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A framework for evaluating the dynamic impacts of a congestion pricing policy for a transportation socioeconomic system

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  • Liu, Shiyong
  • Triantis, Konstantinos P.
  • Sarangi, Sudipta

Abstract

This paper provides a modeling framework based on the system dynamics approach by which policy makers can understand the dynamic and complex nature of traffic congestion within a transportation socioeconomic system representation of a metropolitan area. This framework offers policy makers an assessment platform that focuses on the short- and long-term system behaviors arising from an area-wide congestion pricing policy along with other congestion mitigation policies. Since only a few cities in the world have implemented congestion pricing and several are about to do so, a framework that helps policy makers to understand the impacts of congestion pricing is currently quite relevant. Within this framework, improved bus and metro capacities contribute to the supply dynamics which in turn affect the travel demand of individuals and their choice of different transportation modes. Work travel and social networking activities are assumed to generate additional travel demand dynamics that are affected by travelers' perception of the level of service of the different transportation modes, their perception of the congestion level, and the associated traveling costs. It is assumed that the, population, tourism and employment growth are exogenous factors that affect demand. Furthermore, this paper builds on a previously formulated approach where fuzzy logic concepts are used to represent linguistic variables assumed to describe consumer perceptions about transportation conditions.

Suggested Citation

  • Liu, Shiyong & Triantis, Konstantinos P. & Sarangi, Sudipta, 2010. "A framework for evaluating the dynamic impacts of a congestion pricing policy for a transportation socioeconomic system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(8), pages 596-608, October.
  • Handle: RePEc:eee:transa:v:44:y:2010:i:8:p:596-608
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Jin Qin & Yuxin He & Linglin Ni, 2014. "Quantitative Efficiency Evaluation Method for Transportation Networks," Sustainability, MDPI, Open Access Journal, vol. 6(12), pages 1-15, November.
    2. Pei Liu & Dong Mu & Daqing Gong, 2017. "Eliminating Overload Trucking via a Modal Shift to Achieve Intercity Freight Sustainability: A System Dynamics Approach," Sustainability, MDPI, Open Access Journal, vol. 9(3), pages 1-24, March.
    3. repec:gam:jsusta:v:9:y:2017:i:10:p:1760-:d:113916 is not listed on IDEAS
    4. Lewe, J.-H. & Hivin, L.F. & Mavris, D.N., 2014. "A multi-paradigm approach to system dynamics modeling of intercity transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 188-202.
    5. repec:eee:trapol:v:61:y:2018:i:c:p:36-50 is not listed on IDEAS
    6. 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.
    7. Bar-Yosef, Asaf & Martens, Karel & Benenson, Itzhak, 2013. "A model of the vicious cycle of a bus line," Transportation Research Part B: Methodological, Elsevier, vol. 54(C), pages 37-50.
    8. 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.
    9. Xia, Jianhong(Cecilia) & Nesbitt, Joshua & Daley, Rebekah & Najnin, Arfanara & Litman, Todd & Tiwari, Surya Prasad, 2016. "A multi-dimensional view of transport-related social exclusion: A comparative study of Greater Perth and Sydney," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 205-221.

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