Destination image analytics for tourism design: An approach through Airbnb reviews
Destination image analytics for tourism design: An approach through Airbnb reviews
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DOI：
10.1016/j.annals.2020.103100
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发表时间：
2021
影响因子：
13.2
通讯作者：
L. Lalicic;E. Marine-Roig;Berta Ferrer-Rosell;Eva Martín-Fuentes
中科院分区：
文献类型：
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作者：
L. Lalicic;E. Marine-Roig;Berta Ferrer-Rosell;Eva Martín-Fuentes
这项研究涵盖目的地形象分析、设计思维和点对点住宿服务。本文旨在通过与点对点住宿行业的当代趋势相结合，支持营销人员重新思考设计目的地体验和营销策略的方式，并帮助将其整合到目的地营销系统中。因此，我们开发了一个整体流程来揭示目的地形象是如何构建的，该流程对来自四个西班牙城市目的地的近一百万条 Airbnb 评论在时间基础上（连续两个时期）应用成分数据分析。图像的指定方面区分目的地，并观察时间图像趋势。这些见解使营销人员能够重新制定和设计符合当代游客需求和体验的营销和体验策略。
This study embraces destination image analytics, design thinking and peer-to-peer accommodation services. The paper aims to support marketers in rethinking the way they design destination experiences and marketing strategies by synergising with contemporary trends in the peer-to-peer accommodation sector and help integrate them into destination marketing systems. Thus, a holistic process is developed to reveal how destination image is constructed that applies compositional data analysis on almost one million Airbnb reviews from four Spanish urban destinations on a temporal basis (two consecutive periods). The designative aspect of image distinguishes the destinations, and temporal image trends are observed. These insights allow marketers to re-formulate and design marketing and experience strategies that align with the needs and experiences of contemporary tourists.