ODT FLOW: Extracting, analyzing, and sharing multi-source multi-scale human mobility
… , and expandable mobility data analysis, we developed two … of GPS points from anonymous
mobile devices. To enhance … , and to the 5V challenges in big mobility data, we develop a …
mobile devices. To enhance … , and to the 5V challenges in big mobility data, we develop a …
Establishing the integrated science of movement: bringing together concepts and methods from animal and human movement analysis
… general analytical framework for movement analysis in any … and human mobility to introduce
an integrated framework for … mobile phone traffic from the Call Detail Records (CDR) data, …
an integrated framework for … mobile phone traffic from the Call Detail Records (CDR) data, …
Characterizing mobility patterns of private electric vehicle users with trajectory data
… big data sources, such as mobile phone data, trajectory data … 4 shows the analytical framework
for characterizing mobility … from the three district categories was highly similar, probably …
for characterizing mobility … from the three district categories was highly similar, probably …
How smart is mobility in smart cities? An analysis of citizens' value perceptions through ICT applications
… of the city of Milan, as part of a larger Smart City portfolio, had … and effectiveness within
densely populated contexts. For … urban mobility services provided by ATM through its mobile …
densely populated contexts. For … urban mobility services provided by ATM through its mobile …
Understanding the modifiable areal unit problem and identifying appropriate spatial unit in jobs–housing balance and employment self-containment using big data
… A mobile phone user’s mobility pattern could be demonstrated … of residents in the city, and
the analytical framework in Zhou et … The population density of Shenzhen was high, and towers …
the analytical framework in Zhou et … The population density of Shenzhen was high, and towers …
Uncovering temporal changes in Europe's population density patterns using a data fusion approach
… -temporal population density structure of large European cities, … mobile network towers, and
can be used to analyze mobility … The analysis of European cities with a population above 1 …
can be used to analyze mobility … The analysis of European cities with a population above 1 …
Associations between mobility and socio-economic indicators vary across the timeline of the Covid-19 pandemic
… We used mobile-phone network mobility data from TELUS … analysis of mobility because
they are geographically small enough to study geographical variation throughout cities, but large …
they are geographically small enough to study geographical variation throughout cities, but large …
Robot–city interaction: Mapping the research landscape—a survey of the interactions between robots and modern cities
… analyze according to an analytical framework including a set … cities deploying autonomous
cars to enhance urban mobility, … Due to the large information needs of robotics systems, we …
cars to enhance urban mobility, … Due to the large information needs of robotics systems, we …
Mobility prediction using a weighted Markov model based on mobile user classification
… through mobile big data analysis can be exploited in a wide range of potential applications
to make a city … distributed in less densely populated scenes such as suburbs and rural areas. …
to make a city … distributed in less densely populated scenes such as suburbs and rural areas. …
Population dynamics based on mobile phone data to improve air pollution exposure assessments
… large amounts of anonymized and passively collected geolocation data allowing the analysis
of population activity and mobility … from mobile phone data based on a user-centric mobility …
of population activity and mobility … from mobile phone data based on a user-centric mobility …