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[HTML][HTML] Review and evaluation of methods in transport mode detection based on GPS tracking data
Mobility data, based on global positioning system (GPS) tracking, have been widely used in
many areas, such as analyzing travel patterns, investigating transport safety and efficiency …
many areas, such as analyzing travel patterns, investigating transport safety and efficiency …
Effect of COVID-19 response policies on walking behavior in US cities
The COVID-19 pandemic is causing mass disruption to our daily lives. We integrate mobility
data from mobile devices and area-level data to study the walking patterns of 1.62 million …
data from mobile devices and area-level data to study the walking patterns of 1.62 million …
[HTML][HTML] Factors affecting the growth of e-shop** over the covid-19 era in hanoi, vietnam
In response to insufficient understanding of the determinants of change in e-shop**
behaviors during the COVID-19 pandemic in develo** countries, this paper used the data …
behaviors during the COVID-19 pandemic in develo** countries, this paper used the data …
Activity type detection of mobile phone data based on self-training: Application of the teacher–student cycling model
Incorporating mobile phone data, known for its high spatial and temporal resolution and
extensive population coverage, into Activity-Based Models (ABM) for understanding …
extensive population coverage, into Activity-Based Models (ABM) for understanding …
[HTML][HTML] Advances and challenges in sensor-based research in mobility, health, and place
1. Background Humans move from one place to another to fulfill their needs to survive and
flourish in their living environments. Daily mobility, places we interact with, and daily …
flourish in their living environments. Daily mobility, places we interact with, and daily …
Insights on data quality from a large-scale application of smartphone-based travel survey technology in the Phoenix metropolitan area, Arizona, USA
Collecting accurate travel data is vital for transportation planning purposes. Regional travel
demand forecasts as well as transportation system analyses depend on datasets that …
demand forecasts as well as transportation system analyses depend on datasets that …
Residency and worker status identification based on mobile device location data
Mobile device location data (MDLD) have been widely recognized for their rich human
mobility information and thus considered as a supplementary data source for the current …
mobility information and thus considered as a supplementary data source for the current …
Wheels know why you travel: Predicting trip purpose via a dual-attention graph embedding network
Trip purpose-ie, why people travel-is an important yet challenging research topic in travel
behavior analysis. Generally, the key to this problem is understanding the activity semantics …
behavior analysis. Generally, the key to this problem is understanding the activity semantics …
A kriging interpolation model for geographical flows
The kriging model can accommodate various spatial supports and has been extensively
applied in hydrology, meteorology, soil science, and other domains. With the expansion of …
applied in hydrology, meteorology, soil science, and other domains. With the expansion of …
Trip purpose imputation using GPS trajectories with machine learning
We studied trip purpose imputation using data mining and machine learning techniques
based on a dataset of GPS-based trajectories gathered in Switzerland. With a large number …
based on a dataset of GPS-based trajectories gathered in Switzerland. With a large number …