Evaluation And Influencing Factors Of Resilience Of Urban Network Structure In Hubei Province From The Perspective Of Space Of Flows

With the collaborative development of cities and the continuous evolution of urban spatial pattern,the connections between urban systems are becoming closer and more complex,while the risks and challenges they may face are becoming more diversified.An urban network is composed of various "nodes" and "edges" formed by the flow of multi-dimensional elements.Each node is an important link in the development of the network,and its vulnerability to external shocks has a vital impact on the resilience of the overall network.Therefore,driven by a series of urban problems such as population expansion,environmental degradation and frequent natural disasters,how to improve the self-recovery ability of cities to cope with damage and uncertainty,so as to enhance the resilience and sustainable development of urban and regional networks is a difficult problem facing the current urban development.The cities of Hubei Province are taken as the research unit,combined with geographic information system,mathematical statistics,social network analysis and other methods to reveal the structural characteristics of multi-dimensional flow network at multiple levels,evaluate the resilience of urban network from multiple perspectives,and construct a multi-factor influencing factor evaluation model which tries to identify and measure the factors affecting the resilience of multi-dimensional network quantitatively,and put forward relevant optimization suggestions.Also,the paper is aimed at providing some scientific reference for improving the resilience of urban network structure and realizing regional collaborative sustainable development under the background of space of flow.This paper is divided into the following three parts:First,it reveals the structural characteristics of multi-dimensional flow network at multiple levels.Diversified data such as Baidu migration index,Baidu search index,banks and logistics enterprises are used to characterize the population migration flow,information flow,capital flow and logistics between each node,and the urban network matrices are constructed from the perspective of urban flow space.The characteristics of urban network structure are comprehensively analyzed from three levels: point(network nodes),line(network level)and plane(core-edge structure).The results show that:(1)Multidimensional integrated network presents the characteristics of "one main core point + multiple core points" from the point of view of network node characteristics.(2)The hierarchy of nodes in the urban network is obviously differentiated under the impact of different factors.And the connections at the urban level in the central and eastern regions belong to more skeleton or backbone network and account for a large proportion,while the connections in the western cities are mainly dominated by low level connection degree.In terms of spatial distribution,it is strong in the east and weak in the west,and the urban connection network structure presents the characteristics of "big center + small center".(3)Although the number of core cities is small,they are closely connected.,and although the number of peripheral cities is advantageous,the closeness of internal and external connections needs to be enhanced.The multi-dimensional network structure is relatively scattered,showing the structural characteristics of the trapezoidal core area with Wuhan as the core connecting eastern and western Hubei from the core edge structure characteristics of the network.(4)Multidimensional network has certain commonness and difference.Secondly,it assesses the resilience of urban network at multi-angles.The resilience of multi-dimensional network structure is evaluated based on hierarchy and agglomeration,which is the basics of the identification of network nodes.And the evaluation index system of urban resilience constructed is used to analyze the resilience of nodes from the four resilience fields of engineering,society,economy and service comprehensively.The results show that:(1)The resilience of multi-dimensional urban network structure depends on Wuhan obviously,the overall network structure is still weak,and the self-resilience needs to be improved.(2)The fluctuation of dominant status of Wuhan,Xiangyang,Yichang and Xiaogan nodes and the emergence of vulnerable nodes such as Tianmen,Xiantao,Qianjiang and Shennongjia nodes are important reasons affecting the resilience of multi-dimensional urban networks.(3)The four types of resilience in the same city have obvious differences,and the same type of resilience in different cities also show obvious hierarchy.Thirdly,multi-factor regression model of influencing factors of resilience of urban network was constructed.A regression model of influencing factors was constructed by selecting resilience indicators that can represent cities in four fields of engineering,society,economy and service which is based on the structural characteristics,the evaluation results of resilience about multi-dimensional flow networks.Besides,the QAP regression analysis method was used to analyze the influencing factors of resilience on multi-dimensional networks,and relevant optimization suggestions were put forward.The results show that:(1)The development of enterprises,accessibility of transportation,industrial structure,economic development and social services have significant and differentiated effects on the resilience of urban network structure,especially the per capita GDP differences and public budget revenue of the social development factors.(2)Under the influence of regional differences in economic development level,the network status of nodes and resilience of different connection networks have obvious imbalance phenomenon,and the resilience of different combination types of nodes will be affected by different key factors.