Deconstructing Smart Cities

2014 ◽  
pp. 1-13 ◽  
Author(s):  
Michael Batty
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Smart City ◽  
New Technologies ◽  
Smart Cities ◽  
Public Realm ◽  
The Public ◽  
Important Challenge ◽  
Urban Problems ◽  
The City

This chapter defines the smart city in terms of the process whereby computers and computation are being embedded into the very fabric of the city itself. In short, the smart city is the automated city where the goal is to improve the efficiency of how the city functions. These new technologies tend to improve the performance of cities in the short term with respect to how cities function over minutes, hours or days rather than over years or decades. After establishing definitions and context, the author then explores questions of big data. One important challenge is to synthesize or integrate different data about the city's functioning and this provides an enormous challenge which presents many obstacles to producing coherent solutions to diverse urban problems. The chapter augments this argument with ideas about how the emergence of widespread computation provides a new interface to the public realm through which citizens might participate in rather fuller and richer ways than hitherto, through interactions in various kinds of decision-making about the future city. The author concludes with some speculations as to how the emerging science of smart cities fits into the wider science of cities.

Deconstructing Smart Cities

Big Data ◽  
2016 ◽  
pp. 1957-1969
Author(s):  
Michael Batty
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Smart City ◽  
New Technologies ◽  
Smart Cities ◽  
Public Realm ◽  
The Public ◽  
Important Challenge ◽  
Urban Problems ◽  
The City

This chapter defines the smart city in terms of the process whereby computers and computation are being embedded into the very fabric of the city itself. In short, the smart city is the automated city where the goal is to improve the efficiency of how the city functions. These new technologies tend to improve the performance of cities in the short term with respect to how cities function over minutes, hours or days rather than over years or decades. After establishing definitions and context, the author then explores questions of big data. One important challenge is to synthesize or integrate different data about the city's functioning and this provides an enormous challenge which presents many obstacles to producing coherent solutions to diverse urban problems. The chapter augments this argument with ideas about how the emergence of widespread computation provides a new interface to the public realm through which citizens might participate in rather fuller and richer ways than hitherto, through interactions in various kinds of decision-making about the future city. The author concludes with some speculations as to how the emerging science of smart cities fits into the wider science of cities.

Smart and Connected Cities Through Technologies

2019 ◽  
pp. 1-24 ◽  
Author(s):  
Vrushali Gajanan Kadam ◽  
Sharvari Chandrashekhar Tamane ◽  
Vijender Kumar Solanki
Keyword(s):  
Big Data ◽  
Traffic Congestion ◽  
Smart City ◽  
Smart Cities ◽  
Big Data Analytics ◽  
Crowd Sensing ◽  
The World ◽  
Important Challenge ◽  
Mobile Crowd

The world is growing and energy conservation is a very important challenge for the engineering domain. The emergence of smart cities is one possible solution for the same, as it claims that energy and resources are saved in the smart city infrastructure. This chapter is divided into five sections. Section 1 gives the past, present, and future of the living style. It gives the representation from rural, urban, to smart city. Section 2 gives the explanations of four pillars of big data, and through grid, a big data analysis is presented in the chapter. Section 3 started with the case study on smart grid. It comprises traffic congestion and their prospective solution through big data analytics. Section 4 starts from the mobile crowd sensing. It discusses a good elaboration on crowd sensing whereas Section 5 discusses the smart city approach. Important issues like lighting, parking, and traffic were taken into consideration.

scholarly journals Managing Large Amounts of Data Generated by a Smart City Internet of Things Deployment

2016 ◽  
Vol 12 (4) ◽  
pp. 22-42 ◽  
Author(s):  
Jorge Lanza ◽  
Pablo Sotres ◽  
Luis Sánchez ◽  
Jose Antonio Galache ◽  
Juan Ramón Santana ◽  
...  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Information And Communication Technologies ◽  
Smart City ◽  
Smart Cities ◽  
Communication Technologies ◽  
Added Value ◽  
Amount Of Information ◽  
Information And Communication ◽  
The City

The Smart City concept is being developed from a lot of different axes encompassing multiple areas of social and technical sciences. However, something that is common to all these approaches is the central role that the capacity of sharing information has. Hence, Information and Communication Technologies (ICT) are seen as key enablers for the transformation of urban regions into Smart Cities. Two of these technologies, namely Internet of Things and Big Data, have a predominant position among them. The capacity to “sense the city” and access all this information and provide added-value services based on knowledge derived from it are critical to achieving the Smart City vision. This paper reports on the specification and implementation of a software platform enabling the management and exposure of the large amount of information that is continuously generated by the IoT deployment in the city of Santander.

Smart Cities Governance

2016 ◽  
Vol 34 (6) ◽  
pp. 724-739 ◽  
Author(s):  
Walter Castelnovo ◽  
Gianluca Misuraca ◽  
Alberto Savoldelli
Keyword(s):  
Decision Making ◽  
Smart City ◽  
Social Innovation ◽  
Smart Cities ◽  
Policy Decision ◽  
Holistic Approach ◽  
Public Value ◽  
The Public ◽  
Policy Decision Making ◽  
Evaluation Approaches

Most of the definitions of a “smart city” make a direct or indirect reference to improving performance as one of the main objectives of initiatives to make cities “smarter”. Several evaluation approaches and models have been put forward in literature and practice to measure smart cities. However, they are often normative or limited to certain aspects of cities’ “smartness”, and a more comprehensive and holistic approach seems to be lacking. Thus, building on a review of the literature and practice in the field, this paper aims to discuss the importance of adopting a holistic approach to the assessment of smart city governance and policy decision making. It also proposes a performance assessment framework that overcomes the limitations of existing approaches and contributes to filling the current gap in the knowledge base in this domain. One of the innovative elements of the proposed framework is its holistic approach to policy evaluation. It is designed to address a smart city’s specificities and can benefit from the active participation of citizens in assessing the public value of policy decisions and their sustainability over time. We focus our attention on the performance measurement of codesign and coproduction by stakeholders and social innovation processes related to public value generation. More specifically, we are interested in the assessment of both the citizen centricity of smart city decision making and the processes by which public decisions are implemented, monitored, and evaluated as regards their capability to develop truly “blended” value services—that is, simultaneously socially inclusive, environmentally friendly, and economically sustainable.

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 TRENDS IN INTRODUCTION OF SMART CITY TECHNOLOGIES IN URBAN COMMUNITY DEVELOPMENT STRATEGY

2021 ◽  
pp. 87-91
Author(s):  
Maksym Horshkov ◽  
Oleksandr Lozovskyi
Keyword(s):  
Decision Making ◽  
Development Strategy ◽  
Smart City ◽  
Urban Community ◽  
Smart Cities ◽  
Information Environment ◽  
City Development ◽  
The World ◽  
Smart Technologies ◽  
The City

Purpose. The purpose of the article is to analysis of trends and formation of recommendations for the introduction of smart city technologies in the development strategy of the urban community. Methodology of research. The research methodology contains the following general scientific methods, namely: bibliographic – for the analysis and systematization of scientific works on the development of "smart" cities, modelling of their technological and information structures; historical and practical – to study the practical experience of introducing intellectual elements in the urban space; comparative – to determine the priorities of the components of the "smart city" model; abstract and logical – in forming conclusions and formulating recommendations. Findings. It is determined that the European model of smart city development provides for the introduction of such components as smart - economy, mobility, ecological approach to environmental protection; digital technologies; development of information, digital and general culture of residents; smart lifestyle; e-government. The world tendencies and Ukrainian practices of introduction of smart elements for digitalization of management of infrastructure of the city are analysed. It is determined that the technological solutions of a smart city are developed on the basis of Internet of Things technologies, active use of feedback principles, formation of data transmission infrastructure, data collection, processing and analysis systems. It is revealed that the introduction of smart technologies is carried out in fragments both in Ukraine and in the world. It is analysed that the development strategies of Ukrainian cities do not contain separate sections on the introduction of smart technologies. Ukrainian cities lag far behind in the pace of innovation and do not have separate strategies for the development of a smart city. It is proved that all stakeholders should have information on the formation of the city's development strategy and, in particular, its smart technologies, understands their level of responsibility and participation in decision-making mechanisms and implementation of the introduced technologies. Originality. The model of a smart city has been improved, taking into account trends in the development of smart cities and identifying priority areas for the development of smart technologies in the management of infrastructure and urban information environment. The information environment involves the use of a multi-loop information system to support the life of the city in various areas. Such a system contains the necessary functionality, as well as special emotional and motivating contours to increase the activity of citizens, ensure transparency of decision-making by city leaders and more. Practical value. The formed recommendations can be used by project groups of city councils for improvement of strategies of development of cities and development of scenarios of introduction of elements of system of the smart city. Key words: smart city, digital ecosystem, digital information environment, digital city development strategy, digital interaction services.

scholarly journals Smart City Readiness based on Smart City Council’s Readiness Framework

2018 ◽  
Vol 8 (1) ◽  
pp. 271 ◽  
Author(s):  
Kusuma Adi Achmad ◽  
Lukito Edi Nugroho ◽  
Achmad Djunaedi ◽  
Widyawan Widyawan
Keyword(s):  
Pilot Study ◽  
Smart City ◽  
Smart Cities ◽  
Technological Aspect ◽  
City Development ◽  
Device Management ◽  
Urban Problems ◽  
The City

The level of urbanization which may impact on urban problems could be resolved through city development enabled and supported by the advanced ICT to build the city smart. To develop the city smart, the readiness of smart cities enablers should be assessed. The study was conducted based on pilot study through a survey on the smart city readiness. The analysis of smart city readiness in Yogyakarta showed that the evaluation of smart city projects implemented partially; only operational and asset optimization, and access to comprehensive device management implemented over 50%. Smart city readiness not only be measured by technological aspect but also need to be measured as non-technological aspects. Thus, measurement of readiness smart city can be more comprehensive.

scholarly journals How Canadian Municipalities aren(n't) engaging the public in smart city initiatives

2021 ◽  
Author(s):  
Lindsay Toth
Keyword(s):  
Decision Making ◽  
Intellectual Property ◽  
Key Words ◽  
Digital Divide ◽  
Public Engagement ◽  
Open Innovation ◽  
Smart City ◽  
Smart Cities ◽  
Decision Making Process ◽  
The Public

The smart city concept is innovation in urbanism. Innovation is transformative, demanding the involvement of the public based on a belief that those who will be impacted by a decision have a right to be involved in the decision-making process. But smart city initiatives raise complex technical, privacy, economic, and intellectual property issues unlike those the public has been presented with before. This paper explores how Canadian municipalities are approaching this challenge by coding and analyzing applications to Infrastructure Canada’s Smart Cities Challenge (SCC). The analysis reveals, among other findings, that municipalities engaged citizens directly as well as their representatives, leveraged previously-conducted engagement and conducted new engagement, and employed a range of engagement activities online and offline. Recommendations to Infrastructure Canada and municipal planners highlight the need for more public input on the technology solutions proposed, increased attention to the digital divide during engagement, and citizen involvement in all stages of open innovation. Key words: Smart Cities Challenge, public engagement, open innovation

Smart and Connected Cities Through Technologies

2022 ◽  
pp. 1113-1131
Author(s):  
Vrushali Gajanan Kadam ◽  
Sharvari Chandrashekhar Tamane ◽  
Vijender Kumar Solanki
Keyword(s):  
Big Data ◽  
Traffic Congestion ◽  
Smart City ◽  
Smart Cities ◽  
Big Data Analytics ◽  
Crowd Sensing ◽  
The World ◽  
Important Challenge ◽  
Mobile Crowd

The world is growing and energy conservation is a very important challenge for the engineering domain. The emergence of smart cities is one possible solution for the same, as it claims that energy and resources are saved in the smart city infrastructure. This chapter is divided into five sections. Section 1 gives the past, present, and future of the living style. It gives the representation from rural, urban, to smart city. Section 2 gives the explanations of four pillars of big data, and through grid, a big data analysis is presented in the chapter. Section 3 started with the case study on smart grid. It comprises traffic congestion and their prospective solution through big data analytics. Section 4 starts from the mobile crowd sensing. It discusses a good elaboration on crowd sensing whereas Section 5 discusses the smart city approach. Important issues like lighting, parking, and traffic were taken into consideration.

Big Data Utilization, Benefits, and Challenges for Smart City Implementation

2019 ◽  
pp. 42-54 ◽  
Author(s):  
Sonali Vyas ◽  
Deepshikha Bhargava
Keyword(s):  
Big Data ◽  
High Velocity ◽  
Smart City ◽  
Smart Cities ◽  
Digital Information ◽  
Data Utilization ◽  
Performance Quality ◽  
Big Data Applications ◽  
The City ◽  
Advanced Version

With the rapid advancement of technology, everything is transforming into smarter versions. The term smart city means a technologically strengthened and advanced version of the city. Smart cities utilize digital information and techniques for improving services like performance, quality, etc. Big data technology and methods are utilized for handling the vast volume, high velocity and wide variety of data related to cities. This chapter discusses the big data utilization for making smart cities and also throws light on various applications where efficient analysis of services can be carried out using Big Data techniques. The main objective of this chapter will be to provide knowledge of big data implementation for the smart city and its services. This chapter will also investigate various prospects, benefits, and challenges of absorbing big data utilization for smart cities. It will also discuss some case studies related to big data applications for smart city services. It will also propose some open issues related to big data implementation for the smart city.

Sign in / Sign up

Export Citation Format

Share Document