Researchers from the Singapore-MIT Alliance for Research and Technology developed a synthetic framework known as theory-based residual neural network (TB-ResNet) to improve individual decision-making analysis used in travel behaviour research. The research explains that data-driven and theory-driven models, which are generally used as separate methods that are conflicting, are actually highly complementary and can provide valuable insights into urban transportation planning.
By counting pedestrians in the Kendall Square area of Cambridge, Massachusetts, MIT Associate Professor Andres Sevtsuk has produced a new model of pedestrian flows on street networks that can be used for city planning.
The review presents evidence and a framework linking COVID-19 mitigation strategies, the built environment and transportation to health determinants and outcomes.
When winter storms threaten to make travel dangerous, people often turn to salt to melt snow and ice. Road salt is an important tool for safety, but a new study in Biogeochemistry led by Sujay Kaushal of the University of Maryland warns that introducing salt into the environment--for de-icing roads, fertilizing farmland or other purposes--releases toxic chemical cocktails that create a serious and growing global threat to our freshwater supply and human health.
New research by the University of Kent has found that using low-cost psychological interventions can reduce vehicle engine idling and in turn improve air quality, especially when there is increased traffic volume at railway level crossings.
A study by Singapore-MIT Alliance for Research and Technology (SMART) to assess how ridesharing impacts urban mobility in the United States, found that ridesharing increased both intensity and duration of road congestion. Ridesharing substituted for public transit ridership by almost 9% and there was no significant change in private vehicle ownership.
Large-scale analysis of pedestrian data from three European cities examines how building density and street design influence pedestrian behavior.
Members of the UTEP faculty, staff and students observed several of El Paso's drive-though and walk-in clinics in early 2021. The team identified areas that likely created bottlenecks, which produce delays and other issues. They used the information from their observations to develop simulation models to experiment with a clinic's performance to further identify potential slowdowns, calculate resource utilization and reduce patient waiting time.
A new George Mason University College of Health and Human Services study is one of first individual-level studies to track movements and symptoms during the COVID-19 pandemic. Dr. Janusz Wojtusiak led the study--one of the first individual-level studies to track movements and symptoms during the COVID-19 pandemic.
COVID-19 has been shown to spread on airplanes by infected passengers, so minimizing the risk of secondary infections aboard aircraft may save lives. New research in the INFORMS journal Service Science uses two models to help solve the airplane seating assignment problem (ASAP). The models can lower the transmission risk of COVID-19 more so than the strategy of blocking the middle seats, given the same number of passengers.