Holiday Rentals in Cultural Tourism Destinations: A Comparison of Booking.com-Based Daily Rate Estimation for Seville and Porto
Multiple variables determine holiday rentals’ price composition in cultural tourism destinations. This study sought, first, to test a model including the variables with the greatest impact on tourism accommodations’ prices in these destinations and, second, to demonstrate the proposed model’s applic...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Economies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7099/9/4/157 |
| _version_ | 1797505348782784512 |
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| author | Miguel Ángel Solano-Sánchez José António C. Santos Margarida Custódio Santos Manuel Ángel Fernández-Gámez |
| author_facet | Miguel Ángel Solano-Sánchez José António C. Santos Margarida Custódio Santos Manuel Ángel Fernández-Gámez |
| author_sort | Miguel Ángel Solano-Sánchez |
| collection | DOAJ |
| description | Multiple variables determine holiday rentals’ price composition in cultural tourism destinations. This study sought, first, to test a model including the variables with the greatest impact on tourism accommodations’ prices in these destinations and, second, to demonstrate the proposed model’s applicability to cultural city destinations by identifying the adaptations needed to apply it to different contexts. Two cities were selected for the model application—Seville in Spain and Porto in Portugal—both of which are located in different countries and are well-known cultural tourism destinations. The data were extracted from Booking.com because this accommodations platform has adapted its offer to the sharing economy, becoming one of the most important players in the market, and because research on holiday rentals using data from Booking.com is scarce. The results show that the variables used are relevant and highlight the adaptations necessary for specific cultural tourism destinations, thereby indicating that the model can be applied to all cultural tourism destinations. The proposed approach can help holiday rental managers select the correct tools for determining their accommodation units’ daily rates according to their product and marketing context’s characteristics. |
| first_indexed | 2024-03-10T04:17:22Z |
| format | Article |
| id | doaj.art-d5a02bbdf03c4f33a8b86f48700cbee1 |
| institution | Directory Open Access Journal |
| issn | 2227-7099 |
| language | English |
| last_indexed | 2024-03-10T04:17:22Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Economies |
| spelling | doaj.art-d5a02bbdf03c4f33a8b86f48700cbee12023-11-23T07:58:44ZengMDPI AGEconomies2227-70992021-10-019415710.3390/economies9040157Holiday Rentals in Cultural Tourism Destinations: A Comparison of Booking.com-Based Daily Rate Estimation for Seville and PortoMiguel Ángel Solano-Sánchez0José António C. Santos1Margarida Custódio Santos2Manuel Ángel Fernández-Gámez3Faculty of Business Law and Economic Sciences, University of Cordoba, 14002 Cordoba, SpainSchool of Management, Hospitality and Tourism (ESGHT) and Centre for Tourism, Sustainability and Well-Being (CinTurs), University of the Algarve, 8139 Faro, PortugalSchool of Management, Hospitality and Tourism (ESGHT) and Centre for Tourism, Sustainability and Well-Being (CinTurs), University of the Algarve, 8139 Faro, PortugalDepartment of Finance and Accounting, University of Malaga, 29016 Malaga, SpainMultiple variables determine holiday rentals’ price composition in cultural tourism destinations. This study sought, first, to test a model including the variables with the greatest impact on tourism accommodations’ prices in these destinations and, second, to demonstrate the proposed model’s applicability to cultural city destinations by identifying the adaptations needed to apply it to different contexts. Two cities were selected for the model application—Seville in Spain and Porto in Portugal—both of which are located in different countries and are well-known cultural tourism destinations. The data were extracted from Booking.com because this accommodations platform has adapted its offer to the sharing economy, becoming one of the most important players in the market, and because research on holiday rentals using data from Booking.com is scarce. The results show that the variables used are relevant and highlight the adaptations necessary for specific cultural tourism destinations, thereby indicating that the model can be applied to all cultural tourism destinations. The proposed approach can help holiday rental managers select the correct tools for determining their accommodation units’ daily rates according to their product and marketing context’s characteristics.https://www.mdpi.com/2227-7099/9/4/157daily rate pricingholiday rentalshedonic pricing methodBooking.comsharing economy |
| spellingShingle | Miguel Ángel Solano-Sánchez José António C. Santos Margarida Custódio Santos Manuel Ángel Fernández-Gámez Holiday Rentals in Cultural Tourism Destinations: A Comparison of Booking.com-Based Daily Rate Estimation for Seville and Porto Economies daily rate pricing holiday rentals hedonic pricing method Booking.com sharing economy |
| title | Holiday Rentals in Cultural Tourism Destinations: A Comparison of Booking.com-Based Daily Rate Estimation for Seville and Porto |
| title_full | Holiday Rentals in Cultural Tourism Destinations: A Comparison of Booking.com-Based Daily Rate Estimation for Seville and Porto |
| title_fullStr | Holiday Rentals in Cultural Tourism Destinations: A Comparison of Booking.com-Based Daily Rate Estimation for Seville and Porto |
| title_full_unstemmed | Holiday Rentals in Cultural Tourism Destinations: A Comparison of Booking.com-Based Daily Rate Estimation for Seville and Porto |
| title_short | Holiday Rentals in Cultural Tourism Destinations: A Comparison of Booking.com-Based Daily Rate Estimation for Seville and Porto |
| title_sort | holiday rentals in cultural tourism destinations a comparison of booking com based daily rate estimation for seville and porto |
| topic | daily rate pricing holiday rentals hedonic pricing method Booking.com sharing economy |
| url | https://www.mdpi.com/2227-7099/9/4/157 |
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