农业粮食系统中应用系统动力学建模的方法规范元网络分析

IF 3 3区 管理学 Q1 ECONOMICS
J. Aboah , M.M.J. Wilson , K. Bicknell , E.D. Setsoafia
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引用次数: 0

摘要

本文旨在回顾系统动力学建模在农业粮食系统中的现有应用,并从各种建模程序中汲取启示,以强调可持续发展建模方法规范的最佳实践指南。本文采用元网络分析来确定农业中应用可持续发展建模的现有研究。根据综合趋势,确定模型概念化步骤所应用的建模过程类型和模型类型的两个标准是:(i) 模型概念化步骤的直接最终目标;(ii) 模型概念化步骤所应用的建模过程类型和模型类型;(iii) 模型概念化步骤所应用的建模过程类型和模型类型;(iv) 模型概念化步骤所应用的建模过程类型和模型类型:(i) 建模过程的直接最终目标,以及 (ii) 数据的可用性。参与式建模适用于数据有限,且模型输出结果将为利益相关者实施干预措施提供信息的情况。如果行动研究的重点是经过充分研究并拥有大量数据的粮食系统,则可以采用半参与式建模过程,并单独使用定量可持续发展模型。本文的一个主要贡献是提出了在系统动力学建模过程中进行新兴参与式情景开发的程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A meta-network analysis of methodological specifications for system dynamics modelling application in agricultural food systems
This paper aims to review existing applications of system dynamics modelling in agricultural food systems and draw insights from the various modelling procedures in order to highlight best-practice guidelines on methodological specifications for SD modelling. A meta-network analysis was used to identify existing studies that have applied SD modelling in agriculture. Using an algorithm that automatically clusters closely connected research articles based on Boolean search strings that look at the title, keywords, abstract, and digital object identifier (DOI) of the journal articles, 354 journal articles were selected for in-depth content analysis.
Based on the synthesised trends, two criteria for determining the type of modelling process and model type to apply for the model conceptualisation step are: (i) the immediate end goal of the modelling process, and (ii) data availability. Participatory modelling is appropriate when there is limited data and model outputs will inform the implementation of interventions by stakeholders. For action research focusing on well-researched food systems with substantial data available, the semi-participatory modelling process can be adopted, and quantitative SD models can be solitarily used. A key contribution of this paper is the proposed procedure for emergent participatory scenario development within the system dynamics modelling process.
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来源期刊
Futures
Futures Multiple-
CiteScore
6.00
自引率
10.00%
发文量
124
期刊介绍: Futures is an international, refereed, multidisciplinary journal concerned with medium and long-term futures of cultures and societies, science and technology, economics and politics, environment and the planet and individuals and humanity. Covering methods and practices of futures studies, the journal seeks to examine possible and alternative futures of all human endeavours. Futures seeks to promote divergent and pluralistic visions, ideas and opinions about the future. The editors do not necessarily agree with the views expressed in the pages of Futures
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