How do you approach mapping citizens’ preferences when it comes to choosing a home in a large city? And how do you do it with with great precision?
Focus groups or questionnaires can lead to many sources of error. For instance, psychological tendencies such as answering according to social norms, ideals, or what the respondents think the interviewer wants to hear, i.e., the “correct” answer. Instead, we recommended using a very large and highly valid dataset based on actual citizen behaviour by cooperating with the Danish housing portal Boliga who provided access to their enormous database.
Through a combination of statistical analyses and hypotheses, we were able to identify a range of evident preferences in the data. The result was a very precise and valid insight into what the citizens of Copenhagen actually want when choosing a home, which reflected their realistic preferences and willingness to pay.
The Municipality of Copenhagen:
Preferences of Buying a Home