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The Role of Initial Credit Distribution Scheme in Managing Network Mobility and Maximizing Reserve Capacity: Considering Traveler’s Cognitive Illusion

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  • Fei Han
  • Lin Cheng

Abstract

The role of initial credit distribution scheme (ICDS) in managing network mobility has long been overlooked in previous studies of tradable credit scheme (TCS), which may make their results disputable in the reality, as the travelers possessing leftover credits can get some subsidy from the credit market and offset part of travel cost. In this paper, the disequilibrium phenomenon of previous user equilibrium (UE) solution is shown when traveler’s cognitive illusion (CI) is considered. Then, a new UE condition with TCS is defined with the ICDS and CI explicitly considered. To comprehensively reveal the impacts of ICDS on UE solution, four different types of ICDS are introduced and analyzed in a unified variational inequality (VI) modeling framework. The uniqueness of the UE link flow and market equilibrium (ME) credit price is also investigated. Furthermore, the mathematical program with equilibrium constraint (MPEC) for the optimal ICDS design problem is established, with the optimization objective being maximizing network reserve capacity. A modified relaxation algorithm is adopted to solve the MPEC. The numerical example shows that a properly designed ICDS can not only improve the network reserve capacity, but also decrease the travel cost of all the travelers in the network simultaneously.

Suggested Citation

  • Fei Han & Lin Cheng, 2016. "The Role of Initial Credit Distribution Scheme in Managing Network Mobility and Maximizing Reserve Capacity: Considering Traveler’s Cognitive Illusion," Discrete Dynamics in Nature and Society, John Wiley & Sons, vol. 2016(1).
  • Handle: RePEc:wly:jnddns:v:2016:y:2016:i:1:n:7289621
    DOI: 10.1155/2016/7289621
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    References listed on IDEAS

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    1. Nie, Yu (Marco) & Yin, Yafeng, 2013. "Managing rush hour travel choices with tradable credit scheme," Transportation Research Part B: Methodological, Elsevier, vol. 50(C), pages 1-19.
    2. Xiao, Feng & Qian, Zhen (Sean) & Zhang, H. Michael, 2013. "Managing bottleneck congestion with tradable credits," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 1-14.
    3. Viegas, José M., 2001. "Making urban road pricing acceptable and effective: searching for quality and equity in urban mobility," Transport Policy, Elsevier, vol. 8(4), pages 289-294, October.
    4. Susan Grant-Muller & Meng Xu, 2014. "The Role of Tradable Credit Schemes in Road Traffic Congestion Management," Transport Reviews, Taylor & Francis Journals, vol. 34(2), pages 128-149, March.
    5. Fan, Wenbo & Jiang, Xinguo, 2013. "Tradable mobility permits in roadway capacity allocation: Review and appraisal," Transport Policy, Elsevier, vol. 30(C), pages 132-142.
    6. Yang, Hai & Wang, Xiaolei, 2011. "Managing network mobility with tradable credits," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 580-594, March.
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