Spatio-temporal evolution and factor explanatory power analysis of urban resilience in the Yangtze River Economic Belt

Abstract

Urban resilience assesses a city’s ability to withstand unknown risks. Scholars are not comprehensive in assessing urban resilience, and they lack consideration of population resilience. This study investigated 110 prefecture-level cities in the Yangtze River Economic Belt (YREB) as study areas. We calculated the YREB’s level of urban resilience based on the aspects of “economy-society-population-ecology-infrastructure”, which ensured that the comprehensive evaluation of urban resilience is complete and sufficient. The spatio-temporal evolution of urban resilience was analyzed using exploratory spatial data. Geodetectors were used to investigate the impact of several indicators, focusing on economic, social, population, ecological, and infrastructure factors, on urban resilience. The results showed that the urban resilience of the YREB has maintained a slow upward trend from 2005 to 2018, and the average urban resilience of the YREB has risen from 0.2442 to 0.2560. The resilience gap between cities in the study region increased initially and then decreased. The dominant factor in the spatial differentiation of urban resilience was the economic factors, followed by the population factors. Urban resilience has been clarified and an evaluation index system is constructed, which can provide an effective reference for the evaluation of urban resilience among countries around the world. Based on this, factors that optimize urban resilience are configured, and the regional and national sustainable development can be promoted.

Keywords

Urban resilience / Spatial-temporal differentiation / Geographical detector / Exploratory spatial data analysis / The Yangtze River Economic Belt

Declaration of Competing Interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

I would like to thank the National Natural Science Foundation of China (Grant No. 42061041) for the Funding.

Supplementary materials

Supplementary material associated with this article can be found, in the online version, at doi: 10.1016/j.geosus.2022.09.004.

References

[1] Alberti, M., Marzluff, J.M., Shulenberger, E., Bradley, G., Ryan, C., Zumbrunnen, C., 2003. Integrating humans into ecology: opportunities and challenges for studying urban ecosystems. BioScience 53 (12), 1169-1179.

[2] Alizadeh, H., Sharifi, A., 2020. Assessing resilience of urban critical infrastructure networks: a case study of Ahvaz, Iran. Sustainability 12 (9), 3691.

[3] Alizadeh, H., Sharifi, A., 2022. Social resilience promotion factors during the COVID-19 pandemic: insights from Urmia, Iran. Urban Sci. 6 (1), 14.

[4] Bai, L.M., Xiu, C.L., Feng, X.H., Mei, D.W., Wei, Y., 2019. Comprehensive assessment of urban resilience in China and its spatial and temporal differentiation characteristics. World Geogr. Res. 28 (6), 77-87 (in Chinese).

[5] Balakrishnan, S., Zhang, Z., Machemehl, R., Murphy, M.R., 2020. Mapping resilience of Houston freeway network during Hurricane Harvey using extreme travel time metrics. Int. J. Disaster. Risk Reduct. 47, 101565.

[6] Bruneau, M., Chang, S.E., Eguchi, R.T., Lee, G.C., O’Rourke, T.D., Reinhorn, A.M., Von Winterfeldt, D., 2003. A framework to quantitatively assess and enhance the seismic resilience of communities. Earthq. Spectra. 19 (4), 733-752.

[7] Burton, C.G., 2015. A validation of metrics for community resilience to natural hazards and disasters using the recovery from Hurricane Katrina as a case study. Ann. Assoc. Am. Geogr. 105 (1), 67-86.

[8] Campanella, T.J., 2006. Urban resilience and the recovery of New Orleans. J. Am. Plann. Assoc. 72 (2), 141-146.

[9] Cang, D.L., 2006. Research on government information resource planning (GIRP). Libr. Theory Pract. (6) 38-40 (in Chinese).

[10] Chen, A.P., 2022. Agglomeration and China’s urban economic resilience. World Econ. 45 (1), 158-181 (in Chinese).

[11] Chen, S.Q., Xia, A.T., 2020. Temporal and spatial evolution of urban resilience and obstacle factor diagnosis in rapidly urbanizing regions: a case study of urban agglomerations in the middle reaches of the Yangtze River. Mod. Urban Res. (1) 37-44 +103 (in Chinese).

[12] Chen, W.G., Liu, J.X., 2020. The spatial and temporal evolution of urban resilience in the Yangtze River Delta urban agglomeration. Value Eng. 39 (12), 81-83.

[13] Chu, H., Yang, J.Z., 2020. Building disaster resilience using social messaging networks: the WeChat community in Houston, Texas, during Hurricane Harvey. Disasters 44 (4), 726-752.

[14] Deng, X.J., Hu, S., Zhan, C.S, 2022. Attribution of vegetation coverage change to climate change and human activities based on the geographic detectors in the Yellow River Basin, China. Environ. Sci. Pollut. Res. 29, 44693-44708.

[15] Fang, Y.L., Su, X.Q., Huang, Z.F., Cheng, X.L., 2022. Study on the spatial spillover effect of urban resilience on tourism economy, taking the Yangtze River Delta City Cluster as an example. Adv. Geogr. Sci. 41 (2), 214-223 (in Chinese).

[16] Feng, J.Y., Liu, Y.L., Wang, J., Zhang, H.M., 2020. The impact of economic development level and environmental pressure on urban resilience: based on panel data of 11 prefecture-level cities in Shanxi Province. Ecol. Econ. 36 (9), 101-106 +163 (in Chinese).

[17] Folke, C., 2006. Resilience: the emergence of a perspective for social-ecological systems analyses. Glob. Environ. Change 16 (3), 253-267.

[18] Gao, S.Q., Dong, G.T., Jiang, X.H., Nie, T., Yin, H.J., Guo, X.W., 2021. Quantification of natural and anthropogenic driving forces of vegetation changes in the Three-River Headwater Region during 1982-2015 based on geographical detector model. Remote Sens. 13 (20), 4175.

[19] Gluščić V., Šilović H.M., Bešlić I., Davila, S., Pehnec, G., 2020. Levels of hydrogen sulphide, ammonia, and mercaptans in the air of the central wastewater treatment plant Zagreb area. Kem. Ind. 69 (13), 65-74.

[20] Godschalk, D.R., 2003. Urban hazard mitigation, creating resilient cities. Nat. Hazards Rev. 4 (3), 136-143.

[21] Guo, Z., Yao, S., Chen, S., Wu, W., Liu, W., 2020. Spatial-temporal evolution of the livability levels in the Yangtze River Delta urban agglomerations and its influencing factors. Econ. Geogr. 40, 79-88.

[22] Hasan, M.H., Kadir, S.B., 2020. Social assessment of community resilience to earthquake in Old Dhaka. Nat. Hazards Rev. 21 (3), 05020004.

[23] He, L., 2019. The Sino-US trade war and the trend of international economic law in the context of anti-globalization. Political Law (5) 3-14 (in Chinese).

[24] Holling, C.S., 1973. Resilience and stability of ecological systems. Annu. Rev. Ecol. Evol. S. 4 (1), 1-23.

[25] Holling, C.S., 1996. Engineering resilience versus ecological resilience. In: ShulzeP.C.(Ed.), Engineering Within Ecological Constraints. National Academy of Engineering, Washington D.C.

[26] Holling, C.S., 2001. Understanding the complexity of economic, ecological, and social systems. Ecosystems 4 (5), 390-405.

[27] Hu, G.Z., Zeng, W.H., Ma, B.R., 2022. Roadmap for coordinated development of economic construction and ecological protection in protected areas: take Sanjiangyuan area as an example. Biodiv. Sci. 30 (2), 21225 (in Chinese).

[28] Lamond, J.E., Proverbs, D.G., 2009. Resilience to flooding: lessons from international comparison. Proc. Inst. Civil Eng. Urban Des. Plan. 162 (2), 63-70.

[29] Li, J., Wang, J.L., Zhang, J., Liu, C.L., He, S.L., Liu, L.F., 2022. Growing-season vegetation coverage patterns and driving factors in the China-Myanmar economic corridor based on Google earth engine and geographic detector. Ecol. Indic. 136, 108620.

[30] Li, N., Li, T.B., Fang, Y.G., Zhou, L.J., Wang, Y., Zhao, W., 2019. A study on the evolution of the spatiotemporal pattern of economic efficiency in county areas in Jilin Province. Geogr. Sci. 39 (8), 1293-1301 (in Chinese).

[31] Li, Q., Ma, X.Y., Xia, Q., 2020. Inspiration from domestic and foreign research on resilient cities to the spatial planning of the Yellow River floodplain. Urban Dev. Res. 27 (2), 54-61 (in Chinese).

[32] Li, X.M., Liu, K.Q., Tian, S.Z, Guan, Y.Y., Liu, H., 2022. Evaluation of urban living environment resilience based on DPSIR model: taking the Yangtze River Delta urban agglomeration as an example. Hum. Geogr. 37 (1), 54-62 (in Chinese).

[33] Li, X.Y., Dai, L.Y., Mou, S.Q., Yan, X.F., 2022. Measurement of the contribution of population density to economic growth in the Yangtze River Delta Region. Stat. Decis. Mak. (7) 46-51 Chinese.

[34] Liu, Q., Wu, S., Lei, Y., Li, S., Li, L., 2020. Exploring spatial characteristics of city-level CO₂ emissions in China and their influencing factors from global and local perspectives. Sci. Total Environ. 754, 142206.

[35] Liu, S.S., Jiang, X., Zhang, L., Zhang, Z.C., Cai, Y.T., 2021. Research on the measurement of urban economic resilience in the Yangtze River Economic Belt and its spatial and temporal evolution. Spec. Econ. Zone. (6) 31-35 (in Chinese).

[36] Li, X., Zhou, L., Jia, T., Liu, F.Y., Zou, Y.L., 2021. Analysis of urban spatial risk factors under the “New Crown ” Epidemic: taking Wuhan as an example. Urban Plan. 45(8), 78-86 (in Chinese).

[37] Liu, Y.P., 2021. Measurement of urban resilience system development: an empirical study based on 288 Chinese cities. Urban Dev. Res. 28 (6), 93-100 (in Chinese).

[38] Liu, Z., Xiu, C., Song, W., 2019. Landscape-based assessment of urban resilience and its evolution: a case study of the central city of Shenyang. Sustainability 11 (10), 2964.

[39] Lu, P., Stead, D., 2013. Understanding the notion of resilience in spatial planning: a case study of Rotterdam, The Netherlands. Cities 35, 200-212.

[40] Ma, D.B., Shen, Z.P., 2021. Study on the coupling and coordination of urban resilience and economic development level: taking Beijing-Tianjin-Hebei Urban Agglomeration as an example. Resour. Dev. Mark. 37 (7), 820-827 (in Chinese).

[41] Ma, F., Wang, Z., Sun, Q., Yuen, K.F., Zhang, Y., Xue, H., Zhao, S., 2020. Spatial-temporal evolution of urban resilience and its influencing factors: evidence from the Guanzhong plain urban agglomeration. Sustainability 12 (7), 2593.

[42] Nan, Y.Q., Li, Q., Yu, J.X., Cai, H.Y., Zhou, Q., 2019. Has the emissions intensity of industrial sulphur dioxide converged? New evidence from China’s prefectural cities with dynamic spatial panel models. Environ. Dev. Sustain. 22, 5337-5369.

[43] Peng, C., Chen, Z.F., Wu, H.R., Sun, X., Yao, N., 2016. Spatial-temporal differentiation of urban sustainable development in China based on ESDA. China Popul. Resour. Environ. 26 (2), 144-151 (in Chinese).

[44] Peng, C., Lin, Y.Z., Wu, Y.T., Peng, Z.R., 2021. Urban resilience assessment of the Yangtze River Economic Belt based on “cost-capacity-energy efficiency ”. Resour. Environ. Yangtze River Basin 30 ( 8), 1795-1808 (in Chinese).

[45] Pickett, S.T., McGrath, B., Cadenasso, M.L., Felson, A.J., 2014. Ecological resilience and resilient cities. Build. Res. Inf. 42 (2), 143-157.

[46] Qiu, A.J., Bai, W., Guan, J., 2019. Exploration and innovation of global 100 resilient cities strategy compilation method: taking Deyang City, Sichuan Province as an example. Urban Dev. Res. 26 (2), 38-44 +73 (in Chinese).

[47] Qiu, B.X., 2015. Depth of urbanization, countermeasures and suggestions to enhance the economic vitality and keep the capacity on sustainable development during the period of the Thirteenth Five Plan Period. Urban Dev. Stud. 22 (7), 1-7 (in Chinese).

[48] Rao, Y.M., Li, C.J., Li, H.M., 2020. Urbanization-the coordinated development level of natural ecosystems and its impact on the urban-rural income gap-a comparative study based on the urban agglomerations of Chengdu-Chongqing, Central Guizhou, and Central Yunnan in the upper reaches of the Yangtze River. Ecol. Econ. 36 (6), 77-82 +88 (in Chinese).

[49] Ren, C.F., Cheng, Y.M., Zheng, X., Zhou, L., 2019. Evaluation of ecological carrying capacity in Huaibei City based on the mean square deviation decision method. Ecol. Sci. 38, 168-177 (in Chinese).

[50] Shen, R., 2022. Practice and thinking of resilient urban governance under public health emergencies: taking the epidemic prevention and control in Xiamen as an example. Hebei Enterprises (7) 90-92 (in Chinese).

[51] Shi, T., 2022. The spatiotemporal evolution and driving factors of urban resilience development in the Yellow River Basin. Reg. Econ. Rev. (1) 139-149 (in Chinese).

[52] Song, J., Huang, B., Li, R., 2018. Assessing local resilience to typhoon disasters: a case study in Nansha, Guangzhou. PLoS One 13 (3), e0190701.

[53] Stremlau, N., Tsalapatanis, A., 2022. Social media, mobile phones and migration in Africa: a review of the evidence. Prog. Dev. Stud. 22 (1), 56-71.

[54] Suárez, M., Gómez, B.E., Benayas, J., Tilbury, D., 2016. Towards an urban resilience Index: a case study in 50 Spanish cities. Sustainability 8 (8), 774.

[55] Sun, Y.N., You, X.T., 2021. The level measurement of urban resilience and its temporal and spatial evolution law: taking Jiangsu Province as an example. Nanjing Soc. Sci. (7) 31-40 +48 (in Chinese).

[56] 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 Popul. Resour. Environ. 27 (8), 151-158 (in Chinese).

[57] Tan, J., Zhang, P., Lo, K., Li, J., Liu, S., 2017. Conceptualizing and measuring economic resilience of resource-based cities: case study of Northeast China. Chin. Geogr. Sci. 27 (3), 471-481.

[58] Tyler, S., Moench, M., 2012. A framework for urban climate resilience. Clim. Dev. 4 (4), 311-326.

[59] Vu, H.L., Ng, K.T.W., Richter, A., Kabir, G., 2021. The use of a recurrent neural network model with separated time-series and lagged daily inputs for waste disposal rates modeling during COVID-19. Sustain. Cities Soc. 75, 103339.

[60] Wan, J.Q., Liang, X., 2022. Thoughts on urban resilience construction under the normalization of the epidemic. Economist (3) 38-41 (in Chinese).

[61] Wang, J.F., Xu, C.D., 2017. Geodetector: principle and prospective. Acta Geogr. Sin. 72 (1), 116-134 (in Chinese).

[62] Wang, Q., Li, L.J., 2021. The effects of population aging, life expectancy, unemployment rate, population density, per capita GDP, urbanization on per capita carbon emissions. Sustain. Prod. Consum. 28, 760-774.

[63] Wang, T., Li, H., Huang, Y., 2021. The complex ecological network’s resilience of the Wuhan metropolitan area. Ecol. Indic. 130, 108101.

[64] Wardekker, J.A., de Jong, A., Knoop, J.M., van der Sluijs, J.P., 2010. Operationalising a resilience approach to adapting an urban delta to uncertain climate changes. Technol. Forecast. Soc. 77 (6), 987-998.

[65] Wei, H.K., 2009. Analysis of the difference between China’s GRP and GDP growth rates. Zhongzhou Acad. J. (2) 29-34 (in Chinese).

[66] Wu, G., Francey, L.J., Ruben, M.D., Hogenesch, J.B., 2021. Normalized coefficient of variation (nCV): a method to evaluate circadian clock robustness in population scale data. Bioinformatics 37 (23), 4581-4583.

[67] Wu, X., Zhang, H., 2021. Evaluation of ecological environmental quality and factor explanatory power analysis in western Chongqing, China. Ecol. Indic. 132, 108311.

[68] Xiu, C., Wei, Y., Wang, Q., 2018. Evaluation of urban resilience of Dalian city based on the perspective of “Size-Density-Morphology ”. Acta Geogr. Sin. 73 (12), 2315-2328 (in Chinese).

[69] Xu, J.X., Zhang, W.Z., Chen, L., 2022. Influence of Hangzhou urban population density on perception of human settlement environment. Geogr. Sci. 42 (2), 208-218 (in Chinese).

[70] Xu, Y.Y., Wang, C., 2017. Influencing factors of regional economic elasticity under the background of financial crisis: taking Zhejiang and Jiangsu provinces as examples. Adv. Geogr. Sci. 36 (8), 986-994 (in Chinese).

[71] Yang, L., Wang, L., 2022. Comprehensive assessment of urban water resources carrying capacity based on basin unit: a case study of Qingdao, China. Water Supply 22 (2), 1347-1359.

[72] Zhang, K.Z., He, F., Huang, Y.Y., Cui, X.Y., 2021. Tax incentives, rent sharing and intra- company income inequality. Econ. Res. 56 (6), 110-126 (in Chinese).

[73] Zhang, M.D., Feng, X.Q., 2018. Comprehensive evaluation of China’s urban resilience. Urban Issues (10), 27-36 (in Chinese).

[74] Zhang, M., LUO, H.L., Chen, L., 2018. Vulnerability assessment of resource-based city - a case study of Panzhihua. Resour. Environ. Yangtze Basin 27 (5), 1170-1178 (in Chinese).

[75] Zhang, Z.C., Lin, Y.Z., Peng, C., 2021. Social resilience assessment and improvement strategies of urban agglomerations in the Yangtze River Economic Belt. In: Spatial Governance for High-Quality Development. Proceedings of the 2020 China Urban Planning Annual Conference, pp. 393-402 (in Chinese).

[76] Zheng, Y., Xie, X.L., Lin, C.Z., Wang, M., He, X.J., 2018. Development as adaptation: framing and measuring urban resilience in Beijing. Adv. Clim. Change Res. 9 (4), 234-242.

[77] Zhou, Z.M., Li, J.W., Qin, Y.F., Duan, D.G., 2022. The impact of financial technology expenditure on total factor productivity and its mechanism analysis. Econ. Geogr. 42 (1), 108-116 (in Chinese).

[78] Zhuang, G.B., Wang, X.Y., 2022. China’s urban resilience governance in the fight against the new crown pneumonia epidemic and its international comparison. Popul. Soc. 38 (2), 75-88 (in Chinese).

[79] Zuo, C., 2019. The impact of “One Belt, One Road ” on the distribution of foreign investment- Based on a regional perspective. China Foreign Invest. (1) 94-96 (in Chinese).