加勒比群岛旅游业的增长是否受到限制?阿鲁巴案例研究

Sharona S. Jurgens, Eric Mijts, Anton van Rompaey
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引用次数: 0

摘要

大众旅游是加勒比地区经济增长的主要驱动力。这种经济增长模式的一个主要代价是,由于旅游活动和城市化进程的加剧,自然区域遭到破坏。阿鲁巴是该地区游客最密集的目的地之一,2019 年共有 110 万过夜游客。此外,该岛是加勒比海地区人口密度最大的岛屿之一,在这个昔日的农村岛国,城市化正在高速发展。因此,本研究旨在通过地理空间方法分析以及社会经济指标和统计数据之间的相关性分析,评估该岛有限土地资源的承载能力。首先,分析了过去和现在城市化的驱动因素和特征。其次,评估了社会经济指标与游客数量之间的相关性。第三,制定了两种未来情景,以评估最大承载能力。从 1986 年到 2020 年,阿鲁巴的建筑环境从约 29-60 平方公里增加到占全岛面积的三分之一。前几年的扩张以无序扩张为特征,后几年则转变为填充。此外,研究结果表明,所有社会经济指标都与旅游业密切正相关。最后,经计算,每年游客和居民人数的最大实际承载能力分别为 170 万和 15 万。我们得出的结论是,所提出的方法框架是可靠的,足以作为岛屿旅游业可持续发展的低预算决策工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Are there limits to growth of tourism on the Caribbean islands? Case-study Aruba
Mass tourism is a major driver of economic growth in the Caribbean. One major trade-off of this economic growth model is the loss of natural areas due to tourism activities and increasing urbanization. Aruba is one of the most tourist intense destinations within the region with a total of 1.1 million stay-over tourists in 2019. Moreover, this island has one of the largest population densities in the Caribbean and high-speed urbanization takes place in this formerly rural island state. Therefore, this study aims to assess the islands' carrying capacity in relation to its limited land resources by means of a geospatial methodological analysis coupled with a correlation analysis between socio-economic indicators and statistics. First, the past and present drivers and characteristics of urbanization are analyzed. Second, the correlation between socio-economic indicators and the number of tourists was assessed. Third, two future scenarios were developed to assess the maximum carrying capacity. From 1986 till 2020, Aruba's built environment increased from ~29–60 km2 and translates to one-third of the island. Expansion was characterized by sprawl in the earlier years and changed to infilling in the latter. Furthermore, the results indicate that all socio-economic indicators are strongly positive correlated to tourism. Lastly, the possible maximum physical carrying capacity for yearly visitors and number of inhabitants was calculated to be ~1.7 million and 150.000, respectively. We conclude that the proposed methodological framework is robust and adequate to serve as a low budget decision-making tool for sustainable tourism development on islands.
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