桑给巴尔多维旅游承载能力模型

Semboja Haji Hatibu
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引用次数: 0

摘要

桑给巴尔作为一个旅游目的地国家,旅游业增长强劲,旅游强度高,季节性强,必然会 受到与游客数量相关的巨大负面影响。因此,确定桑给巴尔岛的旅游承载能力是一个至关重要的国家政策问题,以确保在实现最佳旅游发展的同时不损害微妙的环境、经济和社会结构。本文开发并提出了多维旅游承载能力模型(MDTCC),用于评估和确定桑给巴尔岛的旅游承载能力。本文认为,旅游承载能力(TCC)是一个国家政策目标变量,是经济、生态或自然、社会、文化、遗产和政治这六个相互依存的维度和子系统变量的复杂函数。反过来,这些独立的子系统又被定义为其他内生、外生因素、参数和一系列预结果的复杂函数。MDTCC 是根据数学规则确定的,因为有七种关系;由作为政策目标变量的七个内生变量确定。建议使用经验 MDTCC 模型来研究政策目标变量在其他内生、外生因素和参数变化时的表现或行为。在该框架中采用的 MDTCC 定量程序是以数学上有效的程序和技术为基础的,这些程序和技术与完整的事前和事后评估监测过程相关,贯穿从规划阶段到报告数据和政策分析结果的所有阶段或阶段。
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The Multidimensional Tourism Carrying Capacity Model for Zanzibar
Zanzibar as a tourist destination nation is experiencing strong tourism growth, with high tourism intensity and with high seasonality is bound to be subject to considerable negative effects related to the amount of tourists visiting their area. Therefore, determining the tourism carrying capacity of Zanzibar is thus vital national policy issue to ensure a balance between achieving optimal tourism development without compromising the delicate environmental, economic and social structure. The paper develops and proposes the Multidimensional Tourism Carrying Capacity Model, (MDTCC) to be used assess and establish the tourism carrying capacity of Zanzibar. The paper considers the tourism carrying capacity (TCC), as a national policy target variable and complex function of six interdependent dimensional and subsystems variables, namely, Economy, Ecology or Nature, Social, Culture, Heritage, and Political. In turn, these independent subsystems are defined as complex functions of other endogenous, exogenous factors, parameters, and series of pre-outcomes. The MDTCC is determined according to mathematical rules as there are seven relations; to be determined by the seven endogenous variables as policy target variables. The empirical MDTCC Model is proposed to be used to investigate performances or behaviour of policy target variables given variations of other endogenous, exogenous factors and parameters. The quantitative MDTCC procedures to be adopted in the framework to evaluate each component are based on mathematically valid procedures and techniques associated to the complete ex-ante and ex-post evaluation monitoring processes, through all stages or phases; from the planning stages to reporting of results from the data and policy analysis.
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