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

Mobile phone data are an interesting new data source for official statistics. However,
multiple problems and uncertainties need to be solved before these data can inform, support …

In this paper, we propose a correction of the Mobility Entropy indicator (ME) used to describe
the diversity of individual movement patterns as can be captured by data from mobile …

How many base travel groups (models) are necessary for clarifying the long-term day-to-day
dynamics of intercity travel? In the past, several travel purposes (eg, sightseeing, business …

Sound knowledge of travel behavior is important for many findings and decisions in science,
business and transport policy. This is not only about spatial distribution, but also and above …

In this work, we discuss how an existing algorithm to extract long-distance trips from mobile
phone data (Janzen et al., 2016 a, b) can be supplemented with man-made heuristics to …

The Japanese government implemented a request for people to reduce movement to
suppress the spatial spread of COVID-19. Individuals cancelled relatively unimportant …

In this work we present two methods that can extract habitual movement patterns and
reconstruct the underlying movement of users from their call detail records (CDR) in a way …

Origin-destination (OD) matrix estimation has conventionally required costly surveys or other
forms of sensor data. In this paper, we propose that map data can supplement or partially …

Mobile phone location data enable us to obtain accurate and temporally detailed long‐
distance travel distribution. However, the traditional long‐distance travel distribution model …