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Record W7075642301

Metropolitan Transportation Institutions : Six Case Studies - Australia, Brazil, Canada, France, Germany, and the United States

2014· other· en· W7075642301 on OpenAlexaboutno aff

Bibliographic record

VenueRePEc: Research Papers in Economics · 2014
Typeother
Languageen
FieldPhysics and Astronomy
TopicTheoretical and Computational Physics
Canadian institutionsnot available
Fundersnot available
KeywordsMetropolitan areaPopulationCity regionUrban planningScale (ratio)Corporate governanceOrder (exchange)Transportation planning
DOInot available

Abstract

fetched live from OpenAlex

Transportation has always played a
\n fundamental role in the formation of cities. Ports evolved
\n where rivers flowed into the ocean or at the confluence of
\n major rivers; sleepy outposts at the junction of major roads
\n became bustling trading hubs. Although this relationship
\n between transportation and development has been evident
\n since the creation of the earliest urban societies, all
\n previous conceptions of the city were made obsolete by the
\n advent of the industrial revolution. The transportation
\n challenges raised by this new city centered on congestion.
\n Early forms of transit provided some relief, but as motor
\n vehicles became common place, existing urban streets were
\n overwhelmed. As roadways were enlarged and expressways
\n constructed, the population of new suburbs expanded and the
\n automobile became the dominant form of transportation in
\n many developed cities. To address issues at this scale,
\n cities and countries around the world have developed new
\n institutions that sit between the scale of local and higher
\n order governments. The example of Boston, presented in the
\n accompanying figure, is illustrative. The city of Boston has
\n a population of 620,000, but its metropolitan area is
\n commonly defined to include 101 cities and towns with 4.5
\n million total residents. An organization known as a
\n Metropolitan Planning Organization (MPO) that covers the
\n territory of all the cities and towns in the region has been
\n created to coordinate planning of major transportation
\n investments. The primary purpose of the current study is to
\n provide an overview of the ways in which systems of
\n metropolitan transportation governance are organized in a
\n six different countries in order that these systems might
\n provide models for World Bank client countries currently
\n developing institutions for managing urban transport
\n problems. The best method for understanding how each of
\n these systems operates is consulting the county case studies
\n provided in the final section. This study is organized as
\n follows. The first section presents an overview of several
\n themes that run through the cases. In the subsequent
\n sections, each case is reviewed individually.

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: none
Teacher disagreement score0.862
Threshold uncertainty score0.807

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 studies0.0000.001
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 head0.019
GPT teacher head0.319
Teacher spread0.300 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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