Case study:
Data City: Integration and visualisation of spatial and socio-economic
data in an urban context
Data set 3; houses in multiple occupancy (HMO's)
The third data set represents the percent
of houses in multiple-occupancy. The data was provided by Glasgow City
Council, Environmental Protection, HMO's Unit and it is aggregated by
street in order to protect the privacy of residents.
The number of HMO's was represented in
the model using the following scale: (# of HMO's in the street / Total
# of houses) X 100%.
After that we converted this value to a
height by dividing by 2.
For example a street with 60% HMO's is
represented by a volume 30 meters high.
Fig. 19 Data set 3, houses in multiple occupancy, looking from
North West
Fig. 20 Data set 3, houses in multiple occupancy, looking from
South East
Fig. 21 Data set 3, houses in multiple occupancy, looking from
North East
Fig. 22 Data set 3, houses in multiple occupancy, looking from
South West
Assessment of data set 3
The study area has a large student population,
mainly because it is a few hundred meters from the University of Glasgow's
main campus and because it contains a large proportion of spacious Victorian
middle class flats which are favoured by landlords wishing to rent them
as bed-sits.
We see that the variation in numbers occurs
from East to West and that the highest concentration of HMO's is in the
middle sector. The likely explanation for this is that property prices
increase as one gets nearer the High Street (Byres Road) to the West and
that the extensive renovations in the Eastern sector have resulted in
increased property prices that are not attractive for HMO landlords.
