Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com

This research aims to identify price determinants for sharing economy-based accommodation services and to further use the identified price determinants to predict accommodation prices. A dataset drawn from Airbnb.com, was collected for analysis. We identify price determinants from five categories. T...

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Main Authors: Chunwei Chang, Shengli Li
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Journal of Theoretical and Applied Electronic Commerce Research
Subjects:
Online Access:https://www.mdpi.com/0718-1876/16/4/35
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author Chunwei Chang
Shengli Li
author_facet Chunwei Chang
Shengli Li
author_sort Chunwei Chang
collection DOAJ
description This research aims to identify price determinants for sharing economy-based accommodation services and to further use the identified price determinants to predict accommodation prices. A dataset drawn from Airbnb.com, was collected for analysis. We identify price determinants from five categories. The top five price determinants are identified as room type, city, distance to tourist attractions, number of pictures posted, and number of amenities provided. More importantly, we find that interaction effects between variables can also significantly influence price. Finally, a series of price prediction models are built based on the identified price determinants.
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spelling doaj.art-ca9d61de1c714ee8979530cda38df9732023-11-22T11:27:49ZengMDPI AGJournal of Theoretical and Applied Electronic Commerce Research0718-18762020-12-0116458460110.3390/jtaer16040035Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.comChunwei Chang0Shengli Li1Yuanpei College, Peking Univeristy, Beijing 100871, ChinaDepartment of Information Management, Peking University, Beijing 100871, ChinaThis research aims to identify price determinants for sharing economy-based accommodation services and to further use the identified price determinants to predict accommodation prices. A dataset drawn from Airbnb.com, was collected for analysis. We identify price determinants from five categories. The top five price determinants are identified as room type, city, distance to tourist attractions, number of pictures posted, and number of amenities provided. More importantly, we find that interaction effects between variables can also significantly influence price. Finally, a series of price prediction models are built based on the identified price determinants.https://www.mdpi.com/0718-1876/16/4/35sharing economyprice determinantsAirbnb.cominteraction effectsprice prediction
spellingShingle Chunwei Chang
Shengli Li
Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com
Journal of Theoretical and Applied Electronic Commerce Research
sharing economy
price determinants
Airbnb.com
interaction effects
price prediction
title Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com
title_full Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com
title_fullStr Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com
title_full_unstemmed Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com
title_short Study of Price Determinants of Sharing Economy-Based Accommodation Services: Evidence from Airbnb.com
title_sort study of price determinants of sharing economy based accommodation services evidence from airbnb com
topic sharing economy
price determinants
Airbnb.com
interaction effects
price prediction
url https://www.mdpi.com/0718-1876/16/4/35
work_keys_str_mv AT chunweichang studyofpricedeterminantsofsharingeconomybasedaccommodationservicesevidencefromairbnbcom
AT shenglili studyofpricedeterminantsofsharingeconomybasedaccommodationservicesevidencefromairbnbcom