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Landscape-Based Assessment of Urban Resilience and Its Evolution: A Case Study of the Central City of Shenyang

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  • Zhimin Liu

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Chunliang Xiu

    (Jangho Architecture College, Northeastern University, Shenyang 110169, China)

  • Wei Song

    (Department of Geography and Geosciences, University of Louisville, Louisville, KY 40292, USA)

Abstract

Urban resilience is increasingly considered a useful approach to accommodate uncertainties while achieving sustainability in urban systems, especially in the context of rapid urbanization and global environmental change. However, current research on the quantitative assessment of urban resilience is limited. This study introduces four proxies of urban resilience, i.e., diversity, connectivity, decentralization, and self-sufficiency, and the perspective of the urban landscape for the measurement of urban resilience and further guidance on planning practices by establishing connections between resilience potential and landscape characteristics. Using multi-source data and employing landscape-based analysis methods, urban resilience is investigated from 1995 to 2015 in the central city of Shenyang. The results indicate that the composition and configuration of the urban landscape changed significantly during this period, which had a great influence on urban resilience. The temporal and spatial evolution of urban resilience showed obviously directional preferences and an evident distance effect. Overall, the resilience level increased slightly, while the internal differences experienced a declining trend. The four characteristics can be deployed as practical principles to shape urban resilience. The adjustment and trade-offs of these aspects to enhance responsive structures and simultaneously maintain sustainable ecosystem services can be effective ways to realize long-term resilience.

Suggested Citation

  • Zhimin Liu & Chunliang Xiu & Wei Song, 2019. "Landscape-Based Assessment of Urban Resilience and Its Evolution: A Case Study of the Central City of Shenyang," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2964-:d:234011
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    Cited by:

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    2. Jun Jiang & Hailin Zhang & Qing Huang & Fei Liu & Long Li & Hongrui Qiu & Shizhe Zhou, 2023. "Diagnosis of Key Ecological Restoration Areas in Territorial Space under the Guidance of Resilience: A Case Study of the Chengdu–Chongqing Region," Land, MDPI, vol. 12(5), pages 1-24, April.
    3. Xiaotong You & Yanan Sun & Jiawei Liu, 2022. "Evolution and analysis of urban resilience and its influencing factors: a case study of Jiangsu Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(3), pages 1751-1782, September.
    4. Xinghua Feng & Chunliang Xiu & Jianxin Li & Yexi Zhong, 2021. "Measuring the Evolution of Urban Resilience Based on the Exposure–Connectedness–Potential (ECP) Approach: A Case Study of Shenyang City, China," Land, MDPI, vol. 10(12), pages 1-22, November.
    5. Yang Ban & Ying Wang & Xiaohong Chen & Liuqing Wei, 2022. "Synergistic Patterns of Urban Economic Efficiency and the Economic Resilience of the Harbin–Changchun Urban Agglomeration in China," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
    6. Maomao Zhang & Weigang Chen & Kui Cai & Xin Gao & Xuesong Zhang & Jinxiang Liu & Zhiyuan Wang & Deshou Li, 2019. "Analysis of the Spatial Distribution Characteristics of Urban Resilience and Its Influencing Factors: A Case Study of 56 Cities in China," IJERPH, MDPI, vol. 16(22), pages 1-22, November.
    7. Xinghua Feng & Yan Tang & Manyu Bi & Zeping Xiao & Yexi Zhong, 2022. "Analysis of Urban Resilience in Water Network Cities Based on Scale-Density-Morphology-Function (SDMF) Framework: A Case Study of Nanchang City, China," Land, MDPI, vol. 11(6), pages 1-23, June.

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