[HTML][HTML] From intangible to tangible: The role of big data and machine learning in walkability studies

J Yang, P Fricker, A Jung - Computers, Environment and Urban Systems, 2024 - Elsevier
Walkability reflects the well-being of a city, and its measurement is evolving rapidly due to
advancements of big data and machine learning technologies. The study examines the …

Responding to cardiac arrest in the community in the digital age

KS Allan, E O'Neil, MM Currie, S Lin, JL Sapp… - Canadian Journal of …, 2022 - Elsevier
Sudden cardiac arrest (SCA) is a common event, affecting almost 400,000 individuals
annually in North America. Initiation of cardiopulmonary resuscitation (CPR) and early …

[HTML][HTML] Trackintel: An open-source Python library for human mobility analysis

H Martin, Y Hong, N Wiedemann, D Bucher… - … Environment and Urban …, 2023 - Elsevier
Over the past decade, scientific studies have used the growing availability of large tracking
datasets to enhance our understanding of human mobility behavior. However, so far data …

Distribution patterns and influencing factors of population exposure risk to particulate matters based on cell phone signaling data

C Zhang, Y Hu, MD Adams, R Bu, Z Xiong, M Liu… - Sustainable Cities and …, 2023 - Elsevier
In this study, spatial-temporal characteristics of particular matter (PM) exposure risk in
Shenyang were analyzed with landscape patterns using data from land use, cell phone …

Spatiotemporal Distribution Patterns and Exposure Risks of PM2.5 Pollution in China

J Song, C Li, M Liu, Y Hu, W Wu - Remote Sensing, 2022 - mdpi.com
The serious pollution of PM2. 5 caused by rapid urbanization in recent years has become an
urgent problem to be solved in China. Annual and daily satellite-derived PM2. 5 datasets …

Predicting the variability in pedestrian travel rates and times using crowdsourced GPS data

MJ Campbell, PE Dennison, MP Thompson - Computers, Environment and …, 2022 - Elsevier
Accurately predicting pedestrian travel times is critically valuable in emergency response,
wildland firefighting, disaster management, law enforcement, and urban planning. However …

[HTML][HTML] Modeling pedestrians' activity time-use choices in a virtual urban public space: The influences of the environment and affective experience

S Yang, G Dane, TA Arentze - Cities, 2024 - Elsevier
Understanding pedestrians' time-use choices for multiple activities in urban public spaces is
crucial for developing diverse and inclusive public spaces. Few studies have explored how …

[HTML][HTML] Evaluating geospatial context information for travel mode detection

Y Hong, E Stüdeli, M Raubal - Journal of Transport Geography, 2023 - Elsevier
Detecting travel modes from global navigation satellite system (GNSS) trajectories is
essential for understanding individual travel behavior and a prerequisite for achieving …

Combining sensors and surveys to study social interactions: a case of four science conferences

M Génois, M Zens, M Oliveira, CM Lechner… - Personality …, 2023 - journals.sagepub.com
We present a unique collection of four data sets to study social behaviour, collected during
international scientific conferences. Interactions between participants were tracked using the …

IoT-based child tracking using RFID and GPS

N Ahmed, SK Gharghan, AH Mutlag - International Journal of …, 2023 - Taylor & Francis
With growing concerns about their children's safety and security, parents have shown an
increasing interest in creating a dependable system that allows them to track and monitor …