2014
DOI: 10.1016/j.jtrangeo.2014.10.004
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Land use effects on bicycle ridership: a framework for state planning agencies

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Cited by 52 publications
(18 citation statements)
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“…Furthermore, evidence showed that a more comfortable travel environment could encourage people to use shared bikes and vice versa [11,18,19]. Cui et al [20] studied how land use and the buildings in the environment influenced bike ridership. The results showed that retail and recreation centers had a positive effect on bike ridership.…”
Section: Preference Of Bike Sharingmentioning
confidence: 99%
“…Furthermore, evidence showed that a more comfortable travel environment could encourage people to use shared bikes and vice versa [11,18,19]. Cui et al [20] studied how land use and the buildings in the environment influenced bike ridership. The results showed that retail and recreation centers had a positive effect on bike ridership.…”
Section: Preference Of Bike Sharingmentioning
confidence: 99%
“…Therefore, higher levels of Entropy correspond with greater land use mix. Similar to prior research, 10,35 we selected a subset of land use types that have been shown to be associated with cycling 9,10,36 : residential, commercial and education. To calculate the Entropy Index, the distribution of land use types in each SA2 was determined through the use of ABS Mesh Block land use classifications.…”
Section: Methodsmentioning
confidence: 99%
“…Extant studies on cyclists' travel behaviours in English literature have mainly focused on the characteristics and patterns of public bicycles as well as the impacts of built environment factors and individuals' socioeconomic characteristics. More specifically, existing studies have investigated planning methods (Lin and Yang, 2011;García-Palomares et al, 2012) and layout models for public bicycle stations (De Chardon and Caruso, 2015); they have also identified the impacts of public transportation facilities, including bicycle station levels (Garcia-Gutierrez et al, 2014), bicycle facilities (Carstensen et al, 2015), subway stations (Jun et al, 2015), urban service facilities (Wang et al, 2016), land use patterns (Cui et al, 2014), and space structures (Faghih-Imani et al, 2014), on the travel behaviours of public bicycles. Furthermore, from the perspectives of individual users, several studies have examined travel time and purpose (González et al, 2016), travel paths (McDonough, 2016), travel activity patterns (Vogel et al, 2011), behaviour characteristics (Vogel et al, 2014), and the influences of various factors, such as weather (El-Assi et al, 2017) and personal social attributes (Kaplan et al, 2015), on travel behaviours.…”
Section: Springermentioning
confidence: 99%