Abstract
Park and ride (P&R) facilities provide intermodal transfer between private vehicles and public transportation systems to alleviate urban congestion. This study developed a mathematical programming formulation for determining P&R facility locations. A recently developed Weibit-based model was adopted to represent the traveler choice behavior with heterogeneity. The model’s independence of irrelevant alternatives (IIA) property was explored and used to linearize its nonlinear probability. Some numerical examples are provided to demonstrate a feature of the proposed mixed integer linear programing (MILP). The results indicate a significant impact of route-specific perception variance on the optimal P&R facility locations in a real-size transportation network.
Highlights
Park and ride (P&R) facilities are a significant component of the public transportation system in many cities around the world
Some features of the proposed Multinomial Weibit (MNW)-based P-hub location model for determining optimal locations of P&R facilities were investigated through two networks
This study developed a Weibit-based mathematical programming (MP) formulation to consider the park and ride (P&R) facility locations under moderate traffic congestion
Summary
Songyot Kitthamkesorn 1,2 , Anthony Chen 3,4, *, Sathaporn Opasanon 5 and Suwicha Jaita 2. Shenzhen Research Institute, The Hong Kong Polytechnic University, Shenzhen 518040, China
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