Copula-Based Approach to Accommodate Residential Self-Selection Effects in Travel Behavior Modeling

By Chandra R. Bhat, Naveen Eluru. 2009

332 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Transportation

View Paper: https://www.semanticscholar.org/paper/b589cfbcc987fe44f999f3268380f4434508af4f

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Citations in the corpus

Travel and the Built Environment (2010, methodology): “Using data from the 2000 San D ow nl oa de d by [ U ni ve rs ity o f A ri zo na ] at 0 0: 29 2 3 D ec em be r 20 12 Francisco Bay Area travel survey, Bhat and Eluru (2009) found that 87% of the VMT difference between households residing in conventional suburban and traditional urban neighborhoods…”
A joint model for mode choice and escort decisions of school trips (2015, methodology): “It should be noted that sign of these coefficients differ among different copula formulations (Bhat and Eluru 2009).”
Joint model of freight mode choice and shipment size: A copula-based random regret minimization framework (2019, methodology): “In our analysis, we employ six different copula structures – Gaussian copula, Farlie-Gumbel-Morgenstern (FGM) copula, and a set of Archimedean copulas including Frank, Clayton, Joe and Gumbel copulas (a detailed discussion of these copulas is available in Bhat and Eluru, 2009).”
Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review (2014, background): “One important advantage of the approach is that the resulting model has a closed-form probability expression allowing for maximum likelihood-based estimation (Bhat & Eluru, 2009).”
The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. (2011, background): “(2010), Bhat and Eluru (2009) provide a detailed explanation of the approach.”
Compactness versus Sprawl (2015, methodology): “Using data from the 2000 San Francisco Bay Area travel survey, Bhat and Eluru (2009) found that 87 percent of the VMT difference between households residing in conventional suburban and traditional urban neighborhoods is due to ‘‘true’’ built environment effects, while the remainder is due to…”
Big data, traditional data and the tradeoffs between prediction and causality in highway-safety analysis (2020, methodology): “…time (see Hamed and Mannering, 1993; Bhat, 1996, 1998), the approach has only been relatively more recently applied to models in the safety literature (Eluru and Bhat, 2007; Bhat and Eluru, 2009; Oh and Shankar 2011; Spissu et al., 2009; Pinjari et al., 2009; Abay et al., 2013; Bhat et al., 2014).”
Joint Analysis of Injury Severity of Drivers in Two-Vehicle Crashes Accommodating Seat Belt Use Endogeneity (2013, methodology): “Second, our proposed formulation constitutes a specific version of the generalized Roy model that is referred to as the treatment effects model (see Heckman and Vytlacil, 2005 and Bhat and Eluru, 2009).”