非高峰季节游客对海滩质量改善的感知:一种细分方法

IF 2.6 Q2 HOSPITALITY, LEISURE, SPORT & TOURISM
Goda Lukoseviciute, L. N. Pereira
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引用次数: 2

摘要

近年来,沿海旅游业迅猛发展,但对环境、社会和文化的可持续性产生了负面影响。阿尔加维是葡萄牙旅游最多的地方,有许多美丽的海滩。由于旅游业的负面影响和气候变化,需要评估和实施沿海旅游管理工具。大多数海滩地区都有保护自然资源和提供娱乐和旅游机会的双重任务。本文旨在确定非旺季海滩用户档案,并根据他们在气候变化和季节性平衡的情况下可持续海滩管理的优先事项对其进行细分。选择阿尔布费拉市的城市、乡村、度假胜地和偏远海滩类型作为案例研究。对通过200次面对面访谈收集的调查数据进行了聚类分析。该调查旨在了解海滩游客对海滩环境、服务和质量属性重要性的看法。聚类分析得出了四个海滩用户档案:被动的自然爱好者、资深消费者、局外人和年轻活跃的环保主义者。研究结果为学者和海滩管理者提供了有价值的信息和见解,他们可以根据集群市场及其偏好调整管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tourists' perceptions of beach quality improvement during the off-peak season: a segmentation approach
Recently coastal tourism has increased dashingly, however, it has negatively affected environmental, social and cultural sustainability. Algarve is the most touristic place in Portugal with a large number of beautiful beaches. Due to negative tourism impacts and climate change, coastal tourism management tools need to be assessed and implemented. Most beach areas have the dual mandate of conserving natural resources as well as providing opportunities for recreation and tourism. This paper aims identify off-peak season beach user profiles and segment them according to their priorities for sustainable beach management in the face of climate change and seasonality balance. An urban, rural, resort and remote beach types were chosen at Albufeira municipality as case studies. A cluster analysis was applied to survey data collected through 200 face-to-face interviews. The survey aimed to get beach visitor’s opinion of beach environment, services and quality attributes´ importance. Cluster analyses have resulted in four beach user profiles: passive nature-lovers, senior consumerists, outliers and young and active environmentalists. The results provide valuable information and insights both for academics and for beach managers, who can adjust management according to the clustered markets and their preferences.
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来源期刊
Tourism & Management Studies
Tourism & Management Studies HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
3.70
自引率
13.60%
发文量
16
审稿时长
24 weeks
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