Evaluation And Simulation Of Community Participation Degree In Deprived Neighborhoods Renovation

Renovation of deprived neighborhoods is an important measure to implement the spirit of the 19 th CPC National Congress,solve the problem of insufficient and imbalanced urban development,and realize the people's longing for a better life.In recent years,various governments in China have introduced relevant policies to vigorously promote the renovation of deprived neighborhoods.However,in the renovation of deprived neighborhoods,construction obstruction,neighborhood conflicts,and dirty resurgence often occur.The reason is the lack of residents' participation in the renovation of deprived neighborhoods.At present,the research on the renovation of deprived neighborhoods and residents' participation mainly focuses on qualitative and post-mortem analysis,and lacks quantitative evaluation and simulation prediction of residents' participation in the process of renovation.Firstly,Based on the analysis of the three core concepts of deprived neighborhood,residents' participation and degree of participation,the 27 residents' participation behaviors in the deprived neighborhood renovation are summarized,and the degree of participation is divided into cognitive participation,emotional participation,behavioral participation and participation contribution.Secondly,based on ANP and ELECTRE-II,the evaluation model of the participation of the deprived neighborhood residents is established,and the degree of residents' participation is divided into five participating gradients.Thirdly,referring to the theory of social practice,the 18 factors of residents' participation in the deprived neighborhood are classified into three categories: field,habitus and capital.The structural equation model is used to explore the influence mechanism of participation,and the result is that field,habit and Capital affects participation separately,field influence habits,habits affect capital,and capital affects the field.Fourthly,the 18 influencing factors of participation are taken as input values,and the participation degree is taken as the output value in the BP neural network,which is used to establish the deprived neighborhood prediction model.It is verified that the model can successfully predict the degree of residents' participation in the deprived neighborhood according to the given factors of participation.Fifthly,taking the Hehuali Community and Hongmiao Community in Nanjing as examples,the degree of residents' participation in the two communities were calculated and the reasons for the differences were analyzed.The consistency of the simulation results and the degree of actual participation was verified by adjusting the influencing factors in the simulation model.Finally,through the simulation model,the changes of the resident' participation degree under different government propaganda measures,incentives measures and response measures are explored.When government capacity is strong,improving government incentives measures should be considered firstly.When government capacity is insufficient,strengthening government response measures should considered firstly.The research results can effectively measure the participation degree in the deprived neighborhood renovation,reveal the influence mechanism of the residents' participation of the deprived neighborhood,and realize the simulation and prediction of the change trend of the residents' participation in the deprived neighborhood,which can help the government adopt diversified measures to guide residents to participate in the renovation of deprived neighborhoods from the bottom up,to enhance the participation of residents in the renovation of deprived neighborhoods,and to achieve the simultaneous promotion of residents' participation and renovation of deprived neighborhoods.