A Comprehensive Analysis of Built Environment Characteristics on Household Residential Choice and Auto Ownership Levels

By Chandra R. Bhat, Jessica Y. Guo. 2007

714 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Transportation

View Paper: https://www.semanticscholar.org/paper/945229ae2a409aa5e80e9d442ee97bb0096bbaad

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Citations in the corpus

Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review (2014, methodology): “In the long-term, the vehicle ownership decisions are strongly tied with residential location and residential tenure (Bhat and Guo, 2007; Eluru et al., 2010a; Paleti et al., 2013b).”
When Transport Geography Meets Social Psychology: Toward a Conceptual Model of Travel Behaviour (2010, background): “Several recent studies (e.g. Schwanen and Mokhtarian, 2005a, 2005b; Bhat and Guo, 2007; Cao et al., 2007a, 2007b; Pinjari et al., 2007; Chen et al., 2008; Mokhtarian and Cao, 2008) argue that attitudes and preferences toward travel, activities and residential neighbourhoods are the true determinants”
Accommodating Spatial Correlation Across Choice Alternatives in Discrete Choice Models: Application to Modeling Residential Location Choice Behavior (2011, methodology): “…travel level of service (LOS) data were used to obtain spatial and built environment variables that characterize the choice behavior of households in the region (see Bhat and Guo, 2007 for a detailed description of these secondary data sets as well as the data extraction and merging procedures).”
The Impact of Demographics, Built Environment Attributes, Vehicle Characteristics, and Gasoline Prices on Household Vehicle Holdings and Use (2009, background): “…and usage (Golob and Wissen, 1989; Jong, 1990), and vehicle body type and usage (Bhat and Sen, 2006). travel perceptions on vehicle type choice (Choo and Mokhtarian, 2004), while another recent study recognized the impact of the built environment on vehicle ownership levels (Bhat and Guo, 2007).”
Going soft: on how Subjective Variables Explain Modal Choices for Leisure Travel (2011, background): “The question of residential self-selection is a clear example (e.g., Bagley and Mokhtarian, 2002; Bhat and Guo, 2007; Cao et al., 2006; Naess, 2009; Pinjari et al., 2007; Walker and Li, 2007).”
Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings (2009, methodology): “Potential limitations of this extension are similar to those of Bhat and Guo (2007).”
A New Generalized Heterogeneous Data Model (GHDM) to Jointly Model Mixed Types of Dependent Variables (2015, methodology): “However, again, these GLLAMM and IRT models have been predominantly used for cases with no nominal variables, though similar approaches can be used to generate dependence between a nominal variable and other kinds of variables too (see, for example, Bhat and Guo, 2007 and Pinjari et al., 2008).”
Do satisfying walking and cycling trips result in more future trips with active travel modes? An exploratory study (2019, background): “…recent studies have shown that the relationship between the built environment and travel behaviour is mediated by travel-related attitudes (e.g., Bhat & Guo, 2007; Cao et al., 2007; Chen, Gong, & Paaswell, 2008; Van Acker, van Wee, & Witlox, 2010) - and we therefore added a link from attitudes…”