Data Visualization and Optimization Methods for Placing Entities Within Urban Areas PDF Download

Author: Pranav Ramkrishnan
Publisher:
ISBN:
Category :
Languages : en
Pages : 83

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Book Description
In the first part of this thesis, I present a portfolio of web-based visualizations that illustrate different data-driven ideas about urban environments. These visualizations are intended to provide the user with unique perspectives about cities and the way they function. I detail the conceptualization, data aspects, and implementation of each of these map visualizations. In the second part of this thesis, I describe an interesting optimization problem of placing entities such as trees or shops within a city. The location of these placements needs to conform to certain constraints enforced by spatial distributions of variables such as population, income, travel times, etc. I then present a heuristic-based optimization strategy, that combines some aspects of Gradient-ascent and Simulated Annealing, to address this problem and attempt to generalize this approach to finding the optimal placements of any entity within a given city. I present some initial results of my optimization algorithm and discuss ways in which it can be further improved.

Author: Wesam Manassra
Publisher:
ISBN:
Category :
Languages : en
Pages : 96

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Book Description
This thesis deals with the problem of enhancing the understanding of urban information through interactive data-driven visualization and planning tools. In the first part of the thesis, I present a series of web-based data visualizations through maps to provide users with thorough understanding of their living environments, and highlight patterns and trends to raise their awareness of how cities evolve over time. In the second part, I focus on tools that support the planning of interventions on the urban level. Specifically, I tackle the problem of selecting the most optimal locations for placing new entities within the city using a modified k-means algorithm.

Author: Alex D. Singleton
Publisher: SAGE
ISBN: 1526418592
Category : Social Science
Languages : en
Pages : 222

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Book Description
The economic and political situation of cities has shifted in recent years in light of rapid growth amidst infrastructure decline, the suburbanization of poverty and inner city revitalization. At the same time, the way that data are used to understand urban systems has changed dramatically. Urban Analytics offers a field-defining look at the challenges and opportunities of using new and emerging data to study contemporary and future cities through methods including GIS, Remote Sensing, Big Data and Geodemographics. Written in an accessible style and packed with illustrations and interviews from key urban analysts, this is a groundbreaking new textbook for students of urban planning, urban design, geography, and the information sciences.

Author: Asa J. Oines
Publisher:
ISBN:
Category :
Languages : en
Pages : 71

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Book Description
In this thesis we describe a number of data visualization and optimization techniques for urban planning. Many of these techniques originate from contributions to the Social Computing Group's "You Are Here" project, which publishes maps intended to be viewed as a blend between art and urban planning tools. In particular these maps and this thesis focus on the topics of education and transportation. Eventually we hope to evolve these maps into social technologies that make it easier for communities to create the change they seek.

Author: Alberto Ochoa
Publisher: CRC Press
ISBN: 1000462234
Category : Business & Economics
Languages : en
Pages : 283

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Book Description
This book is a compilation of chapters on scientific work in novel and innovative reference that compiles interdisciplinary perspectives about diverse issues related with Industry 4.0 and smart cities in different ways, i.e., intelligent optimisation, industrial applications in the real world, social applications and technology applications with a different perspective about existing solutions. Chapters review research in improving optimisation in smart manufacturing, logistics of products and services, optimisation of different elements in the time and location, social applications to enjoy our life of a better way and applications that increase daily life quality. This book covers applications of Industry 4.0; applications to improve the life of the citizens in a smart city; and finally, welfare of the working-age population and their expectations in their jobs correlated with the welfare-work relationship.

Author: Kohei Arai
Publisher: Springer Nature
ISBN: 303116072X
Category : Technology & Engineering
Languages : en
Pages : 832

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Book Description
This book is a remarkable collection of chapters covering a wide domain of topics related to artificial intelligence and its applications to the real world. The conference attracted a total of 494 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-reviewed process. Of the total submissions, 176 submissions have been selected to be included in these proceedings. It is difficult to imagine how artificial intelligence has become an inseparable part of our life. From mobile phones, smart watches, washing machines to smart homes, smart cars, and smart industries, artificial intelligence has helped to revolutionize the whole globe. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. Distinguished researchers have made valuable studies to understand the various bottlenecks existing in different arenas and how they can be overcome with the use of intelligent systems. This book also provides new directions and dimensions of future research work. We hope that readers find the volume interesting and valuable.

Author: Simon Elias Bibri
Publisher: Springer
ISBN: 3030173127
Category : Political Science
Languages : en
Pages : 337

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Book Description
We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.

Author: Kimberly Etingoff
Publisher: CRC Press
ISBN: 177188486X
Category : Nature
Languages : en
Pages : 328

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Book Description
This compendium volume, Urban Land Use: Community-Based Planning, covers a range of land use planning and community engagement issues. Part I explores the connections between land use decisions and consequences for urban residents, particularly in the areas of health and health equity. The chapters in Part II provide a closer look at community land use planning practice in several case studies. Part III offers several practical and innovative tools for integrating community decisions into land use planning.

Author: Sergio J. Rey
Publisher: Edward Elgar Publishing
ISBN: 1789903947
Category : Technology & Engineering
Languages : en
Pages : 589

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Book Description
Providing an authoritative assessment of the current landscape of spatial analysis in the social sciences, this cutting-edge Handbook covers the full range of standard and emerging methods across the social science domain areas in which these methods are typically applied. Accessible and comprehensive, it expertly answers the key questions regarding the dynamic intersection of spatial analysis and the social sciences.

Author: Bo Hong
Publisher: Frontiers Media SA
ISBN: 2832548768
Category : Science
Languages : en
Pages : 130

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Book Description
Climate change and rapid urbanization have significant impacts on biodiversity and ecosystem functions and services. Nature-based solutions (NBS) is an action to work with and enhance nature to solve social challenges, and NBS is an "umbrella concept" for other mature nature-based approaches. Blue-green spaces (BGS) can provide a wide range of ecosystem services, including mitigation of urban heat island effects, reduction of flooding, mitigation of air pollution, and provision of recreational spaces, thereby promoting physical and mental health. Hence, NBSs can serve as cost-effective climate mitigation and adaptation tool that contribute to additional co-benefits for ecosystem health and human well-being. Environmentalists, epidemiologists, ecologists, urban planners, and policymakers have paid more attention to NBSs for urban resilience and human health. In this Research Topic, we hope to discuss these topics: (1) ecological exposure and health benefits; (2) climate adaptation and human health promotion possibilities by NBSs; (3) methodological and theoretical approaches as well as technologies of NBSs corresponding to urban resilience; (4) underlying pathways and potential mechanisms of NBSs in improving human health; and (5) policies and management for planning and design of the successful implementation of NBSs in relation to urban resilience and human health. This Research Topic focuses on, but is not restricted to the following issues: • Nature-based interventions for climate adaptation. • Ecological exposure and physical and psychological health outcomes. • Climate adaption environmental policies and management. • Theoretical and case-based studies on climate mitigation and adaption by NBSs • Ecosystem service perspective on promoting urban resilience. This Research Topic welcomes the following types of manuscripts: Original Research, Hypothesis and Theory, Review, and Perspective.