If Pooling With a Discount Were Available for the Last Solo-Ridehailing Trip, How Much Additional Travel Time Would Users Have Accepted and for Which Types of Trips?

Lee, Yongsung; Circella, Giovanni; Chen, Grace; Kim, Ilsu; Mokhtarian, Patricia L.; Georgia Institute of Technology; University of Hong Kong; University of California, Davis. Institute of Transportation Studies; National Center for Sustainable Transportation (NCST)

doi:10.7922/G2QR4VF3

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If Pooling With a Discount Were Available for the Last Solo-Ridehailing Trip, How Much Additional Travel Time Would Users Have Accepted and for Which Types of Trips?

2024-01-01
By Lee, Yongsung ; Circella, Giovanni ; Chen, Grace ; ...

[PDF-739.44 KB]

English

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Creators:

Lee, Yongsung ; Circella, Giovanni ; Chen, Grace ; Kim, Ilsu ; Mokhtarian, Patricia L.

Lee, Yongsung ; Circella, Giovanni ; Chen, Grace ; Kim, Ilsu ; Mokhtarian, Patricia L. Less -
Corporate Creators:

Georgia Institute of Technology ; University of Hong Kong ; University of California, Davis. Institute of Transportation Studies ; National Center for Sustainable Transportation (NCST)

Georgia Institute of Technology ; University of Hong Kong ; University of California, Davis. Institute of Transportation Studies ; National Center for Sustainable Transportation (NCST) Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Attitudes Carpools Choice Models Discount Fares Environmental Impacts Latent-class Choice Model Pooled Ridehailing Ridesharing Ridesourcing Shared Mobility Stated Preferences Surveys Taste Heterogeneity Travel Behavior Travel Time
Publication/ Report Number:

NCST-GT-RR-24-01
DOI:

https://doi.org/10.7922/G2QR4VF3
Resource Type:

Tech Report
Geographical Coverage:

Southern States ; United States

Southern States ; United States Less -
Edition:

Final Report (January 2020 – November 2021)
Corporate Publisher:

National Center for Sustainable Transportation (NCST) (UTC)
Abstract:

Pooled trips in private vehicles, or pooling, can lead to smaller environmental impacts and more efficient use of the limited roadway capacity, especially during peak hours. However, pooling has not been well adopted in part because of difficulties in coordinating schedules among various travelers and the lack of flexibility to changes in schedules and locations. In the meantime, ridehailing (RH) provides pooled services at a discounted fare (compared to the single-travel-party option) via advanced information and communication technology. This study examines individuals’ preferences for/against pooled RH services using information collected among travelers answering a set of questions related to their last RH trip. In doing so, both trip attributes and rider characteristics are considered. Taste heterogeneity is modeled in a way that assumes the presence of unobserved groups (i.e., latent classes), each with unique preferences, in a given sample of RH riders (N=1,190) recruited in four metropolitan regions in Southern U.S. cities from June 2019 to March 2020. The researchers find two latent classes with qualitatively different preferences, choosy poolers and non-selective poolers, regarding their choice in favor of/against pooling based on wait time, travel costs, purpose, and travel party size of the last RH trip. Personal characteristics are also identified, specifically age and three attitudes (travel satisfaction, environmentalism, and travel multitasking), which account for individuals’ class membership. This research contributes to the literature by explicitly modeling taste heterogeneity towards pooled ridehailing. In addition, unlike existing studies either at the person level or employing stated-preference data, a trip-level analysis is performed in connection with revealed preferences, which generates more realistic and relevant implications to policy and practice.
Format:

PDF
Funding:

USDOT Grant 69A3551747114
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:48cd13ebe75513faa05045b736d0eb9786d483f32c31a7ec4cfd9b825763fbc8
Download URL:

https://rosap.ntl.bts.gov/view/dot/73134/dot_73134_DS1.pdf
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If Pooling With a Discount Were Available for the Last Solo-Ridehailing Trip, How Much Additional Travel Time Would Users Have Accepted and for Which Types of Trips?

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