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Enregistrement W7002332417

Network Management of Low Volume Local Roads in NSW

2018· other· en· W7002332417 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity of Southern Queensland ePrints (University of Southern Queensland) · 2018
Typeother
Langueen
DomaineComputer Science
ThématiqueData Analysis with R
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBenchmarkingShireBest practiceResilience (materials science)Current (fluid)Quarter (Canadian coin)Local authorityCommission
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Low Volume Roads (LVRs) make up a significant component of the road network in New South Wales. However, with less traffic volumes these roads are often treated lower in priority. Limited funding combined with many issues afflicting local governments in NSW has led to a substantial annual funding gap for this part of the road network. This funding gap and the overall ageing road network in NSW has meant that innovative and best practice network management strategies must be adopted to ensure the safety, productivity, social equity, sustainability, and resilience of these LVRs.
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\nThis paper investigated the current strategies being used in NSW to manage LVR networks and makes recommendations for improved best practices. This includes both sealed and unsealed LVRs with a focus on those strategies used by local councils in rural and regional NSW. After reviewing the current literature, this study examined the strategies used by Eurobodalla Shire Council (ESC) as a case study. Then the practices adopted by other organisations were investigated by using a survey that was participated in by 38 different local governments, including over one quarter of all NSW councils. The research found that enhancements to the current practices were possible with nineteen different recommendations for improvement. Also, a further eight specific recommendations were made to enhance ESC’s current practices after benchmarking these against other organisations.
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\nThe study was successful in determining definitions for both sealed and unsealed LVRs in NSW. This was important as there was a wide variation in definitions found within the literature. The research also identified ways to improve the level of service provided by LVR networks, planning, design, and construction practices as well as lifecycle management and renewal strategies. It was found that further information specifically relating to LVRs needs to be collected, recorded, and made accessible to asset managers in a formal system so that key renewal decisions backed by sound evidence can be made. Also, it was found that further awareness of the specific guidelines covering LVRs in NSW is required. It was determined that there was a significant opportunity to increase the level of road safety reviews or audits undertaken on LVRs. This research verified that inadequate funding and an ageing road network were the largest perceived challenges facing the management of LVRs in NSW. Leveraging state and federal grants, ensuring new LVRs meet future traffic demands, and continuing to investigate best practices for asset management and preservation were found to be the most successful strategies to deal with these challenges.
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\nRecommendations were made to ESC’s current practices in relation to the inspection frequency and renewal works for its unsealed LVRs and its adopted design life for various LVR asset components. Additionally, it is recommended that ESC should continue to monitor, review, and benchmark its practices against the best practices performed by other organisations and this should be done on a routine basis to ensure its network management strategies continue to denote best practice.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,640
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0030,002
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,007
Tête enseignante GPT0,172
Écart entre enseignants0,165 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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