The Covid-19 pandemic has profoundly changed the market in some sectors. This is the case of the student housing market. Now, more than ever, real estate agencies and private landlords need to understand customer preferences in order to find tenants for the empty rooms or apartments they own.
The aim of this Choice-based Conjoint Analysis is to investigate customer preferences about student accommodation by answering the following research questions:
- Which room’s features are considered the most important by students? Which attributes’ levels are associated with a positive part worth?
- How can we assess the preference of a specific product profile we want to launch on the market? How can we increase its success?
- Are students’ preferences homogeneous towards the choice of the room?
Data have been collected through a choice-based conjoint survey according to the Fractional Factorial Design with a Mix and Match approach. The sample design follows a snowball sampling, in which existing study subjects recruit future subjects among their acquaintances. We have considered only university students (Master’s, Bachelor’s and PhD), for a total of 142 respondents.
The Code is written in R 4.0.3.
- data.table 1.13.6
- ggplot2 3.3.3
- ggpubr 0.4.0
- support.CEs 0.5.0
- tidyverse 1.3.0
- mlogit 1.1.1
- MASS 7.3.53
- lattice 0.20.41
- Marta Fattorel (marta.fattorel@studenti.unitn.it)
- Marco Tonin (marco.tonin@studenti.unitn.it)
This work is available under the Creative Commons Attribution-ShareAlike License. Read more about this license from https://creativecommons.org/licenses/by-sa/3.0/.