scholarly journals Smart City Planning

2018 ◽  
Vol 7 (3) ◽  
pp. 1-21 ◽  
Author(s):  
Ulrik Ekman
Keyword(s):  
Urban Planning ◽  
Complexity Theory ◽  
Smart City ◽  
City Planning ◽  
Smart Cities ◽  
Urban System ◽  
Theory And Practice ◽  
Complex Adaptive ◽  
The Face ◽  
The City

This article reflects on the challenges for urban planning posed by the emergence of smart cities in network societies. In particular, it reflects on reductionist tendencies in existing smart city planning. Here the concern is with the implications of prior reductions of complexity which have been undertaken by placing primacy in planning on information technology, economical profit, and top-down political government. Rather than pointing urban planning towards a different ordering of these reductions, this article argues in favor of approaches to smart city planning via complexity theory. Specifically, this article argues in favor of approaching smart city plans holistically as topologies of organized complexity. Here, smart city planning is seen as a theory and practice engaging with a complex adaptive urban system which continuously operates on its potential. The actualizations in the face of contingency of such potential are what might have the city evolve over time, its organization, its wholeness, and its continued existence being at stake from moment to moment.

scholarly journals A Citizen-Centred Approach to Education in the Smart City

2012 ◽  
Vol 3 (4) ◽  
pp. 50-64 ◽  
Author(s):  
Mark Gaved ◽  
Ann Jones ◽  
Agnes Kukulska-Hulme ◽  
Eileen Scanlon
Keyword(s):  
Language Learning ◽  
Smart City ◽  
High Speed ◽  
Formal Education ◽  
Incidental Learning ◽  
City Planning ◽  
Smart Cities ◽  
Boundary Object ◽  
Learning Framework ◽  
The City

Smart cities are often developed in a top-down approach and designers may see citizens as bits within data flows. A more human-centred perspective would be to consider what the smart city might afford its citizens. A high speed, pervasive network infrastructure offers the opportunity for ubiquitous mobile learning to become a reality. The MASELTOV project sees the smart city as enabling technology enhanced incidental learning: unplanned or unintentional learning that takes place in everyday life, in any place, at any time, with the city itself the context and the prompt for learning episodes. Migrants in particular will benefit: limited in their opportunity to attend formal education yet with a pressing need for language learning to support their integration. Incidental learning services, like smart city planning, need interdisciplinary communication for successful development. The authors describe the MASELTOV Incidental Learning Framework which will act as a boundary object to facilitate this process.

scholarly journals THE URBAN PLANNING CONCEPT BASED ON SMART CITY APPROACH

2018 ◽  
Vol 3 (2) ◽  
pp. 63 ◽  
Author(s):  
Muhammad Bakri ◽  
Anita Ahmad Kasim
Keyword(s):  
Urban Planning ◽  
Urban Growth ◽  
Smart City ◽  
Urban Areas ◽  
Urban Population ◽  
Smart Cities ◽  
Main Factors ◽  
Urban Population Growth ◽  
The City ◽  
Planning Concept

<p><em>Smart City comes as a strategy to reduce the problem due to rapid urban growth and urbanization. The concept of Smart City is needed to ensure the conditions of a habitable City in the context of rapidly growing urban population growth. The urgency of this challenge prompted many cities to begin to find smarter ways of managing urban areas. One way to make the concept of the smart city is to make the city an icon that is sustainable and livable. This study aims to provide the necessary information in building and developing a city through the smart city approach. This paper clarifies the meaning of the word "smart" in the city context through an approach based on an in-depth literature review of the relevant study. This study will identify the main factors and characteristics that characterize smart cities. The method used to obtain various factors and the characteristics of the Smart City in the arrangement of a region is done by studying various kinds of the literature of various concepts and components in the Smart City. The results obtained in this study there is a concept of Smart City in urban planning by mapping various factors and characteristics in the Smart City. </em></p><p><strong>Keywords</strong><em>: Smart City, Urban planning, smart city characteristic </em></p>

scholarly journals Research on the Application of Deep Learning Technology Oriented to the Construction and Innovation of Smart City Image Cognition

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Dan Shi ◽  
Lixin Song
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Urban Planning ◽  
Smart City ◽  
Quantitative Research ◽  
Smart Cities ◽  
Learning Technology ◽  
City Image ◽  
Urban Image ◽  
The City

City image is the observer’s subjective impression of the city image. It is an important content of urban geography and planning research and has important guiding significance for shaping a unique urban space. Cognitive research on traditional urban imagery is mainly by means of questionnaires and image sketches. It has problems such as high cost, low update frequency, and limited data coverage, which cannot meet the needs of quantitative research on smart cities and urban economic development in the information age. With the advent of the era of big data and the development of Internet technology, there are more and more quantitative research results on smart city image cognition with the help of big data and deep learning technology. It will be a feasible way to apply it to urban image research. This article combines the development and transformation of smart cities with the transformation of urban planning and leads to an innovation in the construction of urban image cognition based on urban image, active representation data as the data source, and deep learning as the core technology. The theoretical connotation and cognitive dimension of urban imagery are expanded to establish a cognitive model of urban imagery. The city image is cognitively analyzed from three dimensions: image structure, image type, and image evaluation. Specific cities are taken as examples to verify the applicability and scientificity of the cognitive methods and models, so as to enhance the practicality and applicability of urban imagery in urban planning. At the same time, this research is used to answer the development dilemma of big data, summarize the development trend of big data, and explore the new changes that artificial intelligence brings to urban planning. The experimental results show that the model we designed efficiently evaluates the image of the city and can also effectively recognize the image of the city in the main urban area of Chongqing.

scholarly journals Energy Harvesting Mechanisms in a Smart City—A Review

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 476-498
Author(s):  
Ajibike Eunice Akin-Ponnle ◽  
Nuno Borges Carvalho
Keyword(s):  
Energy Harvesting ◽  
Smart City ◽  
Smart Cities ◽  
Close Proximity ◽  
The World ◽  
The Face ◽  
Remote Interaction ◽  
Iot Devices ◽  
The City ◽  
Application Specific

The issue of how to power the deployed Internet of Things (IoT) nodes with ubiquitous and long lasting energy in order to ensure uninterruptible optimisation of smart cities is of utmost concern. This among other challenges has continued to gear efforts toward energy harvesting research. With the outbreak of COVID-19 pandemic and the lockdown that nearly paralysed activities of everyday living in many nations of the world, option of human remote interaction to enforce social distancing became imperative. Hence, the world is witnessing a renewed awareness of the importance of IoT devices, as integral components of smart city, especially for the essence of survival in the face of lockdown. Energy harvesting is a possible solution that could enable IoT nodes to scavenge self-sustaining energy from environmental ambient sources. In this paper, we have reviewed most sources within city that energy could be harvested from, as reported by researchers in literature. In addition, we have submitted that energy sources can be application specific, such that, since there are many free sources in the city as presented in this review, energy should be scavenged within close proximity of need for various IoT devices or wireless sensor networks (WSNs), for smart city automation.

scholarly journals A novel framework of e-participation for smart cities

2019 ◽  
Vol 3 (2) ◽  
pp. 45-55 ◽  
Author(s):  
Muhammad Yusuf ◽  
Nurwahyu Alamsyah ◽  
Muh. Syarif ◽  
Arif Muntasa ◽  
Hakam Muzakki
Keyword(s):  
Citizen Participation ◽  
Smart City ◽  
Smart Cities ◽  
The Body ◽  
Theory And Practice ◽  
High Tech ◽  
The Novel ◽  
Body Of Knowledge ◽  
Current State ◽  
The City

The smart city is an exciting concept for improving the quality of the city. However, a smart city needs participation from citizens and all related stakeholders to use the technologies effectively in order to achieve the goal and solve the problems. Even though the city already has high-tech infrastructures, participation still required to provide ideas, inputs, and roles within the development of smart city concepts. This research aims to describe and analyze the current state of the e-Participation frameworks and propose a novel framework for smart cities. The analysis will go through a systematic literature review. Hopefully, this study makes contributions by providing a novel framework of e-Participation for smart cities. This research has implications for theory and practice. For theory, the novel framework can be added to the body of knowledge of e-participation, e-government, and smart cities fields. For practice, the framework will be useful for practitioners, policymakers, people and other stakeholders related to the smart city governance to increase citizen participation through technology-based services.

YOUTH EXPECTATIONS OF SMART CITY LIVING: AN IMPORTANCE- PERFORMANCE ANALYSIS OF YOUNG RESIDENTS’ PERSPECTIVES OF CITY GOVERNMENT

2017 ◽  
Vol 14 (1) ◽  
pp. 118-128
Author(s):  
Jason Cohen ◽  
Judy Backhouse ◽  
Omar Ally
Keyword(s):  
Performance Analysis ◽  
Young People ◽  
Smart City ◽  
Smart Cities ◽  
City Government ◽  
Diagnostic Tools ◽  
City Management ◽  
Bottom Up ◽  
Starting Point ◽  
The City

Young people are important to cities, bringing skills and energy and contributing to economic activity. New technologies have led to the idea of a smart city as a framework for city management. Smart cities are developed from the top-down through government programmes, but also from the bottom-up by residents as technologies facilitate participation in developing new forms of city services. Young people are uniquely positioned to contribute to bottom-up smart city projects. Few diagnostic tools exist to guide city authorities on how to prioritise city service provision. A starting point is to understand how the youth value city services. This study surveys young people in Braamfontein, Johannesburg, and conducts an importance-performance analysis to identify which city services are well regarded and where the city should focus efforts and resources. The results show that Smart city initiatives that would most increase the satisfaction of youths in Braamfontein  include wireless connectivity, tools to track public transport  and  information  on city events. These  results  identify  city services that are valued by young people, highlighting services that young people could participate in providing. The importance-performance analysis can assist the city to direct effort and scarce resources effectively.

scholarly journals Disaster Management in Smart Cities

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 819-839
Author(s):  
Luís B. Elvas ◽  
Bruno Miguel Mataloto ◽  
Ana Lúcia Martins ◽  
João C. Ferreira
Keyword(s):  
Disaster Management ◽  
Smart City ◽  
Smart Cities ◽  
Practical Implication ◽  
Data Availability ◽  
Critical Infrastructures ◽  
Cascading Effects ◽  
Data Driven Approach ◽  
New Research ◽  
The City

The smart city concept, in which data from different systems are available, contains a multitude of critical infrastructures. This data availability opens new research opportunities in the study of the interdependency between those critical infrastructures and cascading effects solutions and focuses on the smart city as a network of critical infrastructures. This paper proposes an integrated resilience system linking interconnected critical infrastructures in a smart city to improve disaster resilience. A data-driven approach is considered, using artificial intelligence and methods to minimize cascading effects and the destruction of failing critical infrastructures and their components (at a city level). The proposed approach allows rapid recovery of infrastructures’ service performance levels after disasters while keeping the coverage of the assessment of risks, prevention, detection, response, and mitigation of consequences. The proposed approach has the originality and the practical implication of providing a decision support system that handles the infrastructures that will support the city disaster management system—make the city prepare, adapt, absorb, respond, and recover from disasters by taking advantage of the interconnections between its various critical infrastructures to increase the overall resilience capacity. The city of Lisbon (Portugal) is used as a case to show the practical application of the approach.

scholarly journals City intelligence for enhancing urban performance value: a conceptual study on data decomposition in smart cities

2021 ◽  
Vol 5 (1) ◽  
pp. 191-222
Author(s):  
Karima Kourtit
Keyword(s):  
Urban Planning ◽  
Urban Policy ◽  
Urban Governance ◽  
Smart Cities ◽  
Urban System ◽  
Current Data ◽  
Urban Life ◽  
Data Decomposition ◽  
Blowing Up ◽  
Technology Age

AbstractThe contemporary ‘digital age’ prompts the need for a re-assessment of urban planning principles and practices. Against the background of current data-rich urban planning, this study seeks to address the question whether an appropriate methodological underpinning can be provided for smart city governance based on a data-driven planning perspective. It posits that the current digital technology age has a drastic impact on city strategies and calls for a multi-faceted perspective on future urban development, termed here the ‘XXQ-principle’ (which seeks to attain the highest possible level of quality for urban life). Heterogeneity in urban objectives and data embodied in the XXQ-principle can be systematically addressed by a process of data decomposition (based on a ‘cascade principle’), so that first, higher-level urban policy domains are equipped with the necessary (‘big’) data provisions, followed by lower-ranking urban governance levels. The conceptual decomposition principle can then be translated into a comprehensive hierarchical model architecture for urban intelligence based on the ‘flying disc’ model, including key performance indicators (KPIs). This new model maps out the socio-economic arena of a complex urban system according to the above cascade system. The design of this urban system architecture and the complex mutual connections between its subsystems is based on the ‘blowing-up’ principle that originates from a methodological deconstruction-reconstruction paradigm in the social sciences. The paper advocates the systematic application of this principle to enhance the performance of smart cities, called the XXQ performance value. This study is not empirical, although it is inspired by a wealth of previous empirical research. It aims to advance conceptual and methodological thinking on principles of smart urban planning.

scholarly journals Formation of “Urban planning” indicators for “Smart City” concept (on the example of SKOLKOVO, Moscow)

2018 ◽  
Vol 170 ◽  
pp. 02021
Author(s):  
Olga Chudiniva ◽  
Marina Afonina
Keyword(s):  
Urban Planning ◽  
Smart City ◽  
Smart Cities ◽  
Objective Assessment ◽  
General System ◽  
Transport Infrastructure ◽  
University Of Technology ◽  
Institute Of Technology ◽  
State Of The Environment ◽  
Comprehensive Study

The development of “Smart Cities” is associated with a comprehensive study of the General system of settlement. The aim of the study is to use the system of indicators for the objective assessment of territories, as well as determining the effect of each part in the overall assessment of the functioning of the «Smart City». The leading method of research is a comparative analysis of international rankings, surveys of experts and a comprehensive study of indicators. The article analyzes the papers of specialists working in the field of research «Smart Cities» and technologies: Mueller, Battarra, Srivastava, Dolgikh etc. The basis for this work were the studies by authoritative rating organizations such as IESE Business School University of Navarra, Vienna University of Technology and Research Institute of technology and communications (NIITC, Russia) which allowed to generalize the available research from the perspective of sustainable development and use them on a concrete example.The authors have adapted the existing groups of indicators in relation to the SKOLKOVO innovation city, Russia. The applied system is represented by 7 groups and 23 indicators, which allow to present the planning aspect of the current urban planning structure with its impact on human capital, transport infrastructure, social cohesion, the state of the environment, etc. The work lets confirm the influence of the selected indicators on the development of SKOLKOVO (Russia) and use the obtained data for the rating of “Smart Cities” adapted for Russia. The materials of the article can be extremely useful in the designing of concepts for the development of territories focused on the use of smart solutions in order to minimize costs in the implementation of new solutions.

scholarly journals Framework for Developing an Information Technology Maturity Model for Smart City Services in Emerging Economies: (FSCE2)

2021 ◽  
Vol 11 (22) ◽  
pp. 10712
Author(s):  
Wilson Nieto Bernal ◽  
Keryn Lorena García Espitaleta
Keyword(s):  
Information Technology ◽  
Emerging Economies ◽  
Smart City ◽  
Smart Cities ◽  
Maturity Model ◽  
It Services ◽  
Implementation Model ◽  
Proposed Model ◽  
The City

The goal of this research is to design a framework to develop an information technology (IT) maturity model to guide the planning, design, and implementation of smart city services. The objectives of the proposed model are to define qualitatively and measure quantitatively the maturity levels for the IT dimensions used by smart cities (IT governance, IT services, data management and infrastructure), and to develop an implementation model that is practical and contextualized to the needs of any territory that wants to create or improve smart city services. The proposed framework consists of three components: a conceptual model of smart city services, IT dimensions and indicators, and IT maturity levels. The framework was validated by applying it to a case study for the evaluation of the IT maturity levels for the city of Cereté, Colombia.

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