Understanding the Dynamics Location of Very Large Populations Interacted with Service Points  

作　　者：Rola Younis Masoud Mohammed Mohammad Asif Salam Rola Younis Masoud Mohammed;Mohammad Asif Salam(Faculty of Economics and Administration, King Abdul-Aziz University, Jeddah, Kingdom of Saudi Arabia)

机构地区：[1]Faculty of Economics and Administration, King Abdul-Aziz University, Jeddah, Kingdom of Saudi Arabia

出　　处：《Open Journal of Modelling and Simulation》2023年第3期60-87,共28页建模与仿真（英文）

摘　　要：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.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.

关 键 词：Information on Geographic Systems (GIS) Large-Scale Events Hajj Pilgrimage Data Mining Tools System Dynamics Agent-Based Modeling Discrete-Time Event 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]