Research On Urban Spatial Governance In Response To Public Health Emergencies In The Context Of Smart Cities

The arrival of the new crown epidemic has seriously affected people’s daily life.Urban space,as the carrier where citizens work and live,is the main location where virus transmission activities occur.After this outbreak of New Crown pneumonia,various countries have exposed the deficiencies of urban governance in response to public health emergencies.This paper uses Beijing,a mega-city,as an entry point to identify and evaluate the risk elements and levels of urban spaces in Beijing using quantitative analysis,and to explore refined strategies for urban space governance in response to public health emergencies.The former focuses on the historical experience,emphasizing the evolution of management measures and the perspectives and approaches of architectural design and urban planning involved in epidemic prevention in different regions in China and abroad;the latter focuses on the actual policy,and compares the development of the current New Crown pneumonia epidemic,emphasizing the evolution of urban management policies and the contribution of management experience in Beijing in response to the New Crown epidemic.In the empirical part,this paper constructs a risk factor evaluation system in the urban built environment that affects the spread of the epidemic,uses a multiple geographic weighted regression(MGWR)model to regress eight risk factors(screened by least squares),and constructs a neural network classification model using machine learning technology to evaluate the risk of epidemic spread in the sixth ring area of Beijing.The empirical results show that(1)the MGWR results show that the factors that have a strong influence on the risk value of COVID-19 are: population structure,population density,road density,residential area density,and density of living service facilities;and the influence of population structure,residential area,and living service facilities on the risk of COVID-19 has obvious spatial heterogeneity;(2)the neural network classification prediction results show that the entire Fifth Ring Road has a high risk of epidemic transmission,among which the eastern,southeastern and southern areas are the most serious;(3)Based on the analysis of the above experimental results,strategies and suggestions for urban spatial management in Beijing are proposed.The contributions of this paper are:(1)a systematic review of the historical experience of epidemic prevention and control and the "Beijing experience" in the prevention and control of new crown epidemics,which summarizes the management experience for the future occurrence of public health emergencies;(2)The risk factors affecting respiratory infectious diseases in the city were identified and the impact intensity was calculated using the New Crown epidemic as an example,providing strong data support for the proposal of urban spatial governance strategies;(3)the epidemic transmission risk was evaluated for the urban spatial environment within the Sixth Ring Road of Beijing,identifying key areas for spatial governance;(4)a new research paradigm was provided for the study of spatial governance of different epidemics in other cities.