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Record W2376806263

Integrated Model of Urban Transportation and Land Use

2013· article· en· W2376806263 on OpenAlex
Xie Zhuo-ran

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Inner Mongolia University · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicTransportation Planning and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsBeijingTRIPS architectureSample (material)Monte Carlo methodTransit (satellite)Transport engineeringComputer scienceEconometricsOperations researchGeographyStatisticsEngineeringMathematicsPublic transport
DOInot available

Abstract

fetched live from OpenAlex

A review of integrated urban transportation and land use models from the aspects of research base and basic theory is summarized.Then the new model achievements of Canadian researchers in recent years were described,which is 24 hours agent activity based,disaggregated,dynamic ILUTE model.The 2809 sample data from Beijing Travel Survey in 2008 are used for model validation.Parameters are estimated by Monte Carlo method and genetic algorithm.The results have indicated that the absolute errors between measured values and statistical values of those modes such as auto,transit,bike,walk,taxi and passenger are 0.52%,1.95%,0.77%,0.79%,0.16% and 2.29%,respectively.The model accuracy,with a fitting degree of 0.759,was high.It means the model can describe the choice behavior of trips.At last,a research prospect for localization of these models is put forward..

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.

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)0.000
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 score0.061
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.213
Teacher spread0.195 · 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