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| Title | : | Big Data for Urban Sustainability: A Human-Centered Perspective |
| Author | : | Stephen Jia Wang |
| Language | : | en |
| Rating | : | 4.90 out of 5 stars |
| Type | : | PDF, ePub, Kindle |
| Uploaded | : | Apr 15, 2021 |
| Book code | : | 7839c |
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While there is no canonical or definitive definition of big data in the context of smart sustainable cities, the term can be used to describe a colossal amount of urban data, typically to the extent that their manipulation, analysis, management, and communication present significant computational, analytical, logistical, and coordinative challenges.
Data, modeling, and simulations are critical to planning for and maintaining sustainable communities.
Big data can also enable environmental sustainability by giving the world the opportunity to better understand its demand for food, energy and water. This is even possible when the population increases and climate change reduces these vital resources each and every year.
Big data has the power to transform how large businesses – the ones with biggest environmental impacts, but also access to large volumes of information – can take action on sustainability.
Gists in collaboration with ict experts to exploit it for improving urban sustainability. Indeed, big data provide fascinating opportunities to change how things can be done in cities in terms of operation, management, and planning from a sustainability perspective. Unsurprisingly, big data have become a new catchphrase in the ambit of smart.
(2015) “big data for urban sustainability: integrating personal mobility dynamics in environmental assessments.
Sep 4, 2018 brink asia: what role do geospatial and data analytics have in a city? could you provide us with some examples of how analytics help in urban.
However, translating big data into understandings of human activities and their data science with urban sustainability issues, moving from data to information,.
Jul 15, 2020 the major research topics of big data-based uess research include urban mobility, urban land use and planning, environmental sustainability,.
Big data may very well be able to play a vital role in environmental sustainability. In the beginning, this technology and information was only used by big businesses. It is now believed that big data could be immensely beneficial for helping the world assess environmental risks.
Data in urban energy reductions, sustainable urban transport, and improved urban health and well-being. 8 looks to the future (the year 2050) and, assuming that adequate responses are made to the challenges raised in chap. 4, considers how big data could contribute to urban sustainability in a carbon- constrained world.
Big data has brought an uptick in organizations sharing data for sustainable goals. Organizations that used to operate in their own silos are combining their resources to make an impact together.
Cham springer international technopolis, oxford internet institute and centre for european policy studies ( 2015 ) data for policy: a study of big data and other innovative data-driven approaches.
Big urban data has the most value for the study of cities when it allows measurement of the previously opaque, or when it can be coupled with exogenous shocks to people or place. We describe a number of new urban data sources and illustrate how they can be used to improve the study and function of cities.
Dec 11, 2017 populations are growing at an unprecedented pace, and city planners are now using big data to help maximize city space and resources.
Saig big data sia gd to realise the potential of mobile big data, there is a need for all stakeholders in the ecosystem, including governments, mobile operators, development agencies and ngos, and donors, to implement sustainable business models for big data for social good (bd4sg) activities.
Big data provide new and powerful ways of studying and improving coupled urban environmental, social, and economic systems to achieve urban sustainability. However, the term big data has been defined variably, and its urban applications have so far been sporadic in terms of research topic and location.
Global pulse promotes awareness of the opportunities big data presents for sustainable development and humanitarian.
As more and more aspects of contemporary urban society are tracked and quantified, the emerging cloud of so-called ‘big data’ is widely considered to represent a fundamental change in the way we interact with and understand cities.
The data for this research were gathered via an online survey questionnaire and were analyzed through structural equation modeling on a sample of 4,800 respondents. Keywords: big data analytics; urban; sustainability; smart governance.
Geospatial big data for urban green space quality assessments. A comprehensive literature review was conducted to explore the use of geospatial big data to assist in quality assessments of urban green space. The results include a holistic indicator framework called the urban green classification index.
Urban sustainability analytics: harnessing big data for smart city planning and design.
Research output: book/report › book › research › peer-review.
Advance data-driven urban sustainability science in the future; and • identify an agenda of urban sustainability research and practice needs and opportunities that partnerships to use big data, modeling, and simulation can help address.
Product information this book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions for urban environmental challenges. It covers the technologies, potential, and possible and impact of big data on energy efficiency and the urban environment.
Big data and its applications have been using to solve many problems in various fields including the environmental management field during the past years. On a global perspective, the aqua monitor is a new web app that allows you to observe how water systems change over time.
Therefore, vgi data and geosocial networking data will pave the way for a better understanding of some key issues or new issues in urban studies and environmental sciences. Compared to traditional geospatial data, geospatial big data require different data processing and analysis approaches.
Sustainable development and modern management - february 17, 2021 the impact of a small community of change-makers - february 10, 2021 reflections of a 2020 young global changer - december 2, 2020.
Big data analytics offer intriguing solutions that can guide companies’ sustainability strategies. How data analytics can shape strategy data on esg issues come from many sources: news, government regulations, rankings and awards, social media, and companies’ own reports.
About the authors this book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions for urban environmental challenges. It covers the technologies, potential, and possible and impact of big data on energy efficiency and the urban environment.
Sep 13, 2019 eduardo quiñones from the barcelona supercomputing center explains how the european project class conceives a safer and smarter.
2 artificial intelligence and machine learning the project will be partially funded by the projects that the team partners have been secured.
Introduction this book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions for urban environmental challenges. It covers the technologies, potential, and possible and impact of big data on energy efficiency and the urban environment.
This book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions for urban environmental challenges. It covers the technologies, potential, and possible and impact of big data on energy efficiency and the urban environment.
A great deal of the most insightful real-time digital data is held by private sector companies. The public sector, therefore, cannot fully exploit big data without leadership and partnership from the private sector. What we need is action that goes beyond corporate social responsibility.
Considering the challenges of existing smart cities, in this work we propose a smart city architecture embedded with big data analytics (bda).
Big data for urban sustainability a human-centered perspective.
Apr 15, 2020 in spite of these developments, it's been a long tradition of urban planners to opt for visual methods to model cities.
The rise of urban big data is a necessary condition for enhancing urban sustainability. Such reduced costs of access to information mean that cities begin to approximate the neo- classical economist’s textbook ideal of “perfect information”.
The analysis of big data is deemed to define a new era in urban research, planning and policy. Real-time data mining and pattern detection in high- frequency.
Nov 7, 2019 in concert with cornell tech, aap is developing a new york city–based specialization in urban technology, set to begin in fall 2020.
Big data for urban sustainability: integrating personal mobility dynamics in environmental assessments by hua cai a dissertation submitted in partial fulfillment of the requirements for the degree of doctor of philosophy (natural resources and environment and environmental engineering) in the university of michigan 2015 doctoral.
This research topic invites researchers in the fields of urban analytics, urban big data, urban sensing, geospatial data science, and urban ecology to provide.
2020年7月15日 the future of humanity depends increasingly on the performance of cities. Big data provide new and powerful ways of studying and improving.
Big data is also enabling environmental sustainability by helping us to understand the demand for energy and food as the world population increases and climate change reduces these resources by every passing year.
These heterogeneous “urban big data”, including, but not limiting to, vehicle trajectories, traffic volume and speed records, crime and accident reports, and weather/air quality observations, contain rich information about a city and can enable intelligent solutions to various urban challenges, such as traffic management, public safety, environmental protection, and public health.
Using big data properly harvested, organized, and applied data is a trustworthy tool that allows a company to demonstrate that it is responding to genuine needs through their investments in sustainable efforts.
Urban big data enables a highly granular, longitudinal, whole system understanding of a city system or service. For example, it is possible to determine patterns of travel or pollution across times of the day, days of the week, and seasons, and to do this for all nodes on the network (for example, junctions, bus stops, sensor locations).
We aim to better equip attendees with an understanding of the field, methods, opportunities and challenges of big data and artificial intelligence (ai).
Dec 10, 2013 i define big data with respect to its size but pay particular attention to the fact that the data i am referring to is urban data, that is, data for cities.
Sustainability commentary urban big data and sustainable development goals: challenges and opportunities ali kharrazi 1,2,*, hua qin 3 and yi zhang 4,5 1 graduate school of public policy, the university of tokyo, tokyo 113-0033, japan.
In recent years, with the rapid development of urban infrastructures and smart devices, huge amounts of big data have been collected. These heterogeneous “urban big data”, including, but not limiting to, vehicle trajectories, traffic volume and speed records, crime and accident reports, and weather/air quality observations, contain rich information about a city and can enable intelligent.
Apr 15, 2020 big data breaks silos, creates direct bridges between policy-makers and citizens and supports real-time views of a particular city.
Using big data to measure environmental inclusivity in cities lower-income urban communities bear the brunt of environmental burdens, even in wealthy green cities around the world.
Oct 10, 2016 the issue of built environment on 'big data and the city' contains some revealing prospects of how these new streams of data that are largely.
Urban big data and sustainable development goals: challenges and opportunities.
Big data, urban science and the search for new ways of improving life in the city imagine you had all the data you could possibly want about a city. I’m talking about real time readouts of all inputs and output, along with documentation of public satisfaction levels with all aspects of city life.
Urban economic and transportation; sustainability and smart cities; land markets and policies; real estate technologies and big data menu toggle. Big data analytics; proptech and smart cities; applications of machine learning and artificial intelligence (ai) technologies; glp-ireus research.
Jan 22, 2021 creating a more liveable environment is a priority for many cities worldwide. In terms of urban mobility, this presents numerous challenges.
Big data is fueled by the power of transparency and can help to identify sustainability leaders and those lagging behind, encouraging the setting of sustainability targets across corporate and sovereign landscapes.
Sustainable urban transport planning using big data from mobile phones in the past decades, there has been rapid urbanization as more and more people migrate into cities. The world health organization (who) estimates that by 2017, a majority of people will be living in urban areas.
While building, it leveraged big data, or 'smart' data, to reduce vibrations and noise, monitor cultural.
It also cites potential opportunities for big data analytics to help developing nations achieve sustainable urban growth, while reducing the economic differential with high-income countries.
Big data could be crucial in developing sustainable cities, but it must applied strategically and ethically to avoid biases and ensure the inclusion of all citizens.
Data driven, fact and evidence based, open data, big data, standardising data.
(ghose and johnson, 2020) an integrated urban platform constitutes the determining software underpinning for smart, sustainable, and resilient built-up planning, management, performance, and maintenance, while managing and inspecting significant volumes of disparate city data sets.
This major paper presents research on the use of big data for urban planning and smart cities in the global south.
Big data and urban sensors will drive the development of smart cities and improve the lives of most people in the coming years, former maryland governor martin o’malley told a conference on centennial campus on tuesday.
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