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

The COVID-19 outbreak has significantly impacted people's mobility in terms of travel, which
is directly related to regional economic vitality and individuals' well-being. This study …

A longitudinal mobile phone data that include both location and communication logs is
analyzed to infer social influence in terms of ego-network effect in the commute mode …

The development of a trip distribution model requires a massive data collection task, such as
expensive travel surveys to identify trip makers' origin and destination zones. Intra-zonal …

Accessibility is widely considered as the most crucial benefit of any transportation system.
Low accessibility may cause compromise on living conditions, low economic growth, high …

This study demonstrates the use of mobile phone data to derive country-wide mobility
patterns. We identified significant locations of users such as home, work, and other based on …

In this paper, mobile phone signaling data are first processed to extract information such as
the trip volume and spatial distribution from the starting point to the termination point. This …

Temporary migration trips are circulatory journeys that can be associated with tourism as
these trips aren't made on a regular basis. They're often left unmeasured due to limited data …

The emerging ride‐sourcing service has become an important element of urban mobility. A
challenging question underlying the provision of such service is how and to what extent the …

The goal of sample-data-based origin-destination (OD) demand estimation is to aggregate
the location data into the traffic network. Inevitably, the scaling rate, which expands the …