Next Article in Journal
Enhancing Risk Management by Partnering in International EPC Projects: Perspective from Evolutionary Game in Chinese Construction Companies
Next Article in Special Issue
Environmental Risk Assessment of Accidental Pollution Incidents in Drinking Water Source Areas: A Case Study of the Hongfeng Lake Watershed, China
Previous Article in Journal
Evaluating Social Media Response to Urban Flood Disaster: Case Study on an East Asian City (Wuhan, China)
Previous Article in Special Issue
Comparative Study of Environmental Assessment Methods in the Evaluation of Resources and Environmental Carrying Capacity—A Case Study in Xinjiang, China
 
 
Article

Agent-Based Modeling (ABM): Support for Emphasizing the Air Transport Infrastructure Dependence of Space Systems

1
Economic Engineering Department, University “Politehnica” of Bucharest, 060042 Bucharest, Romania
2
Cyber Security and Critical Infrastructures Protection Department, National Institute for Research and Development in Informatics, 011455 Bucharest, Romania
3
Management Department, “Nicolae Balcescu” Land Forces Academy, 550170 Sibiu, Romania
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(19), 5331; https://doi.org/10.3390/su11195331
Received: 3 June 2019 / Revised: 17 September 2019 / Accepted: 23 September 2019 / Published: 27 September 2019
(This article belongs to the Collection Risk Assessment and Management)
Critical infrastructure is foundational for the prosperity and quality of life in any society. By definition, its destruction or disruption would cause severe damage and possibly loss of life. Within this understanding, space systems are a new category of critical infrastructure, emerging as an enabler of new applications which are critical within the wider system-of-systems. This paper presents the results of a modeling exercise validating the proof of concept regarding the idea of the global, air-transport-critical infrastructure’s dependence on space systems. By using an open-source application, the authors constructed a complex system made up of 18 airports for which six scenarios were modeled that represent either the exposure to specific space phenomena or the effects of a partial or total critical space infrastructure disruption. Despite the limitations and assumptions made in the building of this model, its results suggest that a significant impact would result from disruptive events, with the potential for cascading disruptions within the system, beyond the system under analysis, and into the wider system-of-systems. Tools such as this model are useful to policy- and decision-makers, not only to protect existing, critical infrastructures, but also to adequately source future risks, vulnerabilities, and threats, and design and build new infrastructures. View Full-Text
Keywords: space systems; modeling; air transport; critical infrastructures; governance space systems; modeling; air transport; critical infrastructures; governance
Show Figures

Figure 1

MDPI and ACS Style

Bucovetchi, O.; Georgescu, A.; Badea, D.; Stanciu, R.D. Agent-Based Modeling (ABM): Support for Emphasizing the Air Transport Infrastructure Dependence of Space Systems. Sustainability 2019, 11, 5331. https://doi.org/10.3390/su11195331

AMA Style

Bucovetchi O, Georgescu A, Badea D, Stanciu RD. Agent-Based Modeling (ABM): Support for Emphasizing the Air Transport Infrastructure Dependence of Space Systems. Sustainability. 2019; 11(19):5331. https://doi.org/10.3390/su11195331

Chicago/Turabian Style

Bucovetchi, Olga, Alexandru Georgescu, Dorel Badea, and Radu D. Stanciu. 2019. "Agent-Based Modeling (ABM): Support for Emphasizing the Air Transport Infrastructure Dependence of Space Systems" Sustainability 11, no. 19: 5331. https://doi.org/10.3390/su11195331

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop