BRAVO CELEDÓN, MARÍA LORETO
Preferred name
BRAVO CELEDÓN, MARÍA LORETO
Main Affiliation
Email
bravo@udd.cl
ORCID
0000-0001-7299-9317
Scopus Author ID
8392203200
12 results
Now showing 1 - 10 of 12
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Item type:Product, Dataset - Evaluation of home detection algorithms on mobile phone data using individual-level ground truthThis is the implementation of the 5 algorithms described in Vanhoof, M., Reis, F., Ploetz, T., & Smoreda, Z. (2018). Assessing the quality of home detection from mobile phone data for official statistics. In Journal of Official Statistics (Vol. 34, pp. 935–960). https://doi.org/10.2478/jos-2018-0046 that we used in our paper.3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The effect of Pokémon Go on the pulse of the city: a natural experiment(2017); Scopus© Citations 38 3 - Some of the metrics are blocked by yourconsent settings
Item type:Product, Dataset - A dataset to assess mobility changes in Chile following local quarantines(2023); 10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Evaluation of home detection algorithms on mobile phone data using individual-level ground truth(2021); Scopus© Citations 35 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Query rewriting for semantic query optimization in spatial databases(2019); Diego Gatica1Scopus© Citations 8 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Linking physical violence to women’s mobility in ChileDespite increased global attention on violence against women, understanding the factors that lead to women becoming victims remains a critical challenge. Notably, the impact of domestic violence on women’s mobility—a critical determinant of their social and economic independence—has remained largely unexplored. This study bridges this gap, employing police records to quantify physical and psychological domestic violence, while leveraging mobile phone data to proxy women’s mobility. Our analyses reveal a negative correlation between physical violence and female mobility, an association that withstands robustness checks, including controls for economic independence variables like education, employment, and occupational segregation, bootstrapping of the data set, and applying a generalized propensity score matching identification strategy. The study emphasizes the potential causal role of physical violence on decreased female mobility, asserting the value of interdisciplinary research in exploring such multifaceted social phenomena to open avenues for preventive measures. The implications of this research extend into the realm of public policy and intervention development, offering new strategies to combat and ultimately eradicate domestic violence against women, thereby contributing to wider efforts toward gender equity.Scopus© Citations 7 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Adoption-Driven Data Science for Transportation Planning: Methodology, Case Study, and Lessons Learned(2020)Scopus© Citations 6 3 - Some of the metrics are blocked by yourconsent settings
Item type:Product, 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Shopping mall attraction and social mixing at a city scale(2018); 1Scopus© Citations 45 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Consistency and trust in peer data exchange systems(2016)46Scopus© Citations 15