Do changes in neighborhood characteristics lead to changes in travel behavior? A structural equations modeling approach
By Xinyu Cao, Patricia L. Mokhtarian, S. Handy. 2007
483 citations recorded by the source corpus.
Subfields: Health, Toxicology and Mutagenesis, Transportation
View Paper: https://www.semanticscholar.org/paper/bf6e290c65b58128af301c426637112eb7fdce9d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Health, Toxicology and Mutagenesis
- J. De Vos
- Frank Witlox
- Xinyu Cao
- Veronique Van Acker
- Tim Schwanen
- Patricia L. Mokhtarian
- G. McCormack
- A. Shiell
In Transportation
- J. De Vos
- Frank Witlox
- Veronique Van Acker
- Tim Schwanen
- Bert van Wee
- Patricia L. Mokhtarian
- Xinyu Cao
- P. Singleton
Citations in the corpus
- Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis (2015, methodology): “Some recent studies have applied advanced modelling approaches, such as structural equation models (SEM), in order to tackle the endogenous effect of residential preferences or self-selection on travel behaviour (Cao, 2010; Cao et al., 2007; Zegras et al., 2012).”
- An Empirical Analysis of Urban Form, Transport, and Global Warming (2008, background): “3 Urban density has been shown to cause negative effects on other types of trips (Greenwald and Boarnet, 2001; Bagley and Mokhtarian, 2002; Cao et al., 2006; Khattak and Rodriguez, 2005; Schwanen and Mokhtarian, 2005; Cao et al., 2007).”
- Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2008, methodology): “This is captured by the coefficient a of BE in the equation for TB, and represents the true effect of BE on TB (however, see Cao et al., 2007 for a discussion of the case in which c is insignificant).”
- Non-normality of Data in Structural Equation Models (2008, background): “Structural equation modeling (SEM) has been theoretically and empirically demonstrated to be powerful in disentangling complex causal linkages among variables in social studies, and has become more and more popular in studying the relationships between travel behavior and the built environment(1, 2 ”
- 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…”
- Travel satisfaction revisited : on the pivotal role of travel satisfaction in conceptualizing a travel behavior process (2017, background): “…and Nieuwenhuis, 2017), individuals with an affinity towards a certain travel mode might also have a preference for a residential location facilitating the use of this favoured mode (e.g., Cao et al., 2007; De Vos et al., 2012; Handy et al., 2005; Schwanen and Mokhtarian, 2005; van Wee, 2009).”
- Do satisfying walking and cycling trips result in more future trips with active travel modes? An exploratory study (2019, background): “…can be outcome (dependent variable) in one set of relationships and simultaneously predictor of outcomes (explanatory variable) in other relationships, making it possible to quantify direct and indirect effects of one factor to another (Cao et al., 2007; Golob, 2003; Van Acker & Witlox, 2010).”
- Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review (2014, background): “A n ow ar et al. Brownstone and Fang (2009) USA Travel Survey BMOPT VO and VU p p – p p p – p Schimek (1996) USA Travel Survey Two-equation system simultaneous equation model VO and VU p p – p p p – p Chen, Gong, and Paaswell (2008) USA Travel Survey Two-equation system simultaneous equation model V”
- In search of causality: a systematic review of the relationship between the built environment and physical activity among adults (2011, methodology): “…during good weather to increase as the number of business types within 1600 m of home Quasi-longitudinal findings from the same dataset suggested that movers reported doing more walking and biking one-year post move if their current neighborhood included an increased mix of businesses [44,45].”
- The influence of residential dissonance on travel behavior (2012, unknown): “A person who prefers public transit, for instance, often has an affinity for urban residential neighborhoods, as public transit is best organized in these urban areas (Bhat and Guo, 2007; Cao et al., 2007; Chen et al., 2008; Schwanen and Mokhtarian, 2005b; van Wee, 2009; van Wee et al., 2002).”