Parking space management via dynamic performance-based pricing

Transportation Research Part C: Emerging Technologies

Volumn 59, Issue , 2015, Pages 66-91

  Mackowski, Daniel ^a   Bai, Yun ^a   Ouyang, Yanfeng ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

Dynamic pricing; Informatics; Management; MPEC; Smart parking; User equilibrium

Indexed keywords

INFORMATICS; MANAGEMENT; TRAFFIC CONGESTION;

DYNAMIC PERFORMANCE; DYNAMIC PRICING; INFORMATICS INFRASTRUCTURE; LEADER-FOLLOWER GAMES; MPEC; PARKING RESERVATIONS; SMART PARKING; USER EQUILIBRIUM;

COSTS;

INFORMATICS; PARKING; PRICING POLICY; TRAFFIC CONGESTION; TRAFFIC MANAGEMENT; TRANSPORT VEHICLE; URBAN TRANSPORT;

EID: 84942981139     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2015.05.021     Document Type: Article

References (43)

1. Abdulaal M., LeBlanc L.J. Continuous equilibrium network design models. Transport. Res. Part B: Methodol. 1979, 13(1):19-32.
2. Arnott R.J. On the optimal target curbside parking occupancy rate. Econ. Transport. 2014, 3(2):133-144.
3. Arnott, R.J., Inci, E., Rowse, J., 2013. Downtown curbside parking capacity. CESifo Working Paper Series 4085, CESifo Group Munich.
4. Ayala, D., Wolfson, O., Xu, B., Dasgupta, B., Lin, J., 2011. Parking slot assignment games. In: Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS), Chicago, IL, November 2011.
5. Ayala, D., Wolfson, O., Xu, B., Dasgupta, B., Lin, J., 2012. Pricing of parking for congestion reduction. In: Proceedings of the 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS) Redondo Beach, CA, November 2012.
6. Bai Y., Ouyang Y., Pang J.S. Biofuel supply chain design under competitive agricultural land use and feedstock market equilibrium. Energy Econ. 2012, 34(5):1623-1633.
7. Bai L., Mitchell J.E., Pang J.S. On convex quadratic programs with linear complementarity constraints. Comput. Optim. Appl. 2013, 54(3):517-554.
8. Bai Y., Ouyang Y., Pang J.S. Enhanced models and improved solution for competitive biofuel supply chain design under land use constraints. Eur. J. Oper. Res. 2015, (submitted for publication).
9. Bureau of Labor Statistics, 2013. Occupational employment and wages in San Francisco-San Mateo-Redwood City, May 2012. 13-811-SAN. (accessed 06.05.14). http://www.bls.gov/ro9/oessanf.htm.
10. Caicedo F., Blazquez C., Miranda P. Prediction of parking space availability in real time. Expert Syst. Appl. 2012, 39(8):7281-7290.
11. Daniel J.I. Congestion pricing and capacity of large hub airports: a bottleneck model with stochastic queues. Econometrica: J. Econ. Soc. 1995, 327-370.
12. Facchinei F., Pang J.S. Finite-dimensional Variational Inequalities and Complementarity Problems 2003, vols. I and II. Springer-Verlag, New York.
13. Geng, Y., Cassandras, C.G., 2011. Dynamic resource allocation in urban settings: a "smart parking" approach. In: Proceedings of 2011 IEEE Multi-Conference on Systems and Control, October 2011.
14. Giuliano, G., 1994. Equity and Fairness Considerations of Congestion Pricing. Report 242. Transportation Research Board.
15. He F., Yin Y., Chen Z., Zhou J. Pricing of parking games with atomic players. Transp. Res. Part B 2015, 73(2015):1-12.
16. Hobbs B., Metzler C., Pang J.S. Strategic gaming analysis for electric power networks: an MPEC approach. IEEE Transport. Power Syst. 2000, 15(2):638-645.
17. Hu J., Mitchell J.E., Pang J.S., Bennett K., Kunapuli G. On the global solution of linear programs with linear complementarity constraints. SIAM J. Optim. 2008, 19(1):445-471.
18. Hu J., Mitchell J.E., Pang J.S., Yu B. On linear programs with linear complementarity constraints. J. Glob. Optim. 2012, 53(1):29-51.
19. IBM, 2011. Global Parking Survey. < (accessed on 17.11.13). http://www-03.ibm.com/press/us/en/pressrelease/35515.wss.
20. Leurent F., Boujnah H. A user equilibrium, traffic assignment model of network route and parking lot choice, with search circuits and cruising flows. Transport. Res. Part C: Emerg. Technol. 2014, 47(1):28-46.
21. Levy N., Martens K., Benenson I. Exploring cruising using agent-based and analytical models of parking. Transportmetrica A: Transport Sci. 2012, 9(9):773-797.
22. Litman T. Transportation Cost and Benefit Analysis Guidebook: Techniques, Estimates and Implications 2005, VTPI.
23. Liu W., Yang H., Yin Y. Expirable parking reservations for managing morning commute with parking space constraints. Transport. Res. Part C: Emerg. Technol. 2014, 44(2014):185-201.
24. Lu, Y., 2006. Robust Transportation Network Design Under User Equilibrium. Massachusetts Institute of Technology. Master's Thesis.
25. Luo Z.Q., Pang J.S., Ralph D. Mathematical Programs with Equilibrium Constraints 1996, Cambridge University Press, Cambridge, England.
26. Mackowski, D., Bai, Y., Ouyang, Y., Fuller, K., 2014. Informatics-enabled urban management: Envisioning the next generation of "smart parking." Working Paper. University of Illinois at Urbana-Champaign.
27. Millard-Ball A., Weinberger R.R., Hampshire R.C. Is the curb 80% full or 20% empty? Assessing the impacts of San Francisco's parking pricing experiment. Transport. Res. Part A: Policy Pract. 2014, 63(2014):76-92.
28. Naydenov, N., 2010. Parking Survey - Methodology and Case Study. FIG Congress 2010 Sydney, Australia, April 2010.
29. O'Sullivan A. Urban Transit. Urban Economics 2012, McGraw-Hill, New York. eighth ed.
30. Pang J.S., Fukushima M. Quasi-variational inequalities, generalized Nash equilibria, and multi-leader-follower games. CMS 2005, 2(1):21-56.
31. Pierce G., Shoup D. Getting the prices right. J. Am. Plann. Assoc. 2013, 79(1):67-81.
32. Qian Z., Rajagopala R. Optimal parking pricing in general networks with provision of occupancy information. Procedia - Soc. Behav. Sci. 2013, 80:1-26.
33. Qian Z., Rajagopala R. Optimal dynamic parking pricing for morning commute considering expected cruising time. Transport. Res. Part C: Emerg. Technol. 2014, 48(2014):468-490.
34. San Francisco County Transportation Authority, 2009. SF-CHAMP Base OD. <> (accessed on 13.01.14). http://www.sfcta.org/downloads/serviceBureau/.
35. San Francisco Municipal Transportation Agency, 2014. SFpark: Putting Theory into Practice. <> (accessed on 18.09.14). http://sfpark.org/resources/docs_pilotsummary/.
36. Sheffi Y. Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Method 1985, Prentice-Hall, Englewood Cliffs, NJ.
37. Shoup D. The High Cost of Free Parking 2005, American Planning Association, Chicago, IL.
38. Shoup D. Cruising for parking. Transp. Policy 2006, 13(6):479-486.
39. Small K.A. Using the revenues from congestion pricing. Transportation 1992, 19(4):359-381.
40. Stefik, M.J., Bell, A.G., Eldershaw, C., Good, L.E., Greene, D.H., Torres, F.E., Uckun, S., Cummins, D.P., 2014. U.S. Patent No. 8,671,002. U.S. Patent and Trademark Office, Washington, DC.
41. TCRP, 2005. Traveler Response to Transportation System Changes Handbook, third ed. Parking Pricing and Fees, Report 95. Transportation Research Board (chapter 13).
42. Wardrop J.G. Road paper: Some theoretical aspects of road traffic research. ICE Proc. Eng. Div. 1952, 1(3):325-362.
43. Yang H., Bell M.G. Transport bilevel programming problems: recent methodological advances. Transport. Res. Part B: Methodol. 2001, 35(1):1-4.