Smart Cities and Their Missions

2022 ◽  
pp. 151-167

Two major topics are presented in this chapter: the reasons behind adopting the choice of digital transformation into smart city and the challenges that are encountered in doing so. In persistence towards transformation, the smart city concept is explained, with a detailed view of the principles for smart development, sharing a vision for forward actions. The chapter also outlines the types of challenges faced by professionals in developing nations while implementing smart city transformation. It discusses three main types of challenges: strategic, direct, and persistent. As an overview of the transformation process, the chapter discusses the pillars of smart cities development.

2019 ◽  
Vol 24 (1) ◽  
pp. 39-54 ◽  
Author(s):  
Katarina Tomičić Pupek ◽  
Igor Pihir ◽  
Martina Tomičić Furjan

Digital transformation is an emerging trend in developing the way how the work is being done, and it is present in the private and public sector, in all industries and fields of work. Smart cities, as one of the concepts related to digital transformation, is usually seen as a matter of local governments, as it is their responsibility to ensure a better quality of life for the citizens. Some cities have already taken advantages of possibilities offered by the concept of smart cities, creating new values to all stakeholders interacting in the living city ecosystems, thus serving as examples of good practice, while others are still developing and growing on their intentions to become smart. This paper provides a structured literature analysis and investigates key scope, services and technologies related to smart cities and digital transformation as concepts of empowering social and collaboration interactions, in order to identify leading factors in most smart city initiatives.


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.


2021 ◽  
Vol 12 ◽  
Author(s):  
Virginia Barba-Sánchez ◽  
Luis Orozco-Barbosa ◽  
Enrique Arias-Antúnez

Smart City initiatives across the globe have spurred increasing demand for high-skilled workers. The digital transformation, one of the main building blocks of the Smart City movement, is calling for a workforce prepared to develop novel business processes. Problem-solving, critical and analytical thinking are now the essential skills being looked at by employees. The development of the so-called STEM curriculum, Science, Technology, Engineering, and Mathematics is being given a lot of attention by educational boards in response to preparing young generations for the Smart City work market. Based on the IMD Smart City Index, PISA, and World Bank reports, we develop a model for assessing the impact of the IT secondary school capacities on Smart-City business developments. The model reveals the relationship between the technological capacity of the secondary-school, and the business activity of a Smart City. Moreover, the study shows the existence of a positive relationship between the IT capacity of secondary schools and the resulting entrepreneurial activity of the city. Our results are of interest to decision-makers and stakeholders responsible for designing educational policies and agents involved in the digital transformation and development of Smart Cities initiatives.


2022 ◽  
pp. 168-179

Strategies of smart city transformation is the main topic of this chapter. It covers aspects of strategizing and adoption of policies that may facilitate the transformation process and affect the smart city development on both levels: holistic and piecewise implementation. The chapter goes further into strategic planning of developing smart cities, which is identified by three stages: development policy, transformation initiatives, and project planning stage. The chapter introduces the four fundamental tracks of smart cities and analyses reasons for the existence of smart cities. In addition, it covers the different strategies for changes: technological change, social change, industrial change, and policy change with possibilities of using the smart model. Finally, it covers smart city design principles, sustainability, efficiency, resiliency, and others.


2022 ◽  
pp. 214-231

Smart city transformation is a complex operation and comes with critical challenges that this chapter addresses in a strategic manner. The chapter clearly distinguishes between different types of cities. An overview of the most significant and crucial four qualities of smart cities is discussed. An essential part of the chapter is the review of the foundations of technology in smart cities with emphasis on indispensable types of technology such as communications, smart technology, and connectivity infrastructure. The second important part of the chapter is the issue of developing guiding principles to smart city transformation. A discussion of strategies of migration versus transformation of smart cities is followed by a review of the phases of smart cities implementation.


Author(s):  
Khushboo Gupta ◽  
Wenwen Zhang ◽  
Ralph P Hall

With an increasing number of smart cities initiatives in developed as well as developing nations, smart cities are seen as a catalyst for improving the quality of life for city residents. However, current understanding of the risks that may hamper successful implementation of smart city projects remains limited due to inadequate data, especially in developing nations. The recent Smart Cities Mission launched in India provides a unique opportunity to examine the type of risks, their likelihood, and impacts on smart city project implementation by providing risk description data for area-based (small-scale) development and pan-city (large-scale) development projects in the submitted smart city proposals. We used topic modeling and semantic analysis for risk classification, followed by risk likelihood–impact analysis for priority evaluation, and the keyword co-occurrence network method for risk association analysis. The risk classification results identify eight risk categories for both the area-based and pan-city projects, including (a) Financial, (b) Partnership and Resources, (c) Social, (d) Technology, (e) Scheduling and Execution, (f) Institutional, (g) Environmental, and (h) Political. Further, results show risks identified for area-based and pan-city projects differ in terms of risk priority distribution and co-occurrence associations. As a result, different risk mitigation measures need to be adopted to manage smart city projects across scales. Finally, the paper discusses the similarities and differences in risks found in developed and developing nations, resulting in potential mitigation measures for smart city projects in developing nations.


Systems ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Hakan Inac ◽  
Ercan Oztemel

Investing in digital transformation turns out to be a strategic action to tackle contemporary issues and to improve competitiveness for enterprises. The high variability of options in the digital transformation process enforces a higher complexity level in configuring and setting up objectives and goals based on cities’ needs; hence, a systematic approach is required to assist decision makers for better and sustainable transformation. A reference model is described in this paper to support decision makers with comprehensive assessment data for digital transformation cities transport. The proposed reference model assesses the cities based on digital transformation of transport services to assist policy makers for better decisions in transforming the Mobility 4.0. The proposed model in this study functions as a knowledge-based systematic framework for assessing the capabilities of the cities, diagnosing their needs under given circumstances and identifying the best fitting workflow for digital transformation of urban transportation systems and related services. The reference model takes on board a group of smart city indices with respective assessment criteria in determining a smartness level of transportation components. A conceptual 4-tier smartness scale has been proposed to establish a consistent assessment subject to cities circumstances in many respects. The reference model has been formalised into a mathematical model to characterise the assessments. The mathematical model encompasses strategic assessments by experts to identify priorities of investments in the digitalization process, which are aligned with strategic goals and policies of cities’ management.


Author(s):  
Benjamin Grab ◽  
Cristian Ilie

The paper introduces important aspects of doctoral research concerning innovation management in the context of business management challenges posed by digital transformation. The research was conducted as part of the Research Centre of Business Administration in The Bucharest University of Economic Studies, Romania. The study aims to identify and display key components of innovation management – with a primary focus on topics spurred by the recent wave of digital evolution. Against this background, the issue of smart city solutions makes for an interesting case – firstly, because it affects a large number of people and businesses around the globe and secondly, the complexity of the topic forces companies to pursue different innovation management approaches to successfully manage its associated challenges as well as opportunities. The paper consists of an overview on the existing literature and a concise outline of our research. Both researches from professional associations as well as recognized publishers were considered. Furthermore, market data were gathered and processed. More than 50 publications were analyzed to better understand trends in digital transformation and its impact on innovation management. Our research revealed that in the light of the fundamental challenges posed by digitization, companies are required to take a structured approach towards their innovation management options. In the context of smart city solutions, the adoption of the “4I Solutions Model” enables businesses to choose the strategic option suitable to their individual case. Concisely, this framework includes four different approaches ranging from initiating groundwork innovation internally to establishing partnerships with selected external parties.


Sign in / Sign up

Export Citation Format

Share Document