Commercial‐to‐residential land‐use conversion and residential recentralization in large cities
Bibliographic record
Abstract
Abstract I examine the long‐term impact of a real estate bubble on the land‐use patterns of Tokyo and Osaka from 1980 to 2003 and find that fluctuations in land prices reflected changing demand for commercial land relative to that for residential land, which, in turn, affected housing supply and residential location choices. During the real estate bubble, land developers favored commercial over residential development because the perceived productive value of commercial land increased sharply. Thus, daytime population in central cities increased and residential population fell. During the economic downturn, however, the demand for commercial space fell, houses were favored by land developers and residents were recentralized. My causal estimates show that the commercial‐to‐residential land‐use conversion can explain approximately 9% to 16% of the housing starts after the bubble burst in Tokyo and Osaka, and their populations would have been reduced by 2% to 3% otherwise. The effect is more prominent in their central business districts. My findings provide a novel explanation for the recent changes in central neighbourhoods.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".