BIOPHYLIA AND BIOPHYLIC DESIGN EFFECTS ON QUALITY OF LIFE

In his book Biophilia (1984), Edward O. Wilson, the promoter of the concept of biophilia, defines this concept as "the desire to affiliate with other life forms," suggesting that humans tend to seek connections with nature, with other forms of life, this search being even in the subconscious and characterizing it as a genetic disposition that binds human survival to the valorization of living systems. J. Baird Callicott also argues that human feelings are naturally directed to all living systems and beings, which has evolutionary value. The foundation of this conception is found even in the ethics of Aristotle, who questions the term philia (friendship), providing a theory of interspecific obligation. The application of biophilia in interior design is a relatively new concept, but it can have a significant impact on the quality of human life. Biophilic design uses natural elements and patterns to improve the indoor environment, given that people currently spend most of their time indoors. E. Wilson believes that the implementation of biophilia in interior design benefits physically, mentally and socially, influencing well-being, productivity and social relationships.

DATA DRIVEN DEVELOPMENT: ANALYZING URBAN CHANGE THROUGH CONSTRUCTION, DEMOLITION, AND RENOVATION

DATA DRIVEN DEVELOPMENT: ANALYZING URBAN CHANGE THROUGH CONSTRUCTION, DEMOLITION, AND RENOVATIO

Predicting Completion Risk in PPP Projects using Big Data Analytics

Accurate prediction of potential delays in public private partnerships (PPP) projects could provide valuable information relevant for planning and mitigating completion risk in future PPP projects. However, existing techniques for evaluating completion risk remain incapable of identifying hidden patterns in risk behavior within large samples of projects, which are increasingly relevant for accurate prediction. To effectively tackle this problem in PPP projects, this study proposes a Big Data Analytics predictive modeling technique for completion risk prediction. With data from 4294 PPP project samples delivered across Europe between 1992 and 2015, a series of predictive models have been devised and evaluated using linear regression, regression trees, random forest, support vector machine, and deep neural network for completion risk prediction. Results and findings from this study reveal that random forest is an effective technique for predicting delays in PPP projects, with lower average test predicting error than other legacy regression techniques. Research issues relating to model selection, training, and validation are also presented in the study

Adaptive-predictive control strategy for HVAC systems in smart buildings – A review

Abstract High share of energy consumption in buildings and subsequent increase in greenhouse gas emissions along with stricter legislations have motivated researchers to look for sustainable solutions in order to reduce energy consumption by using alternative renewable energy resources and improving the efficiency in this sector. Today, the smart building and socially resilient city concepts have been introduced where building automation technologies are implemented to manage and control the energy generation/consumption/storage. Building automation and control systems can be roughly classified into traditional and advanced control strategies. Traditional strategies are not a viable choice for more sophisticated features required in smart buildings. The main focus of this paper is to review advanced control strategies and their impact on buildings and technical systems with respect to energy/cost saving. These strategies should be predictive/responsive/adaptive against weather, user, grid and thermal mass. In this context, special attention is paid to model predictive control and adaptive control strategies. Although model predictive control is the most common type used in buildings, it is not well suited for systems consisting of uncertainties and unpredictable data. Thus, adaptive predictive control strategies are being developed to address these shortcomings. Despite great progress in this field, the quantified results of these strategies reported in literature showed a high level of inconsistency. This is due to the application of different control modes, various boundary conditions, hypotheses, fields of application, and type of energy consumption in different studies. Thus, this review assesses the implementations and configurations of advanced control solutions and highlights research gaps in this field that need further investigations

Economic analysis of flood risk applied to the rehabilitation of drainage networks

Over time, cities have grown, developing various activities and accumulating important economic assets. Floods are a problem that worry city administrators who seek to make cities more resilient and safer. This increase in flood events is due to different causes: poor planning, population increase, aging of networks, etc. However, the two main causes for the increase in urban flooding are the increment in frequency of extreme rainfall, generated mainly by climate change, and the increase in urbanized areas in cities, which reduce green areas, decreasing the percentage of water that seeps naturally into the soil. As a contribution to solve these problems, the work presented shows a method to rehabilitate drainage networks that contemplates implementing different actions in the network: renovation of pipes, construction of storm tanks and installation of hydraulic controls. This work focuses on evaluating the flood risk in economic terms. To achieve this, the expected annual damage from floods and the annual investments in infrastructure to control floods are estimated. These two terms are used to form an objective function to be minimized. To evaluate this objective function, an optimization model is presented that incorporates a genetic algorithm to find the best solutions to the problem; the hydraulic analysis of the network is performed with the SWMM model. This work also presents a strategy to reduce computation times by reducing the search space focused mainly on large networks. This is intended to show a complete and robust methodology that can be used by managers and administrators of drainage networks in cities

Digital Twins II

Treball desenvolupat en el marc del programa "European Project Semester".Digital Twins have been around since the early 2000s, but it has only been until now that they started to be affordable thanks to the Internet of Things. In the realm of smart cities, a Digital Twin is a virtual model of a city, a replica of the physical world, which are rapidly becoming indispensable tools to visualize the pulse of the city in real time with layered data sources of buildings, urban infrastructure, utilities, businesses, movement of people and vehicles. The advantages of implementing this concept is that it significantly increases the city's stability. Testing in a virtual model helps prevent emergencies, properly allocate resources that reduces costs and the chances of failure in the real world. This project is a continuation of the last year's theoretical study Digital Twins Ⅰ and its aim is to continue the research about Digital City Twins and explore the Big Data from the city sensors of Vilanova i la Geltrú. A group of five international students, led by the company Neapolis, are working on transforming the city into a smart one within the summer semester of the academic year 2020- 2021. In the process, we studied scientific articles, consulted with university professors from different countries (Spain, Belgium, Brazil), contacted IT and Data Security companies to obtain the necessary information. The report provides a study of practical examples using Digital Twins around the world, their impact on the city improvement, comparison of different platforms and software for developing Digital Twins and the reasoned choice of the best option for use in the next part of the project. Furthermore, it describes Information Infrastructure of Digital Cities, Big Data Management, Data Security and the implementation of Digital Twins in Vilanova i la Geltrú. The Big Data received from the city authorities was read and analyzed in the data part with necessary conclusions. This project made a great contribution to the further development of the Digital Twins for Vilanova i la Geltrú and will simplify the practical implementation for our followers of the next EPS project.Incomin

Proceedings of the 9th Arab Society for Computer Aided Architectural Design (ASCAAD) international conference 2021 (ASCAAD 2021): architecture in the age of disruptive technologies: transformation and challenges.

The ASCAAD 2021 conference theme is Architecture in the age of disruptive technologies: transformation and challenges. The theme addresses the gradual shift in computational design from prototypical morphogenetic-centered associations in the architectural discourse. This imminent shift of focus is increasingly stirring a debate in the architectural community and is provoking a much needed critical questioning of the role of computation in architecture as a sole embodiment and enactment of technical dimensions, into one that rather deliberately pursues and embraces the humanities as an ultimate aspiration

AI Knowledge Transfer from the University to Society

AI Knowledge Transfer from the University to Society: Applications in High-Impact Sectors brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies that explore the use of Artificial Intelligence in a variety of high-impact sectors to lead innovation and assist in decision-making. Key Features Includes chapters on health and social welfare, transportation, digital economy, energy efficiency and sustainability, agro-industry, and tourism Great diversity of authors, expert in varied sectors, belonging to powerful research groups from the University of Seville with proven experience in the transfer of knowledge to the productive sector and agents attached to the Andalucía TECH Campu