Bibliographic record
Abstract
This thesis investigates housing supply dynamics in the City of Toronto and the related transportation impacts in two parts. In the first part, the dynamic temporal interaction of housing starts, public transit ridership, and national/regional socioeconomic factors is investigated using a multichannel singular spectrum analysis (MSSA). Recognizing the importance of a holistic view of the relationship between the interacting variables temporal movements supports research to integrate methods from different analytical domains, or “silos”. The research strategy is to fuse the nonparametric MSSA analysis of the variables series collection with Granger bidirectional/bivariate causality and feedback tests to build a statistically significant causal loop that can empirically explain the oscillatory components in the system. A system view of the temporal interaction of the variables is constructed from the MSSA analysis spectrum decomposition and Granger causality tests. The system’s nonlinear dynamic fingerprint is identified using cause-effect diagrams of the system’s components. Stock components are introduced to absorb the interactions’ lags and to actuate the system’s dynamical behaviour. In the second part of the thesis a traffic impact sketch planning (TISP) model is developed and implemented for estimating the likely travel demand and behaviour generated by Bayside mixed-use development (MXD), a major land development project at Waterfront Toronto. TISP model deploys the operational TASHA-based GTAModel V4.1 travel demand model system for a detailed transportation impacts assessment of the proposed precinct development. To enable the use of an agent-based microsimulation (ABM) model, a population synthesis procedure is developed that converts the architectural design of the development; that is, number and type of dwellings by number of bedrooms and non-residential floorspace into relevant attributes of households, persons, and employment that are likely to occupy the units. Datasets of different geographic areas of Toronto, with some common control variables, are synthesized and cascaded into a disaggregate population of residents and non-residents for Bayside MXD. The diurnal peaking travel times trips estimated by TISP model are compared with the peak period trips shown in the project’s traffic impact study and the Trip Generation Manual peak-hour weekday trip rates of relevant land uses.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".