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Modeling commuting flows via fixed components

Modeling commuting flows via fixed components

Category
Academic article
Abstract
The basic, reasonable hypothesis underlying this paper is that many individuals are comfortable with their current combination of job and residential location and have no intention of changing job location or moving from where they live. This causes autocorrelation in the time series of commuting flows and provides a rationale for introducing fixed components in the trip distribution model. The fixed components are assumed to be constant in time and separated from the observed trip distribution. We next consider the residuals and fit the model by a constrained entropy-maximization procedure. Based on commuting data from Stockholm County in Sweden, the fixed component spatial interaction model is demonstrated to lead to a substantial improvement in goodness of fit compared with conventional spatial interaction models. The identification of fixed components leads to significantly lower estimates of the distance deterrence parameter, and fixed components are further argued to be potentially useful in a prediction perspective. The distance deterrence parameter in the fixed component model reflects the spatial interaction of workers who are actually considering changes in their residential and/or job location. We also compare alternative measures of spatial separation and discuss differences in commuting behaviour by gender.
Language
English
Author(s)
  • Sahar Babri
  • Kurt Jørnsten
  • Inge Heldal Thorsen
  • Jan Ubøe
Affiliation
  • SINTEF Community / Mobility and Economics
  • Norwegian School of Economics
  • Western Norway University of Applied Sciences
Date
20.05.2020
Year
Published in
Transportation Science
ISSN
0041-1655
Publisher
Institute for Operations Research and the Management Sciences (INFORMS)
Volume
54
Issue
5
Page(s)
1225 - 1237