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Title:

Shared Dial-a-Ride Service for More People with Lower Price

Accession Number:

01623597

Record Type:

Component

Abstract:

In the decade of an aging population, many community transportation organizations now offer the service option of shared dial-a-ride (SDAR) in addition to the standard charter dial-a-ride service to accommodate the growing demands of people with disabilities and the elderly. SDAR is more operationally efficient than charter dial-a-ride services, allowing organizations to offer fare discount incentives for their passengers. However, though SDAR offers many potential benefits for both parties, it is not easily operated due to additional considerations required, such as users’ tolerance to earlier pick-up and later drop-off times, appropriate discount policies, implementation of a geographic information system to estimate fare prices and a vehicle scheduling mechanism to optimize resources. This paper discusses the service option of SDAR, examining the feasibility for community transportation organizations to serve more passengers at lower prices. A decision framework is formulated into a mathematical model for two types of passengers to address the major considerations of implementing a pricing policy and a vehicle scheduling mechanism. An efficient algorithm is then proposed to merge the dial-a-ride service orders. Finally, an experiment based on a data set from one organization has been conducted to evaluate the relationship between user tolerance of pick-up and drop-off times and the performance of merging orders for the SDAR service. From the experimental results, for instance, it is shown that a 10% discount in fare price with a 10-minute tolerance for pick-up and drop-off times would lead the organization to serve an additional 8.4% of users.

Supplemental Notes:

This paper was sponsored by TRB committee ABE60 Standing Committee on Accessible Transportation and Mobility.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-00205

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Mo, Daniel Y
Lee, Y C E
Wang, Yue
Cheung, Tommy K Y

Pagination:

14p

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; Tables

Subject Areas:

Operations and Traffic Management; Planning and Forecasting; Public Transportation

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-00205

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 9:58AM