2 citations · 4 across the 4 of their papers we have counts for
4 papers
A systematic machine learning approach to measure and assess biases in mobile phone population data
Carmen Cabrera, Francisco Rowe
Traditional sources of population data, such as censuses and surveys, are costly, infrequent, and often unavailable in crisis-affected regions. Mobile phone application data offer…
Sustained changes to urban mobility after COVID-19 amplified socio-economic inequalities in Latin America
Carmen Cabrera, Miguel González-Leonardo, Andrea Nasuto +2
Urban mobility is central to economic activity, social inclusion, and access to essential services. COVID-19 caused disruptions to mobility globally, yet its long-term impacts in l…
Reduced mobility? Urban exodus? Medium-term impacts of the COVID-19 pandemic on internal population movements in Latin American countries
Francisco Rowe, Carmen Cabrera-Arnau, Miguel González-Leonardo +2
The COVID-19 pandemic has impacted the national systems of population movement around the world. Existing work has focused on countries of the Global North and restricted to the im…
The temporal concentration of travel demand in an urban transport network
Carmen Cabrera-Arnau, Liang Wei Ng, Howard Wong +1
Suppose and are two stations within the mass rapid transit network of a city. Both stations see approximately the same average daily number of passengers entering and exiti…