This paper presents an approach for building data collections and cloud services required for building intelligent transport applications. Services implement Big Data analytics functions that can bring new insights and useful correlations of large data collections and provide knowledge for managing transport issues. Applying data analytics to transport systems brings better understanding to the...

-In the current era, the size as well as the dimensions of traffic is increasing to a huge extend now days. The traffic system throughout the world is making use of technology for tracking, monitoring, congestion control and many other applications. The issue of congestion is very common in big cities where thousands of automobile systems are running on the roads. Vehicular ad hoc networks (VAN...

An underlying assumption in the executive compensation literature is that there is a national labor market for CEOs. The urban economics literature, however, documents higher ability among workers in large metropolitans, which results in a real and stable urban wage premium. In this paper, we investigate the link between the spatial clustering of firms in big, central cities (i.e., urban agglom...

BACKGROUND Hyperuricemia (HUA) is a potential risk factor for developing insulin resistance, hypertension, dyslipidemia and cardiovascular disease. Therefore, we studied the prevalence of HUA and associated risk factors in the population of two provinces in northern China. METHODS Based on the research of Chinese Physiological Constant and Health Conditions conducted in 2008-2010, we enrolled...

Aim The aim of the study is to evaluate the behavior of Lebanese pediatricians regarding children's oral health. Materials and methods A cross sectional study including 100 Lebanese pediatricians was performed. They answered 11 questions. Three variables were taken into consideration: The number of years in practice, the place and the type of practice. Results The answers were tabulated acc...

This article gives a brief overview of the Internet of Things (IoT) for cities, offering examples of IoT-powered 21st century smart cities, including the experience of the Spanish city of Barcelona in implementing its own IoT-driven services to improve the quality of life of its people through measures that promote an eco-friendly, sustainable environment. The potential benefits as well as the ...

New, “big” data sources allow measurement of city characteristics and outcome variables higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for the study of cities when it allows measurement of the previously opaque, or when it can be coupled with exogenous shocks to people...

URBAN computing is a process of acquisition, integration, and analysis of big and heterogeneous data generated by a diversity of sources in urban spaces, such as sensors, devices, vehicles, buildings, and human, to tackle the major issues that cities face, e.g., air pollution, increased energy consumption and traffic congestion. Urban computing connects unobtrusive and ubiquitous sensing techno...

Driven by innovations such as mass customisation, complex supply chains, smart cities and emerging cyber-physical and Internet of Things systems, Big Data is presenting a fascinating range of challenges to Analytics. New fields are emerging such as Big Data Analytics and Data Science. Modeling & Simulation (M&S) is core to Analytics. Arguably, contemporary M&S practices cannot deal with the dem...