[HTML][HTML] Untapping the potential of mobile location data: The opportunities and challenges for retail analytics
J Aversa, A Azmy, T Hernandez - Journal of Retailing and Consumer …, 2024 - Elsevier
Smartphone technology has created a burgeoning mobile location data (MLD) marketplace.
MLD has been adopted by many retailers to track consumer behaviours at a granular level …
MLD has been adopted by many retailers to track consumer behaviours at a granular level …
The “uneven road” to food: Socioeconomic disparities in the mobility burden of food purchasing behavior in major US cities, 2019–2023
Y Zha - Health & Place, 2025 - Elsevier
Socioeconomic factors contribute to distinct patterns of food-purchasing behaviors, placing a
higher burden of mobility on vulnerable, deprived populations. Traditional approaches often …
higher burden of mobility on vulnerable, deprived populations. Traditional approaches often …
Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models
J Wu, V Frias-Martinez - arXiv preprint arXiv:2406.04382, 2024 - arxiv.org
Deep learning crime predictive tools use past crime data and additional behavioral datasets
to forecast future crimes. Nevertheless, these tools have been shown to suffer from unfair …
to forecast future crimes. Nevertheless, these tools have been shown to suffer from unfair …
Network-Based Transfer Learning Helps Improve Short-Term Crime Prediction Accuracy
J Wu, V Frias-Martinez - arXiv preprint arXiv:2406.06645, 2024 - arxiv.org
Deep learning architectures enhanced with human mobility data have been shown to
improve the accuracy of short-term crime prediction models trained with historical crime …
improve the accuracy of short-term crime prediction models trained with historical crime …
Auditing the Fairness of COVID-19 Forecast Hub Case Prediction Models
The COVID-19 Forecast Hub, a repository of COVID-19 forecasts from over 50 independent
research groups, is used by the Centers for Disease Control and Prevention (CDC) for their …
research groups, is used by the Centers for Disease Control and Prevention (CDC) for their …
DemOpts: Fairness corrections in COVID-19 case prediction models
COVID-19 forecasting models have been used to inform decision making around resource
allocation and intervention decisions eg, hospital beds or stay-at-home orders. State of the …
allocation and intervention decisions eg, hospital beds or stay-at-home orders. State of the …
COVID-19's Unequal Toll: An assessment of small business impact disparities with respect to ethnorace in metropolitan areas in the US using mobility data
Early in the pandemic, counties and states implemented a variety of non-pharmacological
interventions (NPIs) focused on mobility, such as national lockdowns or work-from-home …
interventions (NPIs) focused on mobility, such as national lockdowns or work-from-home …
Spatiotemporal Analysis of Vehicle Mobility Patterns Using Machine Learning Approaches
G Zhu - 2023 - search.proquest.com
Vehicle mobility is important to a diverse range of disciplines, eg, geography, transportation,
and public health. Machine Learning algorithms have been applied in geospatial analysis …
and public health. Machine Learning algorithms have been applied in geospatial analysis …