Understanding the Dynamics Location of Very Large Populations Interacted with Service Points ()
ABSTRACT
This paper
offers preliminary work on system dynamics and Data mining tools. It tries to understand
the dynamics of carrying out large-scale events, such as Hajj. The study looks at
a large, recurring problem as a variable to consider, such as how the flow of people
changes over time as well as how location interacts with placement. The predicted
data is analyzed using Vensim PLE 32 modeling software, GIS Arc Map 10.2.1, and
AnyLogic 7.3.1 software regarding the potential placement of temporal service points,
taking into consideration the three dynamic constraints and behavioral aspects:
a large population, limitation in time, and space. This research proposes appropriate
data analyses to ensure the optimal positioning of the service points with limited
time and space for large-scale events. The conceptual framework would be the output
of this study. Knowledge may be added to the insights based on the technique.
Share and Cite:
Mohammed, R. and Salam, M. (2023) Understanding the Dynamics Location of Very Large Populations Interacted with Service Points.
Open Journal of Modelling and Simulation,
11, 60-87. doi:
10.4236/ojmsi.2023.113005.
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