Understanding Airbnb spatial distribution in a southern European city: The case of Barcelona

Lagonigro, Raymond; Martori, Joan Carles; Apparicio, Philippe

doi:10.1016/j.apgeog.2019.102136

Cited by 60 publications

(34 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Across 10 studies that considered host education level (again usually on an area basis), there was quite consistent evidence of higher levels of hosting in more highly educated hosts or areas, although in some cases no significant association with education level was found. In certain circumstances (again related to location), there was evidence from one study of higher hosting levels in areas with lower education levels [24]. There was little speculation as to reasons underpinning the association between education and hosting, although Jiao and Bai [18] refer to previous research [25] suggesting that ability to interact with (i.e.…”

Section: Discussionmentioning

confidence: 99%

“…For example, [18] found that people on lower incomes tended to live further from good transport links, diminishing the attractiveness of the location and seeing less hosting activity as a (suggested) result. On the other hand, location sometimes helped overcome factors which were otherwise rather strongly associated with hosting, such as the higher hosting levels identified in some low-education areas by [24]. Connections were highlighted between gentrification (e.g.…”

Section: Contextmentioning

confidence: 99%

See 1 more Smart Citation

Anticipating Distributional Impacts of Peer-to-Peer Energy Trading: Inference From a Realist Review of Evidence on Airbnb

Fell

2020

Preprint

View full text Add to dashboard Cite

Peer-to-peer (P2P) energy trading – where energy prosumers transact directly between each other – could help enable transition to a low-carbon energy system. If it is to be supported in policy and regulation, it is important to anticipate the distributional impacts (or how it might impact segments of society differently). However, real-world evidence on P2P energy trading is currently extremely limited. To address this challenge in the short- to medium-term, this study aimed to explore what might be learned from the extensive body of research on a comparable offering in the accommodation sector: Airbnb. A realist review approach was employed to maximise transferability of findings, focused on what mechanisms are thought to lead to what distributional outcomes, in what contexts. On the basis of the review, the benefits of selling services in P2P energy trading schemes would be expected to accrue disproportionately to those living in areas with network management challenges, who are younger and more highly educated. The review also raised the prospect of discrimination on the basis of characteristics such as race and gender where there are high levels of individual choice over who to trade with. Recommendations include monitoring, incentivising diversity, anonymization, and limiting trading choices.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Contextmentioning

confidence: 99%

Anticipating Distributional Impacts of Peer-to-Peer Energy Trading: Inference From a Realist Review of Evidence on Airbnb

Fell

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…In the framework of the Exploratory Spatial Data Analysis (ESDA), the use of both indicators together is remarkably widespread in the literature and has been frequently applied in order to analyse the spatial distribution patterns of a wide range of cases, such as the locations of the Airbnbs [27,28], evictions [29,30], foreign population [31,32], or wage income [33].…”

Section: Methodsmentioning

confidence: 99%

Approach to Urban Environmental Justice Using Exploratory Spatial Data Analysis. The Case of Valencia’s Monumental Trees

2020

View full text Add to dashboard Cite

Environmental justice has been a relevant object of analysis in recent decades. The generation of patterns in the spatial distribution of urban trees has been a widely addressed issue in the literature. However, the spatial distribution of monumental trees still constitutes an unknown object of study. The aim of this paper was to analyse the spatial distribution of the monumental-tree heritage in the city of Valencia, using Exploratory Spatial Data Analysis (ESDA) methods, in relation to different population groups and to discuss some implications in terms of environmental justice, from the public-policy perspective. The results show that monumental trees are spatially concentrated in high-income neighbourhoods, and this fact represents an indicator of environmental inequality. This diagnosis can provide support for decision-making on this matter.

show abstract

“…The most relevant research has focused on the transformation of market mechanisms in those cities where Airbnb has a strong presence [24]; in house prices [12,13,25,26]; in the impact on the hotel industry [27][28][29][30]. In a smaller number of them, they have focused on the impacts of Airbnb on the administration and urban planning of cities [31][32][33], on spatial analysis [34][35][36], and on the factors that influence the distribution of Airbnb offers [37].…”

Section: Literature Reviewmentioning

confidence: 99%

An Evaluation of the Three Pillars of Sustainability in Cities with High Airbnb Presence: A Case Study of the City of Madrid

Álvarez-Herránz

Macedo-Ruíz

2021

Sustainability

View full text Add to dashboard Cite

The recent proliferation of private tourist accommodations on what has been known as sharing economy has induced new models on urban tourism and on the use of traditional housing. Urban tourism pressure has caused many transformation processes with important impacts in neighborhoods with high tourist interest, which are shown in the evolution of certain urban sustainability indicators, such as those proposed by the UN-Habitat Agenda for Sustainable Cities in line with the principles of the Leipzig Charter on Sustainable European Cities. Due to the above, the objective of this work is to analyze the spatial distribution of Airbnb accommodations, and explore the factors associated with the situation of Airbnb rentals in relation to the indicators of urban sustainability of neighborhoods and variables related to the gentrification processes of neighborhoods in which there is crowding or overtourism, measured through the Global Tourist Stress Index. For this, a first-order spatial autoregressive panel (SAR) data model with fixed effects has been specified, the results of which provide us with information to understand how sustainability indicators in the neighborhoods of the city of Madrid in the time period 2015–2018, they would explain the location and number of Airbnb accommodations found there. Additionally, it allows us to observe the existence of a spillover effect from the central neighborhoods, with a high per capita income, to nearby neighborhoods with lower income due to the level of tourist crowding, which is a contribution to the scarce existing literature.

show abstract

Understanding Airbnb spatial distribution in a southern European city: The case of Barcelona

Cited by 60 publications

References 45 publications

Anticipating Distributional Impacts of Peer-to-Peer Energy Trading: Inference From a Realist Review of Evidence on Airbnb

Anticipating Distributional Impacts of Peer-to-Peer Energy Trading: Inference From a Realist Review of Evidence on Airbnb

Approach to Urban Environmental Justice Using Exploratory Spatial Data Analysis. The Case of Valencia’s Monumental Trees

An Evaluation of the Three Pillars of Sustainability in Cities with High Airbnb Presence: A Case Study of the City of Madrid

Contact Info

Product

Resources

About