Optimizing location and capacity of rail-based Park-and-Ride sites to increase public transport usage
mode - park and ride, mode - rail, planning - network design, place - urban, land use - planning, ridership - commuting
Park-and-Ride, public transport usage, network design, bi-modal network, location design
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.
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Chen, X., Liu, Z., & Currie, G. (2016). Optimizing location and capacity of rail-based Park-and-Ride sites to increase public transport usage. Transportation Planning and Technology, Vol. 39(5), pp. 507-526.