Forecasting demand for the park-and-ride mode and determining the optimal location of stations

Abstract

This paper deals with a park-and-ride commuting system designed mainly for servicing urban work trips. A methodology is presented to define the demand for a fixed park-and-ride station location and this procedure is extended for estimating the demand for park-and-ride at any location along a transportation route. A process is suggested for locating one or more stations in such a way that the cost of the system to the commuters and the community is minimized. The models developed in this analysis are applied to a case study area and the results are compared with those derived from the planning models of other researchers.Le prCsent texte traite du systtme de stationnement de dissuasion conGu principalernent pour les trajets ayant comme destination les lieux de travail en milieu urbain. On prksente une mdthodologie pour dCfinir la demande et ainsi localiser les stations fixes pour les stationnements de dissuasion tout point d'un parcours. Une methode est suggCr6e pour localiser un ou plusieurs de ces stationnements de fqon a minimiser le coDt du systeme tant aux utilisateurs qu'i la communautC. Les modeles dCveloppts dans cette analyse sont appliques a un cas particulier et les rCsultats sont cornparks a ceux qui sont dCrivCs des modeles dCveloppCs par d'autres chercheurs.[Traduit par la revue]Can. J. Civ. Eng. 10, 695-702 (1983)

Multi-Objective Optimization Model for P + R and K + R Facilities’ Collaborative Layout Decision

“…Song et al [13] also aimed to minimize social costs and proposed a collaborative planning method for park-and-ride and bus services. Sargious and Janarthanan [14] suggested a process for locating one or more P + R stations in a way that the cost of the system to the commuters and the community is minimized. Zhang [15] analyzed the influencing factors of location decision for P + R facilities and established the final location decision-making model with maximum utility as the objective function.…”

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

“…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.…”

“…Sargious and Janarthanan [9] proposed a method for locating P&R facilities such that the total cost of the system is minimized. Honer and Groves [10] proposed a network flow-based model for location analyses of rail P&R. Farhana and Murray [11] proposed a multi-objective spatial optimization model to account for P&R application-specific objectives.…”

A GIS‐Based Approach for Delineating Market Areas for Park and Ride Facilities

“…Increased use of public transit is a potentially effective way to overcome automobile dependency and would likely contribute to a more sustainable existence of urban areas (Newman and Kenworthy 1999). Public transit, however, is not well suited for low-density areas because there is usually not enough travel demand to support fixed route transit service (Sargious and Janarthanan 1983). An effective alternative is the use of park-and-ride services to extend public transportation to low-density areas.…”

“…Thus, circumstances could also arise due to terrain undulation or spatial barriers, but the street network is certainly critical in urban areas. Sargious and Janarthanan (1983) delineate the boundary of a market area based on travel cost. Such costs include time valuation, travel time, and use fees.…”