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Record W2089506578 · doi:10.3141/1898-18

Modeling Location Choices of Housing Builders in the Greater Toronto, Canada, Area

2004· article· en· W2089506578 on OpenAlexaffabout
Murtaza Haider, Eric J. Miller

Bibliographic record

VenueTransportation Research Record Journal of the Transportation Research Board · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing Market and Economics
Canadian institutionsUniversity of TorontoMcGill University
FundersNational Science Council
KeywordsResidential areaTransport engineeringWork (physics)Single-family detached homeGeographyCentral business districtBusinessEconomic geographyCivil engineeringEngineering

Abstract

fetched live from OpenAlex

An analysis of the spatial choice of housing builders in the greater Toronto area (GTA), Canada, is presented. A spatially disaggregate database of 126,462 new housing units built by 445 builders is used to analyze the determinants of the intrametropolitan location of new housing. Housing starts are classified into four types: single-family detached (SFD), semidetached, condominiums, and row-link housing. An accessibility analysis shows that the GTA remains a monocentric region where accessibility for most activities declines with distance from the central business district. The location choice of homebuilders differs by housing type. For instance, the construction of new condominiums is more likely to be in high-density areas with high accessibility to jobs. Similarly, the likelihood of construction of low-rise (SFD or semidetached) housing is higher in low-density areas with low accessibility to work and other activities. Neighborhood attributes help determine the type of housing likely to be built in the vicinity. Also, the location of low-rise residential units and planned residential construction is influenced by proximity to major transport corridors in the GTA. The location of condominiums is influenced by proximity to the subway system. Builders are attracted to zones with higher dwelling values, where they can obtain higher values for their products. Spatial inertia in housing markets is presented, which implies that the presence of a certain type of housing attracts more housing of that type to the vicinity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.524

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.110
GPT teacher head0.315
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueTransportation Research Record Journal of the Transportation Research BoardSame topicHousing Market and EconomicsFrench-language works237,207