01664278

Component

Non-public parking area in large-scale organizations and residential communities, for example, university campuses, accounts for major part of urban parking supply. However, due to the relatively closing objects, the related management problems have not been paid enough attention. Some parking managers in university campuses plan to open some temporarily vacant parking spaces to meet the parking demand of public drivers aimed at surrounding area but they have to guarantee that the non-public drivers will always be provided with an available parking space. The article analyzes the parking demand via data-driven method and proposes a sub-period campus parking management strategy based on categories of users and time series. A mixed Gaussian distribution with variable components is proposed in this article to describe the time-varying arriving/departing behaviors of drivers and the solution is estimated via simulation optimization. Numerical experiments in Tongji University demonstrate the effectiveness of the proposed strategy, which increases the usage efficiency of existing parking infrastructures in campuses and profit of campus parking managers. And the management strategy is proved to contribute to the regional equilibrium of parking supply and demand under the guarantee of non-public users’ parking rights

This paper was sponsored by TRB committee ABE50 Standing Committee on Transportation Demand Management.

18-04032

English

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Campus parking; Case studies; Data analysis; Parking; Parking demand

Tongji University (Shanghai, China)

Administration and Management; Data and Information Technology; Highways

Transportation Research Board Annual Meeting 2018 Paper #18-04032

TRIS, TRB, ATRI

Jan 8 2018 11:00AM