Relationship between spatial agglomeration and hotel prices. Evidence from business and tourism consumers

Balaguer, Jacint; Pernías, José C.

doi:10.1016/j.tourman.2012.10.004

Cited by 92 publications

(104 citation statements)

References 18 publications

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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 [47], the assessment can be strongly biased and the RES will be unevenly distributed in space. Property values increase along the urban-rural gradient (the closer to the city centre, the more expensive) [48][49][50][51][52][53], and a similar pattern should be revealed as property nears RES provisioning of cities' green infrastructure. While the benefits derived from potential ES resources of green infrastructure-such as CO 2 and noise reduction-or a positive influence on microclimate affect all the citizens in the neighbourhood, benefits associated with recreation or choice of an aesthetic neighbourhood to live in are subject to the general laws of demand and supply.…”

Section: Actual and Potential Benefits From Green Infrastructurementioning

confidence: 91%

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

2017

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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 city dwellers. Fulfilling the needs of city residents to relax and have contact with nature has become a priority in urbanized areas and has been proven to positively affect people's health and well-being. The recreational potential of water bodies was identified to be the most important aspect of ecosystem services to the residents of the neighboring areas. An assessment of recreational ecosystem services (RES) provisioning to society based on the real time spent by the citizens and housing values in the urban-rural gradient revealed that the economic benefits of lakes differ in urbanized, suburban and rural landscapes. The growth of cities has led to an increased population density in the surroundings of ecologically valuable areas, resulting in higher pressure from visitors seeking recreational areas. Along with urbanization, the impoverishment of ecosystem functions takes place, limiting their capability to provide ecosystem services. In this work, the provisioning of recreational ecosystem services of 28 floodplain lakes located along the urban-rural gradient of the Warsaw agglomeration was assessed. The relationship between the ecological value of the water bodies, measured using naturalness indices, and the recreational ecosystem services they can provide was assessed. The results showed that the floodplain lakes located along the urban-rural gradient are of great importance to the citizens due to their recreational potential. The provisioning of recreational ecosystem services is poorly connected with the ecological characteristics of the floodplain lakes. Only hemeroby was significantly correlated with provisioning, and there was no relationship with factors such as naturalness of vegetation or water quality, demonstrating that public preference was not generally influenced by high ecological quality. These data should be available to potential buyers and be integrated in spatial planning management plans in order to shape future housing policy.

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Section: Actual and Potential Benefits From Green Infrastructurementioning

confidence: 91%

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

2017

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“…The existing literature on RM has highlighted a set of major drivers that are expected to enhance or hinder price variation over time in travel and tourism markets (see for example Balaguer and Pernias, 2013;Chen and Schwartz, 2008). We will consider them in the two subsequent subsections.…”

Section: Literature Review and Main Research Questionsmentioning

confidence: 99%

Are all online hotel prices created dynamic? An empirical assessment

Melis

Piga

2017

International Journal of Hospitality Management

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Abstract:Understanding how tourist firms set their online prices is important due to their growing reliance on Online Travel Agencies (OTA). Little is known, however, about whether differences exist in the online pricing approaches adopted by hotels using an OTA. The article tests, using a big data approach, whether the diffuse narrative of a pervasive presence of dynamic pricing provides a realistic description of hotels' pricing behavior and thus challenges the view that dynamic pricing should be considered the prevailing norm for the industry. The evidence suggests a heterogenous attitude across hotels, with uniform pricing being more widespread in most hotels of our sample, namely, the 3-star or less, while dynamic pricing is more likely applied in higher quality hotels.

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“…Past studies have investigated numerous factors affecting hotel price, identifying a set of price determinants such as brand name, star rating, location, hotel age, number of rooms, amenities, and so forth [6][7][8][9]. Airbnb is a recent lodging concept that differs from traditional hotels in terms of booking systems, facilities, website designs, and customer service.…”

Section: Introductionmentioning

confidence: 99%

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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Relationship between spatial agglomeration and hotel prices. Evidence from business and tourism consumers

Cited by 92 publications

References 18 publications

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

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

Are all online hotel prices created dynamic? An empirical assessment

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

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