Bridging Borders: Integrating Data Analytics, Modeling, Simulation, and Gaming for Interdisciplinary Assessment of Health Aspects in City Networks

Jayanth Raghothama (), Elhabib Moustaid (), Vinutha Magal Shreenath () and Sebastiaan Meijer ()
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Jayanth Raghothama: School of Technology and Health, KTH Royal Institute of Technology
Elhabib Moustaid: School of Technology and Health, KTH Royal Institute of Technology
Vinutha Magal Shreenath: School of Technology and Health, KTH Royal Institute of Technology
Sebastiaan Meijer: School of Technology and Health, KTH Royal Institute of Technology

Chapter Chapter 8 in City Networks, 2017, pp 137-155 from Springer

Abstract: Abstract The health perspective in urban science brings new methodological challenges to planning of city networks. Due to the system of systems nature of healthcare, new methods are needed to facilitate disciplinary integration and management of models and models-of-models. Participation of stakeholders and policy makers demands the uptake of new methods and a new perspective on the use of interfaces and boundary objects. In this chapter, the authors discuss evidence from five projects that use gaming, simulation, modeling, and data analytics in unconventional ways for design of large-scale urban systems to provide a methodological path forward for overcoming traditional engineering approach issues.

Keywords: City health; Large-scale urban systems; Gaming; Simulation; Modeling; Data analytics (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/978-3-319-65338-9_8

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