Estimating wildfire evacuation decision and departure timing using large-scale GPS data
Recently, wildfires have created severe challenges for fire and emergency services and
communities in the wildland-urban interface (WUI). To reduce wildfire risk and enhance the …
communities in the wildland-urban interface (WUI). To reduce wildfire risk and enhance the …
[HTML][HTML] Estimation of truck origin-destination flows using GPS data
Large trucking vehicles have a comparatively more significant impact on safety, traffic
congestion, pollution, and pavement wear than passenger vehicles. Appropriate planning …
congestion, pollution, and pavement wear than passenger vehicles. Appropriate planning …
Modeling and predicting evacuation flows during hurricane Irma
Evacuations are a common practice to mitigate the potential risks and damages made by
natural disasters. However, without proper coordination and management, evacuations can …
natural disasters. However, without proper coordination and management, evacuations can …
Visualizing public transit system operation with GTFS data: A case study of Calgary, Canada
Public transportation agencies are one of the industries that generate a large volume of data
on a high frequency and velocity basis. The General Transit Feed Specification (GTFS) is …
on a high frequency and velocity basis. The General Transit Feed Specification (GTFS) is …
Destination unknown: Examining wildfire evacuee trips using GPS data
Effective wildfire evacuation planning requires understanding where evacuees are likely to
travel and temporarily reside. Detailed information on evacuee destinations is a valuable …
travel and temporarily reside. Detailed information on evacuee destinations is a valuable …
[HTML][HTML] Unveiling large-scale commuting patterns based on mobile phone cellular network data
In this study, with Estonia as an example, we established an approach based on Hidden
Markov Model to extract large-scale commuting patterns at different geographical levels …
Markov Model to extract large-scale commuting patterns at different geographical levels …
Inferring and modeling migration flows using mobile phone network data
Estimating migration flows and forecasting future trends is important, both to understand the
causes and effects of migration and to implement policies directed at supplying particular …
causes and effects of migration and to implement policies directed at supplying particular …
Quantifying local mobility patterns in urban human mobility data
Understanding fine-scale dynamics of human mobility patterns is pivotal for effective urban
planning, public health strategies, and retail analysis. This study introduces a novel mobility …
planning, public health strategies, and retail analysis. This study introduces a novel mobility …
Applications of passive GPS data to characterize the movement of freight trucks—a case study in the Calgary region of Canada
The movement of trucks represents a significant portion of travel. Surveys have traditionally
been used to measure truck movement, but this costly and limited data collection method …
been used to measure truck movement, but this costly and limited data collection method …
Methods for inferring route choice of commuting trip from mobile phone network data
For billing purposes, telecom operators collect communication logs of our mobile phone
usage activities. These communication logs or so called CDR has emerged as a valuable …
usage activities. These communication logs or so called CDR has emerged as a valuable …