Big data applications: Overview, challenges and future
Big Data (ie, social big data, vehicular big data, healthcare big data etc) points to massive
and complex data, that require special technologies and approaches for storage …
and complex data, that require special technologies and approaches for storage …
Context modeling and processing in Location Based Services: research challenges and opportunities
To ensure good usability, Location Based Services (LBS) should be context-aware, ie
adapting the information and services according to the context of their user, such as his/her …
adapting the information and services according to the context of their user, such as his/her …
Sustainable open data ecosystems in smart cities: A platform theory-based analysis of 19 European cities
An understanding of how modern Open Data Ecosystems (ODEs) work is critical in the
context of current trends towards sustainability and smartness, while is seen to be an asset …
context of current trends towards sustainability and smartness, while is seen to be an asset …
[HTML][HTML] Understanding temporal and spatial patterns of urban activities across demographic groups through geotagged social media data
Large-scale geotagged social media data have been increasingly used for exploring human
movement patterns in cities. Challenges of this new data type, such as non-representative …
movement patterns in cities. Challenges of this new data type, such as non-representative …
Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring
A Nalin, V Vignali, C Lantieri, D Cappellari… - Journal of Transport …, 2024 - Elsevier
Veracity is a critical dimension of Big Data, as it is related to the quality of data. Its role is
even more important when Big Data are supposed to be a counterpart or a substitute of …
even more important when Big Data are supposed to be a counterpart or a substitute of …
Capturing urban recreational hotspots from GPS data: A new framework in the lens of spatial heterogeneity
Recreational activities are heterogeneously distributed throughout urban space, with far
more low-density areas than high-density ones. Identification of recreational hotspots, or …
more low-density areas than high-density ones. Identification of recreational hotspots, or …
Using street-view panoramas to model the decision-making complexity of road intersections based on the passing branches during navigation
The complexity of urban physical environments at road intersections is a primary factor
characterizing the difficulty of wayfinding, which is a fundamental spatial activity of human …
characterizing the difficulty of wayfinding, which is a fundamental spatial activity of human …
[HTML][HTML] Exploiting geospatial data of connectivity and urban infrastructure for efficient positioning of emergency detection units in smart cities
The detection of critical situations through the adoption of multi-sensor Emergency Detection
Units (EDUs) can significantly reduce the time between the initial stages of urban …
Units (EDUs) can significantly reduce the time between the initial stages of urban …
From trajectories to network: Delineating the spatial pattern of recreational walking in Guangzhou
Recreational walking is increasingly recognized as an essential aspect of daily life, whose
network structure serving as a crucial tool for characterizing activity patterns. However …
network structure serving as a crucial tool for characterizing activity patterns. However …
Inferring building function: A novel geo-aware neural network supporting building-level function classification
Buildings are fundamental components of urban areas and they play a vital role in
supporting human activities in daily life. Understanding the actual building functions is …
supporting human activities in daily life. Understanding the actual building functions is …