Geoscience Reference
In-Depth Information
Fig. 8.11
All other trips in space and time: gender and cycling with off (
red
), on (
blue
), near
network (
green
) - corridor space characteristics
evidence using available secondary data further deepens the existing understanding
of cycling patterns and infrastructure within the study area. Additionally, the STC-
based data processing visual technique has the potential of allowing anyone who
is familiar with the neighborhood to easily clean a messy GPS dataset without any
algorithmic knowledge of complex toolkits. Another novel concept introduced is
the corridor space spatial analysis approach which offers unique ways and means
for understanding cyclists' interactions with the built environment, which partly
constitutes the cycling infrastructure.
Findings from the corridor space analysis suggest that 57 % of cyclists from sam-
ple prefer cycling on the cycle network, while 34.1 % cycles prefer outside the cycle
network with 8.9 % near the cycle network. Also, for all cycle trips, it was found
out that males cycle more on and off the network than females with the gender dif-
ference in
off network
trips 3 % lower than the gender difference in
on network
trips
(11.6 %). For only home-to-work cycle trips, gender difference in
on network
12 %
and that of
off network
is 11 %. With 43 % of cyclists still cycling outside the desig-
nated cycle network, it is imperative that policy initiatives are aimed towards invest-
ing in cycling research and infrastructure (i.e., lanes, parking, crossings, etc.). Visu-
alization experience using the STC suggests that for 3D STC visualization, it is more
appropriate to present the result in an interactive manner in GeoTime. A general
overview of the spatiotemporal dimension of cycling data can be presented using
3D STC View, but even better symbolization for better presentation is still needed.
Search WWH ::
Custom Search