Looking into mobility in the Covid-19 ‘eye of the storm’: simulating virus spread and urban resilience in the Wuhan city region travel flow network

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References Alessandretti, L. 2022. What human mobility data tell us about COVID-19 spread. Nature Reviews Physics, 4, 12–13. Ali, S.H., & Keil, R. 2006. Global cities and the spread of infectious disease: the case of severe acute respiratory syndrome (SARS) in Toronto, Canada. Urban Studies, 43(3), 491-509. Ali, S. H., & Keil, R. (Eds.) 2008. Networked disease: Emerging infections in the global city (Vol. 44). Oxford: Blackwell. Bailey, D., Clark, J., Colombelli, A., Corradini, C., De Propris, L., Derudder, B., Fratesi, U., Fritsch, M., Harrison, J., Hatfield, M., & Kemeny, T. 2020. Regions in a time of pandemic. Regional Studies, 54(9), 1163-1174. Beck, M.B., & Walker, R.V. 2013. Nexus security: governance, innovation and the resilient city. Frontiers of Environmental Science & Engineering, 7(5), 640-657. Beer, A., McKenzi, F., Blazek, J., Sotarauta, M., & Ayre, S. 2020. Every place matters: toward effective place-based policy. Regional Studies Association Policy Impact Book, 2(1). Bi, Q., Wu, Y., Mei, S., Ye, C., Zou, X., Zhang, Z., Liu, X., Wei, L., Truelove, S.A., Zhang, T., & Gao, W. 2020. Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study. The Lancet, 20(8), 911-919. Boschma, R. 2015. Towards an evolutionary perspective on regional resilience. Regional Studies, 49(5), 733-751. Brenner, N. 1999. Globalisation as reterritorialisation: The re-scaling of urban governance in the European Union’, Urban Studies, 36(3), 431–51. Brenner, N. 2004. New State Space: Urban governance and the rescaling of statehood. Oxford: Oxford University Press. Brown, E., Derudder, B., Parnreiter, C., Pelupessy, W., Taylor, P. J., & Witlox, F. (2010). World City Networks and Global Commodity Chains: towards a world‐systems' integration. Global Networks, 10(1), 12-34. Burger, M. J., & Meijers, E. J. 2016. Agglomerations and the rise of urban network externalities. Papers in Regional Science, 95(1), 5-15. Burt R.S., 2009. Structural Holes: The Social Structure of Competition. Boston, MA: Harvard University Press. Castells, M. 1996. The Rise of the Network Society: Economy, Society and Culture. Oxford: Blackwell. Castells, M. 2010. Globalization, Networking, Urbanization: Reflections on the spatial dynamics of the information age. Urban Studies, 47(13), 2737-2745. Chinazzi, M., Davis, J.T., Ajelli, M., Gioannini, C., Litvinova, M., Merler, S., Piontti, A.P.Y., Mu, K., Rossi, L., & Vespignani, A. 2020. The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science, 368, 395–400. Christaller, W. 1933/1966. Die zentralen Orte in Süddeutschland, translated by C. W. Baskin as Central Places in Southern Germany. Englewood Cliffs, NJ: Prentice-Hall. Clark, J., Harrison, J., & Miguelez, E. 2018. Connecting cities, revitalizing regions: the centrality of cities to regional development. Regional Studies, 52(8), 1025-1028. Conder, J.A. 2015. Fitting multiple bell curves stably and accurately to a time series as applied to Hubbert Cycles or other phenomena. Mathematical Geosciences, 47(6), 663–678. CSC. 2016. Outline of Yangtze River economic belt development plan. Beijing: State Council Publishing. Derudder, B. 2019. Network Analysis of ‘Urban Systems’: Potential, Challenges, and Pitfalls. Tijdschrift voor economische en sociale geografie. Electronic: https://doi.org/10.1111/tesg.12392 Dong, L. & Kübler, D. 2021. Scale-building in the party-state: The governance of China’s metropolitan regions. Territory, Politics, Governance, 9(4), 493-511. Doran, D., & Fox, A. 2016. Operationalizing central place and central flow theory with mobile phone data. Annals of Data Science, 3(1), 1-24. Eaton, L, & Humphreys, G. 2020. Bulletin of the World Health Organization, 98, 378-379.Electronic: doi: http://dx.doi.org/10.2471/BLT.20.020620 Eraydin, A., & Taşan-Kok, T. 2012. Resilience thinking in urban planning [M]. New York, NY: Springer. ESPON (European Spatial Planning Observation Network). 2020. Polycentric Territorial Structures and Territorial Cooperation: Polycentric development potentials. ESPON. Electronic: https://www.espon.eu/sites/default/files/attachments/ESPON_policy_brief_polycentricity_071016_FINAL_0.pdf Gibbs, H., Liu, Y., Pearson, C.A.B., Jarvis, C.I., Grundy, C., Quilty, B.J., Diamond, C., & Ego, R.M. 2020. Changing travel patterns in China during the early stages of the Covid-19 pandemic. Nature Communications, 11(5012). Electronic: https://doi.org/10.1038/s41467-020-18783-0 Goodall, B. 1987. The Penguin Dictionary of Human Geography. London: Penguin. Guo, Y., Li, B., & Han, Y. 2020. Dynamic network coupling between high-speed rail development and urban growth in emerging economies: Evidence from China. Cities, 105, 10285. Hałaj, G., & Kok, C. 2013. Assessing interbank contagion using simulated networks. Computational Management Science, 10(2-3),157-186. Hall, P., & Pain, K. (Eds.) 2006. The Polycentric Metropolis: Learning from Mega City Regions in Europe. London: Earthscan. Helbing, D. 2013. Globally networked risks and how to respond. Nature, 497(7447), 51-59. Huggins, R., & Thompson, P. 2014. A network-based view of regional growth. Journal of Economic Geography, 14(3), 511-545. Humer, A., & Granqvist, K. 2020. The gradual city-ness and town-ness of public service locations: Towards spatially sensitive sectoral policies. Geoforum, 113, 81-91. Imai, N., Dorigatti, I., Cori, A., Riley, S., & Ferguson, N.M. 2020. Estimating the potential total number of novel Coronavirus (2019-nCoV) cases in Wuhan City. London: Imperial College London. Jia, J.S., Lu, X., Yuan, Y., Xu, G., Jia, J., & Christakis, N.A. 2020. Population flow drives spatio-temporal distribution of COVID-19 in China. Nature, 582, 389-392. Kelly, B.D. & Gulati, G. 2022. Long COVID: The elephant in the room. QJM: An International Journal of Medicine, 115(1), 5-6. Kraemer, M.U.G., Yang, C-H., Gutierrez, B., Wu, C.H., Klein, B., Pigott, D.M., Open Covid-19 Data Working Group., Du Plessis, L. Faria, N.R., & Scarpino, S.V. 2020. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science, 368, 493–497. Krugman, P. 2011. The new economic geography, now middle-aged. Regional Studies, 45(1), 1–7. Lee, V. J., Chiew, C. J., & Khong, W. X. 2020. Interrupting transmission of COVID-19: lessons from containment efforts in Singapore. Journal of Travel Medicine, 27(3), 39-43. Liu, J., Hao, J., Sun, Y., & Shi, Z. 2021. Network analysis of population flow among major cities and its influence on COVID-19 transmission in China. Cities, 112, 103138. Lizieri, C., & Pain, K. 2014. International office investment in global cities: The production of financial space and systemic risk. Regional Studies, 48(3), 439–455. Luo, X., Shen, J., & Chen, W. 2010. Urban networks and governance in city region planning: State-led region building in Nanjing city region China. Geografiska Annaler, Series B, Human Geography, 92(4), 311-326. Mahroum, S., Huggins, R., Clayton, N., Pain, K., & Taylor, P. J. 2008. Innovation by Adoption: Measuring and Mapping Absorptive Capacity in UK Nations and Regions. London: National Endowment for Science, Technology and the Arts (NESTA). McCann, P. (Ed.) 2016. The UK Regional-National Problem: Geography, globalisation and governance. London: Routledge. McCann, P., & van Oort., F. 2009. Theories of agglomeration and regional economic growth: a historical review. In Handbook of Regional Growth and Development Theories, Capello, R., & Nijkamp, P. (Eds.), pp.19–32. Cheltenham: Edward Elgar. McLoughlin, B. 1969. Urban and regional planning: A systems approach. London: Faber and Faber. Meijers, E. 2007. From central place to network model: Theory and evidence of a paradigm change. Tijdschrift Voor Economische En Sociale Geografie, 98, 245-259. Meijers, E. J., & Burger, M. J. 2015. Stretching the concept of ‘borrowed size’. Urban Studies, 54, 269-291. Meijers, E. J., Burger, M. J., & Hoogerbrugge, M. M. 2016. Borrowing size in networks of cities: City size, network connectivity and metropolitan functions in Europe. Papers in Regional Science, 95, 181-198. Mulligan, G.F. 1984. Agglomeration and central place theory: a review of the literature. International Regional Science Review 9(1), 1–42. Neal, Z. 2011. From central places to network bases: A transition in the US urban hierarchy 1900-2000. City & Community, 10(1), 49-75. NDRC. 2016. State Council Instructions on Supporting Wuhan as National Central City. Beijing: State Council Publishing. NHC. 2020. Daily briefing on novel coronavirus cases in China. Beijing: NHC. Electronic: http://en.nhc.gov.cn/2020-05/31/c_80543.htm. Last retrieved April 15, 2021. Nier, E., Yang, J., Yorulmazer, T., & Alentorn, A. 2007. Network models and financial stability. Journal of Economic Dynamics and Control, 31(6), 2033-2060. Nishiura, H., Linton, N.M., & Akhmetzhanov, A.R. 2020. Serial interval of novel coronavirus (COVID-19) infections. International journal of infectious diseases, 93, 284-286. Openshaw, S., & Veneris, Y. 2003. Numerical experiments with central place theory and spatial interaction modelling. Environment and Planning A, 35(8). 1389–1403. Pain, K., & Hall, P. 2008. Informational Quantity versus Informational Quality: The perils of navigating the space of flows. Regional Studies, 42(8), 1065-1077. Pain, K., & Van Hamme, G. (Eds.) 2014. Changing Urban and Regional Relations in a Globalizing World: Europe as a Global Macro-Region. Cheltenham: Edward Elgar. Robinson, J. 2006. Ordinary Cities: Between modernity and development. London: Routledge. Sassen, S. (1991). The Global City: New York, London, Tokyo. Princeton: Princeton University Press. Scott, A. J. (Ed.) 2001. Global City-Regions: Trends, Theory, Policy. Oxford: Oxford University Press. Shi, S., & Pain, K. 2020. The resonance of proximity and network capital in regional development: Evidence from the Mid-Yangtze River Region, China. Urban Studies, 57(14), 2973-2993. Shi, S., Wong, S.K., & Zheng, C. 2021. Network capital and urban development: An interurban capital flow network analysis. Regional Studies. Electronic: DOI: 10.1080/00343404.2021.1955098 Shim, E., Tariq, A., Choi, W., Lee, Y., & Chowell, G. 2020. Transmission potential and severity of COVID-19 in South Korea. International Journal of Infectious Diseases, 93, 339-344. Taylor, P. J. 1997. Hierarchical tendencies amongst World Cities: A research proposal. Cities, 14(6), 323-332. Taylor, P. J. 2004. World City Network: A Global Urban Analysis. London: Routledge. Taylor, P. J. 2013. Extraordinary Cities: Millennia of Moral Syndromes, World-Systems and City/State Relations. Cheltenham: Edward Elgar. Taylor, P. J., Evans, D., & Pain, K. 2008. Application of the interlocking network model to mega-city regions: measuring polycentricity within and beyond city regions. Regional Studies, 42(8), 1079-1093. Taylor, P.J., Hoyler, M., & Verbruggen, R. 2010. External urban relational process: Introducing central flow theory to complement central place theory. Urban Studies, 47(13), 2803-2818. Taylor, P.J., & Pain, K. 2007. Polycentric Mega-city Regions: Exploratory Research from Western Europe. In P. Todorovich (Ed.), The Healdsburg Research Seminar on Megaregions (pp. 59-67). Healdsburg, USA: Lincoln Institute of Land Policy/Regional Plan Association. Tian, H., Liu, Y., Li, Y., Wu, C.H., Chen, B., Kraemer, M.U., Li, B., Cai, J., Xu, B., Yang, Q., & Wang, B. 2020. An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China. Science, 368(6491), 638-642. Van Meeteren, M., Neal, Z., & Derudder, B. 2016. Disentangling agglomeration and network externalities: A conceptual typology. Papers in Regional Science, 95(1), 61–80. Wu, C., Wei, Y.D., Huang, X., & Chen, B. 2017. Economic Transition, spatial development and urban land use efficiency in the Yangtse River Delta, China. Habitat International, 63, 67-78. Wu, F. 2020. Adding new narratives to the urban imagination: An introduction to ‘New directions of urban studies in China’, Urban Studies, 57(3), 459–472. Xiong, C., Hu, S., Yang, M., Luo, W., & Zhang, L. 2020. Mobile device data reveal the dynamics in a positive relationship between human mobility and COVID-19 infections. Proceedings of the National Academy of Sciences, 117(44), 27087-27089. Zhang, W., Derudder, B., Wang, J., & Witlox, F. 2020. An analysis of the determinants of the multiplex urban networks in the Yangtze River Delta. Tijdschrift voor Economische en Sociale Geografie, 111(2), 117-133. Zhang, J., Litvinova, M., Liang, Y., Zheng, W., Shi, H., Vespignani, A., Viboud, C., Ajelli, M., & Yu, H. 2021. The impact of relaxing interventions on human contact patterns and SARS-CoV-2 transmission in China. Sci. Adv. 7, eabe2584 (2021). Zhou, Y., Xu, R., Hu, D., Yue, Y., Li, Q., & Xia, J. 2020. Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: a modelling study using mobile phone data. The Lancet Digital Health, 2(8), e417-e424. Zhu, B., Pain, K., Derudder, B., & Taylor. P.J. 2021. Exploring External Urban Relational Processes: Inter-city Financial Flows Complementing Global City regions. Regional Studies. Electronic: https://doi.org/10.1080/00343404.2021.1921136