Construction of a Scoring Evaluation Model for Identifying Urban Functional Areas Based on Multisource Data
文献类型：期刊论文
| 作者 | Jia, Feixue1; Yan, Jinfeng1; Su, Fenzhen2; Du, Jiaxue1; Zhao, Shiyi1; Bai, Jinbiao1 |
| 刊名 | JOURNAL OF URBAN PLANNING AND DEVELOPMENT
 |
| 出版日期 | 2022-12-01 |
| 卷号 | 148期号:4页码:12 |
| ISSN号 | 0733-9488 |
| DOI | 10.1061/(ASCE)UP.1943-5444.0000891 |
| 通讯作者 | Yan, Jinfeng(yanif2004@163.com) |
| 英文摘要 | In rapidly developing large cities, land functions change rapidly and are mixed. It is essential to obtain accurate functional area maps to evaluate the urbanization process and its impacts on rational urban planning. Many studies have verified the usability of point of interest (POI) data in identifying functional areas. However, few studies have considered the impact of the size differences of the entity objects represented by POIs on the functional categories. A new scoring evaluation model that combines the area score and the normalized kernel density value was constructed to identify urban functional areas. The area score was obtained based on the building vector data and the constructed ambiguity function. The kernel density value was obtained by kernel density analysis of various POIs. The two factors were combined to calculate the influencing scores. Functional areas were identified by the proportion of the influencing scores. Compared with the traditional model based on the quantity of POIs and tested in the system of different functional zones, the scoring evaluation model improved the overall accuracy by 17.4%, and the kappa coefficient increased from 0.51 to 0.73, with strong robustness. Therefore, the model constructed can provide an accurate full-coverage regional functional area map, which can help planners obtain urban spatial structures and make scientific decisions. (C) 2022 American Society of Civil Engineers. |
| WOS关键词 | LAND-USE CLASSIFICATION ; REMOTE-SENSING DATA ; METRICS ; IMAGES ; CITY |
| 资助项目 | Chinese Academy of Sciences Strategic Leading Special A Earth Big Data Science Project[XDA19060300] ; Major Projects of the National Natural Science Foundation of China[41890854] ; Major Science and Technology Innovation Projects of Shandong Province[2019JZZY020103] |
| WOS研究方向 | Engineering ; Public Administration ; Urban Studies |
| 语种 | 英语 |
| WOS记录号 | WOS:000867612500019 |
| 出版者 | ASCE-AMER SOC CIVIL ENGINEERS |
| 资助机构 | Chinese Academy of Sciences Strategic Leading Special A Earth Big Data Science Project ; Major Projects of the National Natural Science Foundation of China ; Major Science and Technology Innovation Projects of Shandong Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/185956]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yan, Jinfeng |
| 作者单位 | 1.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jia, Feixue,Yan, Jinfeng,Su, Fenzhen,et al. Construction of a Scoring Evaluation Model for Identifying Urban Functional Areas Based on Multisource Data[J]. JOURNAL OF URBAN PLANNING AND DEVELOPMENT,2022,148(4):12. |
| APA | Jia, Feixue,Yan, Jinfeng,Su, Fenzhen,Du, Jiaxue,Zhao, Shiyi,&Bai, Jinbiao.(2022).Construction of a Scoring Evaluation Model for Identifying Urban Functional Areas Based on Multisource Data.JOURNAL OF URBAN PLANNING AND DEVELOPMENT,148(4),12. |
| MLA | Jia, Feixue,et al."Construction of a Scoring Evaluation Model for Identifying Urban Functional Areas Based on Multisource Data".JOURNAL OF URBAN PLANNING AND DEVELOPMENT 148.4(2022):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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