Exploring the Opinions of Passenger Rail Riders: Evidence From the Hoosier State Train
Notice bibliographique
Résumé
Ridership on Midwest passenger rail lines has been steadily increasing over the past two decades. Between 2005 and 2014, there has been a growth of more than 65 percent, much higher than the national average (approximately 30 percent for the same years). Nevertheless, a number of lines have discontinued their services or are in danger of discontinuance. For example, Kentucky Cardinal, operating between Chicago, Illinois and Louisville, Kentucky was discontinued in 2003, and the Three Rivers train, operating between Chicago, Illinois and New York, New York was discontinued in 2005. The Hoosier State train running between Indianapolis, Indiana and Chicago, Illinois would have faced the same fate recently, if not for the financial support that the state and communities have been providing since 2013. As of October 1, 2013, the State of Indiana, local communities, and Amtrak reached an agreement to support the Hoosier State line for the following fiscal year (2013–2014), and the agreement has continued ever since. In the meantime, the Indiana Department of Transportation (INDOT) was the first nationally to announce a Request for Proposals to seek competing solutions from independent providers, as allowed by the Passenger Rail Investment and Improvement Act of 2008 (PRIIA), in order to obtain private-sector competitive bids for the operation of the Hoosier State train. Recently, after many unfruitful attempts and many obstacles, INDOT reached an agreement with Iowa Pacific Holdings. The company has been providing the locomotives for the line since August 2015, and collaborates with Amtrak to keep the train in service, with a shared vision to increase service frequency, improve speed and maintain a reliable schedule, and provide better on-board amenities. However, to ensure the financial viability of the system and support any improvement or expansion, an increase in ridership is necessary. To achieve this, it is essential that we understand the opinions of Indiana residents, passengers of the Hoosier State train, and advocates of the line towards passenger rail. This paper presents the results of a survey that was conducted on board the Hoosier State train to solicit information pertaining to the perceived ease of use and usefulness of the passenger rail services, riders’ opinions, and other factors that might affect behavior toward passenger rail transportation, as well as factors that affect an individual’s mode choice in general, such as habitual automobile behavior, or external impedance factors like schedule and route restrictions. The survey was endorsed by INDOT and approved by Amtrak and Iowa Pacific Holdings. In addition, this paper presents how opinions toward passenger rail differ among different groups based on socioeconomic and demographic characteristics, familiarity with passenger rail transportation in general and the Hoosier State train specifically, and usage. Furthermore, in order to prioritize service improvements that can foster an increase in the Hoosier State ridership, this paper explores mode choice decisions through the use of a multi-attribute attitude model. The results of this paper can guide policy and planning decision making that aims to foster an increase in passenger rail ridership through a mode shift from personal automobiles and competing mass transportation systems, such as airlines and intercity buses.
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 | 0,000 | 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 | 0,002 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».