Utilizing Semantic Segmentation to Analyse Google Street View Imagery for Health-Oriented Urban Planning
After the onset of the Coronavirus Disease 2019 (COVID-19) pandemic, the public health benefits of urban green space (UGS) have attracted increased attention. In exposure science, visibility has been considered a fundamental category for assessing green space exposure, yet evaluations in Denmark ra...
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| Format: | Article |
| Language: | Danish |
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Aalborg University Open Publishing
2024-12-01
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| Series: | Geoforum Perspektiv |
| Online Access: | https://discurso.aau.dk/index.php/gfp/article/view/8437 |
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| _version_ | 1832577748109885440 |
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| author | Siyi Qi |
| author_facet | Siyi Qi |
| author_sort | Siyi Qi |
| collection | DOAJ |
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After the onset of the Coronavirus Disease 2019 (COVID-19) pandemic, the public health benefits of urban green space (UGS) have attracted increased attention. In exposure science, visibility has been considered a fundamental category for assessing green space exposure, yet evaluations in Denmark rarely address it. This study uses Copenhagen Municipality as a case study to explore the Green View Index (GVI) by analyzing Google Street View (GSV) images using semantic segmentation. The main findings include: (1) a GVI mean of 15.05% within Copenhagen Municipality, ranking below the average of six other European cities, and (2) a map showing the spatial distribution of GVI in the study area. Additionally, this paper considers the potential and possibilities of using street view imagery in future urban health studies.
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| format | Article |
| id | doaj-art-72d6ebbc9780463282fa4b837c096d23 |
| institution | Kabale University |
| issn | 1601-8796 2245-8433 |
| language | Danish |
| publishDate | 2024-12-01 |
| publisher | Aalborg University Open Publishing |
| record_format | Article |
| series | Geoforum Perspektiv |
| spelling | doaj-art-72d6ebbc9780463282fa4b837c096d232025-01-30T16:46:47ZdanAalborg University Open PublishingGeoforum Perspektiv1601-87962245-84332024-12-01234410.54337/ojs.perspektiv.v23i44.8437Utilizing Semantic Segmentation to Analyse Google Street View Imagery for Health-Oriented Urban PlanningSiyi Qi0https://orcid.org/0000-0002-3660-9649Department of Geosciences and Natural Resource Management, University of Copenhagen After the onset of the Coronavirus Disease 2019 (COVID-19) pandemic, the public health benefits of urban green space (UGS) have attracted increased attention. In exposure science, visibility has been considered a fundamental category for assessing green space exposure, yet evaluations in Denmark rarely address it. This study uses Copenhagen Municipality as a case study to explore the Green View Index (GVI) by analyzing Google Street View (GSV) images using semantic segmentation. The main findings include: (1) a GVI mean of 15.05% within Copenhagen Municipality, ranking below the average of six other European cities, and (2) a map showing the spatial distribution of GVI in the study area. Additionally, this paper considers the potential and possibilities of using street view imagery in future urban health studies. https://discurso.aau.dk/index.php/gfp/article/view/8437 |
| spellingShingle | Siyi Qi Utilizing Semantic Segmentation to Analyse Google Street View Imagery for Health-Oriented Urban Planning Geoforum Perspektiv |
| title | Utilizing Semantic Segmentation to Analyse Google Street View Imagery for Health-Oriented Urban Planning |
| title_full | Utilizing Semantic Segmentation to Analyse Google Street View Imagery for Health-Oriented Urban Planning |
| title_fullStr | Utilizing Semantic Segmentation to Analyse Google Street View Imagery for Health-Oriented Urban Planning |
| title_full_unstemmed | Utilizing Semantic Segmentation to Analyse Google Street View Imagery for Health-Oriented Urban Planning |
| title_short | Utilizing Semantic Segmentation to Analyse Google Street View Imagery for Health-Oriented Urban Planning |
| title_sort | utilizing semantic segmentation to analyse google street view imagery for health oriented urban planning |
| url | https://discurso.aau.dk/index.php/gfp/article/view/8437 |
| work_keys_str_mv | AT siyiqi utilizingsemanticsegmentationtoanalysegooglestreetviewimageryforhealthorientedurbanplanning |