Identification of Development Stages and Driving Mechanisms in China's Site Remediation Industry
This study systematically collects fundamental data on the development of the soil remediation industry using sociological research tools,including internet open-source data and questionnaire surveys.Based on the G-K model,it identifies and analyzes the developmental stages and spatiotemporal distribution patterns of the soil remediation industry.The weight of the characteristic factors affecting the spatial distribution of site emediation enterprises is analyzed by random forest machine learning model.Additionally,it conducts a comparative analysis of the driving indicators influencing the development of the industry using the Diamond System and Analytic Hierarchy Process(AHP).The findings of this research reveal the patterns and driving mechanisms of China's soil remediation industry,providing recommendations for its systematic,mechanistic,and sustainable development in China.
site remediationindustrial developmentG-K modelAnalytic Hierarchy Process
NETL
NSTL
万方数据
