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Title:

How Many and Where to Locate Parking Lots? A Space-Time Accessibility-Maximization Modeling Framework for Special Event Traffic Management

Accession Number:

01593598

Record Type:

Component

Abstract:

Special event traffic planning and management needs to accommodate high traffic demand volume and special distribution patterns with dramatic structural deviations from the normal conditions. To provide sufficient transportation service supply that matches non-typical demand needs, this paper explains how to systematically optimize the locations of park and ride stations, the number of additional parking lots, and the bus rapid transit schedules. The objective is to maximize the number of travelers who can complete their activity tours within a reasonable travel time budget. Based on a space-time network construct, this paper formulates a network design problem to maximize the system-wide transportation accessibility from different origins to activity locations at special-event sites. A linear integer programming model is proposed to formulate the joint optimization of the location and capacity of parking lots associated with mega-event sites. Illustrative and real-world examples are used to examine the effectiveness and practical usefulness of the proposed modeling framework.

Supplemental Notes:

This paper was sponsored by TRB committee AP025 Standing Committee on Public Transportation Planning and Development. Alternate title: How Many and Where to Locate Parking Lots? Space-Time Accessibility-Maximization Modeling Framework for Special Event Traffic Management.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-6811

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Ruan, Jin-Mei
Liu, Bin
Wei, He
Qu, Yunchao
Zhu, Nana
Zhou, Xuesong

Pagination:

23p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-6811

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 6:57PM