scholarly journals Towards a Sustainable i-City: Intelligent Transition Management of Digital Places

2017 ◽  
Vol 21 (1) ◽  
pp. 151 ◽  
Author(s):  
Karima Kourtit
Keyword(s):  
Big Data ◽  
Force Field ◽  
Data Management ◽  
Digital Technology ◽  
Technology Use ◽  
Urban Areas ◽  
Smart Cities ◽  
Transition Management ◽  
Intelligent City ◽  
Cognitive Expertise

<p>Modern cities operate in a force field of great challenges. The introduction of digital technology may facilitate the necessary transition management of cities but calls also for a new and intelligent use of a wealth of information for coping with great many urban challenges. This paper provides an exploration of the various challenges and tasks of an intelligent city (<em>i</em>-city) faced with unforeseen challenges and an unprecedented supply of ‘big data’. Professional data management based on solid cognitive expertise in this area seems to be a wise strategy of a modern <em>i</em>-city.</p><p><strong>Purpose:</strong> This paper provides an exploration of the various challenges and tasks of an intelligent city (<em>i</em>-city) faced with unforeseen challenges and an unprecedented supply of ‘big data’.</p><p><strong>Methodology/Approach:</strong> The aim of this brief exploratory paper is to provide a sketch of the context and the force field of modern digital technology for urban areas. Our objective is to provide a positioning of Sweden – and in particular Stockholm – from the perspective of ICT use and digital technology use. Consequently, against the background of global and national ICT developments, the present paper will zoom in on Sweden and Stockholm as a reference case, so as to provide concrete and operational information in a benchmark exploration. At the end, some ingredients for a research and policy agenda will be offered.</p><p><strong>Findings:</strong> The conclusion may be drawn that Sweden is an advanced Internet-rich country, in which the top of the hierarchy is dominated by Stockholm. Clearly, this city may be seen as a role model for others in the use of Internet activities. It is a typical example of a leading <em>i</em>-city.</p><p><strong>Research Limitation/implication:</strong> The paper provides in a cascade form various relevant data on smart cities, from an international, national and local perspective, with the main focus on Stockholm.</p><p><strong>Originality/Value of paper:</strong> Professional data management based on solid cognitive expertise in this area seems to be a wise strategy of a modern <em>i</em>-city.</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.

Applications of Big Data and Green IoT-Enabling Technologies for Smart Cities

2019 ◽  
pp. 22-41
Author(s):  
Onur Dogan ◽  
Omer Faruk Gurcan
Keyword(s):  
Big Data ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Smart Cities ◽  
Digital Data ◽  
Rapid Urbanization ◽  
Data Resource ◽  
Parallel Data ◽  
Information And Communication

In recent years, enormous amounts of digital data have been generated. In parallel, data collection, storage, and analysis technologies have developed. Recently, there has been an increasing trend of people moving towards urban areas. By 2030 more than 60% of the world's population will live in an urban environment. Urban areas are big data resource because they include millions of citizens, technological devices, and vehicles which generate data continuously. Besides, rapid urbanization brings many challenges, such as environmental pollution, traffic congestion, health problems, energy management, etc. Some policies for countries are required to cope with urbanization problems. One of these policies is to build smart cities. Smart cities integrate information and communication technology and various physical devices connected to the network (the internet of things or IoT) to both improve the quality of government services and citizen welfare. This chapter presents a literature review of big data, smart cities, IoT, green-IoT concepts, using technology and methods, and applications worldwide.

Modelling and simulation techniques for transport networks within urban areas applied to logistics and resilience

2021 ◽  
Author(s):  
◽  
Pablo Álvarez
Keyword(s):  
Big Data ◽  
Real Time ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Smart Cities ◽  
Modelling And Simulation ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Simulation Techniques ◽  
New Methodologies

This thesis investigates the use of modelling and simulation techniques in urban areas of smart cities, also exploring how big data can be used to feed these models. These modelling techniques have been applied to two different fields that have been gaining prominence during the last years but where research is still limited: urban logistics and urban resilience. Through this thesis, the author has expanded the research knowledge in these fields by exploring different methods such as meta-heuristics, transport modelling, and agent-based simulation in order to define new methodologies to be applied to urban areas. Regarding logistics, the author has shown through the use of meta-heuristics that when traffic congestion is considered as a dynamic attribute to optimize delivery routes in urban areas, time can be reduced by 11%, which is crucial for logistics companies in a market that is fiercer every day. This is true not only for urban areas, but this research has also demonstrated that optimizing routes with dynamic congestion attributes is also beneficial at a strategic level for routes between cities. To consider congestion costs in real time, a new approach has been developed in which data from Google is downloaded to feed these meta-heuristic models, although other sources of big data could be also used. In this thesis, a methodology is also presented that has been used to model logistics routes in urban areas considering real-time data and with the flexibility to add different network attributes (gradient, traffic bans, CO2, etc.) to simulate different scenarios. This can be useful for logistics companies to optimize their deliveries (choosing between van or tricycles, selecting the time of the day to deliver, etc.) but also for public authorities to get guidance on different transport and urban policies (pedestrianization of some streets, traffic bans, etc.).As for city resilience, the thesis focuses on evacuation planning. A new methodology has been created in which agent-based simulation is used through interconnected sub-models to model a large-scenario evacuation scenario (flooding event as a consequence of a dam collapse). This research defines the data needed to create these models that can be of great help to improve city resilience, and also analyzes how traffic congestion can affect the evacuation procedures. Through the different research articles that compose this thesis, the author brings light to these fields by developing new methodologies and using real case-studies that can help urban planners, companies, and policy makers to create more efficient, sustainable, and resilient smart cities.

Building Intelligent Cities

2021 ◽  
pp. 1-27
Author(s):  
Vijayaraghavan Varadharajan ◽  
Akanksha Rajendra Singh
Keyword(s):  
Decision Making ◽  
Resource Allocation ◽  
Data Management ◽  
Real Time ◽  
Smart Cities ◽  
Technology Infrastructure ◽  
Intelligent City ◽  
Intelligent Cities ◽  
Comprehensive Introduction

A city may be regarded as an intelligent city when its services to citizens are connected and it is able to obtain data from every aspect of its technology infrastructure to leverage it in real time for resource allocation, monitoring, management, and decision making. Cities around the globe are ambitiously leveraging the latest technologies to transform their infrastructures to better provision and manage the e-services. Although they are setting goals for focusing on the appropriate financing, long-term planning, developing technology stack, and advancing data management, governments need to further encompass all relevant guidelines towards right technology frameworks before commencing their intelligent city projects. This chapter provides a comprehensive introduction to intelligent cities, also known as smart cities, and the associated requirements. It also articulates the evolution of a typical city to a truly integrated, responsive, open, and connected intelligent city and the required underlying technologies.

Smart Cities, Mobile Technologies and Social Cohesion in India

2017 ◽  
Vol 11 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Jason Miklian ◽  
Kristian Hoelscher
Keyword(s):  
Civil Rights ◽  
Technology Use ◽  
Urban Areas ◽  
Smart Cities ◽  
Civil Liberties ◽  
Developmental Outcomes ◽  
Mobile Technologies ◽  
Inclusive Development ◽  
Communications Technologies ◽  
Use Of Internet

India’s cities are projected to grow by 300 million people by 2050, but this demographic transition may exacerbate fragile communal and infrastructural tensions. To address these challenges, the ‘Smart Cities’ agenda attempts to leverage India’s rapid embrace of technology to generate societal positive developmental outcomes in urban areas that emphasize the use of Internet and communications technologies (ICTs). However, local, regional and national government agencies struggle to balance embracing technology with inclusive development that protects civil rights and liberties. While the benefits are often stated, the acceleration of technology use in urban development can also create exclusionary cities, and many technologies that drive India’s modernization have also facilitated riots and violence between communities. This article explores these contradictions, examining scholarship on Smart Cities and ICTs in the context of the 2015–2016 Patel/Patidar agitation in Gujarat. We conclude by offering forward pathways for the Smart Cities and mobile technology agendas that support inclusive urban growth and development in India but are also mindful of civil liberties.

Applications of Big Data and Green IoT-Enabling Technologies for Smart Cities

2022 ◽  
pp. 1090-1109
Author(s):  
Onur Dogan ◽  
Omer Faruk Gurcan
Keyword(s):  
Big Data ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Smart Cities ◽  
Digital Data ◽  
Rapid Urbanization ◽  
Data Resource ◽  
Parallel Data ◽  
Information And Communication

In recent years, enormous amounts of digital data have been generated. In parallel, data collection, storage, and analysis technologies have developed. Recently, there has been an increasing trend of people moving towards urban areas. By 2030 more than 60% of the world's population will live in an urban environment. Urban areas are big data resource because they include millions of citizens, technological devices, and vehicles which generate data continuously. Besides, rapid urbanization brings many challenges, such as environmental pollution, traffic congestion, health problems, energy management, etc. Some policies for countries are required to cope with urbanization problems. One of these policies is to build smart cities. Smart cities integrate information and communication technology and various physical devices connected to the network (the internet of things or IoT) to both improve the quality of government services and citizen welfare. This chapter presents a literature review of big data, smart cities, IoT, green-IoT concepts, using technology and methods, and applications worldwide.

scholarly journals Fog Computing for Smart Cities’ Big Data Management and Analytics: A Review

2020 ◽  
Vol 12 (11) ◽  
pp. 190
Author(s):  
Elarbi Badidi ◽  
Zineb Mahrez ◽  
Essaid Sabir
Keyword(s):  
Big Data ◽  
Public Space ◽  
Data Storage ◽  
Smart City ◽  
Urban Areas ◽  
Smart Cities ◽  
Fog Computing ◽  
Space Management ◽  
Network Bandwidth ◽  
Edge And Fog Computing

Demographic growth in urban areas means that modern cities face challenges in ensuring a steady supply of water and electricity, smart transport, livable space, better health services, and citizens’ safety. Advances in sensing, communication, and digital technologies promise to mitigate these challenges. Hence, many smart cities have taken a new step in moving away from internal information technology (IT) infrastructure to utility-supplied IT delivered over the Internet. The benefit of this move is to manage the vast amounts of data generated by the various city systems, including water and electricity systems, the waste management system, transportation system, public space management systems, health and education systems, and many more. Furthermore, many smart city applications are time-sensitive and need to quickly analyze data to react promptly to the various events occurring in a city. The new and emerging paradigms of edge and fog computing promise to address big data storage and analysis in the field of smart cities. Here, we review existing service delivery models in smart cities and present our perspective on adopting these two emerging paradigms. We specifically describe the design of a fog-based data pipeline to address the issues of latency and network bandwidth required by time-sensitive smart city applications.

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