Connectivity between and within places is one of the cornerstones of geography. However,
the data and methodologies used to capture connectivity are limited due to the difficulty in …

Mobile phone data are an interesting new data source for official statistics. However,
multiple problems and uncertainties need to be solved before these data can inform, support …

Advancement of accurate models for predicting real estate price is of utmost importance for
urban development and several critical economic functions. Due to the significant …

The COVID-19 pandemic is changing the world in unprecedented and unpredictable ways.
Human mobility, being the greatest facilitator for the spread of the virus, is at the epicenter of …

As described in the proverb “birds of a feather flock together”, the term homophily narrates
the principle that stronger spatial interactions tend to be formed among locations with similar …

Thanks to the use of geolocated big data in computational social science research, the
spatial and temporal heterogeneity of human activities is increasingly being revealed …

Defining and measuring spatial inequalities across the urban environment remains a
complex and elusive task which has been facilitated by the increasing availability of large …

Cellular data usage consumption prediction is an important topic in cellular networks related
researches. Accurately predicting future data usage can benefit both the cellular operators …

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 …

In this chapter, the authors develop one such quality assessment for home detection
methods from call detailed record (CDR) data. They argue that little research exists on the …