Determinants of paratransit feeder service provision using AI-synthesized revealed preference data: a paratransit drivers’ perspective on PT reform using machine learning

Turay, Simeon Stevenson; Adams, Charles Anum; Ababio-Donkor, Augustus

doi:10.1080/03081060.2024.2408427

Transportation Planning and Technology

2024

DOI: 10.1080/03081060.2024.2408427

|View full text |Cite

Determinants of paratransit feeder service provision using AI-synthesized revealed preference data: a paratransit drivers’ perspective on PT reform using machine learning

Simeon Stevenson Turay,

Charles Anum Adams,

Augustus Ababio-Donkor

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2025

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Assessment of paratransit system performance in mixed traffic using a two-stage bootstrap-DEA and ordinary Least Square approach

Turay,

Adams,

Donkor

2025

African Transport Studies

View full text Add to dashboard Cite

Assessment of paratransit system performance in mixed traffic using a two-stage bootstrap-DEA and ordinary Least Square approach

Turay,

Adams,

Donkor

2025

African Transport Studies

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Determinants of paratransit feeder service provision using AI-synthesized revealed preference data: a paratransit drivers’ perspective on PT reform using machine learning

Cited by 1 publication

References 63 publications

Assessment of paratransit system performance in mixed traffic using a two-stage bootstrap-DEA and ordinary Least Square approach

Assessment of paratransit system performance in mixed traffic using a two-stage bootstrap-DEA and ordinary Least Square approach

Contact Info

Product

Resources

About