Geography Reference
In-Depth Information
can be solved for a dynamic transportation network using knowledge of the most-
used links in taxi trajectories in this network. A scenario of joint participation among
four people was designed and implemented to demonstrate the feasibility of this
approach.
A large number of geography researchers are very interesting in computa-
tional analysis based on time geography theory, for example, Harvey J. Miller
at the University of Utah, Mei-Po Kwan at the University of Illinois, Urbana-
Champaign, Shih-Lung Shaw at the University of Tennessee, Harry Timmermans
at the Eindhoven University of Technology, and Otto Huisman at the University of
Twente. These researchers have carried out much important research to accelerate
the development of time geography theory. In addition to theoretical research
studies on time geography, further research should also focus on potentially popular
applications such as traveler assistance services which could expand the research
domain of time geography. This study has tried to promote the application of
research based on time geography theory. The activity scheduling problem is one
such promising application which makes it easy for people to acknowledge the
importance of time geography and to improve the efficiency of their activities. This
deserving research avenue could make much contribution to improve quality of life
for human beings.
Acknowledgements
This research was supported in part by the National Science Foundation of
China (grants #40971233, #41231171, #60872132, #91120002), the project from State Key Lab-
oratory of Resources and Environmental Information Systems, CAS of China (#2010KF0001SA),
LIESMARS
Special
Research
Funding,
and
the Funding
for
Excellent
Talents
in Wuhan
University.
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