Towards Model-Based Policy Elaboration on City Scale Using Game Theory: Application to Ambulance Dispatching
The paper presents early results on the development of a generalized approach for modeling and analysis of the interaction of multiple stakeholders in city environment while providing services to citizens under the regulation of city authorities. The approach considers the interaction between main stakeholders (organizations of various kind, citizens, and city authorities) including information and finances exchange, activities taken and services or goods provided. The developed approach is based on a combination of game-theoretic modeling and simulation of service providers interaction. Such combination enables consideration of confronting stakeholders as well as determined (e.g., scheduled) and stochastic variation in characteristics of system’s elements. The goal of this approach development is supporting of analysis and optimization of city-level regulation through legislative, financial, and informational interaction with organizations and environment of a city. An example of ambulance dispatching during providing emergent care for acute coronary syndrome (ACS) patients is considered. The example is analyzed in a simplified linear case and in practical application to dispatching ambulances providing service for ACS patients in Saint Petersburg.
KeywordsGame theory Queueing theory Discrete-event simulation Policy making Ambulance dispatching Acute coronary syndrome
This research is financially supported by The Russian Scientific Foundation, Agreement #14-11-00823 (15.07.2014).
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