Geography Reference
In-Depth Information
expected movements of bicycles around the system, given certain temporal
and environmental circumstances. The analysis presented here has extended
our knowledge of public bicycle dynamics through adopting a GIS approach to
examine disaggregate-level relationships between bicycle trips and their
complex relationships with hour and calendar events. Whilst findings reported
in this paper are important for transport planners, conducting such research
could in turn lead to operational benefits for public bicycle including the way
in which bicycles are distributed across the system on weekends and weekdays
to ensure that supply and demand are met in the most optimal manner possible.
C
ONCLUSION
R
EMARKS
Understanding urban transport pattern using spatial analysis will increase
in importance. Two sets of GIS-based techniques were presented in this
chapter each demonstrates how useful recognized GIS applications in practice
to better understand questions on transport activities from the large regions to
the smaller metropolitan areas. As GIS techniques and applications become
more established, they will enhance the transport planning that seeks to derive
a deeper understanding of the spatial structure and dynamics of transport
systems under various conditions.
The development, application and validation of the spatial disaggregation
techniques will supplement the planners' toolbox. When the GIS
techniques
presented in this chapter are well-developed into deployable solutions, their
added value to the transport planning and research can be fully evaluated. At
this point, it would then be possible to better respond to the transport questions
to inform the future development of timely and geo-targeted policy; that could
potentially enhance the deployment of public investment and enhancing the
efficiency and reducing the costs.
R
EFERENCES
Alonso, W. A. (1964). Location and land use: Toward a general theory of land
rent. Harvard University Press, Cambridge.
Borgnat, P., Abry, P., Flandrin, P., et al. (2009). Studying Lyon''s Velo'V: A
Statistical Cyclic Model. In: European Conference on Complex Systems,
Warwick University (UK), 21- 25 September.
