Eliiyi Uğur2023-03-222023-03-22202225097873https://doi.org/10.1007/978-981-16-8997-0_3https://hdl.handle.net/20.500.14034/843To enhance the efficiency and effectiveness of essential emergency services such as ambulances, fire brigades, and police, one of the most important problems to tackle is to minimize the response times of these emergency vehicles. As well as attaining optimal waiting sites and deployment strategies for the emergency vehicles, the optimal routing and traffic preemption of the vehicles are also crucial in minimizing response times and maximizing coverage. As locational planning and dynamic routing of the emergency vehicles relate to many different situations with varying emergency levels, they are a crucial part of the smart city concept. In this chapter, we present a perspective for the use of artificial intelligence and optimization in sustainable healthcare logistics within a smart city. We provide a survey of literature and identify many applications from around the globe. Related mathematical models and solution approaches are also presented, as necessary. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.eninfo:eu-repo/semantics/closedAccessAmbulance deploymentArtificial intelligenceDynamic routingEmergency services planningHealthcare logisticsLocation/relocation problemsMathematical modelingOptimizationSmart citiesVehicle routingBook Chapter10.1007/978-981-16-8997-0_341632-s2.0-85130783802N/A