Abstract

AbstractAlmost all decisions occur under conditions of uncertainty. Understanding uncertainty is thus an essential prerequisite for effective decision-making. In this chapter, we started by recalling the classic distinction between probabilistic risk and severe uncertainty. We ground our analysis in Hansson’s recent classification of eight types of uncertainty: factual uncertainty, possibilistic uncertainty, metadoxastic uncertainty, agential uncertainty, interactive uncertainty, value uncertainty, structural uncertainty, and linguistic uncertainty. Based on this classification, we investigate and demarcate some of the determinants of each type of uncertainty by taking into account their different sources and scales. Finally, we apply our analysis of these determinants to urban decisions that might occur in a post-pandemic context and propose future lines of research.KeywordsUncertaintyCOVID-19CitiesUrban planningPhilosophy of science

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.