Bilevel Programming Model for Locating Park-and-Ride Facilities

How Many and Where to Locate Parking Lots? A Space–time Accessibility-Maximization Modeling Framework for Special Event Traffic Management

“…The research on travelers' parking searching behavior aims to find the user-equilibrium solutions under different parking facilities' constraints [8][9][10][11][12][13][14][15][16]. Based on the route choice behavior under parking facilities, researchers have extended the traditional network design problems [17][18][19][20][21][22] to park-and-ride facilities' network design and location problems [23][24][25][26]. Considering the optimal location and pricing of a P&R facility simultaneously in a linear monocentric city, Wang et al [23] aimed to find a deterministic mode choice equilibrium solution with objective functions as profit maximizing and social cost minimizing.…”

Developmental Analysis of Park-and-Ride Facilities in Vilnius

“…At a later stage, for further research, the authors proposed to involve a multi-objective function. Fan [21] prepared a model with the capability to capture interactions between decision makers and commuters. The obtained results have revealed that adopting social welfare maximization as the optimization objective leads to a win-win outcome for both P&R service providers and users.…”

“…The first set of criteria was created after a thorough literature review, i.e. five (K 2 , K 3 , K 4 , K 7 , K 8 ) criteria were derived after literature review [5,10,12,21] and the rest (K 1 , K 5 , K 6 , K 9 , K 10 , K 11 ) were selected on the basis of the authors' opinion. The final set was approved by the experts who participated in the evaluation, as per usual practice of the multi-criteria evaluation.…”

A Bi-Objective Model for Siting Park-and-Ride Facilities with Spatial Equity Constraints

“…These objectives cover as much potential demand as possible, using the existing P&R facilities as much as possible and as close as possible to major roadways. Fan et al [12] used a bi-level programming model to locate P&R facilities considering the interaction between decision makers and commuters. Commuters are assumed to follow a stochastic user equilibrium behaviour.…”

“…Existing literature related to the P&R facility location problem can be generally categorized into three classes, i.e., decision support system [5,6], equilibrium analysis [7,8] and mathematical programming [9][10][11][12][13]. Horner and Grubesic [5] and Faghri et al [6] X. Lu, R. Guo: A Bi-Objective Model for Siting Park-and-Ride Facilities with Spatial Equity Constraints developed various hybrid knowledge-based expert system and geographic information system tools to determine the optimal location of a P&R facility.…”