01660357

Component

Existing Park-and-ride (P&R) sites usually locate near a train/bus station where construction and operation cost is considerably high. Thus, this paper proposes a new P&R service mode, “Remote P&R (RPR)”, where a car park locates in a suburban area with lower land value. Dedicated express bus service is used to connect this site to nearby train station. To evaluate the impacts of RPR in the network flows quantitatively, a combined modal split and traffic assignment model (CMSTA) is developed where a cross nest logit (CNL) model is adopted to cope with the mode similarity. The problem is solved by Evans algorithm. Taking the CMSTA as the lower level and multimodal stochastic system optimum (MSSO) as the objective, the authors further develop a model employing mathematical programming with equilibrium constraints (MPEC) for the optimal network design of RPR, which is solved by a meta-heuristics. Numerical examples demonstrate that optimal sitting and sizing of RPR scheme can significantly influence network users’ travel decisions, promote the usage of public transportation and mitigate traffic congestion in the congested area of metropolitan cities.

This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.

18-01947

English

6p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Equilibrium (Systems); Fringe parking; Location; Logits; Modal split; Multimodal transportation; Network analysis (Planning); Park and ride; Stochastic programming; Traffic assignment

Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation

Transportation Research Board Annual Meeting 2018 Paper #18-01947

TRIS, TRB, ATRI

Jan 8 2018 10:29AM