一个“公式”精算保洁难度系数

Core Insights - The article discusses the implementation of a quantitative model to optimize rural living environment management in Wujiang District, which has led to a reduction in management costs and improved resource allocation [1][2] Group 1: Background and Context - Rural living environment improvement is a key component of the rural revitalization strategy, involving various management tasks such as waste clearance and ecological maintenance [1] - Wujiang District is part of the Yangtze River Delta Ecological Green Integrated Development Demonstration Zone, with 186 administrative villages included in the rural environment improvement initiative [1] Group 2: Implementation of the Quantitative Model - A comprehensive coefficient formula was developed using big data to assess the difficulty of cleaning tasks, incorporating seven core factors such as village number, area, household count, and cleaning personnel metrics [1][2] - The model allows for precise identification of high-difficulty areas, aiding in the scientific allocation of cleaning personnel and optimization of maintenance funding [2] Group 3: Results and Impact - Significant cost reductions were observed in various towns; for instance, Qidou Town's management costs decreased from 21.32% to 17.85% of operating income, while Taoyuan Town saw a drop from 28.20% to 19.59% [2] - By the end of 2025, it is projected that the overall improvement costs in the district could be reduced by 26.03 million yuan [2] - The difficulty coefficient assessment facilitates the identification of challenges, enabling better policy formulation and cost reduction strategies [2]