Kourtit Karima, Nijkamp Peter, Östh John, Turk Umut
Open University, Heerlen, the Netherlands, Smedestraat 2, 6411, CR Heerlen.
Uppsala University, Upsala, Sweden.
Tour Manag. 2022 Dec;93:104569. doi: 10.1016/j.tourman.2022.104569. Epub 2022 May 30.
This study examines the COVID-19 vulnerability and subsequent market dynamics in the volatile hospitality market worldwide, by focusing in particular on individual Airbnb bookings-data for six world-cities in various continents over the period January 2020-August 2021. This research was done by: (i) looking into factual survival rates of Airbnb accommodations in the period concerned; (ii) examining place-based impacts of intra-city location on the economic performance of Airbnb facilities; (iii) estimating the price responses to the pandemic by means of a hedonic price model. In our statistical analyses based on large volumes of time- and space-varying data, multilevel logistic regression models are used to trace 'corona survivability footprints' and to estimate a hedonic price-elasticity-of-demand model. The results reveal hardships for the Airbnb market as a whole as well as a high volatility in prices in most cities. Our study highlights the vulnerability and 'corona echo-effects' on Airbnb markets for specific accommodation segments in several large cities in the world. It adds to the tourism literature by testing the geographic distributional impacts of the corona pandemic on customers' choices regarding type and intra-urban location of Airbnb accommodations.
本研究通过特别关注2020年1月至2021年8月期间各大洲六个世界城市的爱彼迎（Airbnb）个人预订数据，考察了全球动荡的酒店市场中新冠疫情的脆弱性及随后的市场动态。本研究通过以下方式进行：（i）调查相关时期内爱彼迎住宿的实际存活率；（ii）研究城市内部位置对爱彼迎设施经济表现的地域影响；（iii）通过享乐价格模型估计对疫情的价格反应。在基于大量随时间和空间变化的数据进行的统计分析中，使用多层逻辑回归模型来追踪“新冠疫情存活足迹”并估计享乐需求价格弹性模型。结果显示，爱彼迎市场整体面临困境，且大多数城市的价格波动剧烈。我们的研究突出了新冠疫情对世界上几个大城市特定住宿细分市场的爱彼迎市场的脆弱性和“疫情回声效应”。通过检验新冠疫情对客户在爱彼迎住宿类型和城市内部位置选择的地理分布影响，本研究丰富了旅游文献。
