Landslide Hazards, Public Intervention and Property Values – The Case of Saguenay, Quebec, Canada
Bibliographic record
Abstract
Since the beginning of the 21 st century, over 100 major landslides have been reported worldwide, which resulted in both human casualties and massive damages to property. While the academic and technical literature on landslide hazard risk assessment is quite abundant, relatively few studies address the issue of the impact of landslide exposure on property values. In this research, we look at the impact that public intervention aimed at compensating homeowners affected by landslide hazard constraint zones had on residential values in La Baie, an arrondissement of the City of Saguenay (formerly Chicoutimi), in the province of Quebec, Canada. The area was most affected by the Saguenay flood that hit the region on July 19 and 20, 1996 and which was followed by a series of landslides. A difference-in-differences (DiD) spatial hedonic price model is estimated using a representative sample of 813 single-family sales transacted in La Baie between 2009 and 2016. Findings suggest that, caeteris paribus , and nearly two decades after the 1996 events, the compensation scheme implemented at the local level in December 2012 did not manage to completely offset the disadvantages of building constraints on high-risk sites induced by the new regulations and translated into a statistically significant price discount of 3.4% for affected properties as opposed to unaffected ones. They also suggest that a panoramic view on the Saguenay fjord adds some 8.6% to a property’s value.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".