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Record W3164866512

Study of Planning and Management of Good Transport in Rural Areas

2020· article· en· W3164866512 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsMinistry of Transportation of Ontario
Fundersnot available
KeywordsRural areaBusinessDistribution (mathematics)Public transportPublic goodEnvironmental planningService (business)Agricultural economicsGeographyEconomic growthTransport engineeringEconomicsEngineeringMarketing
DOInot available

Abstract

fetched live from OpenAlex

The current condition of rural public transport is not planned well, which causes the decreases of the effectiveness and efficiency of the rural area transport system as a whole. Rural area transportation is one of the important public transportation means to support the rural communities’ activities and mobility, and to accelerate the distribution of development results in rural areas. Rural transportation in the National Transportation System plays an important role as the connector from the production center (agriculture, plantations, fisheries, livestock) to the collection center, and/or to the activity center in the capital of regencies. Currently there are 17,504 villages in Indonesia, spreading across 34 provinces, which all have extraordinary potencies if they all can be developed, like in Lombok Tengah Regency, there are 124 villages/urban-villages and Sintang has 173 villages/urban villgaes. The study to plan and manage rural goods transport has the purpose to measure the production and consumption of current goods and to estimate the future condition of rural areas, to identify the distribution and collection of goods in rural areas, to plan the patterns of distribution and collection of goods in rural areas, to identify the current conditions of area rural goods transportation infrastructure and facilities and to estimate future needs, and to optimize rural area goods transport service networks. The result shows that the goods transport services shall be planned and managed immediately taking into account that economic and spatial developments in the region will generate the potency of cargo transport in the future and shall be anticipated as early as possible to create an effective and efficient transportation system. The implementation of policies to regulate goods transportation services shall be carried out in a coordinated and simultaneous manner between all the related parties involved, in which the Transportation Agency as a Leading Sector shall be able to make public-oriented policies extensively.

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 score0.014
Threshold uncertainty score0.261

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 head0.017
GPT teacher head0.207
Teacher spread0.191 · 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

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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