Community knowledge towards electric vehicles and policy part II: A pilot study of Edmonton Height underserved neighborhood in Huntsville, Alabama
Notice bibliographique
Résumé
Introduction: Electric Vehicles (EV) are fast emerging globally as a viable alternative to traditional fossil fuel burning cars and are now being presented as a resolution for the problem of dependence of fossil fuels, increasing emissions, and other environmental issues. Purpose and Objective: The study explores the neighborhood knowledge toward green mobility and the objective of this paper is to investigate and examine neighborhood perceptions and understand their knowledge towards the electric vehicle. The research paper goal necessitated the knowledge of the underserved community towards green mobility. Methods: Following the literature review research phase, the researcher conducted several semi structured interviews with underserved community. To best augment the quantitative, data were gathered from underserved Edmonton Height community, through the design of questionnaire survey. Data collection took place during the last two weeks of October 2018. Neighborhood households were approached during the day and evening in their residents using a structured questionnaire. Results: The analysis reveals that that 60% of the respondents not aware of plug-in EV incentives (such as tax credit, rebate, high occupancy lane access, reduced tolls, lower vehicle registration rates, or discounted electricity rates) offered by the federal government; their state government; local community; their electricity provider; their employer, while 10% indicated federal government and 10% local community and 5% indicated electric providers, 5% employers and 5% state government. However, the pilot results are a useful estimate of the number of households residents residing in Edmonton Heights don’t know that plug-in EVs can be recharged from a regular home outlet. Conclusion: The paper concludes that the progress that the electric vehicle industry has seen in recent years is not only extremely welcomed, but highly necessary considering the increasing global greenhouse gas levels and it should be noted that a range of technology options is being aggressively explored to facilitate the transition to a more sustainable transport system. Near term, technologies such as EVs can provide sustainable mobility and help alleviate some of the problems created by conventional vehicle powered by fossil fuels. Notwithstanding, the pilot results are a useful estimate of the number of households residents residing in Edmonton Heights don’t know that plug-in EVs can be recharged from a regular home outlet.
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 distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».