scholarly journals Visualizing Conflict: Possibilities for Urban Research

2017 ◽  
Vol 2 (1) ◽  
pp. 100-107
Author(s):  
Juan Francisco Saldarriaga ◽  
Laura Kurgan ◽  
Dare Brawley

The Center for Spatial Research (CSR) is undertaking a multiyear project investigating what we have termed Conflict Urbanism. The term designates not simply the conflicts that take place in cities, but also conflict as a structuring principle of cities intrinsically, as a way of inhabiting and creating urban space. The increasing urbanization of warfare and the policing and surveillance of everyday life are examples of the term (Graham, 2010; Misselwitz & Rieniets, 2006; Weizman, 2014), but conflict is not limited to war and violence. Cities are not only destroyed but also built through conflict. They have long been arenas of friction, difference, and dissidence, and their irreducibly conflictual character manifests itself in everything from neighborhood borders, to differences of opinion and status, to ordinary encounters on the street. One major way in which CSR undertakes research is through interrogating the world of ‘big data.’ This includes analyzing newly accessible troves of ‘urban data,’ working to open up new areas of research and inquiry, as well as focusing on data literacy as an essential part of communicating with these new forms of urban information. In what follows we discuss two projects currently under way at CSR that use mapping and data visualization to explore and analyze Conflict Urbanism in two different contexts: the city of Aleppo, and the nation of Colombia.

Transfers ◽  
2014 ◽  
Vol 4 (3) ◽  
pp. 117-121
Author(s):  
Carlo Ratti ◽  
Matthew Claudel

The world is urbanizing at an unprecedented rate, and its cities are transformed by technology and distributed computing. With every photograph, Twitter post, public transit ride, and credit card swipe, we leave digital traces in physical space. The enormous quantity of information, or Urban Big Data, that humanity generates each day is beginning to off er new possibilities for research, design, and systems optimization on the city scale, but the first step toward our urban future is finding new ways of understanding and visualizing Big Data—revealing invisible dimensions of the city.


2018 ◽  
Vol 42 (42) ◽  
pp. 213-225 ◽  
Author(s):  
Jakub Zasina

Abstract The age of big data opens new opportunities for urban research. As millions of users have been creating and transmitting visual representations of cityscapes (e.g., photos taken with smartphones), it is crucial to understand features of the online crowd-sourced images of cities and their relations with their offine archetypes. However, it seems that photos posted by users of social networking sites remain understudied and their informative potential has not been fully exploited yet. The aim of the conducted research was to examine and comprehend the nature of the Instagram image of the city. The paper presents the results of investigating 1867 Instagram photos featuring outdoor city views taken in Lodz, Poland in September 2015. The posted photos were classified by their components and attributes. The study revealed that Instagram content does not reflect the urban space in general. It rather selects geographies and subjects presenting aestheticized and picturesque places and objects. Nevertheless, the new components of cityscapes seem to be noteworthy for Instagram users. Finally, the paper argues that mapping Instagram content without prior and careful examination of the local context may lead to biased conclusions.


2017 ◽  
Vol 4 (1) ◽  
pp. 205395171666512 ◽  
Author(s):  
Taylor Shelton

This paper explores the variety of ways that emerging sources of (big) data are being used to re-conceptualize the city, and how these understandings of what the urban is shapes the design of interventions into it. Drawing on work on the performativity of economics, this paper uses two vignettes of the ‘new urban science’ and municipal vacant property mapping in order to argue that the mobilization of Big Data in the urban context doesn’t necessarily produce a single, greater understanding of the city as it actually is, but rather a highly variegated series of essentialized understandings of the city that render it knowable, governable and intervene-able. Through the construction of new, data-driven urban geographical imaginaries, these projects have opened up the space for urban interventions that work to depoliticize urban injustices and valorize new kinds of technical expertise as the means of going about solving these problems, opening up new possibilities for a remaking of urban space in the image of these sociotechnical paradigms. Ultimately, this paper argues that despite the importance of Big Data, as both a discourse and practice, to emerging forms of urban research and management, there is no singular or universal understanding of the urban that is promoted or developed through the application of these new sources of data, which in turn opens up meaningful possibilities for developing alternative uses of Big Data for understanding and intervening in the city in more emancipatory ways.


2007 ◽  
Vol 41 (3) ◽  
pp. 515-544 ◽  
Author(s):  
LAURENT GAYER

Karachi is a city of migrants and an important commercial hub, which provides Pakistan with a window on the world. But Karachi is also a deeply fragmented city, plagued by an acute urban crisis that takes roots in the failure of the development plans that successive Pakistani governments have delegated to foreign experts. The transnationalisation of the Afghan jihad, in the 1980s, also fuelled social and ethnic antagonisms in the city and contributed to the proliferation of violent entrepreneurs and ethnic parties. Both criminal elements and ethnic activists contributed to the ever-increasing fragmentation of urban space in the city, and to the multiplication of ethnic enclaves controlled by private militias. This extreme fragmentation of the city has benefited local jihadis and foreign terrorists who have taken shelter here since the fall of the Taliban regime in Afghanistan. However, Karachi will never be a “sanctuary” for jihadi militants, due to the hostility of local ethnic parties, whose activists see themselves as enlightened secularists at war with the most retrograde elements of their society and their foreign allies.


Author(s):  
Nirmit Singhal ◽  
Amita Goel, ◽  
Nidhi Sengar ◽  
Vasudha Bahl

The world generated 52 times the amount of data in 2010 and 76 times the number of information sources in 2022. The ability to use this data creates enormous opportunities, and in order to make these opportunities a reality, people must use data to solve problems. Unfortunately, in the midst of a global pandemic, when people all over the world seek reliable, trustworthy information about COVID-19 (Coronavirus). Tableau plays a key role in this scenario because it is an extremely powerful tool for quickly visualizing large amounts of data. It has a simple drag-and-drop interface. Beautiful infographics are simple to create and take little time. Tableau works with a wide variety of data sources. COVID-19 (Coronavirus)analytics with Tableau will allow you to create dashboards that will assist you. Tableau is a tool that deals with big data analytics and generates output in a visualization technique, making it more understandable and presentable. Data blending, real-time reporting, and data collaboration are one of its features. Ultimately, this paper provides a clear picture of the growing COVID19 (Coronavirus) data and the tools that can assist more effectively, accurately, and efficiently. Keywords: Data Visualization, Tableau, Data Analysis, Covid-19 analysis, Covid-19 data


2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Jun Zhang ◽  
Xin Sui ◽  
Xiong He

Data mining and simulation of the Internet of things (IOT) have been applied more and more widely in the rapidly developing urban research discipline. Urban spatial structure is an important field that needs to be explored in the sustainable urban development, while data mining is relatively rare in the research of urban spatial structure. In this study, 705,747 POI (Point of Interest) were used to conduct simulation analysis of western cities in China by mining the data of online maps. Through kernel density analysis and spatial correlation index, the distribution and aggregation characteristics of different types of POI data in urban space were analyzed and the spatial analysis and correlation characteristics among different functional centers of the city were obtained. The spatial structure of the city is characterized by “multicenters and multigroups”, and the distribution of multicenters is also shown in cities with different functional types. The development degree of different urban centers varies significantly, but most of them are still in their infancy. Data mining of Internet of things (IOT) has good adaptability in city simulation and will play an important role in urban research in the future.


In 2015, one hundred years passed since Robert Park penned his seminal article “The City: Suggestions for the investigation of human behaviour in the city environment” in the American Journal of Sociology. It provided an agenda for the Chicago school of urban sociology, which came to shape urban research for decades to come. Since 1915 much has changed, both in the urban world itself and in the urban research that reflects on those transformations. In today’s world of global cities, cities around the world have undergone dramatic development, and nowhere as dramatic as in China. In the world of urban research, Park’s human ecology approach has lost the appeal that it once had. Against this background, in this book specialists on urban China reflect on the relevance of Park’s article on “The City” – for cities in China, for urban research, and for questions about studying the social life of the city. The aim of the book is to take Park’s article as a point of departure for critical reflection on both the research on urban China and on the issues that Chinese cities face. The book offers readers a timely respite from the eruption of urban China research, to reflect on what the city in China contributes to urban studies more generally. Despite the shared starting point, the contributors represent a range of perspectives that would disrupt any notion of monolithic “Chinese school” while also pointing the way towards recurrent challenges, topics and approaches relevant for a contemporary urbanism.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Carlos Lemonde ◽  
Elisabete Arsenio ◽  
Rui Henriques

AbstractWorldwide cities are establishing efforts to collect urban traffic data from various modes and sources. Integrating traffic data, together with their situational context, offers more comprehensive views on the ongoing mobility changes and supports enhanced management decisions accordingly. Hence, cities are becoming sensorized and heterogeneous sources of urban data are being consolidated with the aim of monitoring multimodal traffic patterns, encompassing all major transport modes—road, railway, inland waterway—, and active transport modes such as walking and cycling. The research reported in this paper aims at bridging the existing literature gap on the integrative analysis of multimodal traffic data and its situational urban context. The reported work is anchored on the major findings and contributions from the research and innovation project Integrative Learning from Urban Data and Situational Context for City Mobility Optimization (ILU), a multi-disciplinary project on the field of artificial intelligence applied to urban mobility, joining the Lisbon city Council, public carriers, and national research institutes. The manuscript is focused on the context-aware analysis of multimodal traffic data with a focus on public transportation, offering four major contributions. First, it provides a structured view on the scientific and technical challenges and opportunities for data-centric multimodal mobility decisions. Second, rooted on existing literature and empirical evidence, we outline principles for the context-aware discovery of multimodal patterns from heterogeneous sources of urban data. Third, Lisbon is introduced as a case study to show how these principles can be enacted in practice, together with some essential findings. Finally, we instantiate some principles by conducting a spatiotemporal analysis of multimodality indices in the city against available context. Concluding, this work offers a structured view on the opportunities offered by cross-modal and context-enriched analysis of traffic data, motivating the role of Big Data to support more transparent and inclusive mobility planning decisions, promote coordination among public transport operators, and dynamically align transport supply with the emerging urban traffic dynamics.


2021 ◽  
Author(s):  
◽  
Philipp Röding

The project investigates how economic paradigm shifts that occur at the beginning of the 1970s (primarily the abandonment of the gold standard and the endlessly increasing pool of capital awaiting investment that succeeded it) led to the emergence of a unique building type: the high-altitude observation deck. Part investment vehicle, part iteration of an ongoing fascination with the view from above, the project presents the observation deck as the point where three distinct paradigms intersect: observation, speculation and spectacle. Tracing the emergence of the observation deck through a series of case studies (Top of the World atop the World Trade Center (NYC), One World Observatory (NYC), The Tulip (London) the project enriches its interdisciplinary approach with archival research and fieldwork. Re-telling the complicated collaboration between architect Warren Platner and graphic designer Milton Glaser at the end of the 1960s, the project lays out how the observation deck is conceived at a time when the perceived “crisis” of New York results in a rapidly accelerating neoliberalization of urban space. An avatar of this emerging ideology the observation deck is heavily invested in making the city visually comprehensible. Incorporating a sort of neoliberalist geometry, the deck transforms the city into a product to be consumed instead of a reality to live in and thus paves the way for other ventures of what has been called the “experience economy.” Thus, it signals the ongoing shift away from an architecture that possesses any use value, towards one that, as Barthes put it with regards to Eiffel Tower, is centered only on viewing and being viewed. A speculative machine, the observation deck renders the city into a product.


Author(s):  
Yulia Nurliani Lukito ◽  
Rumishatul Ulya

This paper aims to investigate the negotiation between the “formal” and the “informal” urban space in Jakarta through the examination of use of space of marginalized transportation of bajaj – a three-wheeled public transportation. Bajaj drivers continuously and creatively create their use of space and territory as the result of the limitation of space. Creativity in using space emerges as a way to get available space and this activity results in the appropriation of urban space. The basis of such appropriation is how to survive in urban space and such condition is characterized by negotiation, flexibility and adaptability. In high-density Jakarta city, it is necessary for bajaj drivers – who have only limited possibility in using strategic urban space – to use both the formal and the informal to sustain the city at large. An analysis of how bajaj drivers negotiated urban spaces around Manggarai Station reveals the appropriation of urban space that relies on temporality, tactics and negotiation of rules of access among users. In this paper, we analyze how urban informality as an ‘organizing logic’ results in a specific mode of the production of space. The analysis of negotiations of space around Manggarai Station is intended to contribute to an understanding of how informal and negotiated spaces, which shape everyday life in the city, are inseparable parts of formal and designed spaces in the city of Jakarta.


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