Cities reshaped by Airbnb
A case study in New York City, Chicago, and Los Angeles
Datos Bibliográficos
| ID | 4138693 |
|---|---|
| Autores | Junfeng Jiao (0000-0002-7272-8805, Urban Information Lab, The University of Texas at Austin, USA, autor de correspondencia), Shunhua Bai (0000-0002-8774-5368, Urban Information Lab, The University of Texas at Austin, USA) |
| Año | 2020 |
| Volumen | 52 |
| Número | 1 |
| Páginas | 10-13 |
| Fecha de publicación | 2020-02-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Environment and Planning A Economy and Space (JOURNAL) |
| Identificadores de la revista | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0308518x19853275 |
| PMID | 38076284 |
| OpenAlex | W2947921850 |
| Idioma | EN |
| Citas recibidas | 14 |
| Referencias citadas | 5 |
In the last 10 years, Airbnb has rapidly grown from a simple, online bed and breakfast operation to a leading global hospitality service provider. Scholars have been using different spatial analysis tools to study its potential impacts on cities. To better understand Airbnb's impact this featured graphic applied a cartogram processing tool to reshape census tracts based on Airbnb listing intensity in three major US cities (New York City, Chicago, and Los Angeles). Results showed that different cities have different patterns of Airbnb listings. Census tracts in New York City became completely unrecognizable after the analysis, which indicted a highly skewed Airbnb distribution in the city. Compared with New York City, we saw less and least deformation in Chicago and Los Angeles, respectively, where Airbnb was more evenly distributed. The results showed that Airbnb listings were very evenly distributed in the large US cities. Airbnb would impose completely different impacts on different neighborhoods based on their locations
Archaeology · Business · Census · Economic geography · Geography · Hospitality · Population · Regional science · Sociology · Tourism · Demography · Sharing Economy and Platforms · Transportation and Mobility Innovations · Urban and Freight Transport Logistics · Finance · Marketing
Indicators for measuring tourism intensification in urban areas through their associative network
An empirical analysis of Airbnb listings in forty American cities
Short-term rentals and housing prices
Governing the social impacts of tourism in Unesco Biosphere Reserves
The spatial patterns of Airbnb offers, hotels and attractions
Just Smart or Just and Smart Cities? Assessing the Literature on Housing and Information and Communication Technology
Built environment and airbnb spatial distribution in Hong Kong
Exploring the network of the short-term rental financial complex
Regulation of short-term rentals in Lisbon
Unexpected urban comparisons
The perceived impacts of short-term rental platforms
Airbnbfication and gentrification from the perspective of rent gap theory
Listen to the People of Starkville
Online rental housing market representation and the digital reproduction of urban inequality
| Obras citantes distintas | 14 |
|---|---|
| Citas por año | 2,33 |
| Intervalo de citas | 2020 - 2026 (7) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 12 |