A continuous approximation model for the design of park-and-ride systems

Authors
Amaral, Julia
ORCID
https://orcid.org/0000-0001-8522-449X
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Other Contributors
Wang, Cara
Barbieri da Cunha, Claudio
Reilly, John, M
He, Sean
Souyris, Sebastian
Holguin-Veras, Jose
Issue Date
2023-08
Keywords
Civil engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute (RPI), Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
Park-and-Ride (P&R) systems have emerged as a popular traffic management solution in response to the need for sustainable transportation options to combat the climate crisis and improve traffic flow. The goal of this research is to foster the use of public transportation by facilitating the design of P&R through sketch planning tools. This research aims to (1) formulate mathematical models to optimize the selection of P&R design variables, (2) analyze the effects of local conditions of land use and traffic on design variables of P&R, (3) analyze the influence of key features (location, transit service level, fares, etc.) on the expected demand and benefits. The models consider a continuous metropolitan area with population distribution defined by density functions. The number of P&R users are estimated through an analytical formulation of the catchment area of a P&R site and mode choice functions that take into the generalized travel costs of using P&R or driving-only. The mathematical models maximize expected user benefit and can be used to select P&R location and design the public transportation servicing the site. Numerical experiments are conducted to provide valuable insights into the implementation of P&R systems and offer guidelines for future design and planning efforts.
Description
August2023
School of Engineering
Department
Dept. of Civil and Environmental Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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