Tuesday, October 4, 2022
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Airbnb-ing world wide – On Bodily Sciences

Sharing Economic system

Sharing Economic system (SE) providers have grow to be an integral a part of my life: from renting an Airbnb property when happening a metropolis break vacation, to ready for an Uber automobile to take me house after an evening out, and extra just lately promoting my unused garments on Vinted.

I’ve grow to be so used to counting on these SE providers that I can not think about what it will be like not to have them.

However then a few years in the past I traveled to Beijing for the primary time, and as I used to be organizing my journey I assumed: can I e book an Airbnb there? And after I arrive, will I be capable to take an Uber from the airport?

Rapidly, I noticed that these SE providers, regardless of doubtlessly being accessible all over the place on the earth, may really provide very totally different experiences relying on the town the place you might be.

In any case, these are providers supplied by native individuals, throughout the native context, and cities world wide have their very own set of social norms, cultures, economies, and laws which will render these providers very totally different from metropolis to metropolis.


For the time being, most of what we all know of SE providers refers to cities in North America and partly in Europe. We all know little or no about them in, for instance, Asia or South America. To shut this information hole, we have now developed computational strategies to allow the examine of such providers at scale.

Take the case of Airbnb for instance: each consumer has their very own profile, and each interplay they’re concerned in leaves a hint (e.g., within the type of a assessment).

These information may be collected and robotically analyzed, to reply questions similar to: in what metropolis neighborhoods are Airbnb properties situated, and the place do vacationers choose to remain? What do Airbnb company care probably the most about their keep and the way glad are they with it?

We ended up finding out 19 cities (7 in Asia, 5 in South America, and seven in Western World), over a interval of 9 years (from 2011 to 2019), and these are a few of our key findings.

Key Findings

We checked out host density, that’s, the variety of distinctive Airbnb listings accessible in every metropolis neighborhood, normalized by space measurement.

We additionally measured visitor density, this time wanting on the variety of opinions left per neighborhood. As one may anticipate, each provide and demand are increased in additional central and vacationer areas.

Nevertheless, we noticed a remarkably increased geographic bias in the direction of metropolis facilities for cities in Latin America in comparison with these in Asia or the Western World (see, for instance, Buenos Aires vs Beijing or London – Fig. 1).

Fig. 1. Provide (host) density in Beijing, London and Buenos Aires

© G. Quattrone et. al. (2022)

This is likely to be defined by perceived decrease ranges of security when venturing out of probably the most central and vacationer districts, in addition to increased issue shifting round utilizing public transports on this a part of the world.

We then leveraged state-of-the-art Pure Language Processing (NLP) strategies, and particularly used the Valence Conscious Dictionary for Sentiment Reasoning (VADER) sentiment evaluation algorithm, to measure vacationers’ satisfaction; we additional used the Gibbs Sampling Dirichlet Combination Mannequin (GSDMM) matter modelling algorithm, to seek out out what matters company focus on of their opinions (see Desk 1).

Desk 1: 10 detected matters and their 8 most related phrases

© G. Quattrone et. al. (2022)

Curiously, we discovered excessive satisfaction with the Airbnb service general in each metropolis below examine (i.e., positively skewed distribution of sentiment general).

Moreover, we discovered that company mentioned totally different elements of the service (e.g., location, services, communication with the host, hospitality) in equal measure in all cities, suggesting that vacationers worth the identical elements of the service wherever they journey.

Nevertheless, when wanting on the sentiment expressed on a per side foundation (moderately than for the keep general), we discovered markedly much less optimistic sentiment for opinions left by company visiting Asian cities (see Fig. 2).

Fig. 2. Imply sentiment aggregated by matter

© G. Quattrone et. al. (2022)

This is likely to be defined by the housing unaffordability disaster that impacts many Asian international locations, which could present itself within the much less optimistic sentiment related to matters similar to worth for cash and services.

What’s Subsequent

Though this examine has broadened our information of Airbnb penetration and adoption in geographically totally different contexts, our findings solely reveal the viewpoint of English-writing company.

Within the non-Western cities studied, these characterize solely 39% of the whole opinions left by company (with ‘native’ languages similar to Spanish, Portuguese and Mandarin being the dominant languages as a substitute).

Future research ought to analyze matters and sentiment in opinions written in different languages too.

Additionally, as worldwide journey reopens following an nearly two-year break as a result of COVID-19 pandemic, the current examine needs to be repeated on more moderen opinions, to grasp if wants and expectations of hosts and company have modified.



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