United States Department of Transportation
i
Supplementing Fixed-Route Transit With Dynamic Shared Mobility Services: A Marginal Cost Comparison Approach [Supporting Dataset]
-
2022-01-01
-
By Shen, Qing
Details:
-
Alternative Title:Via to Transit Individual Trip Records
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
DOI:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Final Report
-
Corporate Publisher:
-
Abstract:Transit agencies in the U.S. have shown great interest in the possibility of incorporating on-demand shared mobility modes into their transit services. However, the cost-effectiveness of on-demand modes has not been clearly demonstrated, and there is no effective method for transit agencies to compare the costs of different service options. This study developed an innovative, economic-theory-based framework that appropriately conceptualizes the economic costs of incorporating on-demand service options into transit. On the basis of a theoretical framework, the study built a simulation model and applied it to evaluate an existing pilot of a transit-supplementing, on-demand mobility service: Via to Transit in the Seattle region. By accounting for both the service provider’s cost and the users’ costs, we obtained a more complete and accurate measure for the cost advantages of offering the on-demand option in comparison to expanding fixed-route transit. The theoretical framework and the simulation model can support the decision-making of public transit agencies as they explore leveraging on-demand shared mobility to supplement traditional transit.
-
Content Notes:National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2023-07-27. This dataset is marked confidential. Researchers who would like to have access to this data will have to get permission as outlined in the dataset's description on Harvard Dataverse.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
