Evidence map›Paper›PMID 35603260›Full record

ArticleLetters in spatial and resource sciences2022

Spatio-temporal variations and contextual factors of the supply of Airbnb in Rome. An initial investigation.

Massimiliano Crisci, Federico Benassi, Hamidreza Rabiei-Dastjerdi, Gavin McArdle

Open access · hybridAbstract read
In one paragraph

Article in Letters in spatial and resource sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Massimiliano CrisciItalian National Research Council (CNR-IRPPS), Institute of Research on Population and Social Policies, Via Palestro 32, 00185 Rome, Italy.
Federico BenassiItalian National Institute of Statistics, Via C. Balbo 16, 00144 Rome, Italy.
Hamidreza Rabiei-DastjerdiSchool of Computer Science and CeADAR, University College Dublin (UCD), Dublin, Ireland.ORCID 0000-0003-2576-793X
Gavin McArdleSchool of Computer Science and CeADAR, University College Dublin (UCD), Dublin, Ireland.
University College Dublin · IEInstitute for Research on Population and Social Policies · ITIstituto Nazionale di Statistica · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper offers an analysis of the supply of Airbnb accommodation in Rome, one of the main tourist destinations in the world, the third-largest city in Europe, by the number of Airbnb listings. The aim is to focus on the recent spatial trend of Airbnb listings, including the period of the COVID-19 pandemic, and highlight the main housing and socioeconomic characteristics of the neighbourhoods associated with a strong presence of Airbnb listings. The study is developed with quantitative methods and spatial regression (spatial lag and spatial error using OLS as a benchmark), based on data collected from the Inside Airbnb and Tomslee websites. In the period 2014-2019, the listing trend in Rome has been increasing in absolute numbers. After the start of the pandemic, the trend became negative, and the decline of Airbnb offerings is more substantial for shared accommodation. Airbnb supply is related to the distance from the city centre, the average income of the area, empty apartments, singles and the share of foreign residents coming from high-income countries. A signal of spatial diffusion of Airbnb listings emerges in the coastal area, even if they are increasingly concentrated in the historic centre, where there is a

Indexed as

AirbnbOLS modelRomeSouth-EuropeSpatial regression models

Identifiers

PMID35603260
PMCPMC9112640
OpenAlexW4280586859

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.