动态系统可持续性仿真模型

Normunds Mihailovs, S. Cakula
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It includes 3 main aspects - how sustainable is the dynamic system, what is the level of sustainability of a dynamic system under alternative development scenarios and what additions are needed to improve the functioning of the imitation model. \nThe research question of the paper is: what imitation model can effectively  analyse and forecast a dynamic system in the case of the tourism object Cesis Palace. \nSustainable development researchers offer to build on traditional principles and interlinked dimensions of sustainable development: environment, economic and social, and adapt them to the dynamic system, which is characterized by the interactions between components (Tanguay et.al., 2011; Mai, Smith, 2018). 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Significant changes in the system take place in a situation where a number of indicator groups are affected by the changes. \nDISCUSION AND CONCLUSIONS \nIn order to use this model further, it would be necessary to develop an improved methodology for evaluating model indicators. \nTo ensure a more efficient model performance and data quality, data security and integrity should be taken into account. Creation of an imitation model requires the acquisition, processing and issuing of large amounts of data that are exposed to data security and integrity risks, which may have a negative impact, not only on the functioning of the model, but also on the system itself. \nTo significantly improve the definition, selection, value assignment, and to more accurately identify the importance of interfacing elements and to express future forecasts, the author proposes to evaluate the use of machine-learning in imitation modelling. 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引用次数: 0

摘要

评估具有许多利益相关者、相互关联的组成部分和相互作用的动态、开放和复杂系统的可持续性以及使用传统研究方法进行预测是复杂的,并且有其局限性。因此,研究人员在预测动态系统的可持续性时,往往依赖于主观判断,而不参考评估标准。本文的目的是建立一个动态系统可持续性的模拟模型,以评估和预测该系统在不同发展情景下的可持续性。它包括三个主要方面-动态系统的可持续性如何,动态系统在其他发展情景下的可持续性水平是什么,以及需要哪些补充来改善模仿模型的功能。本文的研究问题是:什么样的仿真模型可以有效地分析和预测旅游对象Cesis Palace的动态系统。可持续发展研究人员提出建立在可持续发展的传统原则和相互关联的维度:环境、经济和社会,并使其适应以各组成部分之间相互作用为特征的动态系统(Tanguay等)。, 2011;Mai, Smith, 2018)。一种有助于解释此类系统的研究是仿真建模,这在研究动态系统的相互作用时经常使用(Johnson, 2011)。材料和方法本文将Cesis Palace建筑群作为旅游景点作为动态系统的一个例子,因为旅游业既是一个具有许多相互关联的组成部分的动态系统,同样重要的是其长期发展的可持续性的三个维度。在研究过程中,采用了多种数据获取方法:结构化访谈、统计分析、案例分析和对所创建的模仿模型的专家访谈。为实现研究目标,利用STELLA动态系统建模环境,建立了旅游可持续性模仿模型模型。模型和指标的选择基于三个关键的可持续性维度:经济、环境和社会/文化。工作的结果是一个计算机模型,该模型通过输入研究过程中产生的数据来帮助评估现实生活系统的可持续性及其维度。结论是所考虑的旅游对象具有潜在的可持续性。通过模拟备选发展情景,可以得出一组指标的要素既可以影响其自身维度的可持续性水平,也可以影响其他维度的指标及其可持续性水平,进而影响整个系统的可持续性。在系统发生重大变化的情况下,若干指标组会受到这些变化的影响。为了进一步使用该模型,有必要开发一种改进的评估模型指标的方法。为了确保更高效的模型性能和数据质量,需要考虑数据的安全性和完整性。模仿模型的创建需要获取、处理和发布大量数据,这些数据暴露在数据安全和完整性风险中,这不仅会对模型的功能产生负面影响,还会对系统本身产生负面影响。为了显著改进定义、选择、值分配,并更准确地识别接口元素的重要性和表达未来预测,作者建议评估机器学习在模仿建模中的使用。机器学习算法越来越多地被研究人员用于机械工程应用。
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Dynamic System Sustainability Simulation Modelling
INTRODUCTION Assessing the sustainability of dynamic, open and complex systems with many stakeholders, interrelated components and interactions and forecasting with traditional study methods is complicated and has its limitations. Therefore, often researchers, when forecasting the sustainability of a dynamic system, rely on subjective judgment without references to assessment standards. The aim of the paper is to create an imitation model for the sustainability of a dynamic system in order to assess and forecast the sustainability of the system under alternative development scenarios. It includes 3 main aspects - how sustainable is the dynamic system, what is the level of sustainability of a dynamic system under alternative development scenarios and what additions are needed to improve the functioning of the imitation model. The research question of the paper is: what imitation model can effectively  analyse and forecast a dynamic system in the case of the tourism object Cesis Palace. Sustainable development researchers offer to build on traditional principles and interlinked dimensions of sustainable development: environment, economic and social, and adapt them to the dynamic system, which is characterized by the interactions between components (Tanguay et.al., 2011; Mai, Smith, 2018). One type of study that helps explain such systems is simulation modelling, which is often used when researching the interaction of dynamic systems (Johnson, 2011). MATERIALS AND METHODS The Cesis Palace complex as a tourism site was used in the paper for an example of a dynamic system, since tourism is both a dynamic system with many interlinked components and equally important are the three dimensions of sustainability for its long-term development. During the study, multiple data acquisition methods were used: a structured interview, analysis of statistics, case study analysis and an expert interview on the created imitation model. To achieve the goal of the research, a model of a tourism sustainability imitation model was created using the STELLA dynamic system modelling environment. The model and the selection of indicators were based on the three key sustainability dimensions: economy, environment and society/culture. RESULTS The result of the work is a computer model that helps to assess the sustainability of a real-life system and its dimensions by entering data generated during the study. It concludes that the tourism object under consideration is potentially sustainable. Simulating alternative development scenarios, it can be concluded that the elements of one group of indicators can affect both the sustainability level of their own dimension, as well as the indicators of other dimensions and their sustainability level, as well the sustainability of the system overall. Significant changes in the system take place in a situation where a number of indicator groups are affected by the changes. DISCUSION AND CONCLUSIONS In order to use this model further, it would be necessary to develop an improved methodology for evaluating model indicators. To ensure a more efficient model performance and data quality, data security and integrity should be taken into account. Creation of an imitation model requires the acquisition, processing and issuing of large amounts of data that are exposed to data security and integrity risks, which may have a negative impact, not only on the functioning of the model, but also on the system itself. To significantly improve the definition, selection, value assignment, and to more accurately identify the importance of interfacing elements and to express future forecasts, the author proposes to evaluate the use of machine-learning in imitation modelling. Machine-learning algorithms are increasingly used by researchers in mechanical engineering applications.
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