Research on multi-agent behavior-driven countermeasures of urban domestic waste treatment PPP project

Abstract

The problem of municipal solid waste is one of the most important environmental problems at present. The annual garbage removal volume has reached 200 million tons and is increasing year by year. The predicament of garbage siege needs to be solved. With the development of society, the level of urban domestic waste management has become an important indicator to measure the degree of civilization and modernization of a country, a city. In view of the problems in the garbage disposal ppp project, this paper adopts the grounded theory method, analyzes the interview information and network data through open coding, spindle coding and selective coding, establishes the driver model of garbage disposal project, and builds the residents and enterprises. Leading strategies for green garbage disposal behaviors with the government and other entities.