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The aim of this study is to identify suitable locations for a fire station which has been achieved through applying the Quantum Geographic Information Systems (QGIS) software and Python Programming Language. In this book, a detailed study was conducted for the city of Kyrenia in Cyprus to identify links and nodes, travel times, and superimpose these data on an existing digital map of the City in geographic information system was utilized to assess the current situation and develop alternatives for fire station or other emergency services locations to minimize access time. Python programming language was used for optimization process and Quantum GIS software was used to present the findings as isochrones. The findings are expected to benefit the society by allowing shorter response times if the recommendations are implemented by the government or local agencies.
About the author
Meisam Siamidoudaran is Doctor of Philosophy in Traffic Engineering, his scientific field is Information Management and Processing in Traffic Systems by improving the quality of decisions in 3-D simulation models.Ali Kia is also PhD in Civil Eng, his research focuses on various Artificial Neural Network models and their application in Civil Eng.
