دورية أكاديمية

A Spatial Regression Model for Predicting Prices of Short-Term Rentals in Athens, Greece.

التفاصيل البيبلوغرافية
العنوان: A Spatial Regression Model for Predicting Prices of Short-Term Rentals in Athens, Greece.
المؤلفون: Iliopoulou, Polixeni, Krassanakis, Vassilios, Misthos, Loukas-Moysis, Theodoridi, Christina
المصدر: ISPRS International Journal of Geo-Information; Mar2024, Vol. 13 Issue 3, p63, 19p
مصطلحات موضوعية: PRICES, REGRESSION analysis, NEIGHBORHOOD characteristics, RENTAL housing, SPATIAL variation
مصطلحات جغرافية: ATHENS (Greece)
الشركة/الكيان: AIRBNB Inc.
مستخلص: Short-term house rentals constitute a growing component of tourist accommodation in several countries and the determination of factors affecting rents is an important consideration in relevant studies. Short-term rentals have shown increasing trends in the city of Athens, Greece; however, this activity has not been adequately studied. In this paper, spatial data of Airbnb rentals in Athens are analyzed in order to indicate the factors which are important for the spatial variation of rents. Factors such as property capacity, host attributes and review characteristics are considered. In addition, several locational attributes are examined. Regression analysis techniques are used to predict the cost per night, according to various explanatory factors, while the results of two models are presented: ordinary least squares (OLS) and geographically weighted regression (GWR). The results of the OLS model indicate several factors determining the rent, including capacity and host characteristics, as well as locational attributes. The GWR model produces more accurate results with a smaller number of independent variables. For the residuals analysis several additional amenities were examined that resulted in a small impact on rents. The unexplained spatial variation of rents may be attributed to neighborhood characteristics, socioeconomic conditions and special characteristics of the rentals. [ABSTRACT FROM AUTHOR]
Copyright of ISPRS International Journal of Geo-Information is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index
الوصف
تدمد:22209964
DOI:10.3390/ijgi13030063