We present our study, where we analyzed how a comprehensive set of factors influenced the use of Bicing before and after the COVID-19 lockdown in Barcelona, identified the relevant factors that help predict Bicing usage, and unpacked how the relevance of these factors changed as the global pandemic unfolded.
Riding the wave: Predicting the use of the bike-sharing system in Barcelona before and during COVID-19
The global interorganizational network before and during a global pandemic
A study published in Social Networks where we explored the structural characteristics of the global interorganizational network before and during COVID-19 using GDELT.
Global Interorganizational Network Dataset from GDELT
We present the dataset on our research that explores the structural characteristics of the global interorganizational network, comprising multinationals, intergovernmental organizations, and international non-governmental organizations. We extracted the data from GDELT, which compiles media-reported events worldwide.