Title
Airbnb Multi-listings, 2015-2017
License
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
+ You are free to:

+

+ Share — copy and redistribute the material in any medium or format

+ Adapt — remix, transform, and build upon the material

+ The licensor cannot revoke these freedoms as long as you follow the license terms.

+ Under the following terms:

+

+ Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

+ NonCommercial — You may not use the material for commercial purposes.

+ No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

+ For more info see https://creativecommons.org/licenses/by-nc/4.0/.
Abstract

Point data representing Airbnb listing for 44 cities across the world recorded between year 2015 - 2017. This map represents the 'multi-listings' i.e. the listings that share the same host id. These listings are downloaded from Inside Airbnb (URL: http://insideairbnb.com/get-the-data.html), which is an independent, non-commercial set of tools and data that allow user to explore how Airbnb is being used in cities...

Publication Date
Keywords
housing and property market , disruptive technology , airbnb , sharing economy
Category
Society
characteristics of society and cultures. Examples: settlements, anthropology, archaeology, education, traditional beliefs, manners and customs, demographic data, recreational areas and activities, social impact assessments, crime and justice, census information
Regions
Global
Owner
More info
Purpose

To understand the impact of disruptive technology on the housing and property market

Language
English
Data Quality
Inside Airbnb scrapes the publicly available information about a city's Airbnb's listings including the availability calender for 365 days in the future, and the reviews of each listing. The data available is the snapshot of listings available at a particular time. (URL: http://insideairbnb.com/about.html)
Supplemental Information

No information provided

Spatial Representation Type
vector data is used to represent geographic data

Comments (0 total)

Log in to add a comment

Average Rating

(0)