143 citations · 326 across the 8 of their papers we have counts for
8 papers
London in Lockdown: Mobility in the Pandemic City
Michael Batty, Roberto Murcio, Iacopo Iacopini +2
This chapter looks at the spatial distribution and mobility patterns of essential and non-essential workers before and during the COVID-19 pandemic in London and compares them to t…
Mobile phone indicators and their relation to the socioeconomic organisation of cities
Clementine Cottineau, Maarten Vanhoof
Thanks to the use of geolocated big data in computational social science research, the spatial and temporal heterogeneity of human activities are increasingly being revealed. Paire…
Geographical veracity of indicators derived from mobile phone data
Maarten Vanhoof, Thomas Ploetz, Zbigniew Smoreda
In this contribution we summarize insights on the geographical veracity of using mobile phone data to create (statistical) indicators. We focus on problems that persist with spatia…
Performance and sensitivities of home detection from mobile phone data
Maarten Vanhoof, Clement Lee, Zbigniew Smoreda
Large-scale location based traces, such as mobile phone data, have been identified as a promising data source to complement or even enrich official statistics. In many cases, a pre…
Assessing the quality of home detection from mobile phone data for official statistics
Maarten Vanhoof, Fernando Reis, Thomas Ploetz +1
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 o…
Detecting home locations from CDR data: introducing spatial uncertainty to the state-of-the-art
Maarten Vanhoof, Fernando Reis, Zbigniew Smoreda +1
Non-continuous location traces inferred from Call Detail Records (CDR) at population scale are increasingly becoming available for research and show great potential for automated d…