Modeling social complexity in infrastructures: a case-based approach to improving reliability and resiliency
Carl J. Dister,
Professor Brian Castellani and
Dr Rajeev Rajaram
Chapter 14 in Handbook of Research Methods in Complexity Science, 2018, pp 267-284 from Edward Elgar Publishing
Abstract:
If one is to improve reliability and resilience in infrastructures, it is necessary to adopt a ‘complex, smart territory’ modelling strategy, particularly one that gives attention to the importance of social complexity. To test the veracity of their argument the authors conducted a case study on a segment of the US power grid, seeking to create a first proof-of-concept sufficient to show how thinking about infrastructures in ‘complex systems’ terms, primarily in terms of their social aspects, can prove beneficial. They employed the SACS Toolkit, which is part of the new approach to modelling complex systems, called case-based complexity. As a technique, the SACS Toolkit is a computationally grounded, case-comparative, mixed methods platform for modelling complex systems as sets of cases. In an effort to help readers make use of this technique, this chapter provides a basic overview of the research process, ending with a summary of the novel insights this approach was able to achieve.
Keywords: Business and Management; Geography; Innovations and Technology; Politics and Public Policy Research Methods; Urban and Regional Studies (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.elgaronline.com/view/9781785364419.00025.xml (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:16937_14
Ordering information: This item can be ordered from
http://www.e-elgar.com
Access Statistics for this chapter
More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().