53 citations · 89 across the 14 of their papers we have counts for
14 papers
Simulating Public Transit Fare Policies in NYC: An Efficient, Socioeconomic-Aware Framework
Parker Wischhover, Hossein Amiri, Kiara Ha +4
Designing equitable and effective public transit fare policies is challenging due to complex interactions among traveler behavior, multimodal networks, and socioeconomic heterogene…
SF-LIFE: A Large-Scale Simulated Movement Dataset for the San Francisco Bay Area
Chanuka Algama, Taylor Anderson, Henrique Ferraz de Arruda +14
We introduce SF-LIFE, a large-scale simulated movement dataset designed to accelerate research in transportation, mobility, and machine learning. The dataset contains 3,024,000,000…
HD-GEN: A High-Performance Software System for Human Mobility Data Generation Based on Patterns of Life
Hossein Amiri, Joon-Seok Kim, Hamdi Kavak +4
Understanding individual-level human mobility is critical for a wide range of applications. Real-world trajectory datasets provide valuable insights into movement behaviors and pat…
Spatial Transfer Learning for Estimating PM2.5 in Data-poor Regions
Shrey Gupta, Yongbee Park, Jianzhao Bi +4
Air pollution, especially particulate matter 2.5 (PM2.5), is a pressing concern for public health and is difficult to estimate in developing countries (data-poor regions) due to a…
Probabilistic Counting in Uncertain Spatial Databases using Generating Functions
Andreas Züfle
Location data is inherently uncertain for many reasons including 1) imprecise location measurements, 2) obsolete observations that are often interpolated, and 3) deliberate obfusca…
Change of human mobility during COVID-19: A United States case study
Justin Elarde, Joon-Seok Kim, Hamdi Kavak +2
With the onset of COVID-19 and the resulting shelter in place guidelines combined with remote working practices, human mobility in 2020 has been dramatically impacted. Existing stu…