Circuity in urban transit networks
Jie Huang and
David Levinson
Journal of Transport Geography, 2015, vol. 48, issue C, 145-153
Abstract:
This paper investigates the circuity of transit networks and examines auto mode share as a function of circuity and accessibility to better understand the performance of urban transit systems. We first survey transit circuity in the Minneapolis–St. Paul, Minnesota, region in detail, comparing auto and transit trips. This paper finds that circuity can help to explain mode choices of commuters. We then investigate thirty-five additional metropolitan areas in the United States. The results from these areas show that transit circuity exponentially declines as travel time increases. Moreover, we find that the circuity of transit networks is higher than that of road networks, illustrating how transit systems choose to expand their spatial coverage at the expense of directness and efficiency in public transportation networks. This paper performs a regression analysis that suggests the circuity of transportation networks can estimate transit accessibility, which helps to explain mode share.
Keywords: Circuity; Accessibility; Transit networks; Network efficiency; Mode share; Public transportation (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0966692315001672
Related works:
Working Paper: Circuity in Urban Transit Networks (2015) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jotrge:v:48:y:2015:i:c:p:145-153
DOI: 10.1016/j.jtrangeo.2015.09.004
Access Statistics for this article
Journal of Transport Geography is currently edited by Frank Witlox
More articles in Journal of Transport Geography from Elsevier
Bibliographic data for series maintained by Catherine Liu ().