scholarly journals Appraisal of the drivers of smart city development in South Africa

2020 ◽  
Vol 20 (2) ◽  
Author(s):  
Ayodeji Emmanuel Oke ◽  
Douglas O. Aghimien ◽  
Clinton O. Aigbavboa ◽  
Opeoluwa I. Akinradewo

The quest for smart cities and development has been on the increase among infrastructural development stakeholders, including clients, government agencies responsible for the management of infrastructures, construction professionals, sponsors, and financiers of these projects. However, studies around the world have shown that less attention is being paid by these stakeholders to various indices and measures of smart cities. These measures and indices, known as drivers, are smart environment, smart economy, smart people, smart governance, smart mobility, and smart living. Using these drivers and their indicators, a multiple-choice questionnaire was designed in line with existing and relevant literature materials in the subject area. These questionnaires were administered on construction professionals with relevant and adequate knowledge of smart construction. Smart environment was found to be a major driver of a smart city while smart people, smart governance and smart living are also key to the achievement of the goals and objectives of the concept. The developed key smart city drivers are a workable, adaptable and efficient city design mechanism and it will be useful for city planners, statutory agencies as well other stakeholders in the development of smart cities.

2020 ◽  
Vol 15 (1) ◽  
pp. 59-74
Author(s):  
Nisrina Meitibellina ◽  
Puji Hariyanti

This study discusses the communication strategy carried out by Blora Regency Government in the program of the Ministry of Communication and Information, namely Gerakan Menuju Smart City 2018. There are two statements in this research is how the communication strategy carried out by Blora Regency Government towards smart city and the factors that are driving and inhibiting it.The results obtained from Gerakan Menuju 100 Smart City program in Blora Regency are based on a predetermined policy in the form of the RPJMD and the Decree of the Regent. Then proceed with analyzing problems related to city problems to create the concept of smart city that requires 3 elements namely structure, infrastructure and superstructure. The targets for this program are all OPD’s and the Blora community. The use of various media for socialization which then its implementation refers to the 2018 smart city master plan and ends with monitoring and evaluation every 2 times a year. There are 6 dimensions of the concept of smart city along with several activities in it that are used in Blora Regency, namely smart governance, smart branding, smart economy, smart living, smart society and smart environment


Sebatik ◽  
2018 ◽  
Vol 22 (2) ◽  
pp. 219-225
Author(s):  
Indah Fitri Astuti ◽  
Dedy Cahyadi

Kabupaten Kutai Kartanegara di provinsi Kalimantan Timur adalah salah satu dari 25 kabupaten/kota yang mendapat kesempatan untuk mulai mengembangkan Gerakan 100 Smart City yang dicanangkan pada Smart City Summit 2017 di Makassar. Rencana Pembangunan Jangka Menengah Daerah (RJPMD) 2016-2021 kemudian memuat perencanaan pembangunan Samrt City yang disepakati dengan istilah Smart Regency Kutai Kartanegara dengan visi terwujudnya masyarakat kabupaten Kutai Kartanegara yang cerdas dengan sektor pertanian dan pariwisata sebagai penggerak utama yang didukung oleh teknologi informasi. Tujuan penelitian ini adalah untuk menyusun analisis Smart Regency Kutai Kartanegara. Metode analisis Smart Regency Kutai Kartanegara disusun dengan menggunakan pendekatan kerangka kerja Citiasia. Model Citiasia mempromosikan kemajuan bangsa dengan menyediakan solusi kota pintar yang menggabungkan model yang akurat dan kuat dengan dukungan teknologi canggih dan mudah digunakan. Terdapat enam aspek cerdas yang akan dianalisis dan dibangun, yaitu smart governance, smart branding, smart economy, smart living, smart society, dan smart environment.  Penelitian menghasilkan dokumen analisis Smart Regency yang telah dilengkapi dengan analisis gap antar aspek cerdas, analisis pembangunan Smart Regency, sasaran, arah kebijakan, dan analisis kesiapan daerah.


Author(s):  
Somayya Madakam

The word “Smart Cities” is the new buzzword in every corner of the world. Many countries across the continents are trying to plant new smart cities or in the conversion process of existing cities. Bali (Indonesia) also seems to be in a conversion process of its Brown Field Cities. This research manuscript attempts to explore the Bali (Island) as a Smart Island regarding Smart Environment, Smart Economy, Smart Governance, Smart Mobility, Smart Living and Smart People dimensional perspective. This research manuscript has adopted a triangulation method for thematic narration since the study is qualitative and case study. The study explored that still Bali/Balinese cities is/are still baby stepping of smart cities plantations. There needs to be lot of work has to be done to become Smart Bali Island. The findings will help the Bali government to understand how far they could become full-fledged Smart Island by providing the Quality of Life to citizens and economic development of Bali


2021 ◽  
Vol 8 (2) ◽  
pp. 205395172110451
Author(s):  
Jelena Große-Bley ◽  
Genia Kostka

Chinese cities are increasingly using digital technologies to address urban problems and govern society. However, little is known about how this digital transition has been implemented. This study explores the introduction of digital governance in Shenzhen, one of China's most advanced smart cities. We show that, at the local level, the successful implementation of digital systems faces numerous hurdles in long-standing data management and bureaucratic practices that are at least as challenging as the technical problems. Furthermore, the study finds that the digital systems in Shenzhen entail a creeping centralisation of data that potentially turns lower administrative government units into mere users of the city-level smart platforms rather than being in control of their own data resources. Smart city development and big data ambitions thereby imply shifting stakeholder relations at the local level and also pull non-governmental stakeholders, such as information technology companies and research institutions, closer to new data flows and smart governance systems. The findings add to the discussion of big data-driven smart systems and their implications for governance processes in an authoritarian context.


2021 ◽  
Vol 11 (1) ◽  
pp. 64-76
Author(s):  
Milan Popović ◽  
Borko Rajović

The focus of this paper is on examination of the impact of the Industry 4.0 on smart city development and changes in society due to the diffusion of innovations and modern technologies in all segments of living. From the preconditions for the beginning of the Industry 4.0, followed by the most important achievement that marked it, to the way changes are manifested due to the wide use of smart devices and software, the paper provides a clear overview of effects achieved over the past few decades of technological progress. Furthermore, based on the data available in the current and relevant literature, the role of the Industry 4.0 in the development of smart cities is studied, and the most important elements of it that support smart city development are determined. In this way, conditions are created for an extensive analysis of the motives, factors and forms of smart city development, with priority given to the social dimension of smart solutions and their implementation in everyday living. After having a complete insight into the features of smart cities and key elements of development, an overview of perspectives and expectations in the field of improving the quality of living in the urban environment by implementation of smart solutions, i.e. devices, software and applications, is provided. Finally, based on previously conducted analyses, conclusions are made on further courses of action in the field of smart city development.


2017 ◽  
Vol 13 (1) ◽  
pp. 9-20 ◽  
Author(s):  
Jorge A. Parra Valencia ◽  
Cesar D. Guerrero ◽  
Dewar Rico Bautista

Se contextualiza desde el Internet de las Cosas y su vital importancia para las Smart Cities y el concepto emergente de Smart University. Estos últimos con sus características: Smart Governance, Smart People, Smart Living, Smart Mobility, Smart Economy y Smart Environment.  El propósito de este artículo es presentar una revisión sistemática de literatura sobre el concepto y las características de las Universidades inteligentes publicados en la literatura científica, a partir de los cuales se hace énfasis en el rol de IoT, como un elemento fundamental en la concepción e implementación de proyectos e iniciativas que inciden en el desarrollo exitoso de las Universidades.


2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Raden Agung Pradhana Rusdian ◽  
Agung Budi Prasetyo

The City of Bogor began to develop programs related to Smart City so that city management could run more easily with the help of technology. Bogor City made 6 dimensions in Smart City namely Smart Governance, Smart Branding, Smart Economy, Smart Living, Smart Society, and Smart Environment. One of the Offices related to the construction of the Bogor City Smart City is the Office of Communication and Information, Bogor City Encoding or commonly called Diskominfo. One of the developments is to make a media marker about tourist attractions, namely thematic creative villages. But the media is not enough to make people more interested and want to find out more deeply. That way, this navigation application is needed to complement the information media to be more interactive and have more value. The advantage of this application is that it can bring up virtual panoramic objects and also a location map that makes it easy for tourists to know the location to be addressed. This application is designed for Android-based Smartphones with a minimum specification KitKat.


2018 ◽  
Vol 1 (2) ◽  
pp. 12-19
Author(s):  
Rini Rachmawati

Dewasa ini berbagai kota di Indonesia maupun di negara lain sedang giat menuju pencapaian Smart City. Pencapaian Smart City acapkali dilakukan secara general untuk dapat mencapai seluruh dimensi smart, baik itu smart governance, smart living, smart people, smart environment, smart economy dan lainnya. Sementara itu tidak seluruh wilayah memiliki karakteristik sebagai kota (city). Wilayah kabupaten (regency) terdiri atas kawasan perkotaan dan perdesaaan sehingga hanya bagian dari kawasan perkotaan saja yang dapat dikembangkan dengan menggunakan konsep Smart City. Sementara itu bagian kawasan perdesaan memiliki pendekatan yang berbeda untuk dapat dijadikan sebagai daerah yang smart. Lebih jauh paper ini akan mendiskusikan tentang komponen-komponen apa yang diperlukan didalam mengambangkan Smart Village sebagai penguatan dari Smart City dan Smart Regency. 


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammed Anouar Naoui ◽  
Brahim Lejdel ◽  
Mouloud Ayad ◽  
Abdelfattah Amamra ◽  
Okba kazar

PurposeThe purpose of this paper is to propose a distributed deep learning architecture for smart cities in big data systems.Design/methodology/approachWe have proposed an architectural multilayer to describe the distributed deep learning for smart cities in big data systems. The components of our system are Smart city layer, big data layer, and deep learning layer. The Smart city layer responsible for the question of Smart city components, its Internet of things, sensors and effectors, and its integration in the system, big data layer concerns data characteristics 10, and its distribution over the system. The deep learning layer is the model of our system. It is responsible for data analysis.FindingsWe apply our proposed architecture in a Smart environment and Smart energy. 10; In a Smart environment, we study the Toluene forecasting in Madrid Smart city. For Smart energy, we study wind energy foresting in Australia. Our proposed architecture can reduce the time of execution and improve the deep learning model, such as Long Term Short Memory10;.Research limitations/implicationsThis research needs the application of other deep learning models, such as convolution neuronal network and autoencoder.Practical implicationsFindings of the research will be helpful in Smart city architecture. It can provide a clear view into a Smart city, data storage, and data analysis. The 10; Toluene forecasting in a Smart environment can help the decision-maker to ensure environmental safety. The Smart energy of our proposed model can give a clear prediction of power generation.Originality/valueThe findings of this study are expected to contribute valuable information to decision-makers for a better understanding of the key to Smart city architecture. Its relation with data storage, processing, and data analysis.


Author(s):  
Makeri Yakubu Ajiji ◽  
Xi’an Jiaotong Victor Chang ◽  
Targio Hashem Ibrahim Abaker ◽  
Uzorka Afam ◽  
T Cirella Giuseppe

Today the world is becoming connected. The number of devices that are connected are increasing day by day. Many studies reveal that about 50 billion devices would be connected by 2020 indicating that Internet of things have a very big role to play in the future to come Considering the perplexing engineering of Smart City conditions, it ought not to be failed to remember that their establishment lies in correspondence advancements that permit availability and information move between the components in Smart City conditions. Remote interchanges with their capacities speak to Smart City empowering advancements that give the open door for their fast and effective execution and extension as well. The gigantic weight towards the proficient city the board has triggered various Smart City activities by both government and private area businesses to put resources into Information and Communication Technologies to discover feasible answers for the assorted chances and difficulties (e.g., waste the executives). A few specialists have endeavored to characterize a lot of shrewd urban areas and afterward recognize openings and difficulties in building brilliant urban communities. This short article likewise expresses the progressing movement of the Internet of Things and its relationship to keen urban communities. Advancement in ICT and data sharing innovation are the drivers of keen city degree and scale. This quick development is changing brilliant city development with the beginning of the Internet of Things (IoT). This transformation additionally speaks to difficulties in building (Kehua, Li, and Fu ,Su et al.1). By knowing the attributes of specific advances, the experts will have the occasion to create proficient, practical, and adaptable Smart City frameworks by actualizing the most reasonable one.


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