2013
DOI: 10.1080/15568318.2012.673694
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Bicycling Choice and Gender Case Study: The Ohio State University

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Cited by 157 publications
(111 citation statements)
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“…Different from earlier findings about the effect of built-environment characteristics on cycling (Cervero, 1996;van Wee, Holwerda, & van Baren, 2002), we find that population density and access to railway facilities do not have an impact on commute mode shift. Likewise, our outcomes do not confirm studies that found significant effects of sociodemographics (Akar, Fischer, & Namgung, 2012;Dill & Voros, 2007), since neither age, gender, work status, household composition nor education has an impact on commute mode shift to or from cycling. In this respect, it should be noted that the set of built-environment and sociodemographic variables was probably more restricted than in other studies, and that we did not study current mode choice, but mode change.…”
Section: Conclusion and Discussioncontrasting
confidence: 99%
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“…Different from earlier findings about the effect of built-environment characteristics on cycling (Cervero, 1996;van Wee, Holwerda, & van Baren, 2002), we find that population density and access to railway facilities do not have an impact on commute mode shift. Likewise, our outcomes do not confirm studies that found significant effects of sociodemographics (Akar, Fischer, & Namgung, 2012;Dill & Voros, 2007), since neither age, gender, work status, household composition nor education has an impact on commute mode shift to or from cycling. In this respect, it should be noted that the set of built-environment and sociodemographic variables was probably more restricted than in other studies, and that we did not study current mode choice, but mode change.…”
Section: Conclusion and Discussioncontrasting
confidence: 99%
“…These studies have addressed how mode choice is affected by residential characteristics such as land use and accessibility (e.g., Cervero, 1996;Chen, Gong, & Paaswell, 2008;Frank & Pivo, 1994;Hanson & Schwab, 1987); neighborhood preferences (e.g., Schwanen & Mokhtarian, 2005; van Wee, Holwerda, & van Baren, 2002); travel-related attributes such as cost, time, and comfort (e.g., Yagi & Mohammedian, 2007); and issues such as parking and/or congestion (Washbrook, Haider, & Jaccard, 2006). In the context of cycling, analyses have addressed the effects of socioeconomic and demographic factors (e.g., Akar, Fischer, & Namgung, 2012;Dill & Voros, 2007); weather and climate (e.g., Hanson & Hanson, 1977;Nankervis, 1999); work culture (Heinen, Maat, & van Wee, 2012), and facilities at work (Stinson & Bhat, 2004). A detailed overview of literatures on bicycle use can be found in Heinen, van Wee, and Maat (2010).…”
Section: Introductionmentioning
confidence: 99%
“…A number of studies have found that striped bicycle lanes Dill and Carr 2003;Krizek and Johnson 2006); off-street bike paths (Akar, Fischer, and Namgung 2013;Dill and Voros 2007;Parkin, Wardman, and Page 2008); bicycle boulevards (Broach, Dill, and Gliebe 2012); and low-traffic streets are associated with more bicycling (Emond, Tang, and Handy 2009;Winters et al 2010). In addition to the bicycle infrastructure, more and more studies find that other aspects of the built environment may support bicycling.…”
Section: Methodsmentioning
confidence: 99%
“…Previous research has noted that infrastructure that supports biking safety may be a more significant influence on women compared with men [43]. Further research should address whether this would also be relevant for parents actively traveling with their children.…”
Section: Discussionmentioning
confidence: 95%