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New Federal Guidance Issued on Public-Private Toll Roads

2014· article· en· W6983682074 sur OpenAlexaboutno aff

Notice bibliographique

RevueeYLS (Yale Law School) · 2014
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiquePublic-Private Partnership Projects
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTollGeneral partnershipToll roadPublic–private partnershipPrivate sectorOrder (exchange)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The private operator of a toll road in Indiana recently filed for bankruptcy, “the latest example of a private investment in public infrastructure that failed to meet expectations,” according to a report in the Wall Street Journal. Still, as transportation infrastructure in the United States continues to deteriorate, public-private partnerships are becoming more and more common. To combat toll road failures, the U.S. Department of Transportation’s Federal Highway Administration issued a contract guide for state and local agencies pursuing toll road projects in partnership with private entities. The guide presents a model for structuring public-private partnerships in U.S. highway development projects. It states that the public entity “may establish a series of limitations” on the private entity’s tolling rights in order to “address important public policy objectives” and properly allocate risk. If, in a highway project, the partnership decides that the private entity should bear the economic risk of whether the highway is actually used (also known as “user demand”), the partnership may develop a toll road concession contract. Toll road concession contracts are agreements that provide private partners with the right to establish and enforce tolls in exchange for constructing and financing a road. Given the diversity of public-private projects within the transportation sector, “a set of prescriptive, standardized contracts for use in public-private transactions would not be acceptable or desirable” to all state and local agencies. Therefore, the guide aims to serve “as an educational reference” for agencies looking to form public-private partnerships. The guide says that toll rates “are generally determined by an algorithm agreed upon by the [private entity] and the [government agency].” Further, the guide suggests that the private party should be subject to “little restriction” on setting toll rates because the private party often bears the risk of a drop in user demand. In practice, however, because toll road projects directly impact the public, private and public partners must compromise. In part, toll rates might depend on consumer demand because the private entity may rely on toll revenue to build, maintain, and expand the project in accordance with use. However, since toll rates can come under public scrutiny, like when commuters argue that the tolls adversely affect low-income drivers, the public entity should maintain some type of veto power over the toll rate, according to the guide. Additionally, the guide points out that the public entity may want to exempt certain vehicles from having to pay tolls. For example, lawmakers may wish to exempt ambulances, police cars, and fire trucks from toll fees. Or, they may want to promote fuel efficiency and traffic congestion relief by exempting commuter buses and taxis. Some states, like Florida and Georgia, have attempted to promote carpooling by providing registered carpool vehicles with a toll exemption or discount. The guide also states that public entities should generally reserve the right to suspend tolling collection, despite its impact on the private entity. During Hurricane Sandy, for example, region-wide tolls were suspended to speed up public evacuation. However, public entities were not liable for private toll revenue loss. That does not mean that public entities can always escape liability. In the Hurricane Sandy example, if the toll exemption covers other toll roads that are not similarly affected by the need for speedy evacuation, the public entity may be liable for the private entity’s toll revenue losses. Ensuring that public-private partnerships prioritize the public welfare requires a difficult balancing act. When allocating risk and reward, the guide states that toll road agreements must “leave enough incentive for the [private entity] to perform at the highest levels.” However, the guide also attempts to leave space for public partners to maintain certain rights to ensure that the public good—both specifically, as in the physical public road, and more generally, as in equal and just access to that road—is rightly delivered. While the guide provides a model for state and local governments considering public-private partnerships, exactly what those contracts should look like, and thus what the balancing act should entail, is a matter of debate. The debate about balancing interests is likely to permeate other sectors, as well. Public-private partnerships form in a range of critical public sectors around the world, such as water, waste management, and education, and are no stranger to critique. Recent research from the University of Toronto highlighted flaws in how governments assess the benefits of public-private projects as opposed to more conventional projects. Nevertheless, some scholars argue that the U.S. is fertile ground for an emerging public-private partnership market.

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)0,007
score de la tête « metaresearch » (Gemma)0,014
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: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,278
Score d'incertitude au seuil0,553

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,014
Méta-épidémiologie (sens strict)0,0010,002
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0060,002
Communication savante0,0060,005
Science ouverte0,0030,003
Intégrité de la recherche0,0170,008
Charge utile insuffisante (le modèle a refusé de juger)0,0670,034

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 Opus0,028
Tête enseignante GPT0,255
Écart entre enseignants0,227 · 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
Publié2014
Routes d'admission1
Résumé présentoui

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