Spatial Data Driven Evaluation of City Locations
Mikuláš Muroň and
David Procházka
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Mikuláš Muroň: Department of Informatics, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2018, vol. 66, issue 5, 1301-1306
Abstract:
Moving to a new home or setting a new bureau in a new city is always difficult. One does not have knowledge about suitable locations; therefore, people are frequently unpleasantly surprised. High traffic noise, long distance to shops or high criminal activity are just few of many possible disturbing aspects. Certainly, there are many data sources that can help to see some particular aspect of the city life. Nonetheless, it is extremely complex and time-consuming task to browse through large data sets and com-pare provided information. Therefore, we developed a solution that comprises many different data sets that describe the city environment and created set of straightforward indices such as environment, safety, shopping etc. The users just provide the application his/her preferences and the application finds locations that are most suitable for particular cause. The application is presented on the example of the Brno city area.
Keywords: smart city; spatial analysis; GIS (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:mup:actaun:actaun_2018066051301
DOI: 10.11118/actaun201866051301
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