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The Optimal Road Tolls and Parking Fees for Managing Daily Household Commute in a Linear City

  • Yi Yao
  • Ling-Ling XiaoEmail author
  • Wei-Jiu Zhang
Conference paper
  • 20 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 617)

Abstract

This paper exams a daily traffic pattern of household on a morning and evening commute link. It is assumed that the parking is located along commuting routes radiating from the CBD and the households have two preferred arrival times, i.e., school start time and work start time. Based on bottleneck model, the households’ departure time choice is assumed to follow the user equilibrium principle according to tip cost. The analytical solution of the proposed model is derived. We then design pricing schemes, i.e., a time-varying road toll and a location-dependent parking fee. Within the framework of the extended bottleneck model, we proved that the proposed joint scheme of road toll and parking fee can effectively eliminate the queues behind the bottleneck, even reduce the schedule delay by reversing the spatial order of parking. We also find that the location-dependent parking fee with no road toll could improve the morning commute pattern. Furthermore, the numerical results show that the proposed pricing schemes can indeed improve the efficiency of the household commute through decreasing the total travel cost.

Keywords

Household travels Daily commute pattern Road toll Parking fee 

Notes

Acknowledgements

The research described in this paper was jointly supported by grants from the National Natural Science Foundation of China (71501012), the Beijing Social Science Foundation (16GLC054).

References

  1. 1.
    Vickrey WS (1969) Congestion theory and transportation investment. Am Econ Rev 59:251–261Google Scholar
  2. 2.
    Arnott R, De Palma A, Lindsey R (1990) Economics of a bottleneck. J Urban Econ 27(1):111–130CrossRefGoogle Scholar
  3. 3.
    Arnott R, de Palma A, Lindsey R (1998) Recent developments in the bottleneck model. In: Button KJ, Verhoef ET (eds) Road pricing, traffic congestion and the environment: issues of efficiency and social feasibility. Edward Elga, Aldershot, pp 161–179Google Scholar
  4. 4.
    de Palma A, Fosgerau M (2011) Dynamic traffic modeling. In: de Palma A, Lindsey R, Quinet E, Vickeman R (eds) Handbook in transport economics. Edvard Elgar, Cheltenham, UK, pp 29–37CrossRefGoogle Scholar
  5. 5.
    Lindsey R, van den Berg V, Verhoef ET (2012) Step tolling with bottleneck queuing congestion. J Urban Econ 72(1):46–59CrossRefGoogle Scholar
  6. 6.
    Xiao LL, Liu TL, Huang HJ (2019) Tradable permit schemes for managing morning commute with carpool under parking space constraint. Transportation.  https://doi.org/10.1007/s11116-019-09982-wCrossRefGoogle Scholar
  7. 7.
    Arnott R, De Palma A, Lindsey R (1991) A temporal and spatial equilibrium analysis of commuter parking. J Public Econ 45:301–335CrossRefGoogle Scholar
  8. 8.
    Zhang X, Huang HJ, Zhang HM (2008) Integrated daily commuting patterns and optimal road tolls and parking fees in a linear city. Transp Res Part B 42:38–56CrossRefGoogle Scholar
  9. 9.
    Jia Z, Wang DZW, Cai X (2016) Traffic managements for household travels in congested morning commute. Transp Res Part E Logistics Transp Rev 91:173–189CrossRefGoogle Scholar
  10. 10.
    Liu W, Zhang F, Yang H (2016) Modeling and managing morning commute with both household and individual travels [J]. Transport Res B: MethGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Economics and ManagementBeijing Jiaotong UniversityBeijingPeople’s Republic of China

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