探索伦敦Airbnb租赁的可持续性:使用人工智能算法对可持续性关键字的数据驱动分析

Asif Malik, Mohammed Hassouna, Madeleine Togher
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引用次数: 1

摘要

本文调查了伦敦Airbnb房源与可持续实践之间的联系,为定价模式和可持续特征提供了见解。它强调了可持续性特征与它们的采用之间的相关性,表明具有这些特征的上市往往具有更高的价格,因此具有市场优势。这鼓励业主将可持续性纳入其中,并在不同的行政区显示出不同程度的可持续性意识或优先级。这些发现有助于我们对共享经济和可持续旅游的理解,并为政策和行业实践提供信息。政策制定者可以利用这些证据来促进可持续旅游,利益相关者可以更好地了解Airbnb租金、定价和可持续性之间的动态关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring Sustainability in London Airbnb Rentals: A Data-Driven Analysis of Sustainability Keywords Using AI Algorithms
This paper investigates the link between Airbnb listings in London and sustainable practices, offering insights into pricing patterns and sustainable features. It highlights the correlation between sustainability features and their adoption, suggesting a market advantage as listings with these features tend to have higher prices. This encourages hosts to incorporate sustainability and shows different levels of awareness or prioritization of sustainability in various boroughs. These findings contribute to our understanding of the sharing economy and sustainable tourism and can inform policy and industry practices. Policymakers can use this evidence to promote sustainable tourism, and stakeholders can better understand the dynamics between Airbnb rentals, pricing, and sustainability.
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