An empirical analysis of Airbnb listings in forty American cities

Jiao, Junfeng; Bai, Shunhua

doi:10.1016/j.cities.2020.102618

Cited by 39 publications

(34 citation statements)

References 39 publications

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“…Where there was greater prevalence of less affluent hosts, this tended to be in areas that were desirable for reasons such as proximity to tourist/cultural hotspots, city centre, or transport. There was some evidence of positive association between income, house value and listing price per night [18]. Studies sometimes stated that the economically rational expectation would be for less affluent households to be more likely to engage in hosting, since the revenue generated would have greater marginal benefit (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…see [19]). Where this was not the case, suggested explanations included more affluent hosts having access to space to rent out [20] and the availability of internet connections [21], and being more likely to live in areas desirable to guests [18]. There was some evidence that less affluent hosts are more likely to list rooms, while hosts in more affluent areas list entire dwellings [22].…”

Section: Discussionmentioning

confidence: 99%

“…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. list a property on) the platform is important.…”

Section: Discussionmentioning

confidence: 99%

“…Location interacted both positively and negatively with other host characteristics. 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].…”

Section: Contextmentioning

confidence: 99%

“…They suggest that better understanding the reasons this this, and potentially promoting home-sharing as both an additional income scheme and as a route to regeneration, could be considered. [18] also propose investment in neighbourhood improvements to increase the potential for home-sharing.…”

Section: Identified Recommendationsmentioning

confidence: 99%

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

Fell

2020

Preprint

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Contextmentioning

confidence: 99%

Section: Identified Recommendationsmentioning

confidence: 99%

See 3 more Smart Citations

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

Fell

2020

Preprint

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Web Scraping and Naïve Bayes Classification for Political Analysis

Varela

Lezama

Charris

2021

Advances in Intelligent Systems and Computing

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Polish tourist facilities' engagement in the communication of the low-emission activities and sustainable development

Rutecka,

Cicha,

Rizun

et al. 2023

Environ Dev Sustain

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In 2021, Booking.com, one of the largest web portals for tourist facilities online reservations, started the Sustainable Travel Program. The main purpose behind it was to promote environmental consciousness among tourists as well as engage the tourist facilities owners to implement sustainable practices in their companies, and, as a consequence of such practices, reward them with a Sustainable Travel Badge. The objective of this research is to examine the engagement of Polish tourist facilities in low-emission and sustainable development activities. To meet the defined purpose, the research was conducted on the data about the facilities in Poland, included in the Booking.com Sustainable Travel Program. The study examines what types of facilities possess the sustainable badge more than others; in which voivodeships (provinces) of Poland there are more objects with the badge, and which Sustainable Travel Practices (out of 30) are realized more frequently. Such information may be useful when choosing a tourist destination, especially for tourists sensitive to environmental issues. The sustainable development practices introduced by Booking.com are mostly possible to be realized by large hotel enterprises. However, it is sometimes difficult to verify whether a certain practice is indeed implemented by a facility, or what exactly its implementation looks like in reality. The number of tourist objects engaged in the Booking.com Sustainable Travel Program has a low correlation with the level of wealth of the voivodeship where an object is located. It is justified by the fact that the wealthiest voivodeships in Poland are not necessarily the most attractive for tourists. The collected data can be a recommendation for both owners of tourist facilities and tourists regarding Polish regions and holiday destinations that meet the criteria of being sustainable, in accordance with the Booking.com guidelines.

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An empirical analysis of Airbnb listings in forty American cities

Cited by 39 publications

References 39 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

Web Scraping and Naïve Bayes Classification for Political Analysis

Polish tourist facilities' engagement in the communication of the low-emission activities and sustainable development

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