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Location choice for a continuous simulation of long periods under changing conditions

Qian An (), Peter Gordon () and James Moore II ()
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Qian An: University of Southern California, Postal: University of Southern California, Los Angeles, CA 90089
Peter Gordon: University of Southern California, Postal: University of Southern California, Los Angeles, CA 90089
James Moore II: University of Southern California, Postal: University of Southern California, Los Angeles, CA 90089

The Journal of Transport and Land Use, 2014, vol. 7, issue 2, 85-103

Abstract: Relatively little attention has been paid to the relationship between commute time variances and city size. In this paper, we utilize 2009 Nationwide Highway Travel Survey data and test the relationship between area commute-time means as well as variances in metropolitan-area size. We include tests for metropolitan areas as a whole and for residents from urban, suburban, second city, and town-and-county areas. The regression analysis shows that all estimated slopes are statistically significant but not much greater than zero. Commute time means and variances are highly correlated. These relationships are also invariant with respect to the place of residence. An extensive collection of literature provides evidence for the co-location of workers and jobs hypothesis: average commute times do not rise appreciably as metropolitan population increases. We conclude that these results are additional, although indirect, evidence for the co-location hypothesis.

Keywords: Commute Time; Variance; Population; Sprawl; Co-location (search for similar items in EconPapers)
JEL-codes: R40 (search for similar items in EconPapers)
Date: 2014
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https://www.jtlu.org/index.php/jtlu/article/download/547/410 Location choice for a continuous simulation of long periods under changing conditions (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:ris:jtralu:0131

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