Estimating wildfire evacuation decision and departure timing using large-scale GPS data

X Zhao, Y Xu, R Lovreglio, E Kuligowski… - … research part D …, 2022 - Elsevier
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 …

[HTML][HTML] Estimation of truck origin-destination flows using GPS data

MG Demissie, L Kattan - Transportation Research Part E: Logistics and …, 2022 - Elsevier
Large trucking vehicles have a comparatively more significant impact on safety, traffic
congestion, pollution, and pavement wear than passenger vehicles. Appropriate planning …

Modeling and predicting evacuation flows during hurricane Irma

L Hong, V Frias-Martinez - EPJ Data Science, 2020 - epjds.epj.org
Evacuations are a common practice to mitigate the potential risks and damages made by
natural disasters. However, without proper coordination and management, evacuations can …

Visualizing public transit system operation with GTFS data: A case study of Calgary, Canada

P Prommaharaj, S Phithakkitnukoon, MG Demissie… - Heliyon, 2020 - cell.com
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 …

Destination unknown: Examining wildfire evacuee trips using GPS data

TJ Cova, Y Sun, X Zhao, Y Liu, ED Kuligowski… - Journal of Transport …, 2024 - Elsevier
Effective wildfire evacuation planning requires understanding where evacuees are likely to
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

A Hadachi, M Pourmoradnasseri… - Journal of Transport …, 2020 - Elsevier
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 …

Inferring and modeling migration flows using mobile phone network data

S Hankaew, S Phithakkitnukoon, MG Demissie… - IEEE …, 2019 - ieeexplore.ieee.org
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 …

Quantifying local mobility patterns in urban human mobility data

M Malekzadeh, D Reuschke… - International Journal of …, 2024 - Taylor & Francis
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 …

Applications of passive GPS data to characterize the movement of freight trucks—a case study in the Calgary region of Canada

A Kinjarapu, MG Demissie, L Kattan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Methods for inferring route choice of commuting trip from mobile phone network data

P Sakamanee, S Phithakkitnukoon, Z Smoreda… - … International Journal of …, 2020 - mdpi.com
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 …