Next Article in Journal
Different Household Livelihood Strategies and Influencing Factors in the Inner Mongolian Grassland
Next Article in Special Issue
Exploring the Use of a Spatio-Temporal City Dashboard to Study Criminal Incidence: A Case Study for the Mexican State of Aguascalientes
Previous Article in Journal
Lost Material Stock in Buildings due to Sea Level Rise from Global Warming: The Case of Fiji Islands
Previous Article in Special Issue
Opinions on Sustainability of Smart Cities in the Context of Energy Challenges Posed by Cryptocurrency Mining
Open AccessArticle

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

1
Ericsson Nikola Tesla, Krapinska 45, 10000 Zagreb, Croatia
2
Department of Transport Planning, Faculty of Transport and Traffic Sciences, University of Zagreb, Vukelićeva 4, 10000 Zagreb, Croatia
3
Department of Intelligent Transport Systems, Faculty of Transport and Traffic Sciences, University of Zagreb, Vukelićeva 4, 10000 Zagreb, Croatia
4
Institute for tourism, Vrhovec 4, 10000 Zagreb, Croatia
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(3), 838; https://doi.org/10.3390/su12030838
Received: 20 November 2019 / Revised: 16 January 2020 / Accepted: 20 January 2020 / Published: 22 January 2020
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. View Full-Text
Keywords: urban mobility estimation; indicators; index; call data records; telecommunications urban mobility estimation; indicators; index; call data records; telecommunications
Show Figures

Figure 1

MDPI and ACS Style

Vidović, K.; Šoštarić, M.; Mandžuka, S.; Kos, G. Model for Estimating Urban Mobility Based on the Records of User Activities in Public Mobile Networks. Sustainability 2020, 12, 838.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop