The last decade has witnessed very active development in two broad, but separate fields,
both involving understanding and modeling of how individuals move in time and space …

Global positioning system (GPS) devices have been utilised in travel surveys since the late
1990s. Because GPS devices are very accurate at recording time and positional …

Big data is becoming a research focus in intelligent transportation systems (ITS), which can
be seen in many projects around the world. Intelligent transportation systems will produce a …

This paper adopts different supervised learning methods from the field of machine learning
to develop multiclass classifiers that identify the transportation mode, including driving a car …

There is a growing recognition of the role that walking and cycling can make in reducing
greenhouse gas (GHG) emissions by substituting motorized travel, particularly on short trips …

Smartphones have become a useful tool in agriculture because their mobility matches the
nature of farming, the cost of the device is highly accessible, and their computing power …

Transportation and locomotion mode recognition from multimodal smartphone sensors is
useful for providing just-in-time context-aware assistance. However, the field is currently …

Drawing on examples from human mobility research, I argue in this article that the advent of
big data has significantly increased the role of algorithms in mediating the geographic …

Abstract Location Based Services (LBS) provide a new perspective for spatiotemporally
analyzing dynamic urban systems. Research has investigated urban dynamics using LBS …

Recognition of transportation modes can be used in different applications including human
behavior research, transport management and traffic control. Previous work on …