PETŘÍČEK, Martin and Štěpán CHALUPA. Sharing Economy in the Accommodation Services – Example of Prague During the Years 2017–2022. Online. In doc. Ing. Pavla Vrabcová, Ph.D. Proceedings of the 16th International Conference Liberec Economic Forum 2023. Technical University of Liberec, 2023, p. 441-448. Available from: https://dx.doi.org/10.15240/tul/009/lef-2023-48.
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Basic information
Original name Sharing Economy in the Accommodation Services – Example of Prague During the Years 2017–2022
Authors PETŘÍČEK, Martin and Štěpán CHALUPA.
Edition Proceedings of the 16th International Conference Liberec Economic Forum 2023, p. 441-448, 8 pp. 2023.
Publisher Technical University of Liberec
Other information
Original language English
Type of outcome Proceedings paper
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
Organization unit University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.
Doi http://dx.doi.org/10.15240/tul/009/lef-2023-48
Keywords in English Sharing economy, accommodation service, covid-19
Tags International impact, Reviewed
Changed by Changed by: doc. Ing. Martin Petříček, Ph.D., učo 14750. Changed: 27/10/2023 14:15.
Abstract
The submitted contribution focuses on the issue of the shared economy in Prague in the period from 2017 to 2022. The main goal is to estimate the daily values of realized offers within the framework of the shared economy and to make a comparison with the traditional accommodation market. The presented analysis of the sharing economy market works with data that are modified by the authors of the contribution so that the desired comparison can be made. These data are based on the number of written user reviews (using Airdna, Airbnb, Insiderairbnb and other sources). Output from this analysis is then converted using an algorithm into the number of realized offers on a daily basis. For the market working with traditional accommodation, data from STR Global was used, which represents the market for accommodation services in Prague based on daily data. The work with daily data is one of the key uniqueness of this contribution, as common studies work only with average data, usually over a longer period of time (a month or a quarter). However, such data are inappropriate for the market of accommodation services. Based on the estimates and analyses, it appears that during the period of the covid-19 pandemic, shared accommodation has become more used than traditional accommodation. This conclusion can be attributed to the situation where many tourists preferred private accommodation over regular accommodation facilities.
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