Smart City Framework Research Articles

Towards an IoT based secured framework for smart cities

<p>Cities are evolving into smart urban environments, where various devices, technologies, services, connections, blocks, and storage systems are transforming to embrace smart solutions, departing from traditional counterparts. This intricate network of interconnected devices collectively constitutes the Internet of Things (IoT), promising users a life of enhanced convenience. However, this transformation also introduces challenges, particularly in managing loosely linked devices and transmitting information across networks. This study conducts a comprehensive review of the various components contributing to the formation of a smart city, scrutinizing the challenges and factors that influence them. The overarching objective is to identify specific areas within smart cities grappling with cybersecurity challenges and ascertain the relative significance of each area. Data for this research is gathered through questionnaires, expert opinions, and paired comparisons drawn from previous studies, and employs the Fuzzy Analytic Hierarchy Process approach to determine the weight of each factor and sub-factor, subsequently ranking them. Among the nine identified factors, the "Smart Security" factor is the most critical, with a weight of 0.198, signifying its paramount importance. To overcome the security challenges in smart cities, we introduce an advanced secure framework (ARPL) for detecting security threats, using the Routing Protocol for Low Power and Lossy Networks (RPL) as its foundation. The advanced framework is adept at identifying a variety of attacks. Performance assessments of the proposed framework encompass several key parameters, such as ADA, TPR, FPR, and end-to-end delay. The positive outcomes observed strongly endorse the effectiveness of the proposed framework, positioning it as an optimal solution for RPL-based smart environments.</p>

Ageing in a smart city poses concerns on sustainability from a model perspective

Ageing is not formally in the core pillars of Smart City framework under the Sustainable Development Goals of United Nations. Its undermined significance is usually detected under some of these pillars connected with each other. Somehow not many measurements on ageing to positively or negatively influence smart city development are well-defined or in some sense provide solid insights to policy makers. This article tries to guide readers where ageing considerations should be recommended on any stages of smart city development and how research studies should look for or measure these performances and interconnections with no overlooking on ageing aspects.

Major Dimensions of Smart City: A Systematic Literature Review

Numerous smart city frameworks have arisen in recent years as a response to the global urbanization problem. The emergence of frameworks with their distinct dimensions causes confusion in the selection of a framework and the implementation of a smart city. Therefore, more thorough research on the smart city dimension is necessary to build a more comprehensive smart city framework. This study conducted a systematic literature review to find the most prevalent dimension in the subject by examining a collection of 30 papers from five reputable sources that discuss smart city frameworks. A total of 38 smart city dimensions were retrieved from 12 smart city frameworks and 9 smart city maturity models. The 38 dimensions are then categorized according to their similarity. This study results in six main categories of smart city dimensions, including economy, people, environment, government, living, and branding.

Innovative Strategies and Practical Effects of Supply Chain Management of Business Enterprises under the Framework of Smart City

Abstract The change in modern information technology has brought new development opportunities to all walks of life, and the supply chain management mode of industrial and commercial enterprises has gradually shifted from management based on historical experience to management relying on information data. This paper combines the problems of inventory cost optimization and vehicle route scheduling optimization in the supply chain management of industrial and commercial enterprises and develops the supply chain innovation management system of industrial and commercial enterprises under the framework of a smart city. The proposed DES_RSA hybrid encryption method is proposed to ensure the timeliness and security of the information transmission process of the smart supply chain management system. During the interface test of the purchase order paging request, the system test revealed that the supply chain management system had a 0.00% error rate. The results of the application practice of Company H show that after the application of the supply chain innovation management system, the growth rate of Company H’s operating costs continued to decline, the expense margin rose by 8.50% in two years, and the trend of customer satisfaction also shows a significant increase. The application value of the business enterprise supply chain management system designed in this paper is high, which can achieve efficient management of the business enterprise supply chain.

Sustainable urban development in Russia within a green economy framework

The article outlines the author’s proposal for sustainable development in Russian regions, focusing on economic priorities in the context of smart cities and green economy integration. The vision highlights the need for addressing new challenges to ensure ecological and sustainable urban development across Russian territories. Drawing from international examples, the authors pinpoint leading nations and establish key indicators for evaluating sustainable development in regions, emphasizing the significant role of advancing a green economy within smart city frameworks. The article is of interest to specialists in the field of regional and municipal management, for researchers, lecturers, graduate students, undergraduates and students economic and managerial universities.

Expression of Concern for: A Parallel Emission Regulatory Framework for Intelligent Transportation Systems and Smart Cities

Expression of Concern for: A Parallel Emission Regulatory Framework for Intelligent Transportation Systems and Smart Cities

Blockchain Based an Efficient and Secure Privacy Preserved Framework for Smart Cities

Blockchain Based an Efficient and Secure Privacy Preserved Framework for Smart Cities

Geospatial Technology Integration in Smart City Frameworks for Achieving Climate Neutrality by 2050: A Case Study of Limassol Municipality, Cyprus

Geospatial Technology Integration in Smart City Frameworks for Achieving Climate Neutrality by 2050: A Case Study of Limassol Municipality, Cyprus

Analysis Of Readiness For Smart City Implementation In Blora City Indonesia


 
 Smart city is a concept initiated by the forum for the future which is predicted to be able to solve all aspects of problems in the lives of urban communities. The Smart City Framework consists of six aspects, namely Smart Governance, Smart Economy, Smart Branding, Smart Living, Smart Society and Smart Environment. However, this concept is too broad and complex, covers many things and involves many parties who will be involved in its implementation, so it is needed mature concepts and frameworks as a reference in implementation. Apart from that, each city has different problem characteristics, so it is necessary to carry out analytical studies to find out the problems in each aspect of a smart city. This research aims to analyze the readiness for smart city implementation in the city of Blora, Central Java Province, Indonesia. This analysis will be carried out on 6 aspects of smart cities which will be divided into 17 variables. The approach taken is a qualitative method where an assessment of readiness to achieve achievement targets is carried out through interviews. From the analysis that has been carried out, it can be said that the readiness achieved by the City of Blora for Smart City implementation has reached 66.7% so it still really needs to be improved.

Keystones of green smart city—framework, e-waste, and their impact on the environment—a review

Keystones of green smart city—framework, e-waste, and their impact on the environment—a review

Smart Cities and the Integration of Technology in Urban Design: A Comprehensive Analysis

This research paper explores the dynamic intersection of urban design and technology, focusing on the emergence and evolution of smart cities. As urban areas face unprecedented challenges related to population growth, sustainability, and resource management, the integration of advanced technologies offers innovative solutions. This paper delves into the conceptual framework of smart cities, the role of technology in shaping urban environments, and the impact on various aspects of city life. Through an in-depth analysis of case studies and critical evaluations, the research aims to contribute to the understanding of the multifaceted relationship between smart technologies and urban design. Key Words: smart cities, multifaceted, urban design, population growth, advanced technologies.

Comparative review of Smart City from an urban planning perspective in Johor Bahru City and Petaling Jaya City

Smart cities are of great importance globally, and Malaysia recognizes this importance. The Malaysian government has launched various initiatives to encourage the ‘Smart City’ such as the framework (Malaysia Smart City Framework), blueprints, action plans, and standard, the Malaysian Standard for Smart Cities. The outlines the definitions, key principles, and strategies for adopting smart cities in Malaysia’s development. This study aimed to contribute to the understanding of smart city development in Malaysia and provide valuable insights for policymakers, urban planners, and researchers in their efforts to create sustainable and efficient cities. The objective of this study is to compare the approaches and outcomes of smart city development between Johor Bahru City, Johor, and Petaling Jaya City, Selangor. This has analyzed and comprehended the trends in various features of smart city development of the cities. The study found that Johor Bahru City is making more efforts to develop as a smart city through effective governance and strategic planning for short-term and long-term goals same as Petaling Jaya City but focuses more on a one-stop center which promotes community togetherness with the governance. Nevertheless, at the regional level, Johor Bahru City has the Iskandar Malaysia Smart City Framework promoting Sustainable Smart City Vision, followed by the Johor Smart City Blueprint at the state level, and implemented via blueprints at the local authorities, which sets it apart from Petaling Jaya City. Both cities have well-planned smart city initiatives that integrate technology, energy, and the environment, including support for smart city components that suit their needs. Despite facing challenges, the city serves as a model for smart and sustainable development.

Towards Semantic Smart Cities: A Study on the Conceptualization and Implementation of Semantic Context Inference Systems

Smart cities provide integrated management and operation of urban data emerging within a city, supplying the infrastructure for smart city services and resolving various urban challenges. Nevertheless, cities continue to grapple with substantial issues, such as contagious diseases and terrorism, that pose severe financial and human risks. These problems sporadically arise in various locales, and current smart city frameworks lack the capability to autonomously identify and address these issues. The challenge intensifies especially when trying to recognize and respond to unprecedented problems. The primary objective of this research is to predict potential urban issues and support their resolution proactively. To achieve this, our system makes use of semantic reasoning to understand the ongoing situations within the city. In this process, the 5W1H principles serve as inference rules, guiding the extraction and consolidation of context. Firstly, utilizing domain-specific annotation templates, we craft a semantic graph by amalgamating information from various sources available in the city, such as municipal public data and IoT platforms. Subsequently, the system autonomously infers and accumulates contexts of situations occurring in the city using 5W1H-based reasoning. As a result, the accumulated contexts allow for inferring potential urban problems by identifying repeated disruptions in city services at specific times or locations and establishing connections among them. The main contribution of this paper lies in proposing a comprehensive conceptual model for the suggested system and presenting actual implementation cases and applicable use cases. These contributions facilitate awareness among city administrators and citizens within a smart city regarding potential problem-prone areas or times, thereby aiding in the preemptive identification and mitigation of urban challenges.

Implementing integrated digital twin modelling and representation into the Snap4City platform for smart city solutions

Recently, Digital Twins solutions have attracted a growing interest as a fundamental paradigm for managing data driven processes on smart cities. They are complex modelling that should include 3D interactive representations of buildings and infrastructures, integrated with a wide range of data for Smart City cyber-physical ecosystem monitoring and controlling. This paper presents a framework for modelling, generating and distributing Digital Twin representations with 3D models from a various set of data, as well as its integration into the open-source Smart City framework, where many kinds of real time and historical data are available. The proposed solution offers a method for creating integrated data rendering of 3D city entities coupled with Smart City data (e.g., IoT Devices with time-series and historical data, heatmaps, geometries and shapes related to traffic flows, bus routes/stops, cycling paths). The solution for generating 3D representation is based on a number of computer vision and machine learning solutions, thus shortening the activities of passing from raw data (i.e., Lidar, shapes, patterns, etc.) to 3D representations. Implementation has been enforced into the quite widespread open-source Snap4City Smart City platform and has been validated by using hundreds of buildings in Florence city central area, Italy, plus hundreds of thousands of data as points of interest, IoT Devices, traffic flows, dynamic heatmaps, etc.

A machine-learning approach to a mobility policy proposal

The objective of the URBANITE project is to design an open-data, open-source, smart-city framework to enhance the decision-making processes in European cities. The framework's basis is a robust and user-friendly simulation tool that is supplemented with several innovative service modules. One of the modules, a multi-output, machine-learning unit, is deployed on the simulation results, enabling city officials to more effectively analyse vast quantities of data, discern patterns and trends, and so facilitate advanced policy decisions. The city's decision makers define potential city scenarios, key performance indicators, and a utility function, while the module assists in identifying the policy that is best aligned with the stipulated constraints and preferences. One of the main improvements is a speeding up of the policy testing for the decision makers, reducing the time needed for one policy verification from 3 hours to around 10 seconds. The system was evaluated for Bilbao's Moyua area, where it suggested strategies that could result in a decrease in emissions of more than 5% CO2, NOx, PM in the selected area and a broader part of the city with a machine-learning accuracy of 91%. The system was therefore able to provide valuable insights into effective policies for restricting private traffic in specific districts and identifying the most advantageous times for these restrictions.

Mapping synergies and trade-offs between smart city dimensions: A network analysis

Smart cities have emerged to cope with economic and environmental challenges posed by modern-day complex city systems. This study hypothesized that overcoming such challenges with a smart city framework entails a systematic approach to increasing synergies and eliminating trade-offs between different smart city indicators. This study applied network analysis and used data from 33 smart cities worldwide for the period 2005–2019 to ascertain these synergies and trade-offs by introducing a modified framework of smart cities based on the community identification of interconnected smart city drivers. The findings of this study reveal that very few trade-offs exist in the network of smart city indicators compared to the identified synergies. Furthermore, the network statistics show that innovation, business sophistication, ICT infrastructure, and government effectiveness are key drivers of a smart city.

Is a Smart City Framework the Key to Disaster Resilience? A Systematic Review

Despite a growing body of research on the smart city framework for disaster resilience, a comprehensive systematic literature review from urban planning perspectives has never been attempted. In this review of smart and resilient cities, we distill vital learning and shared concepts, identify research trends and limitations, and suggest avenues for future research. The results reveal that reviewed articles primarily focused on methodological approaches addressing how to adapt technologies for disaster resilience, yet rarely discussed the sociological approaches to environment, economy, and governance. This study will provide a reference to trace existing research and suggest equitable smart resilience.

A Critical Review of Smart City Frameworks: New Criteria to Consider When Building Smart City Framework

In the face of persistent challenges posed by urbanization and climate change, the contemporary era has witnessed a growing urgency for urban intelligence and sustainable development. Consequently, a plethora of smart city schedules and policies have emerged, with smart city assessment serving as a pivotal benchmark for gauging policy effectiveness. However, owing to the inherent ambiguity of the smart city definition and the complexity of application scenarios, designers and decision-makers often struggle to ascertain their desired assessment frameworks swiftly and effectively. In this context, our study undertook a comprehensive analysis and comparative assessment of 33 recently introduced or inferred evaluation frameworks, drawn from a broad spectrum of extensive and longstanding research efforts. The overarching goal was to provide valuable reference points for designers and decision-makers navigating this intricate landscape. The assessment was conducted across seven key dimensions: generalizability, comprehensiveness, availability, flexibility, scientific rigor, transparency, and interpretability. These criteria hold the potential not only to guide the development trajectory and focus of upcoming smart city assessment models but also to serve as invaluable guidelines for stakeholders evaluating the outcomes of such models. Furthermore, they can serve as robust support for designers and decision-makers in their pursuit of targeted frameworks.

Reliability-Oriented Planning Framework for Smart Cities: From Interconnected Micro Energy Hubs to Macro Energy Hub Scale

Energy hubs, as the prospect of future energy systems, are efficient and reliable frameworks for the generation, conversion, storage, and consumption of energy in multicarrier energy systems. Existing urban facilities in smart cities (SCs) can be considered as micro energy hubs (MIEHs), whereas the SC itself can be regarded as a macro energy hub incorporating its MIEHs. Moreover, the interconnection of MIEHs is particularly important to achieve high-reliability and economical smart city energy systems (SCESs). This article presents a framework for reliability-oriented expansion planning of multicarrier energy systems in SCESs. The proposed framework tends to improve energy not supplied and customer interruption cost indices for both heat and electrical loads, as well as the energy index of reliability. The proposed multicarrier energy system facilitates interoperability between different energy carrier systems to supply electricity and heat demand simultaneously. The interconnection of MIEHs is modeled through linearized alternating current optimal power flow and natural gas network constraints, whereas full interaction of the electricity and gas networks is realized by the power-to-gas systems and combined heat and power systems. The effectiveness of the proposed mixed-integer linear programming planning model is demonstrated in the Dättwil district (Switzerland) through four scenarios, analyzing the effect of MIEH interconnection, as well as the gas and electricity interaction within an MIEH. Simulation results confirm the effectiveness of the proposed method due to a significant reduction in total investment cost and a considerable improvement in reliability indices.

An Infrastructure Management Humanistic Approach for Smart Cities Development, Evolution, and Sustainability

Over the next decades, people will continue moving to urban areas all over the world, increasing infrastructure needs to satisfy economic, environmental, and social demands. The connection between civil urban infrastructure and smart cities is strong due to the common goal of fulfilling public service demands. Infrastructure management contributes to the development, evolution, and sustainability of smart cities. The main problem with traditional approaches to the development, evolution, and sustainability of smart cities is the lack of a holistic, integrated vision of infrastructure management. The main objective of this research is to introduce an infrastructure management humanistic approach with a smart city conceptual model that also considers an educational perspective. A mixed research methodology that combines quantitative and qualitative approaches was used, applying inductive-deductive tools. The paper concludes with the development of an infrastructure management framework for smart cities with five dimensions: (1) Environmental, (2) financial-economic, (3) political-governance, (4) social-people, and (5) technological. Two case studies for the cities of Lima and Piura in Perú illustrate how to incorporate this framework into practice. The research products are relevant because they foster an inclusive better quality of life for all citizens by preserving civil infrastructure systems.