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Title:

Determination of Optimal Bus Stop Locations using Spatial Data Analysis Approach

Accession Number:

01702245

Record Type:

Component

Abstract:

Existing studies indicate that optimal spacing between bus stops improves the quality of service, travel time and other transit service parameters. In this study a heuristic methodology is proposed to optimize the number of stops in an existing bus network by eliminating redundant stops in the network using an iterative approach. It is postulated in this paper that optimal stop spacing can substantially lower the operating costs as it can reduce fleet size requirements without affecting the performance of the transit system. The proposed methodology attempts to eliminate undesired stops based on two key parameters: i) stop spacing, and ii) passenger boarding at stops supplemented with re-distribution of boarding at undesirable stops. Two performance parameters such as in-vehicle travel time, and access distance are considered to evaluate the performance of the modified bus network and comparing the results with the existing network. The optimal stop spacing is decided based on projected demand (ridership) loss and assessment of the performance parameters. The findings of this paper are expected to serve as a decision support tool to transit planners by offering additional flexibility to adopt appropriate bus stop spacing for an existing network.

Report/Paper Numbers:

19-02296

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Sahu, Prasanta K
Mahapatra, Surya P
Mehran, Babak
Sharma, Satish

Pagination:

5p

Publication Date:

2019

Conference:

Transportation Research Board 98th Annual Meeting

Location: Washington DC, United States
Date: 2019-1-13 to 2019-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

References; Tables

Subject Areas:

Planning and Forecasting; Public Transportation

Source Data:

Transportation Research Board Annual Meeting 2019 Paper #19-02296

Files:

TRIS, TRB, ATRI

Created Date:

Apr 17 2019 3:52PM

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