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Title:

Dynamic Pricing for Reservation-Based Parking System: A Revenue Management Method

Accession Number:

01628713

Record Type:

Component

Abstract:

With the advent of the Internet era as well as the improvement of urban smart level, parking reservation has become one of the most effective ways to solve parking problems. This paper proposes a dynamic pricing model allowing travelers reserving parking spaces through their personal smart equipment in advance. The parking system is operated by a private owner and her/his objective is to maximize the expected revenue. The revenue management method is adopted in setting the dynamic pricing policy of the reservation-based parking problem when trip demand is price sensitive and stochastic. Numerical experiments suggest that the authors' optimal policy could save much cruising cost relative to traditional fixed price, which results in significant reduction in adverse socioeconomic externalities such as traffic jams and environmental pollution.

Supplemental Notes:

This paper was sponsored by TRB committee ABE50 Standing Committee on Transportation Demand Management. Alternate title: Dynamic Pricing for Reservation-Based Parking System: Revenue Management Method

Monograph Accession #:

01618707

Report/Paper Numbers:

17-03253

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Tian, Qiong
Yang, Li
Wang, Chenlan
Huang, Hai-Jun

Pagination:

12p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Uncontrolled Terms:

Subject Areas:

Finance; Highways; Operations and Traffic Management

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-03253

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:13AM