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Modeling and prediction of future ecotourism conditions applying system dynamics

机译:利用系统动力学对未来生态旅游条件进行建模和预测

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摘要

The ecotourism industry is one of the largest industries and has an important role in the economic social and cultural development of societies, especially in developing countries. Policymaking and planning procedures in this industry require the application of the methods that can appropriately model mutual and complex interactions and contacts. System dynamics is an accurate modeling method to simulate complex systems in a structured way and to design more effective policies by using these complex systems. In this study, the interactions and dynamics of the main components of ecotourism (effective variables) in the Taleghan area are modeled using system dynamics. To formulate and model simulations in the period between 2005 and 2015 was considered, and then extending the period of investigation, the model simulation was performed till the year 2025. Among the most important results of this study is the effect of the environment on the demand for ecotourism. Environmental degradation and the degradation of the quality of the environment lead to a reduced demand for ecotourism. This study predicts the future of ecotourism by this dynamic and designs a group of policies for the sustainable and comprehensive development of ecotourism on the basis of the behavior of the model variables in order to prevent the degradation of environment and simultaneously ensure that ecotourism demand is not negatively affected. Finally, the best policy depending construction to the state of the area environment was selected among them.
机译:生态旅游业是最大的产业之一,在社会的经济社会和文化发展中,特别是在发展中国家,具有重要作用。该行业中的决策和计划程序要求应用能够正确建模相互和复杂的交互作用和联系的方法。系统动力学是一种精确的建模方法,可以以结构化的方式模拟复杂的系统,并通过使用这些复杂的系统来设计更有效的策略。在这项研究中,塔格勒汗地区生态旅游的主要组成部分(有效变量)的相互作用和动力学是使用系统动力学建模的。为了考虑并在2005年至2015年期间进行模型模拟,然后将调查期延长至2025年,进行了模型模拟。这项研究最重要的结果是环境对需求的影响生态旅游。环境退化和环境质量下降导致对生态旅游的需求减少。这项研究通过这种动态预测了生态旅游的未来,并基于模型变量的行为设计了一组可持续和全面发展生态旅游的政策,以防止环境退化并同时确保生态旅游需求不会负面影响。最后,从中选择了取决于区域环境状况的最佳策略。

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