Saeed Banihashemi – författare

This book examines the use of big data in regenerative urban environment and how data helps in functional planning and design solutions.This book is one of the first endeavors to present the data-driven methods for regenerative built environments and integrate it with the novel design solutions. It looks at four specific areas in which data is used – urban land use, transportation and traffic, environmental concerns and social issues – and draws on the theoretical literature concerning regenerative built environments to explain how the power of big data can achieve the systematic integration of urban design solutions. It then applies an in-depth case study method on Asian metropolises including Beijing and Tehran to bring the developed innovation into a research-led practical context.This book is a useful reference for anyone interested in driving sustainable regeneration of our urban environments through big data-centric design solutions.

This book examines the use of big data in regenerative urban environment and how data helps in functional planning and design solutions.This book is one of the first endeavors to present the data-driven methods for regenerative built environments and integrate it with the novel design solutions. It looks at four specific areas in which data is used – urban land use, transportation and traffic, environmental concerns and social issues – and draws on the theoretical literature concerning regenerative built environments to explain how the power of big data can achieve the systematic integration of urban design solutions. It then applies an in-depth case study method on Asian metropolises including Beijing and Tehran to bring the developed innovation into a research-led practical context.This book is a useful reference for anyone interested in driving sustainable regeneration of our urban environments through big data-centric design solutions.

This research book aims to conceptualise the scale and spectrum of Building Information Modelling (BIM) and Artificial Intelligence (AI) approaches in energy efficient building design and to develop its functional solutions with a focus on four crucial aspects of building envelop, building layout, occupant behaviour and heating, ventilation and air-conditioning (HVAC) systems. Drawn from theoretical development on the sustainability, informatics and optimisation paradigms in built environment, the energy efficient building design will be marked through the power of data and BIM-intelligent agents during the design phase. It will be further developed via smart derivatives to reach a harmony in the systematic integration of energy efficient building design solutions, a gap that is missed in the extant literature and that this book aims to fill. This approach will inform a vision for future and provide a framework to shape and respond to our built environment and how it transforms the way we design and build. By considering the balance of BIM, AI and energy efficient outcomes, the future development of buildings will be regenerated in a direction that is sustainable in the long run. This book is essential reading for those in the AEC industry as well as computer scientists.

This research book aims to conceptualise the scale and spectrum of Building Information Modelling (BIM) and Artificial Intelligence (AI) approaches in energy efficient building design and to develop its functional solutions with a focus on four crucial aspects of building envelop, building layout, occupant behaviour and heating, ventilation and air-conditioning (HVAC) systems. Drawn from theoretical development on the sustainability, informatics and optimisation paradigms in built environment, the energy efficient building design will be marked through the power of data and BIM-intelligent agents during the design phase. It will be further developed via smart derivatives to reach a harmony in the systematic integration of energy efficient building design solutions, a gap that is missed in the extant literature and that this book aims to fill. This approach will inform a vision for future and provide a framework to shape and respond to our built environment and how it transforms the way we design and build. By considering the balance of BIM, AI and energy efficient outcomes, the future development of buildings will be regenerated in a direction that is sustainable in the long run. This book is essential reading for those in the AEC industry as well as computer scientists.

This book aims to conceptualise the implementation of building information modelling (BIM) in the workplace health and safety (WHS) management of construction projects to reduce occupational accidents. The safety performance of the construction industry has always been a concern across the globe, and this devastating reputation has drawn the concern of many nations. The potential functions of BIM can drastically alter the WHS practices of the construction industry. BIM facilitates WHS information exchange and management and supports better collaboration and project planning through virtual visualisation of the construction WHS management process. Despite an increasing interest in BIM, a successful mechanism for employing BIM in construction WHS management is absent. Therefore, this book aims to fill this dearth by presenting a model for the integration of such innovative interventions with the current industry practices in a practical manner through the proper identification of effective areas and evaluation of their impacts on the key criteria of construction projects and organisations. This approach will foster the implementation of BIM in the current state of WHS management in the industry and can potentially reduce occupational accidents on construction sites.This book is essential reading for researchers and professionals interested in how BIM technology can improve health and safety on construction projects. It is intended for engineers, project managers, construction managers, safety officers and safety managers.