TY - JOUR
T1 - How do psychological, habitual and built environment factors influence cycling in a city with a well-connected cycling infrastructure?
AU - Verduzco Torres, J. Rafael
AU - Hong, Jinhyun
AU - McArthur, David Philip
N1 - Publisher Copyright:
© 2021 The Institute of Urban Sciences.
PY - 2022
Y1 - 2022
N2 - Many scholars have sought effective ways to encourage people to cycle more. A considerable amount of effort has focused on the role of dedicated cycling infrastructure. However, knowledge on the roles and interactions of other factors that are influential in addition to infrastructure in cities where the cycling network is well-developed remains incomplete. In this study, we examined how various individual-level attributes, namely psychological, habitual, and socio-demographic, in addition to the built environment characteristics relate to cycling behaviour of employees of the Erasmus University Rotterdam, in the Netherlands, where comprehensive cycling infrastructure is provided. Specifically, we investigated how these factors relate to being a cyclist or not, as well as how they are associated with regular and irregular cyclists. An online survey was conducted among employees of the university and logistic regression models were utilized for the analyses. Our results showed that the perception of behavioural control is consistently correlated with different cycling behaviour while controlling for socio-demographic and residential built environment factors. Also, we found evidence supporting a trade-off between attitudes and habit across different types of commuters. Socio-demographic factors such as gender and year of immigration to the Netherlands are only related to being engaged in cycling but not to increasing the level of engagement among employees who cycled already. The type of residential area and population/business density at destinations does not appear as a consistent covariate. We concluded that psychological and habitual factors play key roles in encouraging cycling in a city with an extensive cycling infrastructure network.
AB - Many scholars have sought effective ways to encourage people to cycle more. A considerable amount of effort has focused on the role of dedicated cycling infrastructure. However, knowledge on the roles and interactions of other factors that are influential in addition to infrastructure in cities where the cycling network is well-developed remains incomplete. In this study, we examined how various individual-level attributes, namely psychological, habitual, and socio-demographic, in addition to the built environment characteristics relate to cycling behaviour of employees of the Erasmus University Rotterdam, in the Netherlands, where comprehensive cycling infrastructure is provided. Specifically, we investigated how these factors relate to being a cyclist or not, as well as how they are associated with regular and irregular cyclists. An online survey was conducted among employees of the university and logistic regression models were utilized for the analyses. Our results showed that the perception of behavioural control is consistently correlated with different cycling behaviour while controlling for socio-demographic and residential built environment factors. Also, we found evidence supporting a trade-off between attitudes and habit across different types of commuters. Socio-demographic factors such as gender and year of immigration to the Netherlands are only related to being engaged in cycling but not to increasing the level of engagement among employees who cycled already. The type of residential area and population/business density at destinations does not appear as a consistent covariate. We concluded that psychological and habitual factors play key roles in encouraging cycling in a city with an extensive cycling infrastructure network.
KW - Travel behaviour
KW - commuting to work
KW - cycling
KW - sustainable transport
UR - http://www.scopus.com/inward/record.url?scp=85106317454&partnerID=8YFLogxK
U2 - 10.1080/12265934.2021.1930111
DO - 10.1080/12265934.2021.1930111
M3 - Article
AN - SCOPUS:85106317454
SN - 1226-5934
VL - 26
SP - 478
EP - 498
JO - International Journal of Urban Sciences
JF - International Journal of Urban Sciences
IS - 3
ER -