Resilience Evolution of Urban Network Structures from a Complex Network Perspective: A Case Study of Urban Agglomeration along the Middle Reaches of the Yangtze River
Publication: Journal of Urban Planning and Development
Volume 151, Issue 1
Abstract
With the increasingly notable trend of urban networking and integration, urban development faces an unprecedented increase in unknown risks. Urban governance must improve various risk prevention and control capabilities as soon as possible. In this context, this study builds an integrated network based on economic, information, transportation, and innovation networks. Taking the urban agglomeration along the middle reaches of the Yangtze River as the research area, we used UCINET (version 6.0), ArcGIS (version 10.2), Gephi (version 0.9.2), and other software to analyze these factors from three perspectives: hierarchy, matching, and transmission. We evaluated and analyzed the evolution characteristics of the urban agglomeration network structure resilience from 2011 to 2019. The results showed that (1) from 2011 to 2019, the urban agglomeration in the middle reaches of the Yangtze River formed a network development pattern of “three-core leading and multicenter development.” In this region, the urban network displayed an expanding trend. (2) The hierarchy within the network structure exhibited a weakening trend, yet the matching efficiency and transmission capacity experienced significant improvement. This suggests that the resilience characteristics of the integrated network structure of urban agglomerations are increasingly reinforced, enabling better adaptation to and endurance of external shocks. (3) Enhancements to matching and transmission can partially improve the agglomeration and stability of the urban agglomeration system. This also promotes the resilience and recovery ability of the urban agglomeration system while managing the impacts of uncertain internal and external factors. (4) The interruption simulation demonstrates that the urban agglomeration in the middle reaches of the Yangtze River is significantly influenced by the failure of Wuhan, a city that holds a pivotal role in fostering the resilience of the urban agglomeration network structure. This study aims to provide a foundation for network structure resilience and a reference for promoting healthy regional development, aiding urban agglomeration to achieve high-quality development.
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Data Availability Statement
Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The work is sponsored by the National Natural Science Foundation of China (Grant number 41671158).
References
Boschma, R. 2015. “Towards an evolutionary perspective on regional resilience.” Reg. Stud. 49 (5): 733–751. https://doi.org/10.1080/00343404.2014.959481.
Bristoe, G., and A. Healy. 2020. Handbook on regional economic resilience. Cheltenham, UK: Edward Elgar.
Brusset, X., and C. Teller. 2017. “Supply chain capabilities, risks, and resilience.” Int. J. Prod. Econ. 184: 59–68. https://doi.org/10.1016/j.ijpe.2016.09.008.
Cao, Z., B. Derudder, L. Dai, and Z. Peng. 2022. “‘Buzz-and-pipeline’ dynamics in Chinese science: The impact of interurban collaboration linkages on cities’ innovation capacity.” Reg. Stud. 56 (2): 290–306. https://doi.org/10.1080/00343404.2021.1906410.
Chu, H., Y. Ning, and X. Qie. 2023. “Measurement and spatial correlation analysis of the development level of the digital economy in the Yangtze river delta urban agglomeration.” Sustainability 15 (18): 13329. https://doi.org/10.3390/su151813329.
Crespo, J., R. Suire, and J. Vicente. 2014. “Lock-in or lock-out? How structural properties of knowledge networks affect regional resilience.” J. Econ. Geogr. 14 (1): 199–219. https://doi.org/10.1093/jeg/lbt006.
Ding, Y., M. Zhang, S. Chen, and R. Nie. 2020. “Assessing the resilience of China's natural gas importation under network disruptions.” Energy 211 (1): 118459. https://doi.org/10.1016/j.energy.2020.118459.
Elmqvist, T., E. Andersson, N. Frantzeskaki, T. McPhearson, P. Olsson, O. Gaffney, K. Takeuchi, and C. Folke. 2019. “Sustainability and resilience for transformation in the urban century.” Nat. Sustainability 2 (4): 267–273. https://doi.org/10.1038/s41893-019-0250-1.
Eraydin, A., and T. Tasan-Kok. 2012. Resilience thinking in urban planning. New York: Springer.
Gao, X., C. Ding, H. Wu, and X. Yu. 2024. “Evaluation of network spatial pattern and structural resilience of Chengdu-Chongqing urban agglomeration.” [In Chinese.] J. Hum. Settlements West China 39 (3): 147–154. https://doi.org/10.13791/j.cnki.hsfwest.20240321.
Guo, W., Y. Zhong, and X. Feng. 2022. “Research on the resilience of China's high-speed rail urban network from the perspective of vulnerability.” [In Chinese.] Geogr. Res. 41 (5): 1371–1387. https://doi.org/10.11821/dlyj020210421.
Holling, C. S. 1973. “Resilience and stability of ecological systems.” Ann. Rev. Ecol. Syst. 4 (1): 1–23. https://doi.org/10.146/annurev.es.04.110173.000245.
Hu, Y., H. Q. Zhou, X. M. Jin, Y. F. Shen, and Y. Z. Yan. 2022. “Assessing the resilience of the marine economy: A case study of southern China’s marine economy circle.” Front. Mar. Sci. 9: 912462. https://doi.org/10.3389/fmars.2022.912462.
Huang, C., and B. Hu. 2014. “Simulation modeling and analysis of the group relationship's resilience.” J. Manage. Sci. 22 (1): 686–690. https://doi.org/10.16381/j.cnki.issn1003-207x.2014.s1.113.
Huang, J., Z. Sun, and M. Du. 2022. “Differences and drivers of urban resilience in eight major urban agglomerations: Evidence from China.” Land 11 (9): 1470. https://doi.org/10.3390/land11091470.
Li, R., B. Yu, Q. Wang, G. Wu, and Z. Ma. 2024. “Changes in economic network patterns and influencing factors in the urban agglomeration of Guangdong–Hong Kong–Macao Greater Bay Area: A comprehensive study.” Buildings 14 (4): 1093. https://doi.org/10.3390/buildings14041093.
Liu, H., X. Li, S. Tian, and Y. Guan. 2022. “Research on the evaluation of resilience and influencing factors of the urban network structure in the three provinces of Northeast China based on multiple flows.” Buildings 12 (7): 945. https://doi.org/10.3390/buildings12070945.
Lyu, L., Z. Liang, and R. Huang. 2015. “The innovation linkage among Chinese major cities.” [In Chinese.] Sci. Geogr. Sin. 35 (1): 30–37. https://doi.org/0.11821/dlyj201407014.
Meng, D., X. Feng, and Y. Wen. 2017. “Urban network structure evolution and organizational pattern in Northeast China from the perspective of railway passenger transport.” [In Chinese.] Geogr. Res. 36 (7): 1339–1352. https://doi.org/10.11821/dlyj201707012.
Peng, C., S. Chen, and B. Wang. 2019. “Analyzing city network's structural resilience under disruption scenarios: A case study of passenger transport network in the middle reaches of Yangtze River.” [In Chinese.] Econ. Geogr. 39 (8): 68–76. https://doi.org/10.15957/j.cnki.jjdl.2019.08.009.
Qin, Y., and J. Guo. 2022. “Coupling characteristics of coastal ports and urban network systems based on flow space theory: Empirical evidence from China.” Habitat Int. 126: 102624. https://doi.org/10.1016/j.habitatint.2022.102624.
Shi, J., X. Wamg, C. Wang, H. Liu, Y. Miao, and F. Ci. 2022. “Evaluation and influencing factors of network resilience in Guangdong-Hong Kong-Macao Greater Bay Area: A structural perspective.” Sustainability 14 (13): 8005. https://doi.org/10.3390/su14138005.
Tang, B., W. Xie, and L. Lin. 2023. “Research on spatial structure of flow in Guangzhou metropolitan area from the perspective of multi-source data.” [In Chinese.] Areal Res. Dev. 42 (3): 73–79. https://doi.org/10.3969/j.issn.1003-2363.2023.03.012.
Tian, Y., X. Gao, J. Luo, and L. Tian. 2022. “Spatial complexity and structural resilience of the civil aviation cities network in the Yangtze River economic belt.” [In Chinese.] Areal Res. Dev. 41 (3): 82–88. https://doi.org/10.3969/j.issn.1003-2363.2022.03.014.
Wang, J., Y. Deng, S. A. Qalati, and N. A. Qureshi. 2022. “Urban resilience and transportation infrastructure level in the Yangtze River delta.” Front. Environ. Sci. 10: 893964. https://doi.org/10.3389/fenvs.2022.893964.
Wei, S., and J. Pan. 2021. “Resilience of urban network structure in China: The perspective of disruption.” ISPRS Int. J. Geo-Inf. 10 (12): 796. https://doi.org/10.3390/ijgi10120796.
Wu, Y., W. Que, Y.-g. Liu, L. Cao, S.-b. Liu, and J. Zhang. 2020. “Is resilience capacity index of Chinese region performing well? Evidence from 26 provinces.” Ecol. Indic. 112: 106088. https://doi.org/10.1016/j.ecolind.2020.106088.
Xie, Y., C. Wang, Z. Han, and S. Liu. 2020. “Structural resilience evolution of multiple urban networks in the Harbin-Dalian urban belt.” [In Chinese.] Prog. Geogr. 39 (10): 1619–1631. https://doi.org/10.18306/dlkxjz.2020.10.002.
Xiong, Y., H. Tang, and X. Tian. 2022. “Research on structural toughness of railway city network in Yellow River basin and case study of Zhengzhou 7–20 rainstorm disaster.” Sustainability 14 (19): 12515. https://doi.org/10.3390/su141912515.
Xu, G., and X. Zhang. 2022. “Statistical analysis of resilience in an air transport network.” Front. Phys. 10: 969311. https://doi.org/10.3389/fphy.2022.969311.
Yang, L., H. Yang, X. Zhao, and Y. Yang. 2022. “Study on urban resilience from the perspective of the complex adaptive system theory: A case study of the Lanzhou-Xining Urban Agglomeration.” Int. J. Environ. Res. Public Health 19 (20): 13667. https://doi.org/10.3390/ijerph192013667.
Yang, Y., and W. Liu. 2022. “Resilience analysis of maritime silk road shipping network structure under disruption simulation.” J. Mar. Sci. Eng. 10 (5): 617. https://doi.org/10.3390/jmse10050617.
Yuan, C., J. Zhu, S. Zhang, J. Zhao, and S. Zhu. 2024. “Analysis of the spatial correlation network and driving mechanism of China’s transportation carbon emission intensity.” Sustainability 16 (7): 3086. https://doi.org/10.3390/su16073086.
Zeng, P. 2022. “Resilient cities and urban resilience development mechanisms.” [In Chinese.] Frontiers Z1: 35–45. https://doi.org/10.16619/j.cnki.rmltxsqy.2022.1112.004.
Zhang, Q., and M. Li. 2022. “A betweenness structural entropy of complex networks.” Chaos Solitons Fractals 161: 112264. https://doi.org/10.1016/j.chaos.2022.112264.
Zhang, Y., Y. Yang, S. Wei, Z. Ma, M. Tian, M. Sun, and J. Nie. 2022. “Research on spatial structure and resilience of complex urban network: A case study of Jing-Jin-Ji Urban Agglomeration.” Front. Environ. Sci. 10: 999124. https://doi.org/10.3389/fenvs.2022.999124.
Zhao, K., A. Kumar, T. P. Harrison, and J. Yen. 2011. “Analyzing the resilience of complex supply network topologies against random and targeted disruptions.” IEEE Syst. J. 5 (1): 28–39. https://doi.org/10.1109/JSYST.2010.2100192.
Zhao, R., C. Fang, J. Liu, and L. Zhang. 2022. “The evaluation and obstacle analysis of urban resilience from the multidimensional perspective in Chinese cities.” Sustainable Cities Soc. 86: 104160. https://doi.org/10.1016/j.scs.2022.104160.
Zhong, Y., S. Wu, X. Feng, and Q. Wu. 2020. “Network structure characteristics of middle Yangtze urban agglomeration from the perspective of multi-flow.” [In Chinese.] J. Jiangxi Norm. Univ. (Philos. Soc. Sci. Ed.) 53 (2): 47–55. https://doi.org/CNKI:SUN:JXSZ.0.2020-02-007.
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Journal of Urban Planning and Development
Volume 151 • Issue 1 • March 2025
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© 2024 American Society of Civil Engineers.
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Received: Oct 13, 2023
Accepted: Aug 6, 2024
Published online: Oct 18, 2024
Published in print: Mar 1, 2025
Discussion open until: Mar 18, 2025
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