5 papers · 1 filter
From "I have nothing to hide" to "It looks like stalking": Measuring Americans' Level of Comfort with Individual Mobility Features Extracted from Location Data
Naman Awasthi, Saad Mohammad Abrar, Daniel Smolyak +1
Location data collection has become widespread with smart phones becoming ubiquitous. Smart phone apps often collect precise location data from users by offering \textit{free} serv…
Systematic analysis of the effectiveness of adding human mobility data to covid-19 case prediction linear models
Saad Mohammad Abrar, Naman Awasthi, Daniel Smolyak +1
Human mobility data has been extensively used in covid-19 case prediction models. Nevertheless, related work has questioned whether mobility data really helps that much. We present…
Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models
Jiahui Wu, Vanessa Frias-Martinez
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 unfa…
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
Saad Mohammad Abrar, Kazi Tasnim Zinat, Naman Awasthi +1
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 strat…
Comparing E-bike and Conventional Bicycle Use Patterns in a Public Bike Share System: A Case Study of Richmond, VA
Yifan Yang, Elliott Sloate, Nashid Khadem +2
The results show that pedelecs are generally associated with longer trip distances, shorter trip times, higher speeds, and lower rates of uphill elevation change. The origin-destin…