Residential Self Selection and Rail Commuting: A Nested Logit Analysis
Robert Cervero and
Michael Duncan
University of California Transportation Center, Working Papers from University of California Transportation Center
Abstract:
Past studies show that those living near train stations tend to rail-commute far more often than the typical resident of rail-served cities. Some contend this is largely due to selfselection, marked by those with an affinity to transit riding consciously moving into neighborhoods that are well-served by transit. This article explores the self-selection question by constructing a nested logit model that jointly estimates the probability someone will reside near a rail stop and in turn commute by rail transit, using year-2000 travel data from the San Francisco Bay Area. A multinomial logit model is also used to predict car ownership levels. The research reveals that residential location and commute choice are jointly related decisions among station-area residents. A comparison of odds ratios among those living near and away from transit, controlling for the influences of other factors, suggests that residential self-selection accounts for approximately 40 percent of the rail-commute decision. These findings suggest that supportive zoning should be introduced and barriers to residential mobility should be eliminated to allow the self-selection process to occur naturally through the marketplace.
Keywords: Architecture (search for similar items in EconPapers)
Date: 2008-06-01
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Citations: View citations in EconPapers (7)
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Persistent link: https://EconPapers.repec.org/RePEc:cdl:uctcwp:qt72p9n6qt
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