European Parliament Library

Data-centric regenerative built environment, big data for sustainable regeneration, Saeed Banihashemi and Sepideh Zarepour Sohi

Label
Data-centric regenerative built environment, big data for sustainable regeneration, Saeed Banihashemi and Sepideh Zarepour Sohi
Language
eng
Bibliography note
Includes bibliographical references and index
Index
index present
Literary Form
non fiction
Main title
Data-centric regenerative built environment
Nature of contents
dictionariesbibliography
Oclc number
1293450029
Responsibility statement
Saeed Banihashemi and Sepideh Zarepour Sohi
Series statement
Routledge Research in Sustainable Planning and Development in Asia
Sub title
big data for sustainable regeneration
Summary
"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"--, Provided by publisher
Table Of Contents
Cover -- Half Title -- Series -- Title -- Copyright -- Dedication -- Contents -- List of Figures -- List of Tables -- Preface -- List of Abbreviations -- 1 Classics of Data-Centric Regenerative Built Environment -- Introduction -- Urban Development and Regeneration -- Big Data Technology -- Tools and Sources of Big Data for Urban Regeneration -- Volunteered Data -- Location-Based Social Media Data -- Volunteered Geographic Information (VGI) -- Automatic -- GPS (Global Positioning System) -- SCD (Smart Card Data) -- MPD (Mobile Phone Data) -- Sensors and Objects (Fixed Sensors) -- Closed-Circuit Television (CCTV) -- Wireless Sensor Networks (WSNs) -- Monitored Data -- Administrative Data (Governmental Data) -- Private Sector Data -- Concepts and Classics of Data-Centric Regenerative Built Environment Framework -- References -- 2 Big Data in Urban Land Use Regeneration -- Urban Land Use and Its Significance in Sustainable Urban Planning -- Current Situation of Spatial Patterns of Urban Land Use -- Data-Centric Land Use Patterns -- Taxi GPS Trajectories Data -- Geo-Tagged Social Media -- Mobile Phone Data and Call Detail Records -- Summary -- Urban Land Use Regeneration of Beijing -- Background -- Big Data Sources -- Social Media Data -- Open Street Map Road Network -- Digital Elevation Model -- Methodology and Process of Data Analysis -- Data Analysis and Results -- Proposing the Areas -- Conclusion -- References -- 3 Big Data in Urban Traffic and Transportation -- Traffic and Transportation Structure in Urban Planning -- Smart Traffic Control and Monitoring Through Big Data -- Background -- GPS Trajectories for Traffic Monitoring and Congestion Detection -- Social Media Data for Traffic Monitoring -- Summary -- Big Data Application in Transportation Behaviour and Patterns -- Background -- Smart Card Data for Transportation BehaviourTaxi GPS Trajectories for Transportation Behaviour -- Summary -- Data-Driven Traffic and Transportation Analysis of Beijing -- Background -- Big Data Sources -- Taxi GPS Trajectories -- Methodology and Process of Data Analysis -- Data Analysis and Results -- Holistic Analysis -- Space-Time Cube Analysis -- Hotspot and Cold Spot Analysis -- Design Solutions -- Conclusion -- References -- 4 Big Data and Urban Environmental Sustainability -- Urban Environmental Issues and Impacts on Planning Approach -- Big Data for Air Pollution Control -- Background -- Fixed Stations -- Wireless Sensor Network (WSN) -- Geo-Tagged Social Media -- Summary -- Data-Driven Noise Management Principles -- Background -- Mobile Phone Application for Noise Monitoring -- WSNs for Noise Monitoring -- Summary -- Tehran's Urban Environmental Regeneration via Big Data Technologies -- Methodology and Process of Data Analysis -- Data Analysis and Results -- Region 10 for the Design Intervention -- Conclusion -- References -- 5 Big Data and Urban Social Sustainability -- Social Sustainability in Urban Planning and Design -- Walkability and Big Data -- Walkability and GPS Trajectories -- Urban Public Space and Big Data -- Urban Public Space and Social Media Data -- Urban Vibrancy and Big Data -- The Role of Social Media Data in Analyzing Urban Vibrancy -- Data-Centric Social Sustainability of Tehran -- Methodology and Process of Data Analysis -- Data Sources -- Data Processing and Analysis -- Data Analysis and Results -- Design Principles for Regeneration of Urban Public Space -- Conclusion -- References -- 6 Data-Focused Visionary Leap for the Future Built Environment -- Data-Integrated Pathways Towards Regenerative Urban Environments -- Case Studies and Knowledge Factors -- Beijing's Urban Land Use Regeneration -- Beijing's Traffic and Transportation RegenerationTehran's Urban Air Pollution Regeneration -- Tehran's Urban Public Space Regeneration -- Challenges, Implications and Visions -- Challenges -- Implications -- Visions -- Index
Classification
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