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Cycling usage and frequency determinants in college campuses
Abstract This study explores the cycling usage and frequency determinants in college campuses located in the Baltimore Metropolitan Area. The study discerns the attitudes of individuals toward the proposed infrastructure and environmental improvements with the goal of promoting biking to campus. We develop a structural equation model (SEM) using the travel information of 780 individuals, which was collected between December 2014 and June 2015. The results indicate risk factors have a higher explanatory value on bike-to-campus frequency than campus infrastructure and program. We further examine how and to what extent mixed populations on college campuses respond to latent factors. The findings pinpoint that males are less concerned about the risk-related indicators such as theft and road and environment-related obstacles such as poor road conditions. However, females have a positive attitude toward campus-related improvements such as pro-bike programs. Overall, students show a negative attitude toward the road and environmentally-related obstacles compared to staff and faculty. Minority groups, specifically African American and Asian, show a positive attitude toward campus-related improvements, unlike white participants. The findings can assist planners and advocates in implementing effective policy measures to increase bike-to-campus frequency.
Highlights Minorities have a positive attitude toward campus-related improvements. Students have a negative attitude toward road and environmentally-related obstacles, compared to staff and faculty Females are more concerned about risk-related indicators and environment related obstacles. Females have a positive attitude toward campus-related improvements such as pro-bike programs. Strong/fearless and enthused/confident cyclists were less concerned about road and environmentally-related indicators.
Cycling usage and frequency determinants in college campuses
Abstract This study explores the cycling usage and frequency determinants in college campuses located in the Baltimore Metropolitan Area. The study discerns the attitudes of individuals toward the proposed infrastructure and environmental improvements with the goal of promoting biking to campus. We develop a structural equation model (SEM) using the travel information of 780 individuals, which was collected between December 2014 and June 2015. The results indicate risk factors have a higher explanatory value on bike-to-campus frequency than campus infrastructure and program. We further examine how and to what extent mixed populations on college campuses respond to latent factors. The findings pinpoint that males are less concerned about the risk-related indicators such as theft and road and environment-related obstacles such as poor road conditions. However, females have a positive attitude toward campus-related improvements such as pro-bike programs. Overall, students show a negative attitude toward the road and environmentally-related obstacles compared to staff and faculty. Minority groups, specifically African American and Asian, show a positive attitude toward campus-related improvements, unlike white participants. The findings can assist planners and advocates in implementing effective policy measures to increase bike-to-campus frequency.
Highlights Minorities have a positive attitude toward campus-related improvements. Students have a negative attitude toward road and environmentally-related obstacles, compared to staff and faculty Females are more concerned about risk-related indicators and environment related obstacles. Females have a positive attitude toward campus-related improvements such as pro-bike programs. Strong/fearless and enthused/confident cyclists were less concerned about road and environmentally-related indicators.
Cycling usage and frequency determinants in college campuses
Kelarestaghi, Kaveh Bakhsh (Autor:in) / Ermagun, Alireza (Autor:in) / Heaslip, Kevin P. (Autor:in)
Cities ; 90 ; 216-228
09.02.2019
13 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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