Research On The Artificial Community System For The Development Of Cumulative Social Impact Assessment In Parks

In recent years,with the acceleration of urbanization,the number of parks has also increased.While the park has promoted local employment,it has also caused a large number of farmers to lose their land.Farmers who have lost land are forced to enter the resettlement community.The social impact caused by the development of the park is concentrated at the community level and accumulates in space over time.The resettlement community presents a kind of "Semi-urbanization" status.In the past,people have given the concept of cumulative social impact of large-scale projects,but they have not yet found a suitable evaluation method.To this end,an evaluation method based on computational experiments is proposed,the key technology of which is the artificial community system.This article attempts to construct an artificial community model.The research in this article believes that the resettlement community is the carrier of the cumulative social impact of the development of the park.For this reason,the literature research method is used to sort out the characteristics of the population behavior,employment,cultural collision,and political participation of the aborigines in the resettlement community.Field observation and interview data are used to analyze the interaction rules between individuals in the placement community,between individuals and the environment,and between individuals and organizations.Based on this,the thesis establishes that the resettlement community is a complex adaptive system,clarifies its constituent elements and the formation logic of the "semi-urbanization" state,and thus outlines the state of the actual system of resettlement communities.Based on the established ACP-Csia method framework for cumulative social impact assessment,the role and functional characteristics of the artificial community system are described.Due to the complexity of the resettlement community,the artificial society multi-agent modeling method is introduced.Based on the above-mentioned analysis of the status of the resettlement community’s real system,the elements of the actual community system are abstracted,so as to analyze the main body’s attribute rules and behavior rules,and defined in the artificial community system.Based on this,the conceptual framework of the artificial community system is proposed,and the artificial community system is decomposed into population,environment,behavior,and social relationship networks,and corresponding generation algorithms are designed respectively,and the sub-model of the artificial community system is constructed to keep matching with the original data.The Net Logo simulation platform was used to design a computational experiment example of the evolution of the community environmental quality status,so as to verify the impact of the organization’s different levels of management enthusiasm on the community environmental status;In addition,a computational experiment example of the influx of migrant population is designed to predict the proportion of the migrant population in the total population of the resettlement community.Based on the cumulative evolution mechanism of the social impact of park development and the actual system of resettlement communities,and guided by the theory and methods of artificial society,this paper finally builds an artificial community model parallel to the actual community system to provide analysis of the cumulative social impact of park development.A new idea is laid down for the realization of the cumulative social impact assessment method for large-scale projects based on computational experiments.