Research on Housing Burden Using the PIR Index

What it is

This was an earlier research project on housing burden in Seoul using the price-to-income ratio as the main interpretive frame.

Why it exists

I wanted to understand how housing pressure varied across administrative districts and how that variation could be explained clearly enough to present and discuss in a research setting.

What changed

The project gave me a more disciplined way to move from raw spatial data to a story that could be defended in front of other people. It also pushed me toward a workflow in which data processing, mapping, and explanation had to be connected rather than treated as separate tasks.

What I learned

• even a relatively standard index becomes more interesting when mapped carefully
• the presentation layer matters because it changes what patterns other people can actually see
• projects like this prepared the ground for later work such as the AI-driven floor area ratio imputation paper

Next

I do not plan to expand this into a major public section, but I want to keep it available because it shows an important early step in how my research practice formed.