Harmonization of residential & commercial mixed-use developments : investigation of regulatory issues by case studies
Why this work is in the frame
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Bibliographic record
Abstract
Mixed-use neighborhoods, which feature increased housing/job variety and density, can create pedestrian and bicycle-friendly environments by reducing dependency on vehicles and traffic congestion, and shortening distances between housing, workplaces and other destinations.Municipal regulations are vital to modern mixed-use developments due to their capability to control the direction of metropolitan growth.In this research, I have attempted to make a correlation between local regulations and current neighborhood development patterns in three well known, mixed-use neighborhoods using the case study approach.Three mixed-use neighborhoods, the North Pearl District (NPD; Portland, Oregon), South Lake Union (SLU; Seattle, Washington) and False Creek North (FCN; Vancouver, Canada), were chosen for this case study research.I examined and visualized the local regulations that pertain to mixed-use development of each neighborhood using Illustrator and SketchUp.I also analyzed and discussed U.S. Census information, including households per acre, average household size and household vehicle occupancy.vii The investigation indicates that among the three neighborhoods, the mixed-use regulations of FCN are the most straightforward and clear.This is reflected in the consistency between regulations and current land uses.The overall mixed degree in NPD is relatively large likely due to its incentive regulations, making itself as a highly walkable neighborhood.The local regulations in SLU are the most complicated, and focus on attracting innovative firms.In conclusion, we have conducted a study to investigate the development of mixed-use neighborhoods by scrutinizing local regulations and analyzing current situations and statistical data.The results indicated that the straightforward and incentive regulations, such as legalized neighborhood land use plan and bonus floor area ratios, benefit the mixed-use developments of neighborhoods by increasing the efficiency in land use and maximizing the mixed-use degree, thus leading to a compact, walkable and vital community.viii
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.010 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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 it