Urban sensing based on mobile phone data: Approaches, applications, and challenges

M Ghahramani, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Data volume grows explosively with the proliferation of powerful smartphones and
innovative mobile applications. The ability to accurately and extensively monitor and …

[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 …

[HTML][HTML] Health care visits during the COVID-19 pandemic: A spatial and temporal analysis of mobile device data

J Wang, N McDonald, AL Cochran, L Oluyede, M Wolfe… - Health & place, 2021 - Elsevier
Transportation disruptions caused by COVID-19 have exacerbated difficulties in health care
delivery and access, which may lead to changes in health care use. This study uses mobile …

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 …

Comparison of home detection algorithms using smartphone GPS data

R Verma, S Mittal, Z Lei, X Chen, SV Ukkusuri - EPJ Data Science, 2024 - epjds.epj.org
Estimation of people's home locations using location-based services data from smartphones
is a common task in human mobility assessment. However, commonly used home detection …

G2Viz: an online tool for visualizing and analyzing a public transit system from GTFS data

S Para, T Wirotsasithon, T Jundee, MG Demissie… - Public Transport, 2024 - Springer
Public transit agencies have amassed substantial data through on-board and off-board
sensors over the years. While data collection was the primary focus, there is now a shift …

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 …

Research on accessibility and equity of urban transport based on multisource big data

F Shi - Journal of Advanced Transportation, 2021 - Wiley Online Library
Daily travel is an important means for everyone to obtain the right to development. With the
development of the economy and the progress of the times, the equalization of public …

Predicting spatiotemporal demand of dockless e-scooter sharing services with a masked fully convolutional network

S Phithakkitnukooon, K Patanukhom… - … International Journal of …, 2021 - mdpi.com
Dockless electric scooters (e-scooter) have emerged as a green alternative to automobiles
and a solution to the first-and last-mile problems. Demand anticipation, or being able to …

A random forest model for travel mode identification based on mobile phone signaling data

Z Lu, Z Long, J **a, C An - Sustainability, 2019 - mdpi.com
Identifying and detecting the travel mode and pattern of individual travelers is an important
problem in transportation planning and policy making. Mobile-phone Signaling Data (MSD) …