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Spatio-temporal evolution and dynamic simulation of the urban resilience of Beijing-Tianjin-Hebei urban agglomeration

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Abstract

The continuous growth of urban agglomerations in China has increased their complexity as well as vulnerability. In this context, urban resilience is critical for the healthy and sustainable development of urban agglomerations. Focusing on the Beijing-Tianjin-Hebei (BTH) urban agglomeration, this study constructs an urban resilience evaluation system based on four subsystems: economy, society, infrastructure, and ecology. It uses the entropy method to measure the urban resilience of the BTH urban agglomeration from 2000 to 2018. Theil index, standard deviation ellipse, and gray prediction model GM (1,1) methods are used to examine the spatio-temporal evolution and dynamic simulation of urban resilience in this urban agglomeration. Our results show that the comprehensive evaluation index for urban resilience in the BTH urban agglomeration followed a steady upward trend from 2000 to 2018, with an average annual growth rate of 6.72%. There are significant differences in each subsystem’s contribution to urban resilience; overall, economic resilience is the main factor affecting urban resilience, with an average annual growth rate of 8.06%. Spatial differences in urban resilience in the BTH urban agglomeration have decreased from 2000 to 2018, showing the typical characteristic of being greater in the central core area and lower in the surrounding non-core areas. The level of urban resilience in the BTH urban agglomeration is forecast to continue increasing over the next ten years. However, there are still considerable differences between the cities. Policy factors will play a positive role in promoting the resilience level. Based on the evaluation results, corresponding policy recommendations are put forward to provide scientific data support and a theoretical basis for the resilience construction of the BTH urban agglomeration.

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References

  • Allenby B, Fink J, 2005. Toward inherently secure and resilient societies. Science, 309(5737): 1034–1036.

    Article  Google Scholar 

  • Bai L M, Xiu C L, Feng X H et al., 2019. A comprehensive assessment of urban resilience and its spatial differentiation in China. World Regional Studies, 28(6): 77–87. (in Chinese)

    Google Scholar 

  • Briguglio L P, 2016. Exposure to external shocks and economic resilience of countries: Evidence from global indicators. Journal of Economic Studies, 43(6): 1057–1078.

    Article  Google Scholar 

  • Bruneau M, Chang S E, Eguchi R T et al., 2003. A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake Spectra, 19(4): 733–752.

    Article  Google Scholar 

  • Chen T, Li Y L, 2019. Urban design strategies of urban water environment orientation based on perspective of ecological resilience. Science & Technology Review, 37(8): 26–39. (in Chinese)

    Google Scholar 

  • Chen X H, Lou J N, Wang Y, 2020. Evolution and dynamic simulation of the temporal-spatial pattern of urban resilience in Harbin-Changchun urban group. Scientia Geographica Sinica, 40(12): 2000–2009. (in Chinese)

    Google Scholar 

  • Cutter S L, Ash K D, Emrich C T, 2014. The geographies of community disaster resilience. Global Environmental Change, 29: 65–77.

    Article  Google Scholar 

  • Dong G H, Qiu M H, Li R et al., 2021. Using the Fulcrum Cognitive Model to explore the mechanism of past human-land co-evolution. Acta Geographica Sinica, 76(1): 15–29. (in Chinese)

    Google Scholar 

  • Elmqvist T, Andersson E, Frantzeskaki N et al., 2019. Sustainability and resilience for transformation in the urban century. Nature Sustainability, 2(4): 267–273.

    Article  Google Scholar 

  • Fang C L, 2017. Strategic choice of integrated development of Beijing-Tianjin-Hebei urban agglomeration. Reform, (5): 54–63. (in Chinese)

  • Fang C L, 2019. Basic rules and key paths for high-quality development of the new urbanization in China. Geographical Research, 38(1): 13–22. (in Chinese)

    Google Scholar 

  • Fang C L, 2020. Atlas of China Urban Agglomeration. Beijing: Science Press. (in Chinese)

    Book  Google Scholar 

  • Feng Y X, Li G D, 2020. Interaction between urbanization and eco-environment in Tibetan Plateau. Acta Geographica Sinica, 75(7): 1386–1405. (in Chinese)

    Google Scholar 

  • He S W, Wang W W, Zeng C et al., 2016. Spatio-temporal pattern of economic development and the forecast in China. Scientia Geographica Sinica, 36(11): 1622–1628. (in Chinese)

    Google Scholar 

  • Hill E, Wial H, Wolman H, 2008. Exploring regional economic resilience. Working Paper. UC Berkeley: Institute of Urban and Regional Development.

    Google Scholar 

  • Li G J, Kou C H, Wen F H, 2021. The dynamic development process of urban resilience: From the perspective of interaction and feedback. Cities, 114: 103206.

    Article  Google Scholar 

  • Li L G, Zhang P Y, Tan J T et al., 2019. Review on the evolution of resilience concept and research progress on regional economic resilience. Human Geography, 34(2): 1–7. (in Chinese)

    Google Scholar 

  • Li Y, Zhai G F, Gu F M, 2016. Review on methods of quantification of urban infrastructure resilience. Urban Development Studies, 23(6): 113–122. (in Chinese)

    Google Scholar 

  • Ma F, Wang Z H, Sun Q P et al., 2020. Spatial-temporal evolution of urban resilience and its influencing factors: Evidence from the Guanzhong Plain urban agglomeration. Sustainability-Basel, 12(7): 2593.

    Article  Google Scholar 

  • Martin R, 2012. Regional economic resilience, hysteresis and recessionary shocks. Journal of Economic Geography, 12(1): 1–32.

    Article  Google Scholar 

  • Osman T, 2021. A framework for cities and environmental resilience assessment of local governments. Cities, 118: 103372.

    Article  Google Scholar 

  • Peng X L, Jiang H Q, Huang D et al., 2019. The study on space resilience strategies in agglomerations of Guangdong-Hong Kong-Macao Greater Bay Area for adaptation to typhoon climate. Urban Development Studies, 26(4): 55–62. (in Chinese)

    Google Scholar 

  • Shi Y, Zhai G, Xu L et al., 2021. Assessment methods of urban system resilience: From the perspective of complex adaptive system theory. Cities, 112: 103141.

    Article  Google Scholar 

  • Silva J D, Morera B E, 2014. City Resilience Framework: City Resilience Index. Rockefeller Foundation and Arup International Development.

  • Sun D Y, She J W, Liu L Y et al., 2018. Efficiency evaluation for industrial water use and analysis of the spatio-temporal differences in the Yangtze River Delta Urban Agglomeration. Resources & Environment in the Yangtze Basin, 27(9): 1901–1908. (in Chinese)

    Google Scholar 

  • Sun H, Cheng X, Dai M, 2016. Regional flood disaster resilience evaluation based on analytic network process: A case study of the Chaohu Lake Basin, Anhui Province, China. Natural Hazards, 82(1): 39–58.

    Article  Google Scholar 

  • Sun Y, Zhang L C, Yao S M, 2017. Evaluating resilience of prefecture cities in the Yangtze River Delta region from a socio-ecological perspective. China Population, Resources and Environment, 27(8): 151–158. (in Chinese)

    Google Scholar 

  • Tan J T, 2020. Regional economic resilience and influential mechanism during economic crises in China. Scientia Geographica Sinica, 40(2): 173–181. (in Chinese)

    Google Scholar 

  • Wang S C, Yun Y X, Jia Q, 2020. Ecological resilience evaluation of central urban area of Tianjin based on “source-flow-sink” index analysis. Journal of Human Settlements in West China, 35(1): 82–90. (in Chinese)

    Google Scholar 

  • Wang S J, Cui Z T, Lin J J et al., 2021. Coupling relationship between urbanization and ecological resilience in the Pearl River Delta. Acta Geographica Sinica, 76(4): 973–991. (in Chinese)

    Google Scholar 

  • Wang X Y, Tang Y Q, 2020. Research on suitability evaluation index system of normal and epidemic space conversion facing public health emergency. Urban and Rural Planning, (4): 21–27, 36. (in Chinese)

  • Wang Y, 2020. Building resilient city clusters and enhancing regional anti-risk capabilities. Qunzhong, (9): 19–20. (in Chinese)

  • Xie Y S, Wang C J, Han Z L et al., 2020. Structural resilience evolution of multiple urban networks in the Harbin-Dalian urban belt. Progress in Geography, 39(10): 1619–1631. (in Chinese)

    Article  Google Scholar 

  • Yang Y, Lin L, Zhong Z P et al., 2019. Comprehensive evaluation and spatial differentiation of community resilience in Guangzhou based on response of the city to public health hazards. Acta Geographica Sinica, 74(2): 266–284. (in Chinese)

    Google Scholar 

  • Yang Y T, 2016. Study on evaluation system and optimization strategy for resilient community under the perspective of earthquake resistance [D]. Beijing: Beijing University of Technology. (in Chinese)

    Google Scholar 

  • Zhao R D, Fang C L, Liu H M, 2020. Progress and prospect of urban resilience research. Progress in Geography, 39(10): 1717–1731. (in Chinese)

    Article  Google Scholar 

  • Zhu J H, Sun H X, 2020. Research on spatial-temporal evolution and influencing factors of urban resilience of China’s three metropolitan agglomerations. Soft Science, 34(2): 72–79. (in Chinese)

    Google Scholar 

Download references

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Correspondence to Chuanglin Fang.

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Foundation

Innovation Research Group Project of National Natural Science Foundation of China, No. 42121001

Author

Mu Xufang, PhD Candidate, specialized in urban sustainable development study. E-mail: muxufang_1992@126.com

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Mu, X., Fang, C. & Yang, Z. Spatio-temporal evolution and dynamic simulation of the urban resilience of Beijing-Tianjin-Hebei urban agglomeration. J. Geogr. Sci. 32, 1766–1790 (2022). https://doi.org/10.1007/s11442-022-2022-5

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  • DOI: https://doi.org/10.1007/s11442-022-2022-5

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