Optimizing location and capacity of rail-based Park-and-Ride sites to increase public transport usage. Issue 5 (3rd July 2016)

• Record Type: Journal Article
• Authors: Chen, Xinyuan; Liu, Zhiyuan; Currie, Graham
• Is Part Of: Transportation planning and technology. Volume 39:Issue 5(2016)
• Page Start: 507
• Page End: 526
• Publication Date: 2016-07-03
• Subjects: Park-and-Ride -- public transport usage -- network design -- bi-modal network -- location design; Transportation -- Periodicals; Transportation -- Research -- Periodicals; Local transit -- Periodicals; Transportation and state -- Periodicals; 388
• DOI: 10.1080/03081060.2016.1174366
• Languages: English
• ISSNs: 0308-1060

Abstract

ABSTRACT: This paper presents a new methodology to identify optimal locations and capacity for rail-based Park-and-Ride (P&R) sites to increase public transport mode share. P&R is usually taken as an important component of policies for the sustainable development of urban transport systems. However, previous studies reveal that arbitrarily determined P&R sites may act to reduce public transport commuting. This paper proposes a methodology for the optimal location and capacity design of P&R sites, with the aim of enhancing public transport usage. A Combined Mode Split and Traffic Assignment (CMSTA) model is proposed for the P&R scheme. Taking the CMSTA model as the lower level, a bi-level mathematical programming model is then built to establish the optimal location and capacity of P&R sites. A heuristic genetic algorithm is adopted to solve this model. Finally, a network example is adopted to test numerically the proposed models and algorithms.