Site Selection of Waste Recycling Facilities for Renovation of Old Residential Areas:A Case Study of Yangzhou City
As China's urban renewal process accelerates,the importance of resource utilization in the context of waste recycling facilities is becoming increasingly prominent.This study aims to address the problems of high fees and disposal of renovation waste in old residential areas caused by insufficient and unevenly distributed waste transfer and resource processing stations.This study takes Yangzhou City as an example.Our data are collected from the renovation duration,frequency,quantity,and categorization of renovation waste in old residential areas.The K-nearest neighbors(KNN)algorithm is employed to perform multiple clustering-based site selection for transfer and processing stations.Based on the site selection,a genetic algorithm is applied to optimize the route planning.The results address how to optimize the layout of renovation waste transfer and resource processing stations.This research aims to provide valuable insights into the layout of renovation waste in Yangzhou City,enhance the efficiency of renovation waste disposal,contribute to reducing the carbon emissions resulting from waste transportation and processing,and offer effective references for renovation waste resource utilization and station site selection for other cities.
NETL
NSTL
万方数据
