Smart City Gnosys

Smart city article details

Title	On The Positioning Of Emergencies Detection Units Based On Geospatial Data Of Urban Response Centres
ID_Doc	39902
Authors	Peixoto J.P.J.; Costa D.G.; Franca Rocha W.D.J.S.D.; Portugal P.; Vasques F.
Year	2023
Published	Sustainable Cities and Society, 97
DOI	http://dx.doi.org/10.1016/j.scs.2023.104713
Abstract	Urban areas have been subject to emergency situations with different causes and sometimes dramatic consequences. With the advent of smart cities technologies, multi-emergency detection units could be conceived and implemented taking advantage of affordable sensing technologies and efficient decision algorithms, allowing quick and distributed detection of emergencies. However, a recurrent problem has been the positioning and further deployment of such detection units in a way that the particularities of each target city are properly considered. In this sense, this article proposes the processing of geospatial data about existing urban infrastructure associated with some critical response after an emergency is detected, selecting hospitals, police stations, fire departments, and metro stations, in the target city. These infrastructures are then exploited to define the novel concept of mitigation zones, which indirectly express the perceived level of urban resilience to emergencies. Then, four positioning algorithms are proposed to exploit the mitigation zones considering a defined set of available detection units for deployment. Since the proposed approach is valid for any city, provided that geospatial data is available, it could be largely adopted to support different smart city systems, potentially bringing significant results in this area. © 2023 The Author(s)
Author Keywords	Emergency detection; Sensors positioning; Smart cities; Sustainable and resilient cities; Urban infrastructure

Similar Articles

Id	Similarity	Authors	Title	Published
24010	0.935	Peixoto J.P.J.; Costa D.G.; De J. S. Da Franca Rocha W.; Portugal P.; Vasques F.	Enhancing The Computation Of Risk Zones Based On Emergency-Related Infrastructure In Smart Cities	Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023 (2023)
25400	0.925	Peixoto J.P.J.; Bittencourt J.C.N.; Jesus T.C.; Costa D.G.; Portugal P.; Vasques F.	Exploiting Geospatial Data Of Connectivity And Urban Infrastructure For Efficient Positioning Of Emergency Detection Units In Smart Cities	Computers, Environment and Urban Systems, 107 (2024)
40901	0.925	Peixoto J.P.J.; Costa D.G.; De J. S. Da Franca Rocha W.; Portugal P.; Vasques F.	Optimizing The Deployment Of Multi-Sensors Emergencies Detection Units Based On The Presence Of Response Centers In Smart Cities	ISC2 2022 - 8th IEEE International Smart Cities Conference (2022)
14250	0.88	Peixoto J.P.J.; Costa D.G.; Franca Rocha W.D.J.S.D.; Portugal P.; Vasques F.	Cityzones: A Geospatial Multi-Tier Software Tool To Compute Urban Risk Zones	SoftwareX, 23 (2023)
5551	0.877	Sebillo M.; Vitiello G.; Grimaldi M.; Chiara D.D.	A Territorial Intelligence-Based Approach For Smart Emergency Planning	Data Science and Big Data Analytics in Smart Environments (2021)
659	0.861	Palmieri, F; Ficco, M; Pardi, S; Castiglione, A	A Cloud-Based Architecture For Emergency Management And First Responders Localization In Smart City Environments	COMPUTERS & ELECTRICAL ENGINEERING, 56 (2016)
59939	0.86	Coelho G.A.A.; Jesus T.C.; Costa D.G.	Urban Emergency Detection System Using Hierarchical, Collaborative And Configurable Wireless Sensor Networks	Brazilian Symposium on Computing System Engineering, SBESC (2023)
1245	0.859	Bittencourt J.C.N.; Costa D.G.; Portugal P.; Vasques F.	A Data-Driven Clustering Approach For Assessing Spatiotemporal Vulnerability To Urban Emergencies	Sustainable Cities and Society, 108 (2024)
10810	0.854	Mutambik I.	Assessing Urban Vulnerability To Emergencies: A Spatiotemporal Approach Using K-Means Clustering	Land, 13, 11 (2024)
8857	0.853	Rangel E.O.; Costa D.G.; Peixoto M.M.L.	An Optimization Approach For Emergency Vehicles Dispatching And Traffic Lights Adjustments In Response To Emergencies In Smart Cities	Brazilian Symposium on Computing System Engineering, SBESC, 2021-November (2021)