! Prior work in architectural and urban studies suggests that there is a strong correlation between people dynamics and crime activities in an urban environment. These studies have been conducted primarily using qualitative evaluation methods, and as such are limited in terms of the geographic area they cover, the number of respondents they reach out to, and the temporal frequency with which th...

The automatic analysis of real-life, long-term behavior and dynamics of individuals and groups from mobile sensor data constitutes an emerging and challenging domain. We present a framework to classify people’s daily routines (defined by day type, and by group affiliation type) from real-life data collected with mobile phones, which include physical location information (derived from cell tower...

Deploying sensors over large areas is costly in terms of configuration, hardware, and maintenance. Using onboard sensors of today mobile phones can significantly reduce the expenses in monitoring areas and disseminating events or data. Via the available short-range Bluetooth and/or WiFi interfaces, measured data are not only gradually delivered, but also possibly more reliable. In our simulatio...

background: the use of mobile phone by children is increasing drastically. children are likely to accumulate many years of exposure during their lives. furthermore, as nervous systems in children are developing, children may be at a greater risk compared to adults. in this light, some scientists have suggested that the use of mobile phones should be restricted in high-risk groups such as childr...

cell phone technology is being increasingly used by clinicians to access up-to-date information during patient care. medical students, residents, and faculty members of medical faculties or hospitals use mobile devices, such as smartphones (e.g., iphone, android, blackberry) and tablet computers (e.g., ipad), to answer clinical questions and find medical information. this article investigates t...

Can data from mobile phones be used to observe economic shocks and their consequences at multiple scales? Here we present novel methods to detect mass layoffs, identify individuals affected by them and predict changes in aggregate unemployment rates using call detail records (CDRs) from mobile phones. Using the closure of a large manufacturing plant as a case study, we first describe a structur...

This article addresses the issue of analyzing and mapping mobility practices by using different kinds of mobile phone network data, which provide geo-located information on mobile phone activity at a high spatial and temporal resolution. It will present and discuss major findings and drawbacks, based on an application carried out on the Milan urban region (Lombardy, Northern Italy) and suggest ...

Large-scale urban sensing data such as mobile phone traces are emerging as an important data source for urban modeling. This study represents a first step towards building a methodology whereby mobile phone data can be more usefully applied to transportation research. In this paper, we present techniques to extract useful mobility information from the mobile phone traces of millions of users to...

Individual adoption of technology has been studied extensively in the workplace (Brown & Venkatesh, 2005). Far less attention has been paid to adoption of technology in the household (Brown & Venkatesh, 2005). Obviously, mobile phone is now integrated into our daily life. Indeed, according to the more recent forecast of Gartner Research, 986 millions of mobile phones have been sold throughout t...

With the advent of wireless communication and internet protocol, many technologies have been developed to provide mobile phone user with the wireless internet service. Security supporting wireless internet must be guaranteed at same level as the wired security. But PKI (Public Key Infrastructure) which is used for the security of e-commerce in wired internet is not suitable for the mobile phone...