الفهرس 
URBAN INFORMATICS: NOVEL TECHNOLOGIES AND TRENDSOnly 14 pages are availabe for public view
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Abstract
Cities are facing great challenges and incremental increase in population size, transportation demands and infrastructure, thus there is a need to deal with the city in a more intelligent way and use futuristic prediction tools in order to enhance the quality of life. Nowadays, there are increasing amounts of data sources, which are responsible for reshaping cities. This new enthusiasm about technology, algorithms and applications can provide a better understanding of cities. It also enables stakeholders to have predictive statistics to help in the decisionmaking process. Data is never a new thing, but data sources are always changing. The internet made everything easier and reachable using a wide range of technologies such as IOT (Internet of Things) and M2M (Machine to Machine) etc. All of this offers a new potential to deliver an analytical framework for urban optimization. According to the technologically mutated in data sources, currently data comes from weather channels, street security cameras, Facebook, Twitter, sensor networks, in-car devices, location-based smartphone applications, RFID tags, smart meters, to mention a few (Hinssen, 2012). This massive amount of data, which comes from real-time based tools, has put the world in a new era called the era of ‘Big Data’. Accordingly, smarter approaches for urban development are highly needed to manage this enormous amount of data that exists in a sustainable way. A knowledge-based approach, will enable cities to cut costs, save energy, improve their services, optimize their infrastructure, enhance the quality of life of their citizens, reduce their environmental footprints, fuel innovation and drive sustainable economic growth. This dissertation is concerned with the newly emerged technologies in the urban informatics domain and will review developed systems worldwide, comparing and analyzing them. It will examine the cities experiences with an attempt to learn and extract guidance from their experiences in order to enhance and engage technology in the urban development process in Egypt, Alexandria City. This will be achieved through developing a city dashboard for Alexandria, Egypt. It will be designed to monitor traffic using mobile signals and will also review all the hashtags that are related to Alexandria from the most famous social network platforms (Twitter, Facebook). The dashboard will involve the user generated data as part of decision-making process and provide closely insights of citizens’ status among other diverse data sources that are essential not only for city decision makers but also for individual citizens as well