scholarly journals Managing a Smart City Integrated Model through Smart Program Management

2020 ◽  
Vol 10 (2) ◽  
pp. 714 ◽  
Author(s):  
Vita Santa Barletta ◽  
Danilo Caivano ◽  
Giovanni Dimauro ◽  
Antonella Nannavecchia ◽  
Michele Scalera

Context. A Smart city is intended as a city able to offer advanced integrated services, based on information and communication technology (ICT) technologies and intelligent (smart) use of urban infrastructures for improving the quality of life of its citizens. This goal is pursued by numerous cities worldwide, through smart projects that should contribute to the realization of an integrated vision capable of harmonizing the technologies used and the services developed in various application domains on which a Smart city operates. However, the current scenario is quite different. The projects carried out are independent of each other, often redundant in the services provided, unable to fully exploit the available technologies and reuse the results already obtained in previous projects. Each project is more like a silo than a brick that contributes to the creation of an integrated vision. Therefore, reference models and managerial practices are needed to bring together the efforts in progress towards a shared, integrated, and intelligent vision of a Smart city. Objective. Given these premises, the goal of this research work is to propose a Smart City Integrated Model together with a Smart Program Management approach for managing the interdependencies between project, strategy, and execution, and investigate the potential benefits that derive from using them. Method. Starting from a Smart city worldwide analysis, the Italian scenario was selected, and we carried out a retrospective analysis on a set of 378 projects belonging to nine different Italian Smart cities. Each project was evaluated according to three different perspectives: application domain transversality, technological depth, and interdependences. Results. The results obtained show that the current scenario is far from being considered “smart” and motivates the adoption of a Smart integrated model and Smart program management in the context of a Smart city. Conclusions. The development of a Smart city requires the use of Smart program management, which may significantly improve the level of integration between the application domain transversality and technological depth.

2021 ◽  
Author(s):  
FARZAN SHENAVARMASOULEH ◽  
Farid Ghareh Mohammadi ◽  
M. Hadi Amini ◽  
Hamid R. Arabnia

<div>A smart city can be seen as a framework, comprised of Information and Communication Technologies (ICT). An intelligent network of connected devices that collect data with their sensors and transmit them using wireless and cloud technologies in order to communicate with other assets in the ecosystem plays a pivotal role in this framework. Maximizing the quality of life of citizens, making better use of available resources, cutting costs, and improving sustainability are the ultimate goals that a smart city is after. Hence, data collected from these connected devices will continuously get thoroughly analyzed to gain better insights into the services that are being offered across the city; with this goal in mind that they can be used to make the whole system more efficient.</div><div>Robots and physical machines are inseparable parts of a smart city. Embodied AI is the field of study that takes a deeper look into these and explores how they can fit into real-world environments. It focuses on learning through interaction with the surrounding environment, as opposed to Internet AI which tries to learn from static datasets. Embodied AI aims to train an agent that can See (Computer Vision), Talk (NLP), Navigate and Interact with its environment (Reinforcement Learning), and Reason (General Intelligence), all at the same time. Autonomous driving cars and personal companions are some of the examples that benefit from Embodied AI nowadays.</div><div>In this paper, we attempt to do a concise review of this field. We will go through its definitions, its characteristics, and its current achievements along with different algorithms, approaches, and solutions that are being used in different components of it (e.g. Vision, NLP, RL). We will then explore all the available simulators and 3D interactable databases that will make the research in this area feasible. Finally, we will address its challenges and identify its potentials for future research.</div>


Author(s):  
Hung Viet NGO ◽  
◽  
Quan LE ◽  

The world’s population is forecasted of having 68% to be urban residents by 2050 while urbanization in the world continues to grow. Along with that phenomenon, there is a global trend towards the creation of smart cities in many countries. Looking at the overview of studies and reports on smart cities, it can be seen that the concept of “smart city” is not clearly defined. Information and communication technology have often been being recognized by the vast majority of agencies, authorities and people when thinking about smart city but the meaning of smart city goes beyond that. Smart city concept should come with the emphasizing on the role of social resources and smart urban governance in the management of urban issues. Therefore, the "smart city" label should refer to the capacity of smart people and smart officials who create smart urban governance solutions for urban problems. The autonomy in smart cities allows its members (whether individuals or the community in general) of the city to participate in governance and management of the city and become active users and that is the picture of e-democracy. E-democracy makes it easier for stakeholders to become more involved in government work and fosters effective governance by using the IT platform of smart city. This approach will be discussed more in this paper.


Author(s):  
Jorge Lanza ◽  
Pablo Sotres ◽  
Luis Sánchez ◽  
Jose Antonio Galache ◽  
Juan Ramón Santana ◽  
...  

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.


2020 ◽  
Vol 12 (10) ◽  
pp. 4030 ◽  
Author(s):  
Negar Noori ◽  
Thomas Hoppe ◽  
Martin de Jong

The emergence of the Internet of Things (IoT) as the new paradigm of Information and Communication Technology (ICT) and rapid changes in technology and urban needs urge cities around the world towards formulating smart city policies. Nevertheless, policy makers, city planners, and practitioners appear to have quite different expectations from what smart cities can offer them. This has led to the emergence of different types of smart cities and pathways of development. This paper aims to answer the research question: When comparing a selection of smart city projects, can we classify pathways for their implementation? We do this by using a cross-case research design of four cities to explore commonalities and differences in development patterns. An input-output (IO) model of smart city development is used to retrieve which design variables are at play and lead to which output. The four cases pertain to the following smart city projects: Smart Dubai, Masdar City, Barcelona Smart City, and Amsterdam Smart City. Our analysis shows that Amsterdam is based on a business-driven approach that puts innovation at its core; for Masdar, technological optimism is the main essence of the pathway; social inclusion is the focus of Barcelona Smart City; and visionary ambitious leadership is the main driver for Smart Dubai. Based on these insights, a classification for smart city development pathways is established. The results of the present study are useful to academic researchers, smart city practitioners, and policy makers.


2020 ◽  
Vol 12 (5) ◽  
pp. 2136 ◽  
Author(s):  
Patrycja Szarek-Iwaniuk ◽  
Adam Senetra

A smart city is one of the latest concepts in the development of modern cities. It has evolved from the foregoing smart cities 1.0 and 2.0 to the smart city 3.0, where members of the local community play the main role as not only the recipients of the introduced changes and modern technology, but also as the creators of urban space. One of the goals of a smart city 3.0 is to promote sustainable urban development by improving the quality of life, enhancing social participation, and involving local community members in planning and decision-making processes. This study set out to determine the role and significance of e-participation methods in the smart city concept. The results of questionnaires exploring the importance of e-participation in urban development are presented. The paper also discusses changes in the availability of information and communication technologies (ICT) in Poland. The secondary goal was to present the geo-questionnaire and Public Participation GIS (PPGIS) as modern research tools. Internet tools based on geoinformation systems have considerable potential for mobilizing social participation in spatial planning (Public Participation GIS). The present study postulates the need for modern social participation methods in shaping urban space and promoting the sustainable development of cities. The study highlights the main challenges in the research process. The cooperation between the authorities and the citizens contributes to the development of a civil society, informed decision-making, social involvement in public life, and more effective governance at the local, regional, and national level. Measures that foster cooperation between the authorities and local communities, the use of information and communication technologies (ICT), and growing social awareness and social participation in managing development are the components of a modern smart city and the building blocks of an e-society. The study also revealed positive changes in access to ICT and their contribution to bridging the digital divide in Poland. Higher levels of social awareness regarding participation and e-participation promote the growth of smart cities.


Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 7000
Author(s):  
Seungmyeong Jeong ◽  
Seongyun Kim ◽  
Jaeho Kim

Like what happened to the Internet of Things (IoT), smart cities have become abundant in our lives as well. One of the smart city definitions commonly used is that smart cities solve city problems to enhance citizens’ life quality and make cities sustainable. From the perspective of information and communication technologies (ICT), we think this can be done by collecting and analyzing data to generate insights. The City Data Hub, which is a standard-based city data platform that has been developed, and a couple of problem-solving examples have been demonstrated. The key elements for smart city platforms have been chosen and they have been included in the core architecture principles and implemented as a platform. It has been proven that standard application programming interfaces (APIs) and common data models with data marketplaces, which are the keys, increase interoperability and guarantee ecosystem extensibility.


2020 ◽  
Vol 16 (4) ◽  
pp. 1225-1258 ◽  
Author(s):  
Ward Ooms ◽  
Marjolein C. J. Caniëls ◽  
Nadine Roijakkers ◽  
Dieudonnee Cobben

Abstract Smart cities use integrated information and communication technology in order to help their citizens and organizations deal with the challenges of urbanization, safety, and sustainability. Smart cities need complex forms of governance involving a great variety of actors. The aim of this study is to illustrate how elements of governance structures in smart city ecosystems evolve over time, and to understand in which way these elements enable or inhibit the success of such ecosystems in different phases of evolution. We draw on the ecosystem literature and the smart city literature to identify governance aspects relevant to projects with multiple stakeholders. We illustrate our framework with extensive empirical evidence from an in-depth single case study of a smart city initiative in The Netherlands. We find that the use of specific governance elements varies across the phases of evolution of the smart city ecosystem. In the initiation phase, governance structures aimed at strengthening the internal relations are key. In this phase, elements such as trust, commitment, and common goals are important as they help to create a common ground. In the growth phase, the ecosystem focuses on establishing external relations with other parties, such as competitors and suppliers. In this phase, governance elements such a co-creation strategy and a dedicated organization for promotion gain importance, as these elements facilitate communication with external parties.


2020 ◽  
Vol 21 (2) ◽  
Author(s):  
Sergey Kirsanov ◽  
Eugene Istomin ◽  
Eva Mihaliková

Smart Cities represent a vital pillar of the modern society and they are influenced by constant development of information and communication technologies. Nowadays we can speak about transition to the third generation Smart Cities featuring complex digital transformation. The presented article introduces The Smart City concepts in Russia and its implementation in St.Petersburg. It highlights the level of the Smart city in Russia, realized and planned projects through selected indexes. The article identifies the problem areas and formulates recommendations leading to the Smart Cities level improvement.


Author(s):  
R. G. G. Alam ◽  
H. Ibrahim

Abstract. The development of information and communication technology has spread throughout the world. Many benefits can be obtained, but the risks cannot be avoided. Communication grows massively in cyberspace and thus poses a security threat to smart city services. This threat can be overcome through national spectrum by implementing cyberspace security strategies in developing smart cities. This paper describes cybersecurity strategies performed in supporting the development of smart cities. Security strategies are developed based on factors related to the perspective of three pillars of smart city implementation models, namely technology, people, and institutions. Factors related to cybersecurity from these three pillars are explored from the experience of policy makers, actors, and users of smart city services, and evaluated using the opinions of cybersecurity experts and smart cities. This strategy will be a standard document that will be used as a reference in carrying out all processes related to information security in supporting the development of smart cities.


2021 ◽  
Author(s):  
M. M. Kamruzzaman

Abstract Smart cities use lightweight security module technologies like sixth-generation (6G) and wireless connections to improve people's quality of life. A smart city can use a networking model to power and monitor many geographically distributed networking models to support various applications like energy and resource management, intelligent transportation systems, and e-health. To manage smart city resources efficiently and intelligently, a significant state architecture must service various technologies due to the enormous development in networking models and the amount of data they generate. This research work presents a smart city networking architecture for smart city environments employing the lightweight security module (SCNM-LSM) in this work in progress article. It first offers a new conceptual framework termed the conventional model for activity off-loading and resource allocation. Second, it enhances the standard model by including off-loading and resource allocation awareness. It expands on the specific research topics to create and study the effectiveness of individual components with the previous models to accommodate technological improvements like the use of Artificial Intelligence (AI) in the sixth generation data transmission technology.


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