Mobile phone data: A survey of techniques, features, and applications

M Okmi, LY Por, TF Ang, CS Ku - Sensors, 2023 - mdpi.com
Due to the rapid growth in the use of smartphones, the digital traces (eg, mobile phone data,
call detail records) left by the use of these devices have been widely employed to assess …

[HTML][HTML] A user-feedback indicator framework to understand cultural ecosystem services of urban green space

X Zhu, X Cheng, B Zhang, C Mihalko - Ecological Indicators, 2023 - Elsevier
Cultural ecosystem services (CES) are intangible benefits humans derive from the
ecosystem, closely related to residents' spiritual enrichment, perceptual development …

Discretization of the urban and non-urban shape: unsupervised machine learning techniques for territorial planning

L Fiorini, F Falasca, A Marucci, L Saganeiti - Applied Sciences, 2022 - mdpi.com
One of the goals of the scientific community is to equip the discipline of spatial planning with
efficient tools to handle huge amounts of data. In this sense, unsupervised machine learning …

Urban Area Characterization and Structure Analysis: A Combined Data-Driven Approach by Remote Sensing Information and Spatial–Temporal Wireless Data

X Chen, K Zhang, G Chuai, W Gao, Z Si, Y Hou, X Liu - Remote Sensing, 2023 - mdpi.com
Analysis of urban area function is crucial for urban development. Urban area function
features can help to conduct better urban planning and transportation planning. With …

Experiment in finding look-alike European cities using urban atlas data

Z Dobesova - ISPRS International Journal of Geo-Information, 2020 - mdpi.com
The integration of geography and machine learning can produce novel approaches in
addressing a variety of problems occurring in natural and human environments. This article …

Combining Telecom Data with Heterogeneous Data Sources for Traffic and Emission Assessments—An Agent-Based Approach

N Grujić, S Brdar, S Osinga, GJ Hofstede… - … International Journal of …, 2022 - mdpi.com
To create quality decision-making tools that would contribute to transport sustainability, we
need to build models relying on accurate, timely, and sufficiently disaggregated data. In spite …

Analyzing the behavior and financial status of soccer fans from a mobile phone network perspective: Euro 2016, a case study

G Pintér, I Felde - Information, 2021 - mdpi.com
In this study, Call Detail Records (CDRs) covering Budapest for the month of June in 2016
were analyzed. During this observation period, the 2016 UEFA European Football …

Understanding mobility in Rome by means of a multiplex network with data

M Curado, L Tortosa, JF Vicent, G Yeghikyan - Journal of Computational …, 2021 - Elsevier
Complex networks provide a framework for modelling real-world systems. Based on a set of
data on mobility by car between different urban areas of the city of Rome, we represent and …

Evaluating the Effect of the Financial Status to the Mobility Customs

G Pintér, I Felde - ISPRS International Journal of Geo-Information, 2021 - mdpi.com
In this article, we explore the relationship between cellular phone data and housing prices in
Budapest, Hungary. We determine mobility indicators from one months of Call Detail …