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Enregistrement W3119638669 · doi:10.11575/prism/30165

A Social Cost-Benefit Analysis of the Calgary-Edmonton High Speed Rail Project

2014· article· en· W3119638669 sur OpenAlexaboutno aff
Brandeis Tilleman

Notice bibliographique

RevuePRISM (University of Calgary) · 2014
Typearticle
Langueen
DomaineEngineering
ThématiqueUnderground infrastructure and sustainability
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTransport engineeringBusinessOperations managementEngineering

Résumé

récupéré en direct d'OpenAlex

In this capstone project I address a transportation issue of importance to the future of economic development in Alberta. A high-speed rail transit system linking the Calgary-Edmonton corridor has been proposed in Alberta as an effective method to foster and accommodate economic development. However, because of the very large initial cost, public investment is almost seen as being required in order for it to be financially viable. In order to justify billions of taxpayer dollars, a high-speed rail project must be found to produce a net social benefit. High-speed rail has the potential to greatly improve the efficiency of transportation in Alberta. The link between Calgary and Edmonton is a crucial one to the success of Alberta's economy. With a high speed rail system, the goal is for Albertans to be able to increase the speed of transportation and at a reduced cost. If this outcome was realized, it would inevitably enhance future development and augment economic growth. There exists detailed information on high-speed rail in Alberta. It provides reasonably reliable estimates of costs of the project, and how much revenue it can generate. It is also well-known from literature that external benefits, both on the demand side and supply side of high-speed rail, come in many forms and are not just marginal. The components of the project have undergone extensive analyses, but there has only been one cost-benefit analysis to evaluate the net benefit of high-speed rail to Alberta. Recently, the Government of Alberta summoned a committee to investigate high-speed rail further. However, they decided against the results of the analyses to go through with the project immediately. Their recommendations were primarily based on public submissions and oral reports as opposed to more heavily relying on evidence. Because of the major economic impact that it can have on Alberta, and because most of the analyses have portrayed a likely positive result, it was beneficial to conduct another cost-benefit analysis. This one provided an even more updated and thorough estimate of the viability of highspeed rail in Alberta, because it included updated cost, revenue, and external benefit figures as of 2013. The results of this cost-benefit analysis are in accordance with other analyses, especially with respect to the typically used 5% nominal discount rate and it is estimated that high-speed rail will almost certainly provide a positive net benefit to Albertans, and thereby will assist with the province's economic development. What has been determined from the research conducted in this capstone is that the Government of Alberta should begin preparation for a high-speed rail system in Alberta in the future by determining which high-speed train will benefit Alberta the most, by gathering the necessary land titles for the project, by launching public consultations with any affected First Nation's land, and by launching a campaign in Alberta to inform the public of the benefits of high-speed rail and garner support for the project. It would also be wise to conduct further sensitivity analysis as it plays a pivotal role in the feasibility of the project, as well as a comparative analysis designed to determine if any other avenues under the umbrella of government accountability need the funds instead.

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)0,004
score de la tête « metaresearch » (Gemma)0,006
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 enseignants0,808
Score d'incertitude au seuil0,382

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,006
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0030,002
Études des sciences et des technologies0,0010,002
Communication savante0,0030,001
Science ouverte0,0020,002
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0090,000

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 Opus0,006
Tête enseignante GPT0,188
Écart entre enseignants0,181 · 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
Publié2014
Routes d'admission1
Résumé présentoui

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