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Putting the Brakes on Crude Oil Train Regulation

2019· article· en· W7033371427 sur OpenAlexaboutno aff

Notice bibliographique

RevueeYLS (Yale Law School) · 2019
Typearticle
Langueen
DomaineHealth Professions
ThématiqueNoise Effects and Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAir brakeTrainLegislationBrakeClean Air ActCrude oilFreight trains
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In 2013, a runaway crude oil train derailed and exploded in the center of Lac-Megantic, Quebec, killing 47 people. Similar derailments of crude oil trains occurred in North Dakota in 2013 and Oregon in 2016. Despite federal legislation demanding improved rail safety, safety experts charge that a recent policy change adopted by the Trump Administration will leave the public exposed to the dangers of rail accidents. The U.S. Department of Transportation’s Pipeline and Hazardous Materials Safety Administration (PHMSA) last fall announced that it had rescinded a mandate on installing electronically controlled pneumatic brakes (ECP). After completing a study required by the Fixing America’s Surface Transportation Act (FAST Act) of 2015, PHMSA stated that “the expected costs of requiring ECP brakes would be significantly higher than the expected benefits of the requirement,” although railroads are still free to install ECP brakes should they wish. Recent reporting by the Associated Press that PHMSA’s analysis underestimated the benefits of requiring ECP brakes has reinvigorated the debate over the Trump Administration’s rule rescission. ECP brakes offer many benefits compared to traditional air brakes, according to a 2006 Federal Railroad Administration report. Air brakes require each freight car to brake “individually, at the speed of the air pressure moving from car to car, along trains that are often well over a mile in length.” The ECP brake system, by contrast, allows engineers to apply brakes simultaneously on all train cars, allowing for quicker stops than with air brakes. ECP brakes also provide engineers with better control over their trains and lower risk of derailment or broken couplings between cars, according to the Federal Railroad Administration. Since less time is spent braking, engineers can operate trains at top speeds for longer, increasing fuel efficiency and decreasing emissions. ECP brakes can even self-diagnose for maintenance issues, allowing freight trains to make longer trips without stopping for brake inspections. PHMSA released its analysis of the viability of mandating ECP brakes in 2017, and pointed to the Australian freight rail system as a useful comparison. Australia has widely adopted ECP brake systems on its freight railroads with positive results. A report from the Australian Department of Resources, Energy and Tourism—now part of the Department of Industry, Innovation and Science—notes fuel savings of 4 percent to 11 percent on trains with ECP brakes. PHMSA’s analysis, however, identifies several obstacles to installing these brakes present in the United States, but not in Australia. In addition to lower projected benefits, PHMSA noted that freight cars in the United States are owned by shippers, not by the railroads. Furthermore, North American railroads are already engaged in the costly process of installing positive train control—an automated system for safely controlling train movement—across their systems. The Australian report also highlights the costs of implementing an ECP brake system. Each tank car costs about $5,600 to retrofit, and the cars are out of service during this process. To realize the full benefits of ECP brakes, the approximately 415,000 tank cars in service in the United States would require upgrades, and railroads would have to train their employees to use the new system. Hundreds of freight locomotives would require retrofitting as well. According to PHMSA’s analysis, the costs of installing ECP brakes would outweigh the expected benefits. Over a 20-year period, PHMSA estimates the costs to range from $427.3 million to $554.8 million. PHMSA’s calculations for total benefits, however, range from $257.5 million to $374 million. PHMSA also notes that crude oil movements by rail are difficult to forecast in the long run. North American railroads carried over 380 million barrels worth of crude oil in 2014, but by 2017 the volume was down to about 140 million barrels. PHMSA projects that crude oil traffic will rebound and eventually surpass 2014 levels, but even this optimistic forecast does not provide enough benefit to justify ECP brakes, the agency says. In the wake of the Lac-Megantic incident, PHMSA authorized other specifications for tank cars in addition to ECP brakes, in accordance with the FAST Act. These regulations also established a schedule for retrofitting older cars to make them more fire-resistant. PHMSA now requires thermal protection systems on tank cars, along with metal jackets to protect these systems. PHMSA rules also specify weight limits and thickness of the car bodies. Although mandatory ECP brakes for crude oil trains are off the table for the moment, PHMSA stated that its rescission of the rule “does not affect the ability of a railroad to implement ECP brakes” themselves. Railroads will still have to implement PHMSA’s other measures to improve safety on their trains, and the option of ECP brakes remains available if railroads wish to pursue it.

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)0,015
score de la tête « metaresearch » (Gemma)0,039
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,197
Score d'incertitude au seuil0,391

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0150,039
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0020,001
Études des sciences et des technologies0,0080,013
Communication savante0,0110,007
Science ouverte0,0040,006
Intégrité de la recherche0,0210,026
Charge utile insuffisante (le modèle a refusé de juger)0,0130,007

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 Opus0,025
Tête enseignante GPT0,329
Écart entre enseignants0,304 · 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'étudeSans objet
Domainenon disponible
GenreCommentaire

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
Publié2019
Routes d'admission1
Résumé présentoui

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