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Segmenting Potential Nature-Based Tourists Based on Temporal Factors: The Case of Norway

机译：基于时间因素对潜在的自然旅游者进行细分：以挪威为例

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摘要

The opportunity to experience nature-based activities at a destination with climate variations is a major driver of visitation for tourists. Despite significant research into seasonality and nature-based activity preferences, academic researchers are not profiling activity-oriented tourists into segments based on temporal factors such as seasons. To address this research gap, an expert panel was first asked to classify activities collected in a large secondary Norwegian tourist questionnaire into seasons. Next, 8,962 potential nature-based tourists were segmented based on summer, winter, and year-round activity preferences. When seasonality was taken into account, four clusters were identified. A combined model where seasonality was not addressed yielded fewer segments, and differing variables indicating that segmentation researchers may benefit from considering a fifth segmentation factor, namely temporal, in future. Theoretical and practical implications from this research are outlined and opportunities for future research are provided.
机译：在气候变化的目的地体验基于自然的活动的机会是游客参观的主要动力。尽管对季节性和基于自然的活动偏好进行了大量研究，但学术研究人员并未根据季节等时空因素将面向活动的游客划分为多个部分。为了弥补这一研究空白，首先要求一个专家小组将挪威大型次要旅游问卷中收集的活动按季节分类。接下来，根据夏季，冬季和全年的活动偏好，细分了8,962位潜在的自然游客。考虑到季节性因素，确定了四个集群。一个没有解决季节性问题的组合模型会产生较少的细分，不同的变量表明细分研究人员将来可能会从考虑第五个细分因素（即时间因素）中受益。概述了这项研究的理论和实践意义，并提供了未来研究的机会。

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