A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Representing System Complexity Using Object‐oriented Programming
This chapter aims to illustrate how a regional network of complex systems can be a representation using object‐oriented programming (OOP). First, OOP is described as a programming paradigm that uses “objects” to design applications. Then TopEase ® is introduced as software that allows the user to manage critical information of focused systems and visualize those entities in a holistic view of a complex system. The region of application, Hampton Roads, a territory consisting of a body of water and the surrounding metropolitan areas in the southeastern United States, is then described in terms of critical infrastructure (CI) systems, including electricity, transportation, communication, and water. TopEase ® is used to structure data in terms of CI systems, components, people, roles, responsibilities, and interdependencies. The research suggests that the TopEase ® OOP approach is viable for performing disaster risk analysis for different infrastructure systems, including cyberattacks, industrial accidents, meltdowns, and earthquakes. The chapter concludes with insights on TopEase ® OOP's ability to represent complex situations and perceptions gained regarding risks facing Hampton Roads region.
Representing System Complexity Using Object‐oriented Programming
This chapter aims to illustrate how a regional network of complex systems can be a representation using object‐oriented programming (OOP). First, OOP is described as a programming paradigm that uses “objects” to design applications. Then TopEase ® is introduced as software that allows the user to manage critical information of focused systems and visualize those entities in a holistic view of a complex system. The region of application, Hampton Roads, a territory consisting of a body of water and the surrounding metropolitan areas in the southeastern United States, is then described in terms of critical infrastructure (CI) systems, including electricity, transportation, communication, and water. TopEase ® is used to structure data in terms of CI systems, components, people, roles, responsibilities, and interdependencies. The research suggests that the TopEase ® OOP approach is viable for performing disaster risk analysis for different infrastructure systems, including cyberattacks, industrial accidents, meltdowns, and earthquakes. The chapter concludes with insights on TopEase ® OOP's ability to represent complex situations and perceptions gained regarding risks facing Hampton Roads region.
Representing System Complexity Using Object‐oriented Programming
Gheorghe, Adrian (author) / Katina, Polinpapilinho (author)
Gamification for Resilience ; 191-205
2023-07-27
15 pages
Article/Chapter (Book)
Electronic Resource
English
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