Visualization of Amsterdam Airbnb Business Performance using Customer Reviews

International Journal of Applied Sciences in Tourism and Events Pub Date : 2021-12-30 DOI:10.31940/ijaste.v5i2.142-152

I. Setiawan, Fitri Diani

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Abstract

This article focuses on Airbnb that was one of the most popular sharing models in Economics. This study investigates the Airbnb business performance using customer reviews to calculate the monthly occupancy rate and a yearly income of Airbnb hosts in Amsterdam between 2015 and 2019. This study uses modest and optimistic estimates for the review rate with 0.6 percent and 0.4 percent, respectively, and 3.9 for the average length of stay in Amsterdam. Findings reveal that the visitors increase from May to June, then again in September and October. The monthly occupancy rate of the super host has a higher occupancy rate rather than the regular host at every district. The yearly income of the super hosts in Centrum-West and Centrum-Oost was higher than in other districts, while annual income was most deficient in Gaasperdam - Driemond. In term of average occupancy and number of maximum people per accommodation, accommodations which accommodate more than eleven people have more occupancy rate than others. Customer reviews can be used to calculate the monthly occupancy rate and a yearly income of Airbnb hosts.

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使用客户评价可视化阿姆斯特丹Airbnb的业务表现

本文关注的是Airbnb，它是经济学中最受欢迎的共享模式之一。这项研究调查了Airbnb的业务表现，使用客户评价来计算2015年至2019年间阿姆斯特丹Airbnb房东的月入住率和年收入。这项研究对审查率使用了适度乐观的估计，分别为0.6%和0.4%，在阿姆斯特丹的平均停留时间为3.9。调查结果显示，游客从5月到6月增加，然后在9月和10月再次增加。在每个地区，超级主机的月入住率都比常规主机高。中部西部和中部奥斯特的超级宿主年收入高于其他地区，而加阿斯珀达姆-德里蒙德的年收入最为匮乏。就平均入住率和每个住宿的最大人数而言，容纳11人以上的住宿的入住率高于其他住宿。客户评价可用于计算Airbnb房东的月入住率和年收入。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Applied Sciences in Tourism and Events

自引率

0.00%

发文量

审稿时长

24 weeks