Airbnb search filters

This compares the overlap between three 1-week (Monday - Friday) searches for the Charlottesville area on AirBnB.

Code

## [1] 56
## [1] 56
## [1] 68
## [1] 68
## [1] 123
## [1] 58
## [1] 103
## Simple feature collection with 136 features and 2 fields
## geometry type:  POINT
## dimension:      XY
## bbox:           xmin: -78.519 ymin: 38.01136 xmax: -78.45405 ymax: 38.06301
## epsg (SRID):    4326
## proj4string:    +proj=longlat +datum=WGS84 +no_defs
## # A tibble: 136 x 3
## # Groups:   room_id [136]
##    room_id      n             geometry
##  * <chr>    <int>          <POINT [°]>
##  1 11143292     3 (-78.49218 38.01799)
##  2 11144486     2 (-78.47495 38.02022)
##  3 1138005      2 (-78.46057 38.04457)
##  4 1148833      3    (-78.47035 38.04)
##  5 11584825     3 (-78.50173 38.04602)
##  6 11733216     2 (-78.51324 38.03833)
##  7 1186869      2 (-78.49236 38.04001)
##  8 12056699     2   (-78.5007 38.0213)
##  9 12172911     2 (-78.50927 38.04144)
## 10 12218955     2  (-78.51827 38.0167)
## # … with 126 more rows

AirBnB scrapes

This plot suggests we may not being going far enough into the future for availability.

Larger rentals

Considering listings with 2 or more bedrooms as a proxy for houses that would otherwise be available for rental.

Map by month available

Zoning of larger rentals

Very low overlap with areas zoned non-residential (all zones exlcuding R-1, R-1S, R-2, R-2U, R-3 )

Code

Plots

“By-right” zoned map

A lot of restricted locations are being falsly called as “by-right” because this zoning information is derived from parcel level data, which is not continuous across streets and property lines.