Speaker
Description
This cross-disciplinary paper aims to explore the use of Data Science when it comes to the process of planning the development of cities across Spain and compare it to the one in other European countries. It will also base some of its arguments on the trends of the urbanization process in Spain and Europe. By examining various data-driven strategies and the importance of better planned cities, it will answer the research question “How is Data Science used in data-driven planning and development of cities in Spain and Europe?”. The growing population around the world has had its subsequent changes when it comes to organizing the cities people live in. What’s more, with the increased use of data in all aspects of our lives, data also become key in the process of city organizing. The significance of the concepts of urbanization and the need for better city planning has also been growing and one way to further develop them is through Data Science. There are noticeable trends in urbanization across Spain and Europe shown by data in various contexts. In addition, data and Data Science have been actively used in Spain’s education, politics, and economy, but they can be used to develop the urban areas of the cities so they can benefit in terms of transport, security, pedestrian zones, and in other aspects. Other countries in Europe have used data-driven strategies to better organize their cities in such a way that they can become what are called “Smart Cities” and among the benefits of them is their positive impact regarding the countries’ politics and society. When comparing Spain with other countries in Europe with regard to their use of Data Science in the context of city planning, it becomes clear that having better planned cities is important and contributes to achieving a better functioning society.
Keywords: trend, urbanization, city planning, Spain, Europe, data, data-driven, Data Science, Smart Cities, development, society, politics, culture.
