Analysis of Airbnb User Rating Factors—Taking Beijing as an Example
DOI: 10.23977/infse.2023.040819 | Downloads: 8 | Views: 319
Author(s)
Jiaqi Zhang 1
Affiliation(s)
1 Shanghai Shinan High School, Shanghai, 200011, China
Corresponding Author
Jiaqi ZhangABSTRACT
With the rapid development of the sharing economy, shared accommodation has become a choice for more and more people to travel. As a representative of the shared bed and breakfast platform, Airbnb provides information on shared Bed and Breakfast (B&B) in various cities worldwide. This paper collected information from Airbnb operations in Beijing, where the development of the shared accommodation industry is more mature. It analyzed it regarding price, location evaluation and other influential factors. The results show that unbalanced regional distribution of listings, variability in price changes, and customer comments impact the sales of shared listings. Based on the study's results, this paper proposes the need for correct guidance and strengthening macro-control. In addition, there is a need to pay attention to customer reviews. This paper's findings help identify the attributes consumers pay more attention to when choosing a B&B and provide good guidance for operators to enhance improved services.
KEYWORDS
Airbnb, Shared B&B, Area, Prices, ReviewsCITE THIS PAPER
Jiaqi Zhang, Analysis of Airbnb User Rating Factors—Taking Beijing as an Example. Information Systems and Economics (2023) Vol. 4: 135-144. DOI: http://dx.doi.org/10.23977/infse.2023.040819.
REFERENCES
[1] Zhao, C. Y. Analysis of Influencing Factors and Spatial Pattern Variability of shared B&B sales in Beijing [D]. Northeast University of Finance and Economics. (2022).
[2] Mu, X. Y. Research on Influencing Factors and Prediction Models of Online Short-Term Room Prices [D]. Hubei University of Technology, (2021).
[3] Zeng, Q. J. (2022) Research on Tourists' Shared Accommodation Consumption Behavior Based on Airbnb Platform [J]. Journal of Jiamusi University (Natural Science Edition), 40(05), 160-163.
[4] Yu, H. Analysis of Sharing Economy Business Model in the Context of Tourism [D]. Xiamen University, (2017).
[5] Xue, H. Research on the Influence Mechanism of Merchant Response on Consumer Review Behavior of Shared Accommodation Platform [D]. Chongqing University of Commerce and Industry, (2022).
[6] Li X. M. How Does User Experience Affect the Transaction Volume of The Shared Accommodation Platform? [D]. Northeast University of Finance and Economics, (2020).
[7] Tuntipong, S. A Study on The Influencing Factors of Customer and Host Experience Based on Airbnb Online Review Data [D]. Southwest University of Finance and Economics, (2021).
[8] Li, P. Research on Spatial Distribution Characteristics and Influencing Factors of Shared Accommodation in The Main City of Chongqing [D]. Chongqing Jiaotong University, (2021).
[9] Ding, F. G. Research on Developing Online Tourism Short-Term Rental Market in Beijing [D]. Guangxi Normal University, (2020).
[10] Xuan, Y. Research on the Characteristics of Shared Accommodation Spatial Patterns and Influencing Factors Based on Network Data Mining [D]. Nanjing Normal University, (2020).
[11] Li, C. Y. Shared Accommodation research on Spatial Model and Quantile Regression Model—Analysis of Influencing Factors of Consumption Behavior Based on AirBnb. Dongbei University of Finance and Economics, (2019).
Downloads: | 7189 |
---|---|
Visits: | 143393 |
Sponsors, Associates, and Links
-
Accounting, Auditing and Finance
-
Industrial Engineering and Innovation Management
-
Tourism Management and Technology Economy
-
Journal of Computational and Financial Econometrics
-
Financial Engineering and Risk Management
-
Accounting and Corporate Management
-
Social Security and Administration Management
-
Population, Resources & Environmental Economics
-
Statistics & Quantitative Economics
-
Agricultural & Forestry Economics and Management
-
Social Medicine and Health Management
-
Land Resource Management
-
Information, Library and Archival Science
-
Journal of Human Resource Development
-
Manufacturing and Service Operations Management
-
Operational Research and Cybernetics