Shi Shuai, Pain Kathy, Chen Xi
Real Estate & Construction, Faculty of Architecture, The University of Hong Kong, Pok Fu Lam, Hong Kong Special Administrative Region.
Real Estate & Planning, Henley Business School, University of Reading, Whiteknights, Reading, Berkshire, United Kingdom.
Cities. 2022 Jul;126:103675. doi: 10.1016/j.cities.2022.103675. Epub 2022 Mar 25.
Recent urban and regional studies have focused on identifying positive spillover effects from intensifying flows of people in city region networks. However, potential negative spillover effects have lacked attention. The article addresses this research gap focusing on the negative spillover effects represented by Covid-19 contagion in the Wuhan regional travel flow network, China. Drawing on central place theory and central flow theory, Covid-19 spatial spread simulation scenarios are explored using a combined micro-level epidemic compartment model and urban network approach. It is found that not only centrally positioned primate but secondary cities are highly risk exposed to contagion. In addition, these cities have enhanced transmission capacity in a balanced, well-connected travel flow network, whereas a centralised or locally clustered network would be more spread resilient. Both hierarchical position and horizontal flows are found relevant for explaining Covid-19 uneven spread and for informing mobility interventions for a potential future outbreak.
近期的城市和区域研究主要聚焦于识别城市区域网络中人口流动加剧所带来的积极溢出效应。然而,潜在的负面溢出效应却未受到关注。本文聚焦于中国武汉区域交通网络中以新冠疫情传播为代表的负面溢出效应,填补了这一研究空白。借鉴中心地理论和中心流理论,运用微观层面的传染病 compartments 模型与城市网络方法相结合的方式,探究新冠疫情的空间传播模拟情景。研究发现,不仅处于中心位置的首位城市,二级城市也面临着较高的疫情传播风险。此外,在平衡、连接良好的交通网络中,这些城市具有更强的传播能力,而集中式或局部集群式网络则更具传播弹性。研究发现,层级位置和横向流动对于解释新冠疫情的不均衡传播以及为未来可能爆发的疫情提供流动性干预措施都具有重要意义。