Proposing a wellness-based tourism pattern using structural equation modelling approach

Today, wellness tourism has become a thriving industry. In wellness tourism, tourists travel to relieve the pressures of ordinary life and become refreshed with no medicinal intervention. In wellness tourism, tourists seldom have any exact physical illness, rather they are interested in enjoying the curative nature of regions. This study was an attempt to investigate different dimensions of wellness and identify the factors affecting wellness tourism using a non-experimental study in which a structural equation model was applied to examine the data. The statistical population included 237,415 tourists who visited the tourist attractions of Sarab County in Iran. The sample size was determined 384 subjects. The results revealed that the destination location in terms of climate, positive image of the region, excellent food, as well as physical, traditional, and historical appeals of the region, were the factors that had the highest influence on determining the destination of wellness tourism. In general, this study contributes to the development of wellness tourism in the world, including Iran. In this study, practical steps have been taken based on the strategies and approaches presented to reduce stress and enhance well-being during the outbreak of COVID-19.The data is gathered from tourists in Sarab County.

如今，康养旅游（Wellness Tourism）已成为蓬勃发展的产业。在康养旅游场景中，游客出行旨在缓解日常生活压力，无需医疗干预即可实现身心焕新。此类旅游的参与者通常并无明确躯体疾病，反而更倾向于体验目的地的自然疗愈属性。
本研究采用非实验研究范式，借助结构方程模型（Structural Equation Model）对数据进行分析，旨在探究康养的不同维度，并明确影响康养旅游选择的各类因素。研究的统计总体为伊朗萨拉布县（Sarab County）各旅游景点的237415名游客，最终确定样本量为384名受访者。
研究结果显示，目的地的气候条件、区域正向形象、优质餐饮，以及该地区的自然、传统与历史吸引力，是影响康养旅游目的地选择的最核心因素。
总体而言，本研究可为全球范围内的康养旅游产业发展（包括伊朗本地）提供助力。本研究基于新冠疫情（COVID-19）暴发期间提出的减压与提升幸福感策略，提出了可落地的实践路径。本研究的数据均采集自萨拉布县的游客群体。

搜集汇总

背景与挑战

背景概述

该数据集基于一项研究，旨在通过结构方程模型探讨健康旅游模式，重点关注影响目的地选择的因素。研究数据来自伊朗萨拉布县的384名游客，发现气候、地区形象、美食以及物理、传统和历史吸引力是关键影响因素。这项研究有助于全球健康旅游发展，并在COVID-19期间提供了减少压力、提升福祉的策略。