Self-Selection in the Relationship between the Built Environment and Walking: Empirical Evidence from Northern California

By S. Handy, Xinyu Cao, Patricia L. Mokhtarian. 2006

702 citations recorded by the source corpus.

Subfields: Health, Toxicology and Mutagenesis, Sociology and Political Science, Transportation

View Paper: https://www.semanticscholar.org/paper/3b3afdf2be2bc1e9fb02f4bc79703da1233cfaef

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In Health, Toxicology and Mutagenesis

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Citations in the corpus

Satisfaction with the commute: The role of travel mode choice, built environment and attitudes (2017, methodology): “self-reported) measures have been used in the literature to measure the built environment (Handy et al., 2006).”
Walking, Urban Design, and Health (2008, methodology): “Do persons who wish to walk move to walking-oriented environments, or does the environment have a direct effect in influencing walking behavior (e.g., Greenwald and Boarnet 2002; Handy, Cao, and Mokhtarian 2006)?”
Travel and the Built Environment (2010, background): “…CA D LNR/TOR/ SE no NBR Greenwald & Boarnet, 2001 Portland, OR D OPR SE/LS no Handy & Clifton, 2001 6 neighborhoods in Austin, TX D LNR SE no Handy et al., 2006 8 neighborhoods in northern CA D NBR SE/AT yes Hedel & Vance, 2007 German Mobility Panel Survey D LNR/PRR SE/OT no Hess et al.,…”
Stepping towards causation: do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity? (2007, background): “Using a quasi-longitudinal design, Handy et al. (2006) concluded that the built environment influences walking behavior after taking neighborhood preferences and attitudes into account.”
Examining the impacts of neighborhood design and residential self-selection on active travel: a methodological assessment (2015, methodology): “Adapted from the methods used by Handy et al. (2006), respondents were asked to indicate how true 30 characteristics are for their current (for both movers and nonmovers) and previous (for movers only) neighborhoods, on a 4-point scale from “not at all true” (1) to “entirely true” (4).”
Exploring Causal Effects of Neighborhood Type on Walking Behavior Using Stratification on the Propensity Score (2010, methodology): “Handy et al (2006) used the same dataset and examined whether the influence of the built environment on walking behavior is causality or correlation.”
How Can Psychological Theory Help Cities Increase Walking and Bicycling? (2014, methodology): “Only two of the nine studies from the Ewing and Cervero (2010) meta-analysis (Fan, 2007; Handy et al., 2006) and three additional studies (Titze et al., 2007, 2008; Vernez-Moudon et al., 2005) look at bicycling separately from walking; all generally fi nd attitudes to be important, often more import”
Walkable streets: pedestrian behavior, perceptions and attitudes (2008, background): “There is also growing research on pedestrian behavior as it relates to people’s perceptions of safety, aesthetics, and other neighborhood characteristics (for example, Ross 2000, Zacharias 2001b, Day et al. 2006, Handy et al. 2006, and Brown et al. 2007).”
Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings (2009, methodology): “Handy et al. (2005, 2006) developed three ordered probit models to investigate whether changes in the BE influence changes in driving, walking and biking.”
Reasons for Living in a Transit-Oriented Development, and Associated Transit Use (2006, methodology): “Handy et al. (2006) did, however, find a significant relationship to walking, and Naess (2005) found that changes in travel behavior did become significant once people moved a certain distance from the downtown core.”
Neighborhood Built Environment and Income: Examining Multiple Health Outcomes (2009, background): “Adjusting for self-selection had virtually no effect on the odds ratios, raising questions about claims that the walkability–obesity association is due to self-selection (Handy et al., 2006; Frank et al., 2007; Eid et al., 2007).”
Physical activity and food environments: solutions to the obesity epidemic. (2009, background): “Most of the studies of physical activity environments have been cross-sectional, leading to criticism about whether apparent effects of environments can be explained by active people tending to choose activity-friendly communities (Handy, Cao, and Mokhtarian 2006).”
Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2008, background): “Handy et al., 2006 ), there are many reasons for improving the BE beyond influencing travel behavior (such as increasing the diversity of available housing options), and even small contributions can be useful at the margin.”