Geography Reference
In-Depth Information
Tabl e 7. 5
Details of scheduled joint participation
Activity
Objective
Date
Joint activity
Location
Time
D(/km) T (/min) R
AT
U
Monday
Business
survey
Qunguang
Square
9:27-11:52 36.946
42:7
1:84
4:37
1:79
Tuesday
Business
survey
Han Street
9:33-11:44 47.038
60:8
1:82
6:51
1:81
Wednesday Business
survey
Luxiang
Square
9:26-11:58 25.604
31:8
1:84
3:20
1:91
Thursday
Business
survey
Zhong County
in Hanyang
9:42-11:39 58.660
71:7
1:80
7:64
1:74
Friday
Business
survey
Central South
Shopping mall
9:31-11:46 44.027
54:2
1:82
5:63
1:72
Saturday
Business
meeting
New Kaixinyi
Hotel
9:54-10:30 87.293
111:8
3:22 22:23
3:80
Sunday
Entertainment Marshland in
Hankou
10:29-11:20 48.826
62:0
2:66 16:46
2:86
Sum
348.394 435:0
15:00 46:04 15:63
were optimized by using this algorithm. Table
7.5
lists the details of scheduled
joint participations in a week. Different starting times and activity durations of
business survey in five days were affected by not only the preferences of people,
but also the travel speed and the congestion index of transportation network.
Figure
7.6
shows the four space-time paths of individuals, including the optimized
joint activity opportunities generated by the modified algorithm. The red dots on
the network are the business survey locations for persons P1 and P2, The blue
dot on the network is the location of the meeting for persons P1, P2, P3, and P4,
and the pink dot on the network is the location of the entertainment activity for
P2, P3, and P4. The highlighted cylinders represent the activity time windows of
the corresponding opportunities for persons to participate. Moreover, the cylinder's
connected space-time paths are unbroken, which means that one person can finish
his tasks one by one in the order of activities in each complete space-time path.
For example, persons P1 and P2 can do their business survey in five locations
one by one from Monday to Friday. The solutions in the Pareto fronts provide
feasible combinations of joint activity participation to users for making comfortable
decisions among them. The space-time path projected on the transportation network
suggests the travel path for the corresponding person. Figure
7.7
illustrates the joint
activity participation for the meeting of the four persons P1, P2, P3, and P4 on
Saturday. The hotel highlighted in Fig.
7.7
represents their joint activity opportunity.
Figures
7.6
and
7.7
demonstrate that the proposed approach is capable of scheduling
joint activities for multiple persons in a real situation. This capability can support
spatiotemporal travel decision-making services in commercial traveler information
systems.
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