2022
DOI: 10.1177/13548166211040931
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Clustering and hotel room prices in Dubai

Abstract: In this article, we study the influence of the room properties, hotel amenities, hotel location, and, more importantly, the characteristics of hotels in the surrounding area on the prices of hotel rooms. The effects of different determinants are estimated using the hedonic price model for a cross-section of 250 hotels in Dubai. In addition to the typical characteristics of hotels and hotel rooms such as hotel amenities, star rating, and room size, we include location-specific characteristics such as accessibil… Show more

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Cited by 7 publications
(11 citation statements)
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“…type of accommodation, star ratings, rooms and their size, pool, outdoor sports) to amenities (such as parking, Wi-Fi) (e.g. Arzaghi et al 2023;Mitsis, 2023;Fearne, 2022;Somphong et al, 2022) and host attributes when examining sharing economy accommodation. Wang and Nicolau (2017) examined 25 Airbnb price determinants classified into five categories (host characteristics, site and property attributes, amenities and services, rental rules, and online reviews) to understand how they relate to the price.…”
Section: Research On Price Determinantsmentioning
confidence: 99%
“…type of accommodation, star ratings, rooms and their size, pool, outdoor sports) to amenities (such as parking, Wi-Fi) (e.g. Arzaghi et al 2023;Mitsis, 2023;Fearne, 2022;Somphong et al, 2022) and host attributes when examining sharing economy accommodation. Wang and Nicolau (2017) examined 25 Airbnb price determinants classified into five categories (host characteristics, site and property attributes, amenities and services, rental rules, and online reviews) to understand how they relate to the price.…”
Section: Research On Price Determinantsmentioning
confidence: 99%
“…Alternatively, a number of studies consider hotel rooms within the framework of hedonic models (see Ref. [ 22 ] and references therein). These models center around the existence of certain features at a hotel to determine its value to potential customers.…”
Section: Datamentioning
confidence: 99%
“…These variables capture the number of hotels in the immediate vicinity of the hotel and their average quality. The first variable captures local competition [ 22 , 63 , 64 ]. The number of hotels within 250 m indicates the severity of local competition.…”
Section: Datamentioning
confidence: 99%
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