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Record W1992173220 · doi:10.1061/jhtrcq.0000369

Analysis Developing Mechanism of Highways and Transportation Using the Theory of Increasing Returns to Scale against the Background of MFOZ

2014· article· en· W1992173220 on OpenAlexaff
Ying Xu, Mingyuan Yu

Bibliographic record

VenueJournal of Highway and Transportation Research and Development (English Edition) · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Zones and Regional Development
Canadian institutionsMinistry of Transportation of Ontario
Fundersnot available
KeywordsEconomies of agglomerationMechanism (biology)Returns to scaleScale (ratio)Transport engineeringService (business)Economies of scaleBusinessEconomic geographyPublic transportRegional scienceEconomicsEngineeringEconomic growthEconomyProduction (economics)GeographyMarketingMicroeconomics

Abstract

fetched live from OpenAlex

This study aims to analyze the theory mechanism behind MFOZ (main functional areas zone) and investigates MFOZ’s effect on high ways and transportation. This study adopts the classic theory of increasing returns to scale of regional economies, draws lessons from the experience of world cities’ development presented in a World Bank paper, and deconstructs the theory mechanism behind MFOZ and its effect on highways and transportation. MFOZ is a big achievement in spatial planning and territorial development, as through increasing returns to scale, the economic zone will attain more agglomeration and improved area integration. Zones with social and ecological functions through public service equalization will realize regional coordinated development. To respond to MFOZ’s requirements, the economic zone should develop and realize transportation integration, while in the limited development zone and prohibited zone, we should realize equal transport service.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.808
Threshold uncertainty score0.345

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.053
GPT teacher head0.261
Teacher spread0.208 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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