Quantifying Urban Expansion and Its Driving Forces in the Indus River Basin Using Multi-Source Spatial Data
文献类型：期刊论文
| 作者 | Luan, Wenfei3,4; Zhu, Jingyao4; Wang, Wensheng2; Ma, Chunfeng5; Liu, Qingkai4; Wang, Yu4; Jing, Haitao4; Wang, Bing1; Li, Hui4 |
| 刊名 | LAND
 |
| 出版日期 | 2026-01-14 |
| 卷号 | 15期号:1页码:164 |
| 关键词 | urban expansion driving factors multi-source spatial data CA-Markov model Indus basin |
| DOI | 10.3390/land15010164 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Urban expansion and its driving factors are frequently analyzed within administrative regions to inform regional urban planning, yet such analyses often fall short at the natural basin scale (referring to the spatial extent defined by hydrological drainage boundaries) due to the scarcity of statistical data. Geographic and socio-economic spatial data can offer more detailed information across various research scales compared to traditional data (such as administrative statistical data, survey-based data, etc.), providing a potential solution to this limitation. Thus, this study took the Indus Basin as an example to reveal its urban expansion patterns and driving mechanism based on natural-economic-social time-series (2000-2020) spatial data, landscape expansion index, and geographical detector model (GDM). Future urban expansion distribution under different scenarios was also projected using Cellular Automata and Markov model (CA-Markov). The results indicated the following: (1) The Indus River Basin experienced rapid urban expansion during 2000-2020 dominated by edge-expansion, with urban expansion intensity showing a continuous increase. (2) Between 2000 and 2010 as well as 2010 and 2020, the dominant factor influencing urban expansion shifted from altitude to population (Pop), while the strongest interacting factors shifted from fine particulate matter (PM2.5) and altitude to Gross Domestic Product (GDP) and Pop. (3) Future urban expansion probably occupies substantial mountainous area under the normal scenario, while the expansion region shifts towards the central plains to protect more ecological zones under a sustainable development scenario. Findings in this study would deepen the understanding of urban expansion characteristics of the Indus Basin and benefit its future urban planning. |
| URL标识 | 查看原文 |
| WOS关键词 | LAND EXPANSION ; PATTERNS |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001671645400001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221042]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Hui |
| 作者单位 | 1.Henan Prov Land Space Survey & Planning Inst, Zhengzhou 450012, Peoples R China 2.Zhengzhou Zhengfang Estate Surveying Co Ltd, Zhengzhou 450003, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Geog Informat Sci & Technol, Beijing 100101, Peoples R China; 4.Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Peoples R China; 5.Chinese Acad Sci, North West Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Luan, Wenfei,Zhu, Jingyao,Wang, Wensheng,et al. Quantifying Urban Expansion and Its Driving Forces in the Indus River Basin Using Multi-Source Spatial Data[J]. LAND,2026,15(1):164. |
| APA | Luan, Wenfei.,Zhu, Jingyao.,Wang, Wensheng.,Ma, Chunfeng.,Liu, Qingkai.,...&Li, Hui.(2026).Quantifying Urban Expansion and Its Driving Forces in the Indus River Basin Using Multi-Source Spatial Data.LAND,15(1),164. |
| MLA | Luan, Wenfei,et al."Quantifying Urban Expansion and Its Driving Forces in the Indus River Basin Using Multi-Source Spatial Data".LAND 15.1(2026):164. |
入库方式： OAI收割
来源：地理科学与资源研究所
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