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Enregistrement W2412091741 · doi:10.14288/1.0096009

A benefit/cost analysis of reconstructing the Alaska highway to R.A.U. 100 status

2010· article· en· W2412091741 sur OpenAlexaboutno aff
Kevin Richard Christofferson

Notice bibliographique

RevuecIRcle (University of British Columbia) · 2010
Typearticle
Langueen
DomaineEngineering
ThématiqueInfrastructure Maintenance and Monitoring
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGeographyEnvironmental planningRegional science

Résumé

récupéré en direct d'OpenAlex

The Alaska Highway, conceived and constructed in the early 1940's as a strategic military link and supply route, now serves primarily as a tourism and commercial highway. Alignments and surface quality today are dramatically superior relative to those characteristic of the original military highway. However, vast distances of surface treated roadbed remain which can only be described as substandard in comparison to most other rural Canadian highways. Low grade surfaces and roadbeds not only act as a deterrent to traffic but add to vehicle operating costs, user time consumption, the level of occupant discomfort, etc., and result in high levels of highway maintenance efforts being incurred. This thesis analyses the impact on Canadians of reconstructing that section of the Alaska Highway which lies within Canada's political boundaries to R.A.U. 100 status (Rural Arterial Undivided - 100 kph design speed; as defined by the American Association of State Highway Officials). Three traffic growth scenarios are developed, disaggregated by traffic category (tourism, commercial, local) and by whether it is normal, diverted, or newly generated. Volume projections, particularly those associated with generated tourism traffic, are subject to fairly high levels of uncertainty. However, the three growth scenarios are sufficiently wide in range that it should be considered highly improbable if actual volumes realized throughout the 20 year study time horizon should fall outside this range. Reconstruction of the Alaska Highway will generated a variety of indirect costs and benefits, only some of which can be reasonably quantified. Attempts are made to attach a dollar value to those considered quantifiable while others, such as impacts on native culture and the environment are merely listed and their valuation left to the discretion of the decisionmaker. Reconstruction costs and incremental highway maintenance savings are determined and then modified to reflect the high levels of unemployed and underemployed resources present in Canada's currently depressed economy. Savings to highway users accrue in eight distinct resource categories. Prices in some of these categories, such as comfort, non-commercial time, and accident costs, are not easily established. However estimates are derived and the inputs then analysed with respect to: - the impact on NPV's and B/C ratios if input values are changed by an arbitrary 10% - the relative uncertainty inherent in each of the user resource categories Similarly, estimates are derived for the per vehicle-kilometer consumption of each resource, before and after highway reconstruction. These are also examined for their potential impact on quantitative results. Inputs with which NPV's and B/C ratios are very sensitive are highlighted. A fortran program is developed for the purpose of calculating NPV's and B/C ratios for each of the growth rate scenarios and for discount rates ranging between 5% and 15% (1% intervals). In addition, the output lists user savings, disaggregated by resource category and by vehicle type for a discount rate of 10%. Quantitative results are calculated and discussed for each of 5 scenarios. These scenarios differ in their assumptions related to: - the approach to shadow pricing reconstruction costs, highway maintenance, and commercial time - the extent of funding support from the United States - inclusion or exclusion of user benefits which accrue to non-Canadians Results indicate that 84% of total benefits are in the form of reduced vehicle operating costs, time savings, and enhanced comfort. More than one-half of these savings accrue to the tourism traffic categegory. Time and fuel savings are the most significant user resource categories, together representing 40% of total user savings. In four of five scenarios considered, results indicate that the project is definitely quantifiably beneficial to Canada. One scenario, in which reconstruction costs and commercial time are not shadow-priced, and benefits to non-Canadians are excluded, indicates that the project is probably beneficial. However, in this case, further research into relative time and fuel consumption, before and after reconstruction, is warranted prior to the project's acceptance or rejection. In each case, the decision-maker must consider indirect impacts in conjunction with quantitative results prior to a final decision being made.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,692
Score d'incertitude au seuil0,613

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,004
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,005
Tête enseignante GPT0,167
Écart entre enseignants0,163 · 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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

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
Publié2010
Routes d'admission1
Résumé présentoui

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