Traditional occupant behavior modeling has been studied at the building level, and it has
become an important factor in the investigation of building energy consumption. However …

Countries in Europe took different mobility containment measures to curb the spread of
COVID-19. The European Commission asked mobile network operators to share on a …

This work presents a mobility indicator derived from fully anonymised and aggregated
mobile positioning data. Even though the indicator does not provide information about the …

Origin-destination~(OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …

Call detail records (CDR) collected by mobile phone network providers have been largely
used to model and analyze human-centric mobility. Despite their potential, they are limited in …

The impact of urban rail transit on changes in various travel behavior outcomes has long
been debated. However, few studies have used large-scale panel data to investigate how …

Mobile device location data (MDLD) contains abundant travel behavior information to
support travel demand analysis. Compared to traditional travel surveys, MDLD has larger …

Vehicle volume serves as a critical metric and the fundamental basis for traffic signal control,
transportation project prioritization, road maintenance planning, and more. Traditional …

In the last decade, humanity has faced many different pandemics such as SARS, H1N1, and
presently novel coronavirus (COVID-19). On one side, scientists have developed …

With the consolidation of the culture of evidence-based policymaking, the availability of data
has become central to policymakers. Nowadays, innovative data sources offer an …