scholarly journals Urban Data Games: Creating Smart Citizens for Smart Cities

2015 ◽  
Author(s):  
Annika Wolff ◽  
Gerd Kortuem ◽  
Jose Cavero
Keyword(s):  
Smart Cities ◽  
Urban Data

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 Data Governance and Sovereignty in Urban Data Spaces Based on Standardized ICT Reference Architectures

Data ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 16 ◽  
Author(s):  
Silke Cuno ◽  
Lina Bruns ◽  
Nikolay Tcholtchev ◽  
Philipp Lämmel ◽  
Ina Schieferdecker
Keyword(s):  
Data Exchange ◽  
Smart Cities ◽  
Legal Aspects ◽  
Urban Environments ◽  
Added Value ◽  
Data Types ◽  
Data Governance ◽  
European Cities ◽  
Data Space ◽  
Urban Data

European cities and communities (and beyond) require a structured overview and a set of tools as to achieve a sustainable transformation towards smarter cities/municipalities, thereby leveraging on the enormous potential of the emerging data driven economy. This paper presents the results of a recent study that was conducted with a number of German municipalities/cities. Based on the obtained and briefly presented recommendations emerging from the study, the authors propose the concept of an Urban Data Space (UDS), which facilitates an eco-system for data exchange and added value creation thereby utilizing the various types of data within a smart city/municipality. Looking at an Urban Data Space from within a German context and considering the current situation and developments in German municipalities, this paper proposes a reasonable classification of urban data that allows the relation of various data types to legal aspects, and to conduct solid considerations regarding technical implementation designs and decisions. Furthermore, the Urban Data Space is described/analyzed in detail, and relevant stakeholders are identified, as well as corresponding technical artifacts are introduced. The authors propose to setup Urban Data Spaces based on emerging standards from the area of ICT reference architectures for Smart Cities, such as DIN SPEC 91357 “Open Urban Platform” and EIP SCC. In the course of this, the paper walks the reader through the construction of a UDS based on the above-mentioned architectures and outlines all the goals, recommendations and potentials, which an Urban Data Space can reveal to a municipality/city. Finally, we aim at deriving the proposed concepts in a way that they have the potential to be part of the required set of tools towards the sustainable transformation of German and European cities in the direction of smarter urban environments, based on utilizing the hidden potential of digitalization and efficient interoperable data exchange.

scholarly journals PREFACE

2018 ◽  
Vol IV-4/W7 ◽  
pp. 1-2
Author(s):  
C. Ellul ◽  
V. Coors ◽  
S. Zlatanova ◽  
R. Laurini ◽  
M. Rumor
Keyword(s):  
Decision Making ◽  
Data Management ◽  
Smart City ◽  
Spatial Information ◽  
Smart Cities ◽  
Citizen Engagement ◽  
Smart Data ◽  
The City ◽  
Urban Data

<p><strong>Abstract.</strong> Simply defined, a Smart City is a city overlaid by a digital layer, which is used for the governance of the city. A Smart City uses intelligent technology to enhance our quality of life in urban environments, bringing together people and data from disparate sources such as sensors, demographics, topographic and 3D mapping, Building Information Models and many more. Increasingly, Smart Cities use this data in a variety of ways, to address key challenges related to transportation, communications, air quality, noise, well-being of the citizens, decision making relating to education and health and urban planning, as well as in relation to initiatives such as startups and fostering economic growth and employment within the city. As more data becomes available, the challenges of storing, managing and integrating such data are also multiplied.</p><p> This increasing interest in Smart Cities world-wide, along with a growing understanding of the importance of integrating “Smart” data with other data and wider applications for the benefit of citizens, made the choice of hosting the third Smart Data, Smart Cities conference in Delft – in conjunction with three other conferences – a very natural one. Together the four conferences were held during the week of 1st–5th October 2018, and alongside SDSC participants were invited to attend the ISPRS Technical Commission IV Symposium, the 13th 3D GeoInfo Conference and the 6th International FIG Workshop on 3D Cadastres. Participant interaction – and the ability to attend sessions across the four events – was particularly encouraged. SDSC 2018 itself was organised by the Urban Data Management Society (UDMS www.udms.net), ISPRS and TU Delft (the Delft University of Technology), and Professor Volker Coors Chaired the SDSC committee.</p><p> As in previous years, three key conference themes were proposed to represent the Smart Cities: <b>Smart Data</b> (sensor network databases, on-the-fly data mining, geographic and urban knowledge modeling and engineering, green computing, urban data analytics and big data, big databases and data management), <b>Smart People</b> (volunteered information, systems for public participation) and <b>Smart Cities</b> (systems of territorial intelligence, systems for city intelligence management,3D modeling of cities, internet of things, social networks, monitoring systems, mobility and transportation, smart-city-wide telecommunications infrastructure, urban knowledge engineering, urban dashboard design and implementation, new style of urban decision-making systems, geovisualization devoted to urban problems, disaster management systems).</p><p> This volume consists of 18 papers, which were selected from 34 submissions on the basis of double blind review, with each paper being reviewed by a minimum of three reviewers. These papers present novel research concerning the use of spatial information and communication technologies in Smart Cities, addressing different aspects of Smart Data and Smart Citizens. The selected papers tackle different aspects of Smart Cities: 3D; Citizen Engagement; transport, sustainable mobility; dashboards and web GIS; citizen engagement and participation; sensors; urban decision making.</p><p> The editors are grateful to the members of the Scientific Committee for their time and valuable comments, which contributed to the high quality of the papers. Reviews were contributed by: Giorgio Agugiaro, Maria Antoniabrovelli, Ken Arroyoohori, Martina Baucic, Michela Bertolotto, Pawel Boguslawski, Azedine Boulmakoul, Caesar Cardenas, Ofelia Cervantes, Volker Coors, Isabel Cruz, Vincenzo Delfatto, Claire Ellul, Tarun Ghawana, Gesquiere Gilles, Gerhard Groeger, Eberhard Gulch, Jan-Henrik Haunert, Stephen Hirtle, Umit Isikdag, Martin Kada, Snjezana Knezic, Robert Laurini, Liu Liu, Ed Manley, Viviana Mascardi, Marco Minghini, Raul Monroy, Regina Motz, Beniamino Murgante, Marco Painho, Dev Paudyal, Alenka Poplin, Ivana Racetin, Ismail Rakip Karas, Preston Rodrigues, David Sol, Wei Tu, Wei Tu, Genoveva Vargas, Kavita Vemuri, Edward Verbree, Mingshu Wang, Maribel Yasminasantos, Sisi Zlatanova. We are also grateful to the work of the local organising committee at TU Delft, without whom this conference would not have been possible. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-4/W7, 2018 3rd International Conference on Smart Data and Smart Cities, 4–5 October 2018, Delft, The Netherlands</p>

scholarly journals Smart governance of urban data

2021 ◽  
Vol 301 ◽  
pp. 05005
Author(s):  
Jing Wang ◽  
Dang Que Nguyen ◽  
Tatiana Bonkalo ◽  
Oleg Grebennikov
Keyword(s):  
Big Data ◽  
Urban Areas ◽  
Smart Cities ◽  
Reference Points ◽  
Data Driven ◽  
New Paradigm ◽  
Policy Makers ◽  
Intelligent City ◽  
Smart Governance ◽  
Urban Data

This paper focuses on the smart governance of urban data. Recently, the idea of an intelligent city has gained increased attention among technologists, urban scientists, stakeholders, companies and policy makers in the last decades. The new paradigm of the cities in the 21st century and what it entails is seen by everyone, including the authors of this article, as a viable response to the unprecedented rate of urbanization most nations are experiencing. Advanced smart cities are beginning to go beyond infrastructure and to use big data. The whole idea behind smart cities is to harness intelligent technologies and data-driven contextual governance models to mitigate and prevent the challenges that arise when an estimated 2 billion people move to urban areas. This is why collecting and analysing urban data becomes a key priority in this field. The development of Big Data analysis using the Artificial Intelligence (AI) becomes the domain of urban governments and stakeholders. This research contemplates over these issues and provides many examples from around smart cities around the world that can be used as reference points or inspiration for the policy-makers engaged in the smart city governance and urban planning.

Intelligent Urban Data Monitoring for Smart Cities

2016 ◽  
pp. 177-192 ◽  
Author(s):  
Nikolaos Panagiotou ◽  
Nikolas Zygouras ◽  
Ioannis Katakis ◽  
Dimitrios Gunopulos ◽  
Nikos Zacheilas ◽  
...  
Keyword(s):  
Smart Cities ◽  
Data Monitoring ◽  
Urban Data

scholarly journals A New Kinect-Based Posture Recognition Method in Physical Sports Training Based on Urban Data

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Dianchen He ◽  
Li Li
Keyword(s):  
Smart Cities ◽  
Training System ◽  
The Body ◽  
Sports Training ◽  
Depth Sensor ◽  
Recognition Method ◽  
Spatial Coordinates ◽  
Posture Recognition ◽  
Body Joints ◽  
Urban Data

Physical data is an important aspect of urban data, which provides a guarantee for the healthy development of smart cities. Students’ physical health evaluation is an important part of school physical education, and postural recognition plays a significant role in physical sports. Traditional posture recognition methods are with low accuracy and high error rate due to the influence of environmental factors. Therefore, we propose a new Kinect-based posture recognition method in a physical sports training system based on urban data. First, Kinect is used to obtain the spatial coordinates of human body joints. Then, the angle is calculated by the two-point method and the body posture library is defined. Finally, angle matching with posture library is used to analyze posture recognition. We adopt this method to automatically test the effect of physical sports training, and it can be applied to the pull-up of students’ sports. The position of the crossbar is determined according to the depth sensor information, and the position of the mandible is determined by using bone tracking. The bending degree of the arm is determined through the three key joints of the arm. The distance from the jaw to the bar and the length of the arm are used to score and count the movements. Meanwhile, the user can adjust his position by playing back the action video and scoring, so as to achieve a better training effect.

scholarly journals Data Governance and Sovereignty in Urban Data Spaces Based on Standardized ICT Reference Architectures

2018 ◽  
Author(s):  
Silke Cuno ◽  
Lina Bruns ◽  
Nikolay Tcholtchev ◽  
Philipp Lämmel ◽  
Ina Schieferdecker
Keyword(s):  
Value Creation ◽  
Data Exchange ◽  
Smart Cities ◽  
Legal Aspects ◽  
Added Value ◽  
Data Types ◽  
Data Governance ◽  
Data Space ◽  
Urban Data

This paper presents the results of a recent study that was conducted with a number of German municipalities/cities. Based on the obtained and briefly presented recommendations emerging from the study, the authors propose the concept of an Urban Data Space (UDS), which facilitates an eco-system for data exchange and added value creation thereby utilizing the various types of data within a smart city/municipality. Looking at an Urban Data Space from within a German context and considering the current situation and developments in German municipalities, this paper proposes a reasonable classification of urban data that allows to relate the various data types to legal aspects and to conduct solid considerations regarding technical implementation designs and decisions. Furthermore, the Urban Data Space is described/analyzed in detail, and relevant stakeholders are identified, as well as corresponding technical artifacts are introduced. The authors propose to setup Urban Data Spaces based on emerging standards from the area of ICT reference architectures for Smart Cities, such as DIN SPEC 91357 &ldquo;Open Urban Platform&rdquo; and EIP SCC. Thereby, the paper walks the reader through the construction of an UDS based on the above mentioned architectures and outlines all the goals, recommendations and potentials, which an Urban Data Space can reveal to a municipality/city.

scholarly journals A Virtual Reality Approach for Exploring Spatio-Temporal Urban Data

2019 ◽  
Author(s):  
Jorge A. Wagner Filho ◽  
Luciana Nedel
Keyword(s):  
Virtual Reality ◽  
Domain Knowledge ◽  
Smart Cities ◽  
Three Dimensional ◽  
Relevant Information ◽  
Efficient Design ◽  
Public Governance ◽  
Spatio Temporal ◽  
Real World Datasets ◽  
Urban Data

One of the biggest challenges in computing nowadays is to extract relevant information from ever-growing datasets. Applications such as smart cities, transportation planning, control of epidemics, and citizen engagement in public governance can heavily benefit from the analysis of large volumes of urban data. Despite advances in AI and Data Mining, sometimes they are not enough. Data visualization allows us to apply our human visual understanding capabilities and domain knowledge to this process, and to explore the data without necessarily knowing beforehand what information we are looking for. We hypothesize that immersive and stereoscopic Virtual Reality (VR) environments, coupled with natural embodied interaction, will better support the exploration of inherently three-dimensional spatio-temporal data representations. Through the expansion of an immersive technique we have recently proposed, and iterative user evaluations employing real-world datasets, we will investigate this hypothesis and identify the most efficient design choices for interaction and collaboration.

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