Predictors of Cycling in College Students

Abstract

Abstract. Objectives: To: (1) assess cycling-related questions which have been added to the electronic version of the NCHA-ACHA II, (2) examine cycling prevalence; and (3) identify predictors of cycling in college students. Participants: Predominately female (69%), undergraduate (89%), and White (85%) students (N = 949) from a large, urban, northwestern, bicycle-friendly university completed the electronic version of the NCHA-ACHA II. Methods:Thirty cycling-related questions were added to the NCHA-ACHA II and a subsample of questions was analyzed. Results: Cycling questions added to the NCHA-ACHA II scale were reliable and valid, based on the psychometric data analysis. More than half (59%) of this sample cycled; of those, 58% cycled for transportation and 44% for recreation. Facilitators and barriers to cycling were different for cycling in general and cycling for transportation. Conclusions:Cycling questions added to the NCHA-ACHA II can be utilized to enhance knowledge relative to cycling on college campuses.

Bikeability: Assessing the Objectively Measured Environment in Relation to Recreation and Transportation Bicycling

“…Exploratory factor analysis (EFA) was used to identify the underlying essential structure of the environmental variables under consideration (T. A. Brown, 2015;Ogilvie, Mitchell, Mutrie, Petticrew, & Platt, 2008;Ransdell, Mason, Wuerzer, & Leung, 2013). Clustering by study site was accounted for in the EFA.…”

“…A. Brown, 2015; Ogilvie, Mitchell, Mutrie, Petticrew, & Platt, 2008; Ransdell, Mason, Wuerzer, & Leung, 2013). Clustering by study site was accounted for in the EFA.…”

“…Brown, 2015; Costello & Osborne, 2005; Fabrigar, Wegner, MacCallum, & Strahan, 1999; Strohacker & Zakrajsek, 2016). To simplify the structure of the factors or indices, oblique (geomin) rotation was used (Ransdell et al, 2013). As set forth by Costello and Osborne (2005), the final factor(s) for this index were considered the best fit if they had item loadings above .30, no cross-loading (variable exhibits loadings greater than .30 on two or more factors), and at least three variables.…”

Intrapersonal and Environmental Correlates of Bicycling in U.S. Adults

“…4 However, there is limited research on the factors associated with bicycling in the U.S. 5–9 Further, evidence suggests that factors associated with bicycling behavior differ depending on domain, recreation, or transportation. 10–12 To date, domain-specific bicycling and correlates have not been examined in U.S. adults using nationally representative data.…”

Barriers and enablers to local active travel during COVID-19: A case study of Streetspace interventions in two London boroughs

“…Changing the built environment is the most common type of approach ( Kärmeniemi et al ., 2018 ; Smith et al ., 2017 ). Physically separating motorised traffic from cyclists and pedestrians (e.g., cycling lanes, widened pavements, traffic-free zones, and LTNs), installing zebra crossings, and providing safe parking spaces to minimise the risk of theft, vandalism, and weather damage have shown robust positive effects on active travel ( Aldred, 2016 ; Kärmeniemi et al ., 2018 ; Petrunoff et al ., 2017 ; Pooley et al ., 2013 ; Pucher & Buehler, 2008 ; Ransdell et al ., 2013 ; Smith et al ., 2017 ). For reviews of walking and cycling interventions and environmental determinants, see Aldred (2019) , Barnett et al .…”