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Erschienen in: Transportation 1/2020

16.05.2018

Using propensity score matching technique to address self-selection in transit-oriented development (TOD) areas

verfasst von: Arefeh Nasri, Carlos Carrion, Lei Zhang, Babak Baghaei

Erschienen in: Transportation | Ausgabe 1/2020

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Abstract

Many studies have investigated the effects of transit-oriented development (TOD) on travel behavior, especially on transit ridership. However, most studies do not explicitly and effectively address the issue of residential self-selection in their analyses. The aim of this paper is to use cross-sectional data and propensity score matching (PSM) technique to quantify the contribution of residential self-selection to the analysis of mode choice in TOD areas across the metropolitan areas of Washington, D.C. and Baltimore, MD. The authors use PSM because it does not make substantive assumptions to the structure of the self-selection problem (e.g., explicit modeling of outcome and treatment). The results of PSM indicate that, even though the self-selection effect is considerable in the analysis of mode choice in TOD areas (about 7.65% in Washington, D.C. and 5.05% in Baltimore), living in TOD still has a significant impact on encouraging transit and other active modes of transportation.

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Fußnoten
1
The entropy formula has been widely used in several land-use and transportation related articles (Nasri and Zhang 2014; Zhang et al. 2012): \(Entropy\, = \, - \,\sum\nolimits_{j} {\frac{{P_{j} ln\left( {P_{j} } \right)}}{ln\left( J \right)}}\).
 
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Metadaten
Titel
Using propensity score matching technique to address self-selection in transit-oriented development (TOD) areas
verfasst von
Arefeh Nasri
Carlos Carrion
Lei Zhang
Babak Baghaei
Publikationsdatum
16.05.2018
Verlag
Springer US
Erschienen in
Transportation / Ausgabe 1/2020
Print ISSN: 0049-4488
Elektronische ISSN: 1572-9435
DOI
https://doi.org/10.1007/s11116-018-9887-2

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