Louise C. Mâsse, Christina Han, Mariana BrussoniList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-2833694/v1Publisher landing page
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https://www.researchsquare.com/article/rs-2833694/latest.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://www.researchsquare.com/article/rs-2833694/latest.pdfDirect OA link when available
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Pedestrian, Variety (cybernetics), Measure (data warehouse), Computer science, Context (archaeology), Artificial intelligence, Machine learning, Transport engineering, Data mining, Geography, Engineering, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
- References (count)
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10Other works algorithmically related by OpenAlex
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| publication_date | 2023-04-24 |
| publication_year | 2023 |
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