Description
Accelerating urban growth has often outpaced the capacity of planners to guide urbanization processes. Despite efforts to create “intelligent” cities, decision making still remains a largely manual process. One example is in the lack of robust decision support systems (DSS) for risk management and safety in the construction sector. Building on a pilot project, this research has two objectives: (1) advance theories/concepts in systems understanding, by combining Morphological Analysis (MA) and Bayesian Belief Networks (BBNs) to model the underlying problem space and the inherent uncertainties, and (2) demonstrate a methodology for applying MA and BBNs in practice that can help to build useful DSSs for hazard mitigation in the construction sector. The proposed DSS serves as a case exemplar for building a planning tool for scenario analysis and impact assessment, and as an incident response mechanism for safer construction of a smart city.
Recommended Citation
Aoun, Chadi; Fass, Simon; Liginlal, Divakaran; and Yousef, Rami, "Combining Morphological Analysis and Bayesian Belief Networks: A DSS for Safer Construction of a Smart City" (2015). AMCIS 2015 Proceedings. 4.
https://aisel.aisnet.org/amcis2015/eGov/GeneralPresentations/4
Combining Morphological Analysis and Bayesian Belief Networks: A DSS for Safer Construction of a Smart City
Accelerating urban growth has often outpaced the capacity of planners to guide urbanization processes. Despite efforts to create “intelligent” cities, decision making still remains a largely manual process. One example is in the lack of robust decision support systems (DSS) for risk management and safety in the construction sector. Building on a pilot project, this research has two objectives: (1) advance theories/concepts in systems understanding, by combining Morphological Analysis (MA) and Bayesian Belief Networks (BBNs) to model the underlying problem space and the inherent uncertainties, and (2) demonstrate a methodology for applying MA and BBNs in practice that can help to build useful DSSs for hazard mitigation in the construction sector. The proposed DSS serves as a case exemplar for building a planning tool for scenario analysis and impact assessment, and as an incident response mechanism for safer construction of a smart city.