Examining the impacts of residential self-selection on travel behavior: A focus on methodologies

By Patricia L. Mokhtarian, Xinyu Cao. 2008

855 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Transportation

View Paper: https://www.semanticscholar.org/paper/a244f0eea5ccb3bf0b15d17c0e8039cc2a0c6e06

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In Transportation

Citations in the corpus

When Transport Geography Meets Social Psychology: Toward a Conceptual Model of Travel Behaviour (2010, background): “This might be due to individual perceptions, attitudes and preferences toward location, activity and travel behaviour (van Wee, 2002; Mokhtarian and Cao, 2008).”
Do satisfying walking and cycling trips result in more future trips with active travel modes? An exploratory study (2019, background): “…effect of mode-specific attitudes on the choice of that mode. also demonstrated statistically significant direct associations between the built environment and travel behaviour, independent of self-selection influences (Cao, Mokhtarian, & Handy, 2009; Ewing & Cervero, 2010; Mokhtarian & Cao, 2008).”
Shedding light on the psychological and behavioral determinants of travel mode choice: A meta-analysis (2017, positive): “…level of analysis might increase the complexity of the model; yet, such approach could shed further light on the real motives underpinning modal choice, and different methodologies have been proposed in literature to address endogeneity biases (Mokhtarian & Cao, 2008; Winship & Morgan, 1999).”
Travel and the Built Environment (2010, background): “At least 38 studies using nine different research approaches have attempted to control for residential self-selection ( Cao, Mokhtarian, & Handy, 2009a ; Mokhtarian & Cao, 2008 ).”
How to Write a Literature Review Paper? (2016, background): “The topic of residential self-selection provides a nice example: Mokhtarian and Cao (2008) review the literature from a methodological angle, whereas Cao, Mokhtarian, and Handy (2009) review this literature from an empirical angle.”
Measuring the car ownership impact of free-floating car-sharing – A case study in Basel, Switzerland (2018, background): “Furthermore, it must be assumed that a retrospective survey approach like this prompts recall bias [11, 12], particularly affecting estimates of vehicle miles travelled.”
Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions (2011, background): “…(Ben-Akiva and Salomon, 1983; Wegener et al., 2001) and has been identified as a source of residential self-selection effects, where people self-select into specific neighborhoods depending on their lifestyle and mobility preferences (Cao et al., 2006; Bhat and Guo 2007; and Pinjari et al., 2007).”
Self-Selection in Home Choice (2008, background): “Mokhtarian and Cao listed the following seven approaches to help address the self-selection issue and possibly to disentangle the relationship between the built environment and travel behavior: direct questioning, statistical control, instrumental variables models, sample selection models, joint dis”
Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2013, result): “During the last two decades, we have seen an explosion in the deployment of pervasive systems like cellular networks, GPS devices, and WiFi hotspots that allow us to capture massive amounts of real-time data related to people and cities (Reades et al., 2007; Gonzalez et al., 2008; Wang et al., 2009)”
Key research themes on travel behavior, lifestyle, and sustainable urban mobility (2016, background): “A variety of attitudes or orientations toward family, work, leisure, and consumption exists, which might explain the different behavior patterns within population groups otherwise considered socioeconomically homogenous (Mokhtarian & Cao, 2008; van Wee, 2002).”
Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis (2015, background): “This is known as the self-selection problem in the travel behaviour literature (Ewing and Cervero, 2010; Mokhtarian and Cao, 2008).”
In search of causality: a systematic review of the relationship between the built environment and physical activity among adults (2011, methodology): “…questioning, statistical control, instrumental variable analysis, sample selection models, joint discrete choice models, and structural equation models, as well as quasi-experimental study designs may reduce bias in estimated associations between the built environment and physical activity [23].”