A framework for evaluating the dynamic impacts of a congestion pricing policy for a transportation socioeconomic system
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- Sabounchi, Nasim S. & Triantis, Konstantinos P. & Sarangi, Sudipta & Liu, Shiyong, 2014. "Dynamic simulation modeling and policy analysis of an area-based congestion pricing scheme for a transportation socioeconomic system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 357-383.
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- Hong, Liu & Ouyang, Min & Xu, Min & Hu, Peipei, 2020. "Time-varied accessibility and vulnerability analysis of integrated metro and high-speed rail systems," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
- Zhang, Fangni & Yang, Hai & Liu, Wei, 2014. "The Downs–Thomson Paradox with responsive transit service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 244-263.
- Yunqiang Xue & Lin Cheng & Kuang Wang & Jing An & Hongzhi Guan, 2020. "System Dynamics Analysis of the Relationship between Transit Metropolis Construction and Sustainable Development of Urban Transportation—Case Study of Nanchang City, China," Sustainability, MDPI, vol. 12(7), pages 1-25, April.
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Keywords
Congestion pricing System dynamics Social networking Demand and supply dynamics Linguistic variables Traveler perceptions;Statistics
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