Measuring equality in access to urban parks: A big data analysis from Chengdu
Spatial equality of parks is a significant issue in environmental justice studies. In cities with high-density development and limited land resources, this study uses a supply-demand adjusted two-step floating catchment area model (2SFCA), paying attention to residents' subjective preferences a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1022666/full |
| _version_ | 1817984567422746624 |
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| author | Weiwei Dai Weiwei Dai Suyang Yuan Suyang Yuan Yangyang Liu Dan Peng Shaofei Niu |
| author_facet | Weiwei Dai Weiwei Dai Suyang Yuan Suyang Yuan Yangyang Liu Dan Peng Shaofei Niu |
| author_sort | Weiwei Dai |
| collection | DOAJ |
| description | Spatial equality of parks is a significant issue in environmental justice studies. In cities with high-density development and limited land resources, this study uses a supply-demand adjusted two-step floating catchment area model (2SFCA), paying attention to residents' subjective preferences and psychological accessibility. It assesses equality of access to urban parks from two dimensions: spatial equality and quantitative equality at a fine scale of 100 × 100 m grid resolution. The spatial equality of urban parks in Chengdu is measured under different transportation modes (walking, cycling, and driving) based on multi-source geospatial big data and machine learning approaches. The results show: (1) There were significant differences in the spatial distribution of park accessibility under different modes of transportation. The spatial distribution under walking was significantly influenced by the park itself, while the distribution of rivers significantly influenced the spatial distribution under cycling and driving; (2) Accessibility to urban parks was almost universally equal in terms of driving, relatively equal in terms of cycling, and seriously unequal in terms of walking; (3) Spatial local autocorrelation analysis shows that park accessibility tended to be significantly clustered, with little spatial variation; and (4) The supply and demand of urban parks were relatively equal. The results can help urban planners to formulate effective strategies to alleviate spatial inequality more reasonably and precisely. The applied research methods can further improve the system of scientific evaluation from a new perspective. |
| first_indexed | 2024-04-13T23:46:23Z |
| format | Article |
| id | doaj.art-9c97c6110fdf4b89be35abe6d6b95ae1 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-13T23:46:23Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-9c97c6110fdf4b89be35abe6d6b95ae12022-12-22T02:24:17ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-10-011010.3389/fpubh.2022.10226661022666Measuring equality in access to urban parks: A big data analysis from ChengduWeiwei Dai0Weiwei Dai1Suyang Yuan2Suyang Yuan3Yangyang Liu4Dan Peng5Shaofei Niu6College of Architecture and Environment, Sichuan University, Chengdu, ChinaPark City Center, China Southwest Geotechnical Investigation and Design Institute Co., Ltd., Chengdu, ChinaCollege of Architecture and Environment, Sichuan University, Chengdu, ChinaResearch Center of Urban Renewal, Sichuan Provincial Architectural Design and Research Institute Co., Ltd., Chengdu, ChinaCollege of Architecture and Environment, Sichuan University, Chengdu, ChinaResearch Center of Urban Renewal, Sichuan Provincial Architectural Design and Research Institute Co., Ltd., Chengdu, ChinaCollege of Architecture and Environment, Sichuan University, Chengdu, ChinaSpatial equality of parks is a significant issue in environmental justice studies. In cities with high-density development and limited land resources, this study uses a supply-demand adjusted two-step floating catchment area model (2SFCA), paying attention to residents' subjective preferences and psychological accessibility. It assesses equality of access to urban parks from two dimensions: spatial equality and quantitative equality at a fine scale of 100 × 100 m grid resolution. The spatial equality of urban parks in Chengdu is measured under different transportation modes (walking, cycling, and driving) based on multi-source geospatial big data and machine learning approaches. The results show: (1) There were significant differences in the spatial distribution of park accessibility under different modes of transportation. The spatial distribution under walking was significantly influenced by the park itself, while the distribution of rivers significantly influenced the spatial distribution under cycling and driving; (2) Accessibility to urban parks was almost universally equal in terms of driving, relatively equal in terms of cycling, and seriously unequal in terms of walking; (3) Spatial local autocorrelation analysis shows that park accessibility tended to be significantly clustered, with little spatial variation; and (4) The supply and demand of urban parks were relatively equal. The results can help urban planners to formulate effective strategies to alleviate spatial inequality more reasonably and precisely. The applied research methods can further improve the system of scientific evaluation from a new perspective.https://www.frontiersin.org/articles/10.3389/fpubh.2022.1022666/fullurban parksaccessibility2SFCAequality in accessbig datamachine learning |
| spellingShingle | Weiwei Dai Weiwei Dai Suyang Yuan Suyang Yuan Yangyang Liu Dan Peng Shaofei Niu Measuring equality in access to urban parks: A big data analysis from Chengdu Frontiers in Public Health urban parks accessibility 2SFCA equality in access big data machine learning |
| title | Measuring equality in access to urban parks: A big data analysis from Chengdu |
| title_full | Measuring equality in access to urban parks: A big data analysis from Chengdu |
| title_fullStr | Measuring equality in access to urban parks: A big data analysis from Chengdu |
| title_full_unstemmed | Measuring equality in access to urban parks: A big data analysis from Chengdu |
| title_short | Measuring equality in access to urban parks: A big data analysis from Chengdu |
| title_sort | measuring equality in access to urban parks a big data analysis from chengdu |
| topic | urban parks accessibility 2SFCA equality in access big data machine learning |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1022666/full |
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