Airbnb’s contribution to socio-spatial inequalities and geographies of resistance in Barcelona

Pérez, Soledad Morales; Tamajón, Lluís Garay; Wilson, Julie

doi:10.1080/14616688.2020.1795712

Cited by 23 publications

(18 citation statements)

References 57 publications

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“…Hosts seem to offer listings in areas that have the highest touristic demand and thereby also mimic the location of hotels. The findings for Brussels correspond with previous research results observed in other cities showing how Airbnbs cluster in the centre and near touristic attractions(Quattrone et al, 2016;Morales-Pe ´rez et al, 2020;Ioannides et al, 2019) and in neighbourhoods where many hotels locate(Eugenio-Martin et al, 2019;Gy odi, 2019).…”

supporting

confidence: 90%

The spatial distribution of Airbnb providers in Brussels: different drivers for different types of hosts?

Endrich

Verhaeghe

Costa

et al. 2022

CBTH

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Purpose The purpose of this study is to compare the spatial distribution of different types of Airbnb hosts – based on a novel typology – and to investigate their association with neighbourhood characteristics in Brussels. Design/methodology/approach This study describes the location of Airbnb dwellings across the types of hosts and use spatial tests to compare their distributions to the traditional hospitality industry. With regression models, this study examines the relationship between the provision of Airbnb listings and neighbourhood indicators. Findings While different types of hosts offer their listings in the same urban space, they also cover different areas and exhibit different clustering processes. Their locations are associated with structural, socio-economic and demographic neighbourhood characteristics that vary across the types and provide support for the new typology. Research limitations/implications This study focuses on the type of Airbnb hosts and their listings in one year, 2019. It would be worthwhile to apply the typology to other cities and to observe how the distributions change over time, including the period of the COVID-19 pandemic. Originality/value To the best of the authors’ knowledge, this paper is the first to suggest a finer typology of Airbnb hosts than the regular distinction into professional and non-professional types and reveals how hosts differ in the location of their Airbnbs.

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confidence: 90%

The spatial distribution of Airbnb providers in Brussels: different drivers for different types of hosts?

Endrich

Verhaeghe

Costa

et al. 2022

CBTH

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“…Regarding other accommodations, P2P lodging has the particularity that the close host-guest relationship influences the image perceived by visitors [91], and the lengths of stay in Barcelona are longer [86]. Much public opinion held that Airbnb contributed to the touristification and gentrification of Barcelona [92] and to inequalities between its neighborhoods [93]. Generally, the content of Airbnb OTRs focuses on assessing the relationship with the host and the accommodation features and amenities.…”

Section: Methodsmentioning

confidence: 99%

Measuring Online Destination Image, Satisfaction, and Loyalty: Evidence from Barcelona Districts

Mariné-Roig

2021

Tourism and Hospitality

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The relationships between destination image and tourist satisfaction and loyalty have been studied extensively through surveys. This study aims to measure these constructs through big data analytics by going one step further in a line of research undertaken 8 years ago. The data source is content generated by travelers and shared on social media regarding the 10 districts of the city of Barcelona (Catalonia): more than 750,000 online travel reviews (OTRs) hosted on the Airbnb platform. This study also explores a relationship demonstrated by numerous researchers through surveys: the impact of destination image on tourist loyalty through satisfaction. However, the results are not satisfactory due to the great weight of the lodging price variable that unbalances the relationship. For example, the first district in the ranking of cognitive image categories is also the first in the ranking of average scores and of positive feelings and moods. However, the last two districts in the ranking of cognitive categories are the first in the rankings of satisfaction, positive recommendations, and cheaper prices. Additionally, the findings show that the location of the accommodation significantly determines the theme of the OTR narrative. Moreover, the results confirm previous studies on the exaggerated positivity of peer-to-peer accommodation scores: only 0.92% of 15,625 rated properties had negative overall scores.

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“…Studies such as Dogru et al (2021) show how Airbnb growth in the destinations has a clear negative impact on hotel revenues, especially related to a reduction in the pricing power of hotels, rather than occupancy. Moreover, some authors (i.e., Morales et al, 2020) have demonstrated how this adverse influence is associated with the growing predominance of multiple-listing hosts in the digital platform; the only exception to this outcome is the “economy-scale” segment; in addition to forcing economy-scale hotels to lower their prices to compete with Airbnb, these hotels also appear to have lost customers to the platform. For Farronato and Fradkin (2021), this kind of externalities are especially concentrated in times of peak demand: the hotel sector in many cities is frequently constrained by a limited number of available rooms, which leads to high prices during demand peaks because hotels cannot accommodate all potential travelers.…”

Section: Literaturementioning

confidence: 99%

“…Moreover, it is important to add that this is mainly a digital fight: anti-tourism social movements are using the same tools as the big companies, that is, the platforms. Indeed, anti-tourism activism in these cities make use especially of social media platforms and the participation of different stakeholders (especially choreographers, basically influencers) on them to pressure the destination managers regarding the need to control tourism growth pushed by “platform capitalism” (Garay et al, 2020; Morales et al, 2020; Wilson et al, 2021). And this begins with the claim for the platforms to offer more data on the characteristics of their listings and developments in these cities.…”

Section: Literaturementioning

confidence: 99%

“…However, the later years have seen an especially important development of specialized literature (Guttentag, 2019) that has echoed other results of these dynamics, highlighting a range of negative externalities caused by STAP growth, such as the increasing occupation of public and private spaces, the deterioration of the commercial fabric and, most notably, the effects on the housing market itself. Authors, such as, for example, Wachsmuth and Weisler (2018), have reported the influence of the development of the Airbnb supply in the increase in rental prices in different cities as well as its responsibility for diverse processes leading to the displacement of the resident population (“touristification” processes) (Morales et al, 2020), which have even overlapped previous “gentrification” processes. Obviously, an initial rather passive, and even receptive, response from residents has been followed by resistance and finally mobilization of a group of activists, generally united by a degrowth ideology, and aligned with organizations defending decent housing conditions, forming two basic vectors of the contemporary “Right to the city” movement (Díaz-Parra and Jover, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Analyzing the influence of short-term rental platforms on housing affordability in global urban destination neighborhoods

Tamajón

Lladós‐Masllorens

Artola

et al. 2022

Tourism and Hospitality Research

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In the last decade, global urban destinations have witnessed an unprecedented wave of tourism growth based on the development of short-term rental platforms (STAP) and of a particular platform, Airbnb. Literature has demonstrated this growth’s influence in different contexts, highlighting its impact on housing markets, mostly at the city level and through correlation or regression analyses. This study goes a step further, focusing on the neighborhood level for the case of Barcelona (Spain) and using k-means clustering. Results show how the concentration of Airbnb listings in “highly touristified” and “trendy” neighborhoods has been associated with an increase in rental prices in these areas. Moreover, the subsequent increase in the demand for tourism-related services in these neighborhoods has led to a displacement of residents to peripheral neighborhoods, which has also put pressure on these areas’ housing prices. These processes have been accompanied by an increasing reaction from local anti-tourism movements. Based on these findings, we suggest that global urban destinations managers need to manage STAP and tourism-related service development not only in relation to the tourism industry but also regarding its impact on the conditions of residents and should consider the neighborhood as a primary management unit when designing the necessary regulations.

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Airbnb’s contribution to socio-spatial inequalities and geographies of resistance in Barcelona

Cited by 23 publications

References 57 publications

The spatial distribution of Airbnb providers in Brussels: different drivers for different types of hosts?

The spatial distribution of Airbnb providers in Brussels: different drivers for different types of hosts?

Measuring Online Destination Image, Satisfaction, and Loyalty: Evidence from Barcelona Districts

Analyzing the influence of short-term rental platforms on housing affordability in global urban destination neighborhoods

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