01551119

Component

Cruising-for-parking is a critical mobility issue in urban cities. The cost and accessibility of parking significantly influence people’s travel behavior (such as mode choice) and facility choice (on-street or garage parking). Furthermore, parking affects traffic performance for all users of a city. Car-users may have to cruise for on-street parking space before reaching destinations and cause delays eventually to everyone, even users with destinations outside limited parking areas. It is therefore crucial to understand the impact of parking on mobility and identify traffic management policies to avoid the negative externalities. Most existing studies of parking either fall short in reproducing the dynamic spatiotemporal features of traffic congestion in general and the cruising-for-parking phenomenon, or require data that are expensive and difficult to collect. In this paper, the authors propose an aggregated dynamic model for multimodal mobility with the consideration of parking, and utilize the model to evaluate management policies, such as parking pricing. The proposed approach is based on the recent development of the low-scattered Macroscopic Fundamental Diagram (MFD), which demonstrated decent representation of the complex dynamics of transport system at network-level for single-mode and bi-modal (car and bus) urban networks. The MFD-based bi-modal modeling framework is extended with a parking module where cruising delay and change of behavior (e.g. mode choice and parking facility choice) caused by parking are taken into account. Pricing strategies of parking are then developed to reduce congestion and travel cost. Result of a case study shows that traffic performance under various types of parking policies can be investigated and close-to-optimum pricing schemes can be obtained. Furthermore, parking market competition can be simulated and studied with the proposed modeling approach.

This paper was sponsored by TRB committee AHB45 Traffic Flow Theory and Characteristics. Alternate title: Modeling of Multimodal Urban Networks with Limited Parking and Dynamic Pricing.

01550057

15-1083

English

16p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Optimization; Parking; Parking fees; Policy analysis; Pricing; Travel demand management; Urban transportation policy

Finance; Highways; Operations and Traffic Management; Policy; I73: Traffic Control

Transportation Research Board Annual Meeting 2015 Paper #15-1083

TRIS, TRB, ATRI

Dec 30 2014 12:26PM