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Record W4327604770 · doi:10.18280/ijsdp.180233

Competitiveness of Traditional Shipping in Sea Transportation Systems Based on Transport Costs: Evidence from Indonesia

2023· article· en· W4327604770 on OpenAlexvenueno aff
Windra Priatna Humang, Wimpie Agoeng Noegroho Aspar, Dwi Phalita Upahita, Aam Muharam, Ludfi Pratiwi Bowo, Feronika Sekar Puriningsih

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2023
Typearticle
Languageen
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsnot available
FundersUniversitas HasanuddinBadan Riset dan Inovasi Nasional
KeywordsBusinessSea transportTransport engineeringNatural resource economicsEnvironmental planningEnvironmental scienceInternational tradeEconomicsEngineering

Abstract

fetched live from OpenAlex

Traditional shipping vessel is a mode of transportation that is part of Indonesia's cultural heritage and still exists today.However, traditional shipping has been deemed unable to compete with the national shipping fleet due to the high transport cost, the low safety level, long travel times, limited capacity, and limited ship repair facilities.In addition, its existence was eliminated with the advent of modern ships.This study aims to analyse the competitiveness of traditional shipping with national shipping freight based on transportation costs.The analysis used is a gap analysis of transportation costs based on variable costs and fixed costs for every traditional shipping route that overlaps with national shipping.Data were obtained by field observations.The results of the analysis show that the competitiveness of traditional shipping has decreased due to the loss of cargo of national ships.It is necessary to optimize the route by restoring the traditional shipping function as a national shipping feeder, especially in the underdeveloped, remote, outermost, and border (UROaB) areas.This study recommends the integration of the national shipping transportation network as a trunk line and traditional shipping as a feeder line.The shipping integration is expected to form a network pattern and generates increase in the demand for traditional shipping cargo.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.500
Threshold uncertainty score0.371

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 head0.032
GPT teacher head0.242
Teacher spread0.210 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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