Evaluating the community commercial vitality using multi-source data: a case study of Hangzhou, China
“Urban vitality” is a crucial component in evaluating urban quality. However, current research rarely establishes specific vitality evaluation frameworks using multi-source data. Commercial activities at the community scale play a pivotal role in urban development. Therefore, this paper selected Han...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | GIScience & Remote Sensing |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/15481603.2025.2451335 |
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| author | Yuanzheng Cui Guixiang Zha Qiuting Wang Yunxiao Dang Kaifang Shi Xuejun Duan Dong Xu Bo Huang |
| author_facet | Yuanzheng Cui Guixiang Zha Qiuting Wang Yunxiao Dang Kaifang Shi Xuejun Duan Dong Xu Bo Huang |
| author_sort | Yuanzheng Cui |
| collection | DOAJ |
| description | “Urban vitality” is a crucial component in evaluating urban quality. However, current research rarely establishes specific vitality evaluation frameworks using multi-source data. Commercial activities at the community scale play a pivotal role in urban development. Therefore, this paper selected Hangzhou City in China as an example, and employed the nighttime light remote sensing data as well as the social sensing data, including Street View Feature (SVF) data, mobile signaling data, and Points of Interest (POI) data to assess the commercial vitality of communities in urban areas. A comprehensive vitality index assessment method for evaluating the commercial vitality of communities was proposed by the entropy weight method. The spatial distribution characteristics of the commercial vitality values in urban area of Hangzhou are explored. Then, the validation was conducted to reveal the reliability of the results. Finally, the relevant policy recommendations were proposed. Findings revealed that SVF and POI demonstrated superiority over mobile signaling data and nighttime light data in assessing commercial vitality. Moreover, significant disparities existed in individual vitality indices in which further highlight the spatial inequality among these indices. The results can provide valuable scientific references for urban planning and governance as well as achieving sustainable development within urban communities. |
| format | Article |
| id | doaj-art-7b70b88ecdff4d76809580df3edf714c |
| institution | Kabale University |
| issn | 1548-1603 1943-7226 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | GIScience & Remote Sensing |
| spelling | doaj-art-7b70b88ecdff4d76809580df3edf714c2025-01-16T10:45:11ZengTaylor & Francis GroupGIScience & Remote Sensing1548-16031943-72262025-12-0162110.1080/15481603.2025.2451335Evaluating the community commercial vitality using multi-source data: a case study of Hangzhou, ChinaYuanzheng Cui0Guixiang Zha1Qiuting Wang2Yunxiao Dang3Kaifang Shi4Xuejun Duan5Dong Xu6Bo Huang7Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, ChinaCollege of Geography and Remote Sensing, Hohai University, Nanjing, ChinaSchool of Geography and Planning, Sun Yat-sen University, Guangzhou, ChinaSchool of Public Administration, Zhejiang University of Finance and Economics, Hangzhou, ChinaSchool of Geography and Tourism, Anhui Normal University, Wuhu, ChinaKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, ChinaDepartment of Geography, National University of Singapore, SingaporeDepartment of Geography, The University of Hong Kong, Hong Kong, China“Urban vitality” is a crucial component in evaluating urban quality. However, current research rarely establishes specific vitality evaluation frameworks using multi-source data. Commercial activities at the community scale play a pivotal role in urban development. Therefore, this paper selected Hangzhou City in China as an example, and employed the nighttime light remote sensing data as well as the social sensing data, including Street View Feature (SVF) data, mobile signaling data, and Points of Interest (POI) data to assess the commercial vitality of communities in urban areas. A comprehensive vitality index assessment method for evaluating the commercial vitality of communities was proposed by the entropy weight method. The spatial distribution characteristics of the commercial vitality values in urban area of Hangzhou are explored. Then, the validation was conducted to reveal the reliability of the results. Finally, the relevant policy recommendations were proposed. Findings revealed that SVF and POI demonstrated superiority over mobile signaling data and nighttime light data in assessing commercial vitality. Moreover, significant disparities existed in individual vitality indices in which further highlight the spatial inequality among these indices. The results can provide valuable scientific references for urban planning and governance as well as achieving sustainable development within urban communities.https://www.tandfonline.com/doi/10.1080/15481603.2025.2451335Community commercial vitalityremote sensing datasocial sensing dataChinese city |
| spellingShingle | Yuanzheng Cui Guixiang Zha Qiuting Wang Yunxiao Dang Kaifang Shi Xuejun Duan Dong Xu Bo Huang Evaluating the community commercial vitality using multi-source data: a case study of Hangzhou, China GIScience & Remote Sensing Community commercial vitality remote sensing data social sensing data Chinese city |
| title | Evaluating the community commercial vitality using multi-source data: a case study of Hangzhou, China |
| title_full | Evaluating the community commercial vitality using multi-source data: a case study of Hangzhou, China |
| title_fullStr | Evaluating the community commercial vitality using multi-source data: a case study of Hangzhou, China |
| title_full_unstemmed | Evaluating the community commercial vitality using multi-source data: a case study of Hangzhou, China |
| title_short | Evaluating the community commercial vitality using multi-source data: a case study of Hangzhou, China |
| title_sort | evaluating the community commercial vitality using multi source data a case study of hangzhou china |
| topic | Community commercial vitality remote sensing data social sensing data Chinese city |
| url | https://www.tandfonline.com/doi/10.1080/15481603.2025.2451335 |
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