Optimization of urban service facility allocation for the SDGs: current status, innovations, and prospects
文献类型：期刊论文
| 作者 | Wang, Shaohua1,2; Zhou, Jingyi1; Liang, Haojian1; Zhou, Liang3; Wang, Zhenbo4; Zhao, Siyu3; Wang, Hao1 |
| 刊名 | SUSTAINABLE CITIES AND SOCIETY
 |
| 出版日期 | 2026-05-15 |
| 卷号 | 142页码:107291 |
| 关键词 | Urban service facility allocation Spatial optimization Sustainable Development Goals (SDGs) Optimization paradigms GeoAI |
| ISSN号 | 2210-6707 |
| DOI | 10.1016/j.scs.2026.107291 |
| 产权排序 | 4 |
| 文献子类 | Article |
| 英文摘要 | Urban service facilities refer to spatially distributed facilities that provide essential public and quasi-public services in cities, including healthcare, education, mobility, environmental protection, and other service functions. The allocation of these facilities plays a critical role in advancing multiple Sustainable Development Goals (SDGs), because it shapes service accessibility, social equity, urban resilience, and environmental performance. Unlike prior research that mainly focuses on general facility location models, optimization methods, or application domains, this review proposed an SDG-oriented review framework to systematically examine how urban service facility allocation research engages with specific SDG targets and their quantitative objectives. First, we analyze the characteristics of existing studies by examining publication trends, thematic foci, geographical distributions, and the representation of different SDGs, thereby revealing dominant research directions and underexplored goals and regions. Second, we synthesize optimization approaches for urban service facility allocation by classifying major methodological paradigms and examining how SDG targets are translated into quantitative objectives, constraints, and modeling formulations across different facility types. Third, we discuss the key challenges facing SDG-oriented facility allocation, including goal conflicts and data dependencies, and explore emerging innovations and prospects driven by large foundation models and GeoAI agents. By integrating bibliometric analysis, methodological synthesis, and forward-looking discussion within a unified SDG-oriented framework, this review provides a structured reference from which researchers and practitioners can extract relevant SDG indicators, optimization objectives, and methodological strategies to develop and compare spatial optimization frameworks aligned with specific SDGs. |
| URL标识 | 查看原文 |
| WOS关键词 | BIG-DATA ; WATER-RESOURCES ; LOCATION ; NETWORK ; DESIGN ; MODEL ; MULTIPLE ; STATIONS ; BIOMASS ; SYSTEM |
| WOS研究方向 | Construction & Building Technology ; Science & Technology - Other Topics ; Energy & Fuels |
| 语种 | 英语 |
| WOS记录号 | WOS:001722670000001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221176]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Zhou, Jingyi |
| 作者单位 | 1.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing & Digital Earth, Beijing 100094, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 101408, Peoples R China; 3.Lanzhou Jiaotong Univ, Fac Geomat, Lanzhou 730070, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Shaohua,Zhou, Jingyi,Liang, Haojian,et al. Optimization of urban service facility allocation for the SDGs: current status, innovations, and prospects[J]. SUSTAINABLE CITIES AND SOCIETY,2026,142:107291. |
| APA | Wang, Shaohua.,Zhou, Jingyi.,Liang, Haojian.,Zhou, Liang.,Wang, Zhenbo.,...&Wang, Hao.(2026).Optimization of urban service facility allocation for the SDGs: current status, innovations, and prospects.SUSTAINABLE CITIES AND SOCIETY,142,107291. |
| MLA | Wang, Shaohua,et al."Optimization of urban service facility allocation for the SDGs: current status, innovations, and prospects".SUSTAINABLE CITIES AND SOCIETY 142(2026):107291. |
入库方式： OAI收割
来源：地理科学与资源研究所
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