The emerging Bicycle Sharing System (BSS) provides a new social microscope that allows us to "photograph" the main aspects of the society and to create a comprehensive picture of human mobility behavior in this new medium. BSS has been deployed in many major cities around the world as a short-distance trip supplement for public transportations and private vehicles. A unique value of the bike fl...

Cellular phones are now offering an ubiquitous means for scientists to observe life: how people act, move and respond to external influences. They can be utilized as measurement devices of individual persons and for groups of people of the social context and the related interactions. The picture of human life that emerges shows complexity, which is manifested in such data in properties of the s...

Vitaly Belik,* Theo Geisel, and Dirk Brockmann Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany Faculty of Physics, University of Göttingen, Göttingen, Germany Northwestern Institute on Complex Systems, Northwestern University, Evanston, Illinois, USA Department of Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, Illinois, USA (Received...

Simulating human mobility is important in mobile networks because many mobile devices are either attached to or controlled by humans and it is very hard to deploy real mobile networks whose size is controllably scalable for performance evaluation. Lately various measurement studies of human walk traces have discovered several significant statistical patterns of human mobility. Namely these incl...

As a significant factor in urban planning, traffic forecasting and prediction of epidemics, modeling patterns of human mobility draws intensive attention from researchers for decades. Power-law distribution and its variations are observed from quite a few real-world human mobility datasets such as the movements of banking notes, trackings of cell phone users’ locations and trajectories of vehic...

In the past decade, large scale mobile phone data have become available for the study of human movement patterns. These data hold an immense promise for understanding human behavior on a vast scale, and with a precision and accuracy never before possible with censuses, surveys or other existing data collection techniques. There is already a significant body of literature that has made key inroa...

It is believed that personal mobility patterns of a human are highly related to a person’s personality. The person’s location at a given time can be identified in case the person carries positioning devices, and thus a personal mobility patterns can be identified. One of the personality models, the big five personality models have been regarded as a representative model of a personality identif...

Policy reform can remove obstacles to intergenerational social mobility and thereby promote equality of opportunities across individuals. Such reform will also enhance economic growth by allocating human resources to their best use. This chapter assesses recent crosscountry patterns in intergenerational social mobility and examines the role that public policies play in affecting mobility. Inter...

Nowadays, human movement in urban spaces can be traced digitally in many cases. It can be observed that movement patterns are not constant, but vary across time and space. In this work, we characterize such spatio-temporal patterns with an innovative combination of two separate approaches that have been utilized for studying human mobility in the past. First, by using non-negative tensor factor...

Understanding, modeling and simulating human mobility among urban regions is very challengeable effort. It is very important in rescue situations for many kinds of events, either in the indoor events like evacuation of buildings or outdoor ones like public assemblies, community evacuation, in exigency situations there are several incidents could be happened, the overcrowding causes injuries and...