Advertisement

Tradable permit schemes for managing morning commute with carpool under parking space constraint

  • Ling-Ling Xiao
  • Tian-Liang LiuEmail author
  • Hai-Jun Huang
Article
  • 34 Downloads

Abstract

This paper proposes two tradable parking permit schemes for managing the morning commute with three alternative modes, i.e., transit, driving alone and carpool, under the parking space constraint at destination. The commuting equilibrium and system-optimal distributions of parking permits are further investigated in a many-to-one multi-modal network setting. It is found that the prices of parking permits, regardless of whether the trip is completed as a carpool or not, decrease with the parking supply, and the price for a solo driver to pay is larger than that a carpooler should pay. Furthermore, the tradable undifferentiated parking permit scheme with a uniform price is more efficient than the tradable differentiated parking permit scheme for solo-driving and carpool vehicles, but the former significantly changes the permit-holding order of solo drivers and carpoolers when the parking supply is relatively low.

Keywords

Morning commute Bottleneck model Tradable parking permits Carpool 

Notes

Acknowledgements

The research described in this paper was jointly supported by grants from the National Natural Science Foundation of China (71501012, 71771007), the Beijing Social Science Foundation (16GLC054) and the Fundamental Research Funds for the Central Universities. On behalf of all authors, the corresponding author states that there is no conflict of interest.

Authors’ contribution

L-LX: Literature Search and Review, Modeling and Analysis, Manuscript Writing. T-LL: Content Planning and Analysis, Literature Review, Manuscript Editing. H-JH: Content Planning, Manuscript Editing.

References

  1. Anderson, S.P., de Palma, A.: The economics of pricing parking. J. Urb. Econ. 55(1), 1–20 (2004)CrossRefGoogle Scholar
  2. Arnott, R., de Palma, A., Lindsey, R.: Economics of a bottleneck. J. Urb. Econ. 27(1), 111–130 (1990)CrossRefGoogle Scholar
  3. Arnott, R., de Palma, A., Lindsey, R.: A temporal and spatial analysis of commuter parking. J. Urb. Econ. 45, 301–337 (1991)Google Scholar
  4. Akamatsu, T., Wada, K.: Tradable network permits: a new scheme for the most efficient use of network capacity. Transp. Res. Part C 79, 178–195 (2017)CrossRefGoogle Scholar
  5. Bifulco, G.N.: A stochastic user equilibrium assignment model for the evaluation of parking policies. Eur. J. Oper. Res. 71(2), 269–287 (1993)CrossRefGoogle Scholar
  6. Cats, O., Zhang, C., Nissan, A.: Survey methodology for measuring parking occupancy: impacts of an on-street parking pricing scheme in an urban center. Transp. Policy 47, 55–63 (2016)CrossRefGoogle Scholar
  7. Dales, J.H.: External diseconomies, external taxes, and market structure. Am. Econ. Rev. 59(1), 174–177 (1968)Google Scholar
  8. De Palma, A., Fosgerau, M.: Dynamic traffic modeling. In: de Palma, A., Lindsey, R., Quinet, E., Vickeman, R. (eds.) Handbook in Transport Economics, pp. 29–37. Edvard Elgar, Cheltenham (2011)CrossRefGoogle Scholar
  9. Fosgerau, M., de Palma, A.: The dynamics of urban traffic congestion and the price of parking. J. Public Econ. 105, 106–115 (2013)CrossRefGoogle Scholar
  10. Huang, H.-J., Yang, H., Bell, M.G.H.: The models and economics of carpools. Ann. Reg. Sci. 34, 55–68 (2000)CrossRefGoogle Scholar
  11. Inci, E.: A review of the economics of parking. Econ. Transp. 4, 50–63 (2015)CrossRefGoogle Scholar
  12. Liu, W., Geroliminis, N.: Modeling the morning commute for urban networks with cruising-for-parking: an MFD approach. Transp. Res. Part B 93, 470–494 (2016)CrossRefGoogle Scholar
  13. Liu, Y., Li, Y.: Pricing scheme design of ridesharing program in morning commute problem. Transp. Part C 79, 156–177 (2017)CrossRefGoogle Scholar
  14. Liu, W., Yang, H., Yin, Y.: Expirable parking reservations for managing morning commute with parking space constraints. Transp. Res. Part C 44, 185–201 (2014a)CrossRefGoogle Scholar
  15. Liu, W., Yang, H., Yin, Y., Zhang, F.: A novel permit scheme for managing parking competition and bottleneck congestion. Transp. Res. Part C 44, 265–281 (2014b)CrossRefGoogle Scholar
  16. Liu, W., Zhang, F., Yang, H.: Managing morning commute with parking space constraints in the case of a bi-modal many-to-one network. Transp. A Transp. Sci. 12(2), 116–141 (2016)Google Scholar
  17. Lu, X.-S., Liu, T.-L., Huang, H.-J.: Pricing and mode choice based on nested logit model with trip-chain costs. Transp. Policy 44, 76–88 (2015)CrossRefGoogle Scholar
  18. Ma, R., Zhang, H.M.: The morning commute problem with ridesharing and dynamic parking charges. Transp. Res. Part B 106, 345–374 (2017)CrossRefGoogle Scholar
  19. Montgomery, W.D.: Markets in licenses and efficient pollution control programs. J. Econ. Theory 5(3), 174–177 (1972)CrossRefGoogle Scholar
  20. Nie, Y.M.: Transaction costs and tradable mobility credits. Transp. Res. Part B Methodol. 46(1), 189–203 (2012)CrossRefGoogle Scholar
  21. Nie, Y.M.: On the potential remedies for license plate rationing. Econ. Transp. 9, 37–50 (2017)CrossRefGoogle Scholar
  22. Nie, Y.M., Yin, Y.: Managing rush hour travel choices with tradable credit scheme. Transp. Res. Part B 50, 1–19 (2013)CrossRefGoogle Scholar
  23. Qian, Z., Zhang, H.M.: Modeling multi-modal morning commute in a one-to-one corridor network. Transp. Res. Part C 19, 254–269 (2011)CrossRefGoogle Scholar
  24. Qian, Z., Rajagopal, R.: Optimal dynamic pricing for morning commute parking. Transp. A Transp. Sci. 11(4), 291–316 (2015)Google Scholar
  25. Qian, Z., Xiao, F., Zhang, H.M.: The economics of parking provision for the morning commute. Transp. Res. Part A 45, 861–879 (2011)Google Scholar
  26. Qian, Z., Xiao, F., Zhang, H.M.: Managing morning commute traffic with parking. Transp. Res. Part B 46, 894–916 (2012)CrossRefGoogle Scholar
  27. Shoup, D.C.: Cruising for parking. Transp. Policy 13(6), 479–486 (2006)CrossRefGoogle Scholar
  28. Small, K. A.: The scheduling of consumer activities: work trips. Amer. Economic Rev. 72(3), 467–479 (1982)Google Scholar
  29. Vickrey, W.S.: Congestion theory and transport investment. Am. Econ. Rev. 59(2), 251–261 (1969)Google Scholar
  30. Wang, X., Yang, H., Zhu, D., Li, C.: Tradable travel credits for congestion management with heterogeneous users. Transp. Res. Part E 48(2), 426–437 (2012)CrossRefGoogle Scholar
  31. Wang, J., Zhang, X., Zhang, H.M.: Parking permits management and optimal parking supply considering traffic emission cost. Transp. Res. Part D 60, 92–103 (2018)CrossRefGoogle Scholar
  32. Xiao, L.-L., Huang, H.-J., Liu, R.: Congestion behavior and toll in a bottleneck model with stochastic capacity. Transp. Sci. 49(1), 46–65 (2015)CrossRefGoogle Scholar
  33. Xiao, L.-L., Liu, T.-L., Huang, H.-J.: On the morning commute problem with carpooling under parking space constraints. Transp. Res. Part B 91, 383–407 (2016)CrossRefGoogle Scholar
  34. Yang, H., Huang, H.-J.: Carpooling and congestion pricing in a multilane high-way with high-occupancy-vehicle lanes. Transp. Res. Part A 33, 139–155 (1999)Google Scholar
  35. Yang, H., Liu, W., Wang, X.L., Zhang, X.N.: On the morning commute problem with bottleneck congestion and parking space constraints. Transp. Res. Part B 58, 106–118 (2013)CrossRefGoogle Scholar
  36. Yang, H., Wang, X.L.: Managing network mobility with tradable credits. Transp. Res. Part B 45(3), 580–594 (2011)CrossRefGoogle Scholar
  37. Zhang, X.N., Huang, H.-J., Zhang, H.M.: Integrated daily commuting patterns and optimal road tolls and parking fees in a linear city. Transp. Res. Part B 42(1), 38–56 (2008)CrossRefGoogle Scholar
  38. Zhang, X.N., Yang, H., Huang, H.-J.: Improving travel efficiency by parking permits distribution and trading. Transp. Res. Part B 45(7), 1018–1034 (2011)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Economics and ManagementBeijing Jiaotong UniversityBeijingPeople’s Republic of China
  2. 2.MoE Key Laboratory of Complex System Analysis and Management Decision, School of Economics and ManagementBeihang UniversityBeijingPeople’s Republic of China

Personalised recommendations