Generating route-level mutually exclusive service areas: comparative study of alternative methods

Lee, Sanggu, Tong, Daoqin and Hickman, Mark (2013) Generating route-level mutually exclusive service areas: comparative study of alternative methods. Transportation Research Record, 2350 Transit 2013, Vol. 1: 37-46. doi:10.3141/2350-05

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
HCA15UQ322980.pdf Full text (open access) application/pdf 2.28MB 0

Author Lee, Sanggu
Tong, Daoqin
Hickman, Mark
Title Generating route-level mutually exclusive service areas: comparative study of alternative methods
Journal name Transportation Research Record   Check publisher's open access policy
ISSN 0361-1981
ISBN 9780309287005
Publication date 2013-12-01
Year available 2014
Sub-type Article (original research)
DOI 10.3141/2350-05
Open Access Status File (Publisher version)
Volume 2350
Issue Transit 2013, Vol. 1
Start page 37
End page 46
Total pages 10
Place of publication Washington, DC, United States
Publisher U.S. National Research Council, Transportation Research Board
Language eng
Formatted abstract
Willing-to-walk distance was investigated as a means of measuring spatial accessibility of bus stops and of examining the effectiveness of alternative methods of generating mutually exclusive transit service areas at the route level. First, the walking distance to and from a transit stop was investigated with onboard survey data. Two methods in geographical information systems—the combination of Thiessen polygon and buffer and the network distance-based service area—were compared as strategies for generating mutually exclusive service areas. For the examination of the effectiveness of these two methods, all mutually exclusive service areas were validated with a spider diagram generated from an onboard survey. Measures of urban form were also statistically tested for comparison of the two methods. A case study of a single route, serving the Minneapolis-Saint Paul, Minnesota, metropolitan area, was performed with data from various sources, such as Google's General Transit Feed Specification, an onboard survey, parcel-level land uses, and the U. S. Census street network. Validation with onboard survey data demonstrates the strengths of each method. Results also show that the network-based service area, a popular geographical information system method for service area analysis, does not yield a more meaningful strategy for generating mutually exclusive transit catchment areas, especially when spacing between stops is very small.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes Online Date Monday, January 20, 2014

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 2 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Thu, 13 Feb 2014, 00:08:07 EST by Mark Hickman on behalf of School of Civil Engineering