A Planning Model for Cognitive Cities

2019 ◽  
pp. 287-303
Author(s):  
Sarmada Madhulika Kone
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Spatial Cognition ◽  
Performance Monitoring ◽  
Urban System ◽  
Participatory Planning ◽  
Urban Systems ◽  
Rapid Urbanization ◽  
Data Collection And Analysis ◽  
Urban Data

A city is a real-time function with constantly changing variables. Rapid urbanization of the cities and increase in a number of mega cities has made the entire urban management complex. With many parameters involved in it, urban data has started to resemble the characteristics of big data. The nexus between spatial cognition and the frequency of data collection of an urban system explains the role of big data analysis in performance monitoring of the urban systems. Urban data collection and analysis can be possible through participatory planning and participatory citizens. This chapter focuses on understanding the correlation between spatial cognition and participatory planning.

Community-Centered Urban Sensing

2019 ◽  
Vol 8 (4) ◽  
pp. 1-16 ◽  
Author(s):  
Andrew Mondschein ◽  
Zihao Zhang ◽  
Mona El Khafif
Keyword(s):  
Data Collection ◽  
Smart Cities ◽  
Urban Systems ◽  
University Of Virginia ◽  
Planning And Design ◽  
Data Collection And Analysis ◽  
Urban Planning And Design ◽  
Urban Sensing ◽  
The University ◽  
Urban Data

The authors examine the problem of integrating urban sensing into engaged planning. The authors ask whether enhanced urban data and analysis can enhance resident engagement in planning and design, rather than hinder it, even when current urban planning and design practices are dysfunctional. The authors assess the outcomes of a planning and design effort in Charlottesville, Virginia, USA. Community-Centered Urban Sensing is a participatory urban sensing initiative developed by urban planners and designers, architects, landscape architects, and technologists at the University of Virginia to address the need for actionable information on the urban environment through community-engaged urban data collection and analysis. These findings address how technological urbanism moves from data to action, as well as its potential for marginalization. Finally, the authors discuss a conceptualization of smart and engaged planning that accounts for urban dysfunction. The smart cities paradigm should encompass modes and methods that function even when local urban systems are dysfunctional.

scholarly journals Thinking about police data: Analysts’ perceptions of data quality in Canadian policing

2021 ◽  
pp. 0032258X2110214
Author(s):  
Christopher D O’Connor ◽  
John Ng ◽  
Dallas Hill ◽  
Tyler Frederick
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Data Quality ◽  
Research Culture ◽  
Police Services ◽  
Police Data ◽  
Data Collection And Analysis ◽  
Quality Issues

Policing is increasingly being shaped by data collection and analysis. However, we still know little about the quality of the data police services acquire and utilize. Drawing on a survey of analysts from across Canada, this article examines several data collection, analysis, and quality issues. We argue that as we move towards an era of big data policing it is imperative that police services pay more attention to the quality of the data they collect. We conclude by discussing the implications of ignoring data quality issues and the need to develop a more robust research culture in policing.

Regional Ways of Seeing: A Big-Data Approach for Measuring Ancient Visualscapes

2020 ◽  
Vol 8 (2) ◽  
pp. 174-191
Author(s):  
Natalie M. Susmann
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Natural World ◽  
Natural Landscape ◽  
Analysis Methodology ◽  
Data Collection And Analysis ◽  
Geospatial Analyses ◽  
Human Decision ◽  
Topographic Characteristics ◽  
Religious Landscape

AbstractArchaeologists have long acknowledged the significance of mountains in siting Greek cult. Mountains were where the gods preferred to make contact and there people constructed sanctuaries to inspire intervention. Greece is a land full of mountains, but we lack insight on the ancient Greeks’ view—what visible and topographic characteristics made particular mountains ideal places for worship over others, and whether worshiper preferences ever changed. This article describes a data collection and analysis methodology for landscapes where visualscape was a significant factor in situating culturally significant activities. Using a big-data approach, four geospatial analyses are applied to every cultic place in the Peloponnesian regions of the Argolid and Messenia, spanning 2800–146 BC. The fully described methodology combines a number of experiences—looking out, looking toward, and climbing up—and measures how these change through time. The result is an active historic model of Greek religious landscape, describing how individuals moved, saw, and integrated the built and natural world in different ways. Applied elsewhere, and even on nonreligious locales, this is a replicable mode for treating the natural landscape as an artifact of human decision: as a space impacting the siting of meaningful locales through history.

On Building Better Mousetraps and Understanding the Human Condition

2015 ◽  
Vol 659 (1) ◽  
pp. 33-47 ◽  
Author(s):  
Jimmy Lin
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Scientific Reasoning ◽  
Explanatory Power ◽  
Data Use ◽  
Human Condition ◽  
Science And Engineering ◽  
Disruptive Technologies ◽  
The Past ◽  
Data Collection And Analysis

Over the past few years, we have seen the emergence of “big data”: disruptive technologies that have transformed commerce, science, and many aspects of society. Despite the tremendous enthusiasm for big data, there is no shortage of detractors. This article argues that many criticisms stem from a fundamental confusion over goals: whether the desired outcome of big data use is “better science” or “better engineering.” Critics point to the rejection of traditional data collection and analysis methods, confusion between correlation and causation, and an indifference to models with explanatory power. From the perspective of advancing social science, these are valid reservations. I contend, however, that if the end goal of big data use is to engineer computational artifacts that are more effective according to well-defined metrics, then whatever improves those metrics should be exploited without prejudice. Sound scientific reasoning, while helpful, is not necessary to improve engineering. Understanding the distinction between science and engineering resolves many of the apparent controversies surrounding big data and helps to clarify the criteria by which contributions should be assessed.

scholarly journals Enhanced Classifications of Engineered Paved Surfaces for Urban Systems Modeling

2009 ◽  
Vol 13 (5) ◽  
pp. 1-18 ◽  
Author(s):  
Jay Golden ◽  
W. C. Chuang ◽  
W. L. Stefanov
Keyword(s):  
Land Cover ◽  
Energy Demand ◽  
Global Climate ◽  
Urban System ◽  
Detailed Examination ◽  
Urban Systems ◽  
Rapid Urbanization ◽  
Policy Makers ◽  
Ecological Service ◽  
Raster Graphics

Abstract There is a greater need than ever for the ability to accurately model urban system impacts resulting around the planet. Rapid urbanization is transforming landscapes from vegetation to an engineered infrastructure and thus altering land cover and land use. These alterations impact urban and global climate change, energy demand, human health, and ecological service functions. This article presents an overview of a refined land-cover classification protocol that seeks to refine current land-cover classifications of engineered paved surfaces. This new approach provides those who model urban systems and engineer the environment as well as other scientists and policy makers an expanded understanding of how intervention to the system can most effectively be accomplished through enhanced modeling. An object-oriented analysis regime is presented for an industrial park utilizing commercial software in conjunction with multispectral and panchromatic Quickbird satellite imagery. A detailed examination of hot-mix asphalt paved surfaces was undertaken in relation to the materials’ engineered function such as various types of streets, parking, etc. The results were validated using a commercial raster graphics editor and data analysis software as well as on-site inspections. An overall accuracy of 95% was achieved.

scholarly journals A Big Data Platform for heterogeneous data collection and analysis in large-scale data centres

2021 ◽  
Author(s):  
Simone Rossi Tisbeni ◽  
Daniele CESINI ◽  
Barbara Martelli ◽  
Arianna Carbone ◽  
Claudia Cavallaro ◽  
...  
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Large Scale ◽  
Heterogeneous Data ◽  
Large Scale Data ◽  
Data Collection And Analysis ◽  
Data Platform ◽  
Data Centres ◽  
Scale Data

scholarly journals Big data collection and analysis for manufacturing organisations

2017 ◽  
Vol 2 (2) ◽  
pp. 127-139 ◽  
Author(s):  
Pankaj Sharma ◽  
◽  
David Baglee ◽  
Jaime Campos ◽  
Erkki Jantunen ◽  
...  
Keyword(s):  
Big Data ◽  
Data Collection ◽  
Data Collection And Analysis

scholarly journals Improving Food safety in Supply Chain based on Big Data

2018 ◽  
Vol 53 ◽  
pp. 03084
Author(s):  
Gang Liu ◽  
Guang Li ◽  
Rui Yang ◽  
Li Guo
Keyword(s):  
Big Data ◽  
Food Safety ◽  
Data Collection ◽  
Safety Management ◽  
Rapid Development ◽  
Warning System ◽  
Risk Warning ◽  
Data Collection And Analysis ◽  
Data Source ◽  
Food Safety Risk

With the rapid development of big data collection and analysis, these tools are increasingly applied to food safety and quality. Big data can play an important role in improving food safety management. This paper will deeply analyze the food safety risk warning system based on big data management. The research results show that the food safety management system based on big data includes data source, data collection and storage, data analysis and application of analysis results.

scholarly journals URBAN PRIMACY IN URBAN SYSTEM OF DEVELOPING COUNTRIES; ITS CAUSES AND CONSEQUENCES

2016 ◽  
Vol 6 (1) ◽  
pp. 34-45
Author(s):  
Seyed J. Faraji ◽  
◽  
Zhang Qingping ◽  
Saman Valinoori ◽  
Mohamad Komijani ◽  
...  
Keyword(s):  
Developing Countries ◽  
Developing World ◽  
Urban System ◽  
Developed Countries ◽  
Urban Systems ◽  
Rapid Urbanization ◽  
Rural People ◽  
Urban Primacy ◽  
Two Cities ◽  
Different Dimensions

In the current world, cities have become the main arms of the actuator in the movement of social system of human communities. Nevertheless, urban systems in developing countries, despite the vast potentials, are faced with serious problems such as rapid urbanization, constant migration of rural people to cities, and concentration of population and activities in one or two cities, or, in other words, urban macrocephaly. Despite the primacy or dominance of one city in some developed countries, we do not observe clear negative features of urban primacy; on the other hand, although it is not evident in all countries of the developing world, there are evident features of urban systems in most of these countries. This paper aims to identify and understand the formation of the phenomenon of urban primacy in developing countries. The method of this study is descriptive-analytical and is based on document studies and the results of different urban projects in different area of the developing world and it is responding to these questions about the background and causes of the formation of urban primacy in these countries and its consequences of this phenomenon which led this conclusion that this phenomenon should be analyzed from different dimensions of economic, social, cultural, historical, and political and lastly its causes and consequences should be observed with regard to these dimensions.

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