Modeling vibrant areas at nighttime: A machine learning-based analytical framework for urban regeneration
文献类型：期刊论文
| 作者 | Shi, Man Jiang1,4; Cao, Qi1,2,3; van Rompaey, Anton2; Pu, Moqiao1; Ran, Baisong1 |
| 刊名 | SUSTAINABLE CITIES AND SOCIETY
 |
| 出版日期 | 2023-12-01 |
| 卷号 | 99页码:15 |
| ISSN号 | 2210-6707 |
| 关键词 | Vibrant areas at nighttime Urban land simulation Urban regeneration strategy Support vector machine Mianyang City |
| DOI | 10.1016/j.scs.2023.104920 |
| 通讯作者 | Cao, Qi(caoqi@swust.edu.cn) |
| 英文摘要 | Enhancing vibrant areas at nighttime (VAN) is important for promoting urban regeneration. However, the process simulation of the potential impact of urban renewal initiatives on VANs has yet to achieve complete coupling with population mobility, economy, and land utilization. In this study, we developed a simulation framework to simulate the changes in VANs and reveal their potential interconnection with urban regeneration strategies. The research methods involved the use of overlaying multiple data sources, including satellite imagery, thermal and land use maps, and point of interest data, to obtain a collection of nightlife activities in Mianyang City. We were able to identify and grade VANs based on multisource big data, providing support for urban renewal planning, as well as determine the key driving factors and configuration patterns of environmental elements that impact VAN. We also developed a machine learning-based predictive model for urban regeneration and VAN redevelopment. These results show that a vibrant nightlife can be used to regenerate dilapidated urban areas, thus reducing urbanization. Moreover, the simulation method developed in this study has wide applicability in other regions for identifying potential improvements and guiding investment and revitalization efforts in a targeted and effective manner. |
| WOS关键词 | LAND TRANSFORMATION MODEL ; CELLULAR-AUTOMATA ; RENEWAL ; SUSTAINABILITY ; ENVIRONMENT ; NIGHTLIFE ; DESIGN ; LONDON |
| WOS研究方向 | Construction & Building Technology ; Science & Technology - Other Topics ; Energy & Fuels |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:001080647000001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/198699]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cao, Qi |
| 作者单位 | 1.Southwest Univ Sci & Technol, Dept Civil Engn & Architecture, Mianyang 621000, Sichuan, Peoples R China 2.Katholieke Univ Leuven, Dept Earth & Environm Sci, Geog & Tourism Res Grp, Celestijnenlaan 200E, B-3001 Heverlee, Belgium 3.Nantes Univ, Ecole Cent Nantes, ENSA Nantes, CNRS,AAU CRENAU,UMR 1563, F-44000 Nantes, France 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, Man Jiang,Cao, Qi,van Rompaey, Anton,et al. Modeling vibrant areas at nighttime: A machine learning-based analytical framework for urban regeneration[J]. SUSTAINABLE CITIES AND SOCIETY,2023,99:15. |
| APA | Shi, Man Jiang,Cao, Qi,van Rompaey, Anton,Pu, Moqiao,&Ran, Baisong.(2023).Modeling vibrant areas at nighttime: A machine learning-based analytical framework for urban regeneration.SUSTAINABLE CITIES AND SOCIETY,99,15. |
| MLA | Shi, Man Jiang,et al."Modeling vibrant areas at nighttime: A machine learning-based analytical framework for urban regeneration".SUSTAINABLE CITIES AND SOCIETY 99(2023):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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