Spatial distribution characteristics of leisure urban spaces and the correlation with population activity intensity: a case study of Nanjing, China
The spatial distribution of Leisure Urban Spaces (LUSs) is closely linked to urban sustainability and residents’ quality of life. This study uses the Central Urban Area of Nanjing as the study area. Using POI and AOI data, the locations of LUS were precisely identified and categorized, including par...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Multidisciplinary Digital Publishing Institute
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/114241/ http://psasir.upm.edu.my/id/eprint/114241/1/114241.pdf |
| _version_ | 1848866435842965504 |
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| author | Li, Xinyang Kozlowski, Marek Ismail, Sumarni Salih, Sarah Abdulkareem |
| author_facet | Li, Xinyang Kozlowski, Marek Ismail, Sumarni Salih, Sarah Abdulkareem |
| author_sort | Li, Xinyang |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The spatial distribution of Leisure Urban Spaces (LUSs) is closely linked to urban sustainability and residents’ quality of life. This study uses the Central Urban Area of Nanjing as the study area. Using POI and AOI data, the locations of LUS were precisely identified and categorized, including parks, squares, waterfront spaces, and leisure blocks. GIS spatial analysis methods, the nearest neighbor index, standard deviation ellipse, and kernel density estimation were used to analyze these spaces’ form, directivity, and density. Population activity intensity (PAI) data at various time points, collected by Baidu heat map, are correlated with LUS distribution through multiple linear regression analysis. (1) Parks and squares exhibit significant clustering tendencies, whereas waterfront spaces show weaker clustering, and leisure blocks are randomly distributed; (2) The central points of all types of LUS are located in the city center, extending from southeast to northwest, with parks and squares offering a broader range of services; (3) The overall LUS layout shows a ‘core and multiple points’ structure, with varying density patterns across different spaces, indicating concentrated and dispersed leisure areas; (4) The correlation between LUS distribution and PAI strengthens throughout the day and is greater on weekends than weekdays. Leisure blocks significantly enhance activity intensity, while parks have a limited effect, and waterfront spaces often show a negative correlation due to their remote locations. These results provide insights for future urban planning in Nanjing and underscore patterns in residents’ leisure activities. |
| first_indexed | 2025-11-15T14:20:34Z |
| format | Article |
| id | upm-114241 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:20:34Z |
| publishDate | 2024 |
| publisher | Multidisciplinary Digital Publishing Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1142412025-01-09T04:43:24Z http://psasir.upm.edu.my/id/eprint/114241/ Spatial distribution characteristics of leisure urban spaces and the correlation with population activity intensity: a case study of Nanjing, China Li, Xinyang Kozlowski, Marek Ismail, Sumarni Salih, Sarah Abdulkareem The spatial distribution of Leisure Urban Spaces (LUSs) is closely linked to urban sustainability and residents’ quality of life. This study uses the Central Urban Area of Nanjing as the study area. Using POI and AOI data, the locations of LUS were precisely identified and categorized, including parks, squares, waterfront spaces, and leisure blocks. GIS spatial analysis methods, the nearest neighbor index, standard deviation ellipse, and kernel density estimation were used to analyze these spaces’ form, directivity, and density. Population activity intensity (PAI) data at various time points, collected by Baidu heat map, are correlated with LUS distribution through multiple linear regression analysis. (1) Parks and squares exhibit significant clustering tendencies, whereas waterfront spaces show weaker clustering, and leisure blocks are randomly distributed; (2) The central points of all types of LUS are located in the city center, extending from southeast to northwest, with parks and squares offering a broader range of services; (3) The overall LUS layout shows a ‘core and multiple points’ structure, with varying density patterns across different spaces, indicating concentrated and dispersed leisure areas; (4) The correlation between LUS distribution and PAI strengthens throughout the day and is greater on weekends than weekdays. Leisure blocks significantly enhance activity intensity, while parks have a limited effect, and waterfront spaces often show a negative correlation due to their remote locations. These results provide insights for future urban planning in Nanjing and underscore patterns in residents’ leisure activities. Multidisciplinary Digital Publishing Institute 2024-08-21 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/114241/1/114241.pdf Li, Xinyang and Kozlowski, Marek and Ismail, Sumarni and Salih, Sarah Abdulkareem (2024) Spatial distribution characteristics of leisure urban spaces and the correlation with population activity intensity: a case study of Nanjing, China. Sustainability, 16 (16). art. no. 7160. pp. 1-21. ISSN eISSN: 2071-1050 https://www.mdpi.com/2071-1050/16/16/7160 10.3390/su16167160 |
| spellingShingle | Li, Xinyang Kozlowski, Marek Ismail, Sumarni Salih, Sarah Abdulkareem Spatial distribution characteristics of leisure urban spaces and the correlation with population activity intensity: a case study of Nanjing, China |
| title | Spatial distribution characteristics of leisure urban spaces and the correlation with population activity intensity: a case study of Nanjing, China |
| title_full | Spatial distribution characteristics of leisure urban spaces and the correlation with population activity intensity: a case study of Nanjing, China |
| title_fullStr | Spatial distribution characteristics of leisure urban spaces and the correlation with population activity intensity: a case study of Nanjing, China |
| title_full_unstemmed | Spatial distribution characteristics of leisure urban spaces and the correlation with population activity intensity: a case study of Nanjing, China |
| title_short | Spatial distribution characteristics of leisure urban spaces and the correlation with population activity intensity: a case study of Nanjing, China |
| title_sort | spatial distribution characteristics of leisure urban spaces and the correlation with population activity intensity: a case study of nanjing, china |
| url | http://psasir.upm.edu.my/id/eprint/114241/ http://psasir.upm.edu.my/id/eprint/114241/ http://psasir.upm.edu.my/id/eprint/114241/ http://psasir.upm.edu.my/id/eprint/114241/1/114241.pdf |