Passively-generated data, such as GPS data and cellular data, bring tremendous
opportunities for human mobility analysis and transportation applications. Since their …

Due to the ubiquity of mobile phones, mobile phone network data (eg, Call Detail Records,
CDR; and cellular signaling data, CSD), which are collected by mobile telecommunication …

Passively-generated mobile phone data is emerging as a potential data source for
transportation research and applications. Despite the large amount of studies based on the …

Traditional data acquisition methods, such as surveys and diaries, used in transportation
studies have become burdensome and inefficient in comparison to the emerging sources of …

In this study, with Singapore as an example, we demonstrate how we can use mobile phone
call detail record (CDR) data, which contains millions of anonymous users, to extract …

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 …

Human mobility patterns are associated with many aspects of our life. With the increase of
the popularity and pervasiveness of smartphones and portable devices, the Internet of …

Passively generated mobile phone dataset is emerging as a new data source for research in
human mobility patterns. Information on individuals' trajectories is not directly available from …

Understanding travel behaviour and travel demand is of constant importance to
transportation communities and agencies in every country. Nowadays, attempts have been …

Mobility and spatial interaction data have become increasingly available due to the wide
adoption of location‐aware technologies. Examples of mobility data include human daily …