Promoting Peer-to-Peer Ridesharing Services as Transit System Feeders

Jayakrishnan, R.; Masoud, Neda; Jiangbo, Yu; Nam, Daisik; University of California, Irvine. Institute of Transportation Studies; University of California Center on Economic Competitiveness in Transportation

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

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Promoting Peer-to-Peer Ridesharing Services as Transit System Feeders

2016-05-05
By Jayakrishnan, R. ; Masoud, Neda ; Jiangbo, Yu ; ...

English

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Details:

Creators:

Jayakrishnan, R. ; Masoud, Neda ; Jiangbo, Yu ; Nam, Daisik

Jayakrishnan, R. ; Masoud, Neda ; Jiangbo, Yu ; Nam, Daisik Less -
Corporate Creators:

University of California, Irvine. Institute of Transportation Studies ; University of California Center on Economic Competitiveness in Transportation

University of California, Irvine. Institute of Transportation Studies ; University of California Center on Economic Competitiveness in Transportation Less -
Corporate Contributors:

California. Department of Transportation
Subject/TRT Terms:

[+]

First Mile/Last Mile ITS UC Irvine, LA Metro Ride Line Peer-to-peer (P2P) Ridesharing Peer Groups Real-time Multi-hop Real Time Information Ridership Ridesharing Transit Stations Trip Origins
Publication/ Report Number:

CA 16-2806
Resource Type:

Tech Report
Geographical Coverage:

United States ; California

United States ; California Less -
TRIS Online Accession Number:

1646831
Edition:

Final Report
Corporate Publisher:

California. Department of Transportation
Abstract:

Peer-to-peer ridesharing is a recently emerging travel alternative that can help accommodate the growth in urban travel demand, and alleviate some of the current problems such as excessive vehicular emissions. Prior ridesharing projects suggest that the demand for ridesharing is usually shifted from transit, while its true benefits are obtained only if the demand shifts from private autos. This project studies the potential of efficient real-time ride-matching algorithms to augment demand for transit by reducing private auto use. The Los Angeles Metro red line is considered for a case study, since it has recently shown declining ridership. A mobile application with an innovative ride-matching algorithm is developed as a decision support tool that suggests transit-rideshare and rideshare routes. The app also facilitates peer-to-peer communications of users via smart phones. For successful ride-sharing, strategically selecting locations for individuals to get on/off rideshare vehicles is crucial, along with the pricing structure for rides. These can be adjusted dynamically based on the feedback from the app-users. A parametric study of the application of real-time ride-matching algorithms using simulated demand in conjunction with the SCAG model for the selected study area is conducted
Format:

PDF
Funding:

65A0529 TO 025
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:659eb6b67d902098c3f7925510ea1daf21d4d6b7599120bba424a88105bd767a
Download URL:

https://rosap.ntl.bts.gov/view/dot/39947/dot_39947_DS1.pdf
File Type:

[PDF-2.90 MB]