Computers, Power, and Urban Management
Author | : Kenneth L. Kraemer |
Publisher | : |
Total Pages | : 46 |
Release | : 1976 |
Genre | : Local government |
ISBN | : |
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Author | : Kenneth L. Kraemer |
Publisher | : |
Total Pages | : 46 |
Release | : 1976 |
Genre | : Local government |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 536 |
Release | : 1998 |
Genre | : City planning |
ISBN | : |
Papers presented at the Fifth International Conference on Computers in Urban Planning & Urban Management, held at Bombay in 1997.
Author | : 2nd International Conf |
Publisher | : |
Total Pages | : |
Release | : 1991 |
Genre | : |
ISBN | : |
Author | : S. L. Dhingra |
Publisher | : |
Total Pages | : 492 |
Release | : 1998 |
Genre | : |
ISBN | : |
Author | : Kenneth L. Kraemer |
Publisher | : |
Total Pages | : 52 |
Release | : 1977 |
Genre | : Local government |
ISBN | : |
Author | : Anandakumar Haldorai |
Publisher | : Springer Nature |
Total Pages | : 233 |
Release | : 2019-09-19 |
Genre | : Computers |
ISBN | : 3030260135 |
This book presents the most recent challenges and developments in sustainable computing systems with the objective of promoting awareness and best practices for the real world. It aims to present new directions for further research and technology improvements in this important area.
Author | : Shannon Mattern |
Publisher | : Princeton University Press |
Total Pages | : 200 |
Release | : 2021-08-10 |
Genre | : Architecture |
ISBN | : 069122675X |
A bold reassessment of "smart cities" that reveals what is lost when we conceive of our urban spaces as computers Computational models of urbanism—smart cities that use data-driven planning and algorithmic administration—promise to deliver new urban efficiencies and conveniences. Yet these models limit our understanding of what we can know about a city. A City Is Not a Computer reveals how cities encompass myriad forms of local and indigenous intelligences and knowledge institutions, arguing that these resources are a vital supplement and corrective to increasingly prevalent algorithmic models. Shannon Mattern begins by examining the ethical and ontological implications of urban technologies and computational models, discussing how they shape and in many cases profoundly limit our engagement with cities. She looks at the methods and underlying assumptions of data-driven urbanism, and demonstrates how the "city-as-computer" metaphor, which undergirds much of today's urban policy and design, reduces place-based knowledge to information processing. Mattern then imagines how we might sustain institutions and infrastructures that constitute more diverse, open, inclusive urban forms. She shows how the public library functions as a steward of urban intelligence, and describes the scales of upkeep needed to sustain a city's many moving parts, from spinning hard drives to bridge repairs. Incorporating insights from urban studies, data science, and media and information studies, A City Is Not a Computer offers a visionary new approach to urban planning and design.
Author | : Yu Zheng |
Publisher | : MIT Press |
Total Pages | : 633 |
Release | : 2019-02-05 |
Genre | : Computers |
ISBN | : 0262039087 |
An authoritative treatment of urban computing, offering an overview of the field, fundamental techniques, advanced models, and novel applications. Urban computing brings powerful computational techniques to bear on such urban challenges as pollution, energy consumption, and traffic congestion. Using today's large-scale computing infrastructure and data gathered from sensing technologies, urban computing combines computer science with urban planning, transportation, environmental science, sociology, and other areas of urban studies, tackling specific problems with concrete methodologies in a data-centric computing framework. This authoritative treatment of urban computing offers an overview of the field, fundamental techniques, advanced models, and novel applications. Each chapter acts as a tutorial that introduces readers to an important aspect of urban computing, with references to relevant research. The book outlines key concepts, sources of data, and typical applications; describes four paradigms of urban sensing in sensor-centric and human-centric categories; introduces data management for spatial and spatio-temporal data, from basic indexing and retrieval algorithms to cloud computing platforms; and covers beginning and advanced topics in mining knowledge from urban big data, beginning with fundamental data mining algorithms and progressing to advanced machine learning techniques. Urban Computing provides students, researchers, and application developers with an essential handbook to an evolving interdisciplinary field.
Author | : |
Publisher | : |
Total Pages | : |
Release | : 1995 |
Genre | : |
ISBN | : |
Author | : Shih-Kung Lai |
Publisher | : Routledge |
Total Pages | : 310 |
Release | : 2016-02-17 |
Genre | : Political Science |
ISBN | : 1317003993 |
In recent years, there has been a new understanding of how cities evolve and function, which reflects the emergent paradigm of complexity. The crux of this view is that cities are created by differentiated actors involved in individual, small-scale projects interacting in a complex way in the urban development process. This 'bottom up' approach to urban modeling not only transforms our understanding of cities, but also improves our capabilities of harnessing the urban development process. For example, we used to think that plans control urban development in an aggregate, holistic way, but what actually happens is that plans only affect differentiated actors in seeking their goals through information. In other words, plans and regulations set restrictions or incentives of individual behaviour in the urban development process through imposing rights, information, and prices, and the analysis of the effects of plans and regulations must take into account the complex urban dynamics at a disaggregate level of the urban development process. Computer simulations provide a rigorous, promising analytic tool that serves as a supplement to the traditional, mathematical approach to depicting complex urban dynamics. Based on the emergent paradigm of complexity, the book provides an innovative set of arguments about how we can gain a better understanding of how cities emerge and function through computer simulations, and how plans affect the evolution of complex urban systems in a way distinct from what we used to think they should. Empirical case studies focus on the development of a compact urban hierarchy in Taiwan, China, and the USA, but derive more generalizable principles and relationships among cities, complexity, and planning.