Document Type
Technical Report
Publication Date
5-7-2024
Keywords
Carpooling, parking, ridesharing, optimization, ride-matching
Digital Object Identifier (DOI)
https://doi.org/10.5038/CUTR-NICR-Y3-2-10
Abstract
A new travel demand management (TDM) strategy is proposed that integrates ride-matching and parking management to tackle traffic congestion and air pollution problems that arise when the demand for parking spaces exceeds parking supply. The proposed strategy implements a centralized system that assigns parking spaces, free of out-of-pocket costs, according to users’ reservation requests, users’ travel schedules, and available parking supply. Concurrent to the parking assignment process, the system coordinates carpools by finding minimum travel cost matches between drivers whose parking requests were accepted and system participants that require transportation. This report presents an optimization model for the implementation of the proposed Parking Allocation-Ride-Sharing (PARS) system, an analysis of survey participant’s perception of the strategy, and a discussion of a proof-of-concept application of the PARS system at the University of Puerto Rico at Mayagüez.
Scholar Commons Citation
Rodriguez-Roman, Daniel; Colón, Héctor Carlo; Santiago, Nayda G.; Figueroa Medina, Alberto M.; Chen, Peng; and Tao, Ran, "Carpool-Based Parking Assignment Policy" (2024). Research Reports. 37.
https://digitalcommons.usf.edu/cutr_nicr/37
Policy brief
