Model for Estimating Urban Mobility Based on the Records of User Activities in Public Mobile Networks

Krešimir Vidović, Marko Šoštarić, Sadko Mandžuka and Goran Kos
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Krešimir Vidović: Ericsson Nikola Tesla, Krapinska 45, 10000 Zagreb, Croatia
Marko Šoštarić: Department of Transport Planning, Faculty of Transport and Traffic Sciences, University of Zagreb, Vukelićeva 4, 10000 Zagreb, Croatia
Sadko Mandžuka: Department of Intelligent Transport Systems, Faculty of Transport and Traffic Sciences, University of Zagreb, Vukelićeva 4, 10000 Zagreb, Croatia
Goran Kos: Institute for tourism, Vrhovec 4, 10000 Zagreb, Croatia

Sustainability, 2020, vol. 12, issue 3, 1-27

Abstract: Urban mobility of a population is usually estimated within procedures that focus on specific domains, using limited datasets, indicators, and indices related to the targeted subsets of the urban population. This paper proposes a new approach to urban mobility estimation, based on the telecommunication activities within the public mobile telecommunication networks. The urban mobility indicators in this research are generated from a database of mobile phone users call data records and are integrated into the urban mobility index of the population based on the model defined through the adaptive neuro-fuzzy inference system (ANFIS). The following has been considered in the process: an initial fuzzy inference system, model learning, model quality control, limitations, errors, and deficiencies. The model is practically applied in the programming environment, on a set of real word data. The research results prove the following hypothesis set in this paper: the urban mobility of inhabitants in a specific timeframe, can be described with an urban mobility index based on the data on the recorded telecommunication activities of the public mobile communication network users.

Keywords: urban mobility estimation; indicators; index; call data records; telecommunications (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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