scholarly journals Design of a University Pandemic Response Decision Support System

2022 ◽  
Vol 9 (2) ◽  
pp. 117-133
Author(s):  
Demosthenes Kaloudelis ◽  
Ahmed Abdulwahab ◽  
Ayman Fatima ◽  
Zaid Yasin

The global effort to combat the COVID-19 pandemic has changed how people conduct their daily lives. Institutions of higher education have been greatly impacted by these changes and must find ways to adapt to this new environment. Universities are a unique case because they must control disease spread, while maintaining the same or similar quality of education. The University Pandemic Response Decision Support System (UPRDSS) is a system designed to help universities pick the most suitable method for instruction delivery when faced with any pandemic. Using George Mason University as a case study, the goal was to design a system that allows university administrations to make an educated operations decision. The UPRDSS achieves this by simulating the spread of disease, analyzing learning outcome data, and using a multi-attribute utility function to determine the most appropriate method of instruction that enables positive learning and health outcomes.

Author(s):  
Ebru V. Ocalir-Akunal

The progress in web based DSS technologies in recent decades has given individuals many opportunities to make their business environments and daily lives so easier that could never been imagined before. Use of traffic information systems are getting wider. In this study, a decision support system for individuals' travel alternatives between any origin and destination points in urban areas is described. The original study is derived from a project prepared for the Ankara Municipality (Turkey). The described project gave individuals opportunity to select among all travel alternatives under different criteria, both for public transport riders and car users. It is a web based DSS, which uses GIS. The Floyd-Warshall algorithm has been used to solve all-pairs shortest path problem. Static data are based on base map, addresses, point of interests, lines, stops, schedules, etc. The dynamic data are received from the online vehicle tracking system. The design of the project is given to help other researchers design their projects according to the requirements specific for their own cities.


Author(s):  
Ebru V. Ocalir-Akunal

The progress in web based DSS technologies in recent decades has given individuals many opportunities to make their business environments and daily lives so easier that could never been imagined before. Use of traffic information systems are getting wider. In this study, a decision support system for individuals' travel alternatives between any origin and destination points in urban areas is described. The original study is derived from a project prepared for the Ankara Municipality (Turkey). The described project gave individuals opportunity to select among all travel alternatives under different criteria, both for public transport riders and car users. It is a web based DSS, which uses GIS. The Floyd-Warshall algorithm has been used to solve all-pairs shortest path problem. Static data are based on base map, addresses, point of interests, lines, stops, schedules, etc. The dynamic data are received from the online vehicle tracking system. The design of the project is given to help other researchers design their projects according to the requirements specific for their own cities.


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