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Enregistrement W4214606128 · doi:10.1353/sgo.2022.0000

Electric Vehicles Are Coming: Are Charging Stations in North Carolina a Harbinger of this Change?

2022· article· en· W4214606128 sur OpenAlex
Gregory J. Carlton

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Notice bibliographique

RevueSoutheastern geographer · 2022
Typearticle
Langueen
DomaineEngineering
ThématiqueElectric Vehicles and Infrastructure
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésElectrificationElectric lightQuarter (Canadian coin)Investment (military)Agricultural economicsEngineeringBusinessAdvertisingGeographyElectricityPolitical scienceEconomicsPoliticsElectrical engineeringArchaeology

Résumé

récupéré en direct d'OpenAlex

Electric Vehicles Are ComingAre Charging Stations in North Carolina a Harbinger of this Change? Gregory J. Carlton (bio) Electric Vehicles (EVs) are no longer solely a coffee table conversation topic in affluent households, they are becoming relevant throughout society and could foreshadow a transitional change into a new American lifestyle in the next decade. With increasing investment in EVs from well-known automobile manufacturers including Tesla, Ford, BMW, and Mercedes, and from emerging companies (e.g., Byton, Lordstown), the average price for an EV is dropping and sales are rising. In North Carolina, there were 12,566 registered EVs in June 2020, and that number increased to 19,752 by June 2021; this represents a 36 percent year-over-year increase (NCDOT 2021). While Wake County (home to Raleigh) has the highest number of registered EVs in North Carolina, Guilford County (Greensboro) ranks 5th with 813 registered EVs. With this increase in EV sales, NC is preparing to establish multiple vehicle-charging corridors and more charging infrastructure over the next decade. This may be an important step towards electrification, as evidence suggests that consumer interest in EVs increases as they are exposed to charging stations at multiple locations in their community (Bailey et al. 2015) and through having social connections to people who own EVs (Fleming 2018). Glowing a neon-green hue, the EV charging station at Greensboro's South Side Walmart (cover photo) beckons customers to recharge their vehicles while they shop at their leisure. Since it can take a significant amount of time to charge an EV, especially using Level I or II chargers that have slow currents between 16 and 32 amps (Savari et al. 2020), placing charging facilities near activities such as either shopping or dining is a common practice (Huang et al. 2016). What is uncommon about this particular station is both its size and its location. Most charging stations in the Piedmont region of North Carolina are proximate to "higher-end" establishments such as golf courses, lifestyle malls, downtown shopping districts, and upscale retailers (Figure 1). These charging stations also tend to be small, offering two or three charge points, while the Walmart charging station offers sixteen. Charging stations of this large size are comparable to a typical gas station in terms of refueling ability, and its location at a discount supermarket in a working-class area of the city indicates its possible appeal to a wider subset of society. Just as there are many gas station and convenience store brands in the United States, there are also many operators of charging stations. The charging station at the South [End Page 1] Click for larger view View full resolution Figure 1. (From Top Left to Bottom Right) Examples of typical charging stations in the Piedmont Area of North Carolina. Charging stations tend to be small and are often located proximate to high-end amenities. Photo A is a ChargePoint charging station located at a food cooperative near the CBD of Greensboro. Photo B is a charging station associated with an upscale industrial conversion project in downtown Winston-Salem. Photo C shows an EV being charged near the historic city center of Apex. Photo D is of a ChargePoint station placed on a golf course in High Point. This station was sited as part of a partnership with the state. Greensboro Walmart is operated by Electrify America, a subsidiary of Volkswagen, which leases spaces from retailers to build its stations (Leung and Peace 2020). The Electrify America charging stations are unique as they are part of a legal settlement made with federal regulators to supply $2 billion USD worth of charging to consumers following an emissions cheating scandal (Reck 2020). Other industry leaders include ChargePoint, which has the largest market share of charging stations in the United States (Brown et al. 2020), and Tesla's Supercharger and Destination Charging Networks, which are geared towards Tesla owners. [End Page 2] Some might see the charging station at Greensboro's Walmart as unremarkable, but this development portends a remarkable change that may soon upend life in the American South. While current EV adoption and marketing trends favor society's wealthy "kinetic elites" (Henderson 2020), a...

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.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,851

Scores Codex et Gemma par catégorie

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

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 Opus0,012
Tête enseignante GPT0,198
Écart entre enseignants0,186 · 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