The Role of Transit in the Upward Mobility of Low-Income Indianapolis Residents
Notice bibliographique
Résumé
This study examines the extent to which transit may be able to assist with the upward mobility of low-income groups, specifically those making less than a living wage. Previous studies relating to job accessibility have examined the feasibility of reaching jobs using various modes of transportation, and some have factored educational requirements into the attainability of those jobs. However, no studies thus far have attempted to determine transit accessibility to jobs that can facilitate and enable upward mobility for low-income households. Employment data relevant to the labor force of Marion County, Indiana, is used to determine the earnings (mainly wages or salaries) associated with occupations, and which occupations require no more than a high school education. Those occupations are then paired with the various industries they are found in, and the earnings belonging to the industry’s highest-earning occupation is associated with that industry. The median household incomes of low-income Census block groups (CBGs) are then compared to the earnings of each transit-accessible industry to evaluate whether those earnings are large enough to induce upward mobility for those living in the CBGs. Bus routes and bus stops for the local transit system (IndyGo) along with workplace locations are mapped in ArcGIS to assess the low-income population’s accessibility to workplaces belonging to a select group of industries. Bus routes that serve both downtown Indianapolis and low-income CBGs were found to provide people living in those CBGs with access to some of the most lucrative jobs, particularly those found in the <i>Finance and Insurance</i> industries. Over half of Indianapolis’ transit-accessible industries have earnings amounts large enough to induce upward mobility for those living in all the low-income CBGs; this corresponds to 6,748 unique workplaces. Findings from this study suggest that low-income people would benefit from having access to transit routes that serve downtowns and other areas with high concentrations of white-collar jobs. Low-income Indianapolis residents informed of this study’s results may be motivated to explore the possibilities for better-paying jobs accessible to them by transit. Furthermore, methods used in this study can help in ranking different transit routes for accessibility to workplaces conducive to upward mobility. The rankings can be updated periodically to assist in addressing equity goals for transit planning.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 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 ».