TY  - JOUR
PY  - 2023//
TI  - Identifying latent variables for active cycling mobility. An application for university students
JO  - Transportation research procedia
A1  - Espino, Raquel
SP  - 140
EP  - 147
VL  - 71
IS  - 
N2  - This paper proposes the definition of possible latent variables that determine the choice of cycling as a mode of transport. To this end, an ad hoc survey was carried out among university students at the University of Las Palmas de Gran Canaria. In this survey, in addition to characterising the student's journey, a specific section on the use of bicycles allows the identification of possible latent variables for this choice and target sample. A Principal Component Analysis (PCA) was carried out with the aim of identifying the latent variables. The PCA identifies three latent variables: convenience, infrastructure and safety. Preliminary models of intention to cycle show that the most influential variables are distance, whether the user is female, and the latent variable convenience, which has a positive effect on intention to cycle.<p />  <p>Language: en</p>
LA  - en
SN  - 2352-1465
UR  - http://dx.doi.org/10.1016/j.trpro.2023.11.068
ID  - ref1
ER  -