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Record W2806220934 · doi:10.11159/iccste18.143

Transit Oriented Development, an Update about EU and US Approach

2018· article· en· W2806220934 on OpenAlexvenueno aff
Anna Laura Petrucci

Bibliographic record

VenueProceedings of the International Conference on Civil, Structural and Transportation Engineering · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

After 25 years from its first formulation, Transit Oriented Development (T.O.D.) is going to be applied in several metropolis of east and middle east, where new metro lines are under implementation; for some of those the public transportation is arriving for the first time, or is going to be massively implemented, as in Saudi Arabia. Beside developing infrastructures for public transportation, the new metro projects are going to bring a new improvement in the urban structure, from a mono-centric and autooriented, into a pedestrian-friendly and transit-oriented metropolis. The success of the new Metro will pass by the successful development of the involved districts as T.O.D. neighbourhoods. This is going to be successful only working by procedural strategies on strongly integrated methodologies for analysis, design, maintenance as post production and the management of the whole process, before than just going for the usual planning and urban or architectural design projects. Starting from the guidelines of Transit Oriented Development Institutes and the several case studies in the USA, the research will extend into the most successful urban development strategies in Europe, through direct experience and monitoring of the results for the selected projects within the last 15 years.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.941
Threshold uncertainty score0.425

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 communication0.0000.000
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 head0.042
GPT teacher head0.228
Teacher spread0.186 · 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 designTheoretical or conceptual
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

Citations2
Published2018
Admission routes1
Has abstractyes

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Same venueProceedings of the International Conference on Civil, Structural and Transportation EngineeringSame topicClimate Change Policy and EconomicsFrench-language works237,207