Difference between revisions of "BusinessMafia Proposal"

From Geospatial Analytics and Applications
Jump to navigation Jump to search
Line 56: Line 56:
 
| <center>2010 Census City of Seattle Maps</center> || <center>Seattle.gov</center> || <center>SHP File</center>
 
| <center>2010 Census City of Seattle Maps</center> || <center>Seattle.gov</center> || <center>SHP File</center>
 
|}
 
|}
 +
</br>
 +
</br>
 +
 +
== Project Timeline ==
 
</br>
 
</br>
 
</br>
 
</br>

Revision as of 13:49, 4 March 2019

BUSINESS MAFIA

HOME

PROPOSAL

POSTER

APPLICATION

RESEARCH PAPER



Project Motivation

Airbnb has been democratic in providing its data access to the public for potential analysis. However, there is a lack of an aggregated platform to distill this mass of data into information that allow Airbnb hosts better understand the demands of the travelers coming into their city. Certain Airbnbs possess higher occupancy rates than others, the factors affecting it also differ from city to city and culture to culture. The reasons for visiting and type of travelers attracted also differ; as certain cities may attract more business travelers seeking comfort, while others attract backpackers looking for an affordable bed and breakfast accommodation.


With this in mind, our team is delving into the landscape of Seattle, Washington in United States to identity relationships and spatial patterns affecting the occupancy rate of Airbnbs in Seattle. We aim to help hosts better understand the demands of the travelers coming into their city, and how they can therefore increase their occupancy rates.

Project Objective

Through the project, we aim to:
  1. Identify airbnb hotspots and coldspots in Seattle
  2. Analyse the spatial relationships and patterns in Airbnb occupancy rate



Our Starting datasets

Data Source Data Type
Seattle Open Airbnb Data
Inside Airbnb
CSV File
Common Place Name (CPN)
City of Seattle Open Data Portal
CSV File
King County Metro Stops
KCGIS Center
SHP File
2010 Census City of Seattle Maps
Seattle.gov
SHP File



Project Timeline



Literature Review



Our Approach



Web Application Design



Application Overview



Our Findings