City street network toughness quantitative measurement method

Abstract

The invention discloses an urban street network toughness quantitative measurement method, which comprises the following steps: acquiring space vector data of an urban street network in a target research city according to network open source map data; determining semantic models of points and edges of a street network, and mapping an actual space into network topological structure data formed by the points and the edges; designing random removal and sorting removal experiments to carry out dynamic deduction and iterative simulation; and drawing a relation curve between the urban street network performance index change and the removal ratio, and determining the structure change threshold point of the street network and the disturbance bearing capability of the street network. According to the invention, the structural evolution and toughness characteristic change of the street network in the disturbance process can be disclosed, so that a quantitative measurement method and a calculation model for the toughness of the urban street network are established from a dynamic mechanism level, and key thresholds and important nodes for keeping the street network structure are identified; and a technical tool can be provided for pointedly enhancing the street network toughness level in planning practice.

Description

technical field [0001] The invention belongs to the technical field of urban space toughness analysis, in particular to a method for quantitatively measuring the toughness of urban street networks. Background technique [0002] Contemporary cities are facing increasing risks and challenges, including natural disasters such as earthquakes, floods, fires, and tsunamis, as well as man-made disasters that threaten urban public safety, such as terrorist attacks, disease spread, and fire explosions. Daily fluctuations and functional failures have an impact on the lives of urban residents. With the continuous development of cities and drastic changes in internal and external environments, as a complex social-ecological system, the uncertainty and overall vulnerability faced by cities have deepened. As a new paradigm and realization path of urban risk management and sustainable development, urban resilience emphasizes the improvement of the urban system's own organizational and fun...

AI Technical Summary

Problems solved by technology

However, the single proxy index ignores the structural evolution process and the change of resilience characteristics of the street network structure during the disturbance, and cannot explain the relationship between the network structure and spatial resilience. Therefore, it is difficult to judge the structural transformation threshold, the tolerable disturbance range and the key nodes of the street network. Then guide the improvement of urban spatial resilience level based on the process

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