Assessing Urban Road Network Capacity considering Parking Supply and Parking Pricing

To enhance the assessment of the network capacity for a given urban road system, the effects of the parking management strategies at destination areas are supposed to be considered in the network capacity assessment model. This study provides an extended road network capacity model which takes into...

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Bibliographic Details
Published in:Journal of advanced transportation 2020-10, Vol.2020 (2020), p.1-17
Main Authors: Jiang, Xiaowei, Liu, Haisheng, Du, Muqing
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Automobile drivers
Commuting
Equilibrium
Iran
Market penetration
Parking
Parking facilities
Pricing
Roads
Strategic planning (Business)
Traffic
Traffic assignment
Traffic capacity
Traffic congestion
Traffic control
Traffic flow
Transportation
Transportation networks
Travel
Travel demand
Trip generation
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Summary:To enhance the assessment of the network capacity for a given urban road system, the effects of the parking management strategies at destination areas are supposed to be considered in the network capacity assessment model. This study provides an extended road network capacity model which takes into consideration both the parking supply and parking pricing at each traffic zone. The network capacity model is formulated as a bilevel programming problem, with the maximization of total trip generation in the upper level and the combined trip distribution and traffic assignment (CTDTA) problem in the lower level. To reasonably characterize the impacts of the parking pricing and parking delay due to the congestion effect, two classes of travel demand are involved in the CTDTA model. An efficient and practical algorithm is provided for the solution of the bilevel network capacity model. Numerical experiments show the advantages of the proposed model and also demonstrate the effect of the parking supply and parking pricing on the assessment results of the road network capacity.
ISSN:0197-6729
2042-3195
DOI:10.1155/2020/8820680