Evaluation Method Of Sustainable Livelihood Of Residents In Resettlement Community Based On Computational Experiment

The development and operation of large-scale projects affect a wide range of communities,a large number of people are affected,and the social environment is changeable.The social risks they face are often more difficult to deal with than technical and economic risks.In order to reduce the social risks of such projects,it is necessary to pay attention to the livelihood issues of the demolition and resettlement residents,master the evolution mechanism of residents’ livelihood,discover the livelihood demands of the people in the project decision-making stage,realize early management and promote the sustainable development of the livelihood of residents in resettled communities.At present,there is a lack of attention to sustainable livelihood in the relevant research of resettled community residents,so it is impossible to achieve predictive livelihood evaluation.Through the discussion of the existing theoretical framework and evaluation methodology,this paper will gradually construct a sustainable livelihood dynamic evaluation method suitable for resettlement community residents.According to the characteristics of the livelihood system of the residents in the resettlement community,this paper uses the theoretical deduction method to determine the sustainable livelihood analysis framework(DFID framework)proposed by the United Kingdom Department for International Development(DFID)as the theoretical support,and demonstrates the applicability and limitations of this theoretical framework for the study of the livelihood of resettlement community residents.Based on the DFID framework,the interaction relationship between the components of the livelihood system and the elements at the macro level is proposed.In order to correspond to the sustainable livelihood theory,and to accurately evaluate,analyze and make decisions on various important components of the livelihood system,this paper introduces a computational experiment method that can realize dynamic evaluation,and establishes a sustainable livelihood for resettlement community residents based on computational experiments.The model takes the sustainable livelihood evaluation index system of residents in resettlement communities based on DFID framework as the main structure,based on the results of data empirical analysis,and taking the calculation experimental method as the research means,which can realize the multi-dimensional and multi-level evaluation of the livelihood status of residents in resettlement communities.In the process of constructing the sustainable livelihood evaluation index system of residents in resettlement communities,based on the above theoretical construction,combined with the literature and existing research conclusions,this paper determines the quantitative livelihood capital evaluation variables and measurement indexes required in the evaluation model,improves the livelihood strategy classification of residents in resettlement communities,divides external environmental factors and selects the livelihood result evaluation index.The sample data of residents in resettlement communities are obtained from the China Labor Dynamics Survey(CLDS)database.The data are processed by entropy method and regression analysis method.While objectively evaluating the basic livelihood status of residents in resettlement communities,the micro action mechanism between livelihood elements is empirically analyzed,which lays a foundation for the construction and verification of subsequent computational experimental model.In the construction of the computational experimental model of the livelihood system,this paper abstracts the key links of the evolution of the livelihood system of residents in the resettlement community as a conceptual situation,structurally designs the livelihood attributes of the family subject,the system environment and the evolution mechanism,realizes the system simulation by using the Netlogo software platform,and finally presents the calculation experimental model with adjustable parameters.In order to verify the feasibility and effectiveness of the model,taking the resettlement community of Minghu project as an example,combined with the actual survey data and regression analysis results,this paper verifies and analyzes the short-term simulation results and long-term prediction trend respectively.This study proposes a sustainable livelihood evaluation method of residents in resettlement communities based on computational experiment.From a dynamic perspective,this method fully combines the traditional livelihood evaluation based on DFID framework with computational experiment methods.On the basis of the characteristics,the development trend of the livelihood system is visualized by the dynamic model,which provides a new way for predicting the livelihood changes of the residents in the resettlement community and realizing early intervention in the decision-making stage of the project development.