Modeling the Commute Mode Share of Transit Using Continuous Accessibility to Jobs

Andrew Owen and David Levinson

No 115, Working Papers from University of Minnesota: Nexus Research Group

Abstract: This paper presents the results of an accessibility-based model of aggregate commute mode share, focusing on the share of transit relative to auto. It demonstrates the use of continuous accessibility — calculated continuously in time, rather than at a single or a few departure times — for the evaluation of transit systems. These accessibility calculations are accomplished using only publicly-available data sources. A binomial logit model is estimated which predicts the likelihood that a commuter will choose transit rather than auto for a commute trip based on aggregate characteristics of the surrounding area. Variables in this model include demographic factors as well as detailed accessibility calculations for both transit and auto. The model achieves a rho^2 value of 0.597, and analysis of the results suggests that continuous accessibility of transit systems may be a valuable tool for use in modeling and forecasting.

Keywords: travel behavior; accessibility; mode choice (search for similar items in EconPapers)
JEL-codes: R14 R41 R42 (search for similar items in EconPapers)
Date: 2013
New Economics Papers: this item is included in nep-for, nep-tre and nep-ure
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Citations: View citations in EconPapers (4)

Published in Transportation Research part A Volume 74, April 2015, Pages 110–122

Downloads: (external link)
http://hdl.handle.net/11299/180066 Second version, 2015 (application/pdf)

Related works:
Journal Article: Modeling the commute mode share of transit using continuous accessibility to jobs (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:nex:wpaper:modelingcommutemodeshare

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