中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Enhancing urban resilience: mitigating compound risk through multi-scenario land use optimization

文献类型:期刊论文

作者Xin, Jiaxing8; Yang, Jun1,7,8; Ren, Jiayi8; Yu, Wenbo8; Shi, Zhipeng6; Cong, Nan5; Xiao, Xiangming4; Xia, Jianhong (Cecilia)3; Qiao, Zhi2
刊名TRANSPORTMETRICA B-TRANSPORT DYNAMICS
出版日期2025-12-31
卷号13期号:1页码:2552888
关键词Compound drought-heat risk assessment land-use simulation multi-objective optimization the PLUS model spatial characteristics
ISSN号2168-0566
DOI10.1080/21680566.2025.2552888
产权排序5
文献子类Article
英文摘要Transportation and land use greatly impact urban climate and environment, yet few studies have quantified transportation factors despite compound risks increasing in frequency and intensity. This study developed a compound risk index (CRI) by integrating road density and transportation infrastructure density with heat intensity, drought intensity, and socioeconomic indicators. Using multi-objective optimization and the Markov model, we developed natural development and climate adaptation scenarios to optimize land use for mitigating compound risk in Beijing. Results revealed higher road density correlated with higher CRI values, which also concentrated near built-up areas. Land-use types also influenced CRI, with impervious and barren showing the highest risks, followed by croplands, grasslands, and forests. The CRI in the climate adaptation scenario was 2.57% lower than in the natural development scenario. These findings highlight transportation factors' key role in compound risks and underscore strategic land-use planning's importance in mitigating risks, offering actionable insights for sustainable urban development.
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WOS关键词HEATWAVES ; BERLIN
WOS研究方向Transportation
语种英语
WOS记录号WOS:001565168900001
出版者TAYLOR & FRANCIS LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/216081]  
专题拉萨站高原生态系统研究中心_外文论文
通讯作者Yang, Jun
作者单位1.Liaoning Normal Univ, Human Settlements Res Ctr, Dalian, Peoples R China;
2.Tianjin Univ, Sch Environm Sci & Engn, Tianjin, Peoples R China
3.Curtin Univ, Sch Earth & Planetary Sci EPS, Perth, Australia;
4.Univ Oklahoma, Sch Biol Sci, Norman, OK USA;
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Nan Cong Lhasa Plateau Ecosyst Res Stn, Beijing, Peoples R China;
6.Dalian Maritime Univ, Coll Shipping Econ & Management, Dalian, Peoples R China;
7.Northeastern Univ, Jangho Architecture Coll, Shenyang, Peoples R China;
8.Northeastern Univ, Sch Humanities & Law, 195 Chuangxin Rd, Shenyang, Peoples R China;
推荐引用方式
GB/T 7714
Xin, Jiaxing,Yang, Jun,Ren, Jiayi,et al. Enhancing urban resilience: mitigating compound risk through multi-scenario land use optimization[J]. TRANSPORTMETRICA B-TRANSPORT DYNAMICS,2025,13(1):2552888.
APA Xin, Jiaxing.,Yang, Jun.,Ren, Jiayi.,Yu, Wenbo.,Shi, Zhipeng.,...&Qiao, Zhi.(2025).Enhancing urban resilience: mitigating compound risk through multi-scenario land use optimization.TRANSPORTMETRICA B-TRANSPORT DYNAMICS,13(1),2552888.
MLA Xin, Jiaxing,et al."Enhancing urban resilience: mitigating compound risk through multi-scenario land use optimization".TRANSPORTMETRICA B-TRANSPORT DYNAMICS 13.1(2025):2552888.

入库方式: OAI收割

来源:地理科学与资源研究所

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