Examining the determinants of room rates for hotels in capital cities: The Oslo experience

Thrane, Christer

doi:10.1057/palgrave.rpm.5160055

Cited by 141 publications

(162 citation statements)

References 19 publications

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“…It seems that the older Airbnb listings tend to charge more partly because the lodging places that have been listed through Airbnb with a longer period are more experienced, and those hosts are aware of why their guests are more likely to trust previous experiences in terms of safety and service quality. In Figure 5a, significant negative correlations between number of reviews and price exist primarily in west Metro Nashville (districts 18,[20][21][22][23][24][25]34). The negative correlations indicate that the more reviews the listing has, the lower the price, which is inconsistent with previous studies [11].…”

Section: Gwr Estimationmentioning

confidence: 73%

“…Serval important factors affecting the hotel room price have been identified such as location [6,7], hotel category [32,33], customer ratings [34,35], hotel amenities and services [36,37], market accessibility [38], and proximity of competitors [33]. Previous empirical studies often employed a global regression model, considering only the relationship between hotel room price and explanatory variables on a global level.…”

Section: Determinants Effects Detailsmentioning

confidence: 99%

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Key Factors Affecting the Price of Airbnb Listings: A Geographically Weighted Approach

et al. 2017

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Airbnb has been increasingly gaining popularity since 2008 due to its low prices and direct interactions with the local community. This paper employed a general linear model (GLM) and a geographically weighted regression (GWR) model to identify the key factors affecting Airbnb listing prices using data sets of 794 samples of Airbnb listings of business units in Metro Nashville, Tennessee. The results showed that the GWR model performs better than the GLM in terms of accuracy and affected variable selections. Statistically significant differences varied across regions in Metro Nashville. The coefficients illustrate a decreasing trend while there is an increase in the distance from the listed units to the convention center, which indicates that Airbnb listing prices are more sensitive to the distance from the convention center in the central area than in other areas. These findings can also provide implications for stakeholders such as Airbnb hosts to gain a better understanding of the market situation and formulate a suitable pricing strategy.

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Section: Gwr Estimationmentioning

confidence: 73%

Section: Determinants Effects Detailsmentioning

confidence: 99%

Key Factors Affecting the Price of Airbnb Listings: A Geographically Weighted Approach

et al. 2017

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“…The precise components of these two categories vary depending on the study. The location attribute applies to the differences between cities ] and distance from the center [e.g., Israeli 2002;Thrane 2007]. Size, category, brand, quality of service, age, and other selected factors were mentioned within the essential components of the hotel [Israeli 2002;Lockyer 2005b;Thrane 2007;Hung, Shang & Wang 2010;].…”

Section: Discussionmentioning

confidence: 99%

Role of e-WOM in hospitality market pricing

Kościółek

2017

JEM

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Aim/purpose -Online assessments are one of the main factors determining a customer's choice of accommodation. This article examines their relationship to prices in the low and high season in Cracow's hospitality market. The question of which attributes in hotel ratings explain the change in price levels was investigated.Design/methodology/approach -The inference was based on ratings and hotel room offers published on the Booking.com platform. Data were collected and estimated for the representative number of 97 hotels in Cracow. Regression analysis was then used to estimate the model.Findings -The results of the analysis showed that price levels for the high and low seasons are correlated with ratings for comfort and location. It is more precise to use these variables as an explanation for prices in the high season. Guests' perceptions of comfort and location are combined with other hotel features.Research implications/limitations -The study showed which of the hotel parameters should be enhanced when rationally increasing price levels. The limitations of the study are that it covered only one Polish city, collected data from a single website, and omitted other variables to explain the prices of hotel rooms.Originality/value/contribution -This is one of the first papers to examine the correlation between electronic consumer ratings and price levels in the Polish hospitality market and one of few investigations based on the role of e-WOM for the pricing of all objects in the sector, not just for a specific category of hotels.

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“…Generalization at the regional scale might allow an assessment to reflect the real usage well, whilst at the scale of the city, where the population density varies [45], the assessment can be strongly biased and the RES will be unevenly distributed in space. It can assumed that analogically to hotel prices (the closer to the city centre, the more expensive) the urban-rural gradient will also be revealed in RES provisioning of cities green infrastructure [46][47][48][49][50][51]. While the benefits derived from potential ES resources of green infrastructure -such as CO2 and noise reduction or a positive influence on microclimate affect all the citizens in the neighbourhood, benefits associated with recreation or choice of aesthetic neighbourhood for living are subject to the general laws of demand and supply.…”

Section: Actual and Potential Benefits From Green Infrastructurementioning

confidence: 99%

High Biodiversity of Green Infrastructure Does Not Contribute to Recreational Ecosystem Services

Sikorska¹,

Sikorski²,

Hopkins³

2017

Preprint

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Urban lakes, especially those of natural origin, provide ecosystem services, recreation being one of the most important and highly valued by the city dwellers. Fulfilling the need of city residents to relax and have contact with nature has become a priority in urbanized areas and has been proved to positively affect people's health and well-being. The recreational potential of water bodies was identified to be most important aspect of ecosystem services to the residents of the neighboring areas. Assessment of recreational ecosystem services (RES) provisioning to society based on the real time spent by the citizens, in the rural-urban gradient allowed us to show how the economic benefits of lakes differ in urbanized, suburban and rural landscapes. Growth of cities has led to increased population density in the surroundings of ecologically valuable areas, resulting in higher pressure from visitors seeking recreational values. Along with urbanization, the impoverishment of ecosystem functions takes place limiting their capability to provide ecosystem services. In this work provisioning of recreational ecosystem services of 28 floodplain lakes located in urban-rural gradient of Warsaw agglomeration was assessed. The relation between the ecological value of the water bodies, measured using naturalness indices, and the ecosystem services they can provide was assessed. The results showed that the floodplain lakes located along the urban-rural gradient are of a great importance to the citizens due to their recreational potential. However the provisioning of recreational ecosystem services is poorly connected with the ecological value of the floodplain lakes and the economic benefits are of a greatest importance in objects included in the urban green spaces.

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Examining the determinants of room rates for hotels in capital cities: The Oslo experience

Cited by 141 publications

References 19 publications

Key Factors Affecting the Price of Airbnb Listings: A Geographically Weighted Approach

Key Factors Affecting the Price of Airbnb Listings: A Geographically Weighted Approach

Role of e-WOM in hospitality market pricing

High Biodiversity of Green Infrastructure Does Not Contribute to Recreational Ecosystem Services

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