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Parking permits management and optimal parking supply considering traffic emission cost
- Source :
- Transportation Research Part D: Transport and Environment. 60:92-103
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Given a many-to-one bi-modal transportation network where each origin is connected to the destination by a bottleneck-constrained highway and a parallel transit line, we investigate the parking permit management methods to minimize traffic time cost and traffic emission cost simultaneously. More importantly, the optimal supply of parking spots is also discussed in the policies of parking permit. First, we derive the total travel costs and emission costs for the two cases of sufficient and insufficient parking spot provisions at the destination. Second, we propose a bi-objective model and solve the Pareto optimal parking permit distribution, given a certain level of parking supply. Third, we investigate the optimal parking supply in the policy of parking permit distribution, with the objectives of minimizing both total travel cost and traffic emission. Fourth, we provide a model of optimizing parking supply, in the policy of free trading of parking permits. Finally, the numerical examples are presented to illustrate the effectiveness of these schemes, and the numerical results show that restricting parking supply at the city center could be efficient to reduce traffic emission.
- Subjects :
- 050210 logistics & transportation
Parking guidance and information
Computer science
05 social sciences
Traffic emission
Transportation
Travel cost
010501 environmental sciences
Flow network
01 natural sciences
Time cost
Transport engineering
Pareto optimal
Transit line
0502 economics and business
Management methods
0105 earth and related environmental sciences
General Environmental Science
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 13619209
- Volume :
- 60
- Database :
- OpenAIRE
- Journal :
- Transportation Research Part D: Transport and Environment
- Accession number :
- edsair.doi...........7e6acc0f081918405178de4dc2f49648
- Full Text :
- https://doi.org/10.1016/j.trd.2016.02.005