Analysis of Public Space in Historic Districts Based on Community Governance and Neural Networks
Ding Fan, Yunying Ren, Sotirios K. Goudos, Ya Zhao
Abstract
Based on the perspective of community governance, this paper explores the research path of public space renewal in historic city districts. Taking the historical public space of Lhasa city as an example, this paper analyzes the causes of the characteristics of public space, analyzes the logical relationship between public space and urban renewal and community governance, applies the neural network evaluation model. Firstly employed cell rasterization, indicator classification, and population density estimation to calculate the score for each indicator. And then the principal component extracted by principal component analysis is used as the input node of the neural networkit determines the weight of each indicator by adopting the entropy method, based on which it built a multi-dimensional indicator system to evaluate public space satisfaction of historic District of Lhasa and finally, optimizes the pattern of historical public space of Lhasa city by improving the spatial structure. The aim is to create intelligent living blocks and optimize the life mode of historical blocks. Regarding significance, first, from the human-oriented perspective, the exploration of public space renewal in historic districts is in essence a process in which people develop continuously and their needs are continuously satisfied. This approach can meet the multilevel needs of residents at different stages. Second, from a social perspective, the innovative pattern of community governance can help achieve self-satisfaction within the district, radiate to the surrounding industries, and relieve the pressure of social employment. Third, from the perspective of urban renewal implementation, research on the public space renewal of historic districts can help promote the balance of the social-ecological environment, improve regional governance and promote the high-quality development of cities. The future outlook is presented.