Residential dissonance and mode choiceMd. Kamruzzaman, Douglas Charles Baker, Simon P. Washington, Gavin Turrell2013-10-01articleJournal of Transport Geography99 citationsbronzeNo readable copy stored yet — this record is metadata only.Urban Transport and AccessibilityTransportation Planning and OptimizationTransportation and Mobility InnovationsAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 99 citations exist upstream.References1991The theory of planned behavior1997Travel demand and the 3Ds: Density, diversity, and design1989Approaches to Social Research2005Linking objectively measured physical activity with objectively measured urban form2005Correlation or causality between the built environment and travel behavior? Evidence from Northern California2002Built environments and mode choice: toward a normative framework2001Identifying the Impacts of Rail Transit Stations on Residential Property Values2007Examining the impacts of residential self-selection on travel behavior: A focus on methodologiesCited by2014Investigating the interplay between transport, land use and the environment: a review of the literature [Editorial]2015Heterogeneous effects of neighborhood type on commute mode choice: An exploration of residential dissonance in the Twin Cities2021The indirect effect of the built environment on travel mode choice: A focus on recent movers2017What drives sustainable student travel? Mode choice determinants in the Greater Toronto Area2014The influence of attitudes on Transit-Oriented Development: An explorative analysis2020Residential self-selection in the relationship between the built environment and travel behavior: A literature review and research agenda2018TOD residents’ attitudes toward walking to transit station: a case study of transit-oriented developments (TODs) in Bangkok, Thailand2018Taste heterogeneity as an alternative form of endogeneity bias: Investigating the attitude-moderated effects of built environment and socio-demographics on vehicle ownership using latent class modeling