City Infrastructure Research Articles

A comprehensive study of the city's green infrastructure. The case of Yekaterinburg

The subject of the study is green city infrastructure. The content of the concept ‘green infrastructure’ is expounded, and the reasons why the term ‘green infrastructure’ is now mostly used. Special attention is paid to the structural properties of the green infrastructure, in particular to the main element that ensures its sustainability - the green framework. As a case in point, we considered the condition of the green infrastructure framework in the city of Ekaterinburg. Issues around the green infrastructure framework were identified and described regarding its structural properties. Long-term risks arising from the mismatch between the structural properties of the green infrastructure framework and the needs of city development are assessed. The novelty of the study lies in the fact that we used not only the traditional methods such as mapping, graphical analytic technique, and photo surveying, but also new modern approaches such as geo-referenced data, multispectral space images from which different indices are calculated, in particular combinations of images in different channels. The article shows how different indices can be applied and used to analyze green infrastructure. It is concluded that in a number of cases it is the use of geo-referenced data that allows obtaining unique information about the condition of the green infrastructure and the causes of long-term changes occurring in it. All the identified regularities are used to evaluate the design decisions laid down in the general plan of the city to forecast risks and create recommendations that contribute to the sustainable development of green infrastructure.

Наукограды России и проблемы городской среды

The article presents a study of the problems of science cities as key tools for the development of not only Rus-sian socio-economics, with modern technological challenges, but also the training of specialized scientific per-sonnel in universities and qualified engineering specialists in a priority area for each science city, which is im-portant not only for the entire scientific settlement, but for the region and the country as a whole, since at the same time integrity and balance are preserved development of the space of the whole country. The article ana-lyzes the research of 13 science cities with officially assigned status. Uneven territorial distribution of science cities has been revealed – almost all of them are located in the Central Federal District, which increases ine-quality between regions. The article examines the volume of funding for science cities with an emphasis on the uneven distribution of annually allocated funds, as well as a noticeable decrease in funding in recent years. The study focuses on the existing problems in the infrastructure of science cities, which is confirmed by the low quality indicators of the urban environment of individual science cities. The assumption is made about the weakening of state support for science cities and the insufficiency of funds allocated by the federal center for the development of the infrastructure of science cities. Recommendations are given on the need for special attention and comprehensive support of science cities, not only in terms of the development of scientific and industrial complexes and improving the efficiency of its use, but also creating comfortable living and working conditions in them. The practical significance of the study lies in the fact that the results can be used in the preparation of proposals for the development of the urban environment of science cities.

A user perception based approach to derive policy intervention areas for enhancing walkability of cities: Experience in Kerala, India

While walkable pedestrian infrastructure is essential for the sustainable growth of cities, the prevailing facilities in emerging countries such as India are not suitable for pedestrians. A user perception-based approach is presented here to identify intervention areas for enhancing the walkability of cities and also to prioritize catchment areas for improvement. The methodology includes seven stages in which perception data collected from the pedestrians are subjected to fuzzy-based Importance Satisfaction Analysis (ISA). The factor structure and management schemes developed using ISA were instrumental in deriving interventions areas. The study was conducted with reference to a road stretch of 5 km in Kollam District, Kerala, which is classified into five catchments. Among the 17 selected attributes, 12 attributes were identified as intervention areas in a single catchment, which shows the alarming situation of pedestrian infrastructure in Indian cities. The sidewalk related deficiencies were identified as common intervention areas across various catchments. Increased vehicular volume on roads, absence of guard rail, and lack of facilities for differently-abled pedestrians were the other common deficiencies. An index is developed for prioritizing pedestrian catchments. This may be useful, especially for countries with financial constraints, to prioritize the catchments based on the need for improvement. Although the findings are city-specific, the approach and experience presented here are useful for enhancing the walkability of pedestrian infrastructure in other cities.

Building a “reservoir of social resilience:” A strategy for social infrastructure regeneration in shrinking cities based on social network analysis

Northeast China is generally experiencing a shrinkage phenomenon similar to that in other old industrial regions worldwide. Large-scale growth-oriented regeneration programs by the government over the long term have led to the decline of social infrastructure in inner cities, thereby causing a structural crisis at the social level, and exacerbating the negative effects of shrinkage. This study investigated Hegang as a typical shrinking city in northeastern China. Coupling analysis was conducted based on network indexes and two categories of social resilience indexes to identify the key social infrastructure that provides residents with resilience to help cope with shrinkage. Our results demonstrate the centralizing effect of large-scale retail sites, and large green spaces and squares on social resilience. We also found that these categories of social infrastructure had effects across different areas of the city, which then provided social resilience to a wider range of residents. Our results also provide evidence for inequalities in the ability of residents to cope with shrinkage. Based on these findings, we characterize China's urban shrinkage and future development trends, and discuss the limitations of the regeneration model that has long been adopted by local governments. We suggest that local governments should consider incorporating investment in resilience to shrinkage into regeneration policies. They should also consider regenerating social infrastructure and deploying funds to a holistic network to build “reservoirs” of social resilience in shrinking cities. In addition, we highlight our methodological contributions and argue that social resilience monitoring should be integrated into China's urban physical examination framework to enhance dynamic planning and the sustainable regeneration capacity of shrinking urban local governments.

Neutrosophic Set Based Traffic Mechanism Organization

Managing traffic on roads has been a major issue for the transportation industry for a long time. As the number of automobiles continues to rise and new high-capacity road infrastructures in major cities are difficult to implement, reducing this risk has become a challenge for the scientific community. Increased pollution, financial losses, and a general decline in quality of life are all caused in part by traffic congestion. Thus, researchers are being challenged to deal with the difficulty of producing efficient and seamless traffic flow. Decision-making issues in the real world, like those in traffic management, are, nevertheless, constantly riddled with ambiguity and indeterminacy. Researchers have lately sought to employ different neutrosophic ways to handle the traffic congestion problem, and have found that the neutrosophic environment is a useful tool for dealing with these sorts of issues. This article presents a high-level summary of the most current neutrosophic strategies used to manage traffic congestion and other transportation issues. The study's goal is to provide a synopsis of the existing neutrosophic traffic flow difficulties and their development so that future researchers may better distinguish between the primary problems to be managed and identify circumstances to be optimized.

Revealing the mobile sensing powers of semi‐random and deterministic “drive‐by” vehicle fleets

AbstractThe utilization of mobile sensing through the deployment of sensors on third‐party vehicles that pass by an area offers notable benefits in terms of spatiotemporal coverage, precision, timeliness, and cost‐effectiveness for monitoring urban environments. However, the diverse travel behaviors exhibited by different types of vehicle fleets result in varying levels of sensing powers. Drawing inspiration from these phenomena, this study quantifies and compares the travel patterns and sensing powers of bus and taxi fleets. The experimental findings unveiled several noteworthy laws, such as a diminishing rate of increase in sensing power with the stable increasing vehicle number, the high sensing power exhibited by taxis, the comparable spatial coverage between buses, and the relatively low uncertainty associated with buses' sensing power. Furthermore, the impact of travel patterns (i.e., semi‐random behavior of taxis and deterministic behavior of buses) on the powers of mobile sensing was revealed. The aforementioned findings provide valuable insights for the development of efficient mobile sensing schemes and hold significant relevance for the implementation of smart city infrastructure.

Study of Green Infrastructure in European Cities: Opportunities and possibilities

Green infrastructure (GI) is generally defined as a network of natural and semi-natural regions that has been sensitively developed and managed to provide an array of ecosystem services and improve people’s well-being. Across Europe, the notion of GI has had a robust association with the the impacts of climate change, multifunctionality, and green growth; this is especially true over the past ten years, from 2012 to 2022. This has resulted in a broad-based agenda on policy and research with vast differences, targeting a variety of themes and cultures. The systematic review and meta-analysis conducted in this paper present an up-to-date review of the main attributes of GI-related research and the implications for the member states within the European Union (EU). GI-related concepts, thematic clusters, and the main priorities within the research were considered in our review. Due to the ambiguity of the definition of GI, a broad diversity of research goals and published output are discussed. It was also seen that green spaces situated within urban areas and their related ecosystem services are the most common topics in the literature. Based on this, we recommend that an in-depth integration of the goals pertaining to nature conservation be conducted to understand how GI may pertain towards sustainable transitions in and outside the city.

Investigating the Key Aspects of a Smart City through Topic Modeling and Thematic Analysis

In recent years, the emergence of the smart city concept has garnered attention as a promising innovation aimed at addressing the multifactorial challenges arising from the concurrent trends of urban population growth and the climate crisis. In this study, we delve into the multifaceted dimensions of the smart city paradigm to unveil its underlying structure, employing a combination of quantitative and qualitative techniques. To achieve this, we collected textual data from three sources: scientific publication abstracts, news blog posts, and social media entries. For the analysis of this textual data, we introduce an innovative semi-automated methodology that integrates topic modeling and thematic analysis. Our findings highlight the intricate nature of the smart city domain, which necessitates examination from three perspectives: applications, technology, and socio-economic perspective. Through our analysis, we identified ten distinct aspects of the smart city paradigm, encompassing mobility, energy, infrastructure, environment, IoT, data, business, planning and administration, security, and people. When comparing the outcomes across the three diverse datasets, we noted a relative lack of attention within the scientific community towards certain aspects, notably in the realm of business, as well as themes relevant to citizens’ everyday lives, such as food, shopping, and green spaces. This work reveals the underlying thematic structure of the smart city concept to help researchers, practitioners, and public administrators participate effectively in smart city transformation initiatives. Furthermore, it introduces a novel data-driven method for conducting thematic analysis on large text datasets.

RESEARCH OF THE PROCESSES OF MINERALIZATION OF DRINKING WATER BY CERAMIC MINERALIZERS FOR DOMESTIC WATER PURIFICATION SYSTEMS

The role of fresh water in the formation of the state is considered and it is determined that proper management of water resources is a critical component of increasing the standard of living of the population of all countries of the world, both from the point of view of the development of the industrial complex of the state and ensuring the health of the nation. However, the growing level of pollution of water bodies, significant deterioration of the water infrastructure of cities and sometimes the impossibility of restoring it due to active hostilities lead to a significant decrease in the quality of drinking water in Ukraine. An effective solution to this problem is the use of household filtration systems. Among their significant variety, the most widespread are reverse osmosis systems that can effectively purify water from heavy metals, soluble salts of viruses and microorganisms. Their main disadvantage is the extremely low salt content of 1520 mg/l, which requires domineralization up to 200 mg/ml. Existing systems of premineralization of drinking water are characterized by exceeding the limit values of salt content (saline) or instability of the level of mineralization (mineral). That is why the urgent task is the development of innovativemineralizers for drinking water with prolonged action based on non-cost domestic raw materials and the study of mineralization processes. The obtained data on the salt content of the solution after aging with mineralizers made it possible to confirm the assumption of a significant influence of the ratio of the surface area of the mineralizer to the volume of water on the rate of the leaching process. With a ratio of 0.4 cm2/ml, the minimum recommended level ofsalt content is achieved after 7 hours of exposure at a stable pH level (8.158.70). A study of the effect of cyclic water replacement on the level of salt content indicates minor changes in its values when held for one (71.1–79.0 mg/l) and three (136.9–140.3 mg/l) hours, which may indicate prolonged action mineralizer. The total hardness of water after 24 hours of exposure to a mineralizer is 1.55 mmol/l, the concentration of Ca2+ is 19 mg/l and Mg2+ is 7.2 mg/l, whichmeets the requirements of regulatory documents.

Urban form in India 1975–2015: Have India's cities become flat?

We focus on two questions in this paper. First, are Indian cities suburbanizing or is their growth compact? Second, what explains the differences in suburbanization or compact growth across cities and regions? We answer these questions using granular, grid-level data from the Global Human Settlements Layer.We take three approaches to understanding the evolution of urban form. First, we explain changes in population density based on concentric rings around the city centre for 100 cities in India. Second, we use these same data to estimate population density gradients in 1975 and 2015. Finally, we use regressions to test hypotheses about relationships between city characteristics and the density gradient.We find that although cities in India densified within their 1975 city limits, they also expanded outward. We find the negative exponential density function is useful for studying urban form in India. South Indian cities and those in urbanized states sprawled more than their northern and less urbanized counterparts. Both the social conditions of central cities such as the literacy rate and the historical pattern of population suburbanization are statistically significantly associated with suburbanization. This suggests the need for greater investment in public infrastructure in central cities to support compact urban growth.

Simulation of emergency evacuation with crowd-gathering risk and evaluation methods: a case study of the mass rapid transit system in Taipei

ABSTRACT Mass rapid transit (MRT) systems are the backbone of transportation infrastructure in many cities. During emergencies, indoor subway stations become particularly susceptible to panic and overcrowding, making evacuation difficult. Therefore, simulating the evacuation and sheltering processes of a large number of individuals during emergencies is key in urban disaster response. In this study, a spatial evacuation risk model was used to enhance the safety of evacuation strategies in an MRT system. Data were collected on spatial architectural floor plans, and a database for communication and pedestrian flow was established. The behavioral patterns and distribution of individuals within stations and the characteristics of refuge spaces were also investigated. To simulate the processes of evacuation and sheltering, the Pathfinder evacuation simulation tool was used to construct a three-dimensional spatial model of a subway station. Specific scenarios were then constructed to simulate the procedures of evacuation and sheltering. Subsequently, the factors contributing to overcrowding-related hazards were analyzed to examine the spatial risks associated with crowd aggregation and evacuation and provide recommendations for improvement. Given its numerous advantages, this approach can serve as a valuable reference for conducting risk assessments in other large-scale crowd aggregation spaces.

ПРАВОВІ ЗАСАДИ ДЕКАРБОНІЗАЦІЇ ТРАНСПОРТНОЇ СИСТЕМИ МІСТА НА ОСНОВІ РОЗВИТКУ ЕЛЕКТРОМОБІЛЬНОЇ ІНФРАСТРУКТУРИ

The article is devoted to the analysis of the legal support for the transfer of urban passenger transport from automobile to electric vehicle transport, which is necessary for the decarbonization of transport and the sustainable development of the settlement. It is well-founded that road public transport is part of the transport system of Ukraine and the city infrastructure system, and therefore the legal provision of its environmental protection should be implemented on a comprehensive basis. Legal support for the decarbonization of the urban transport system of road transport by encouraging the use of electric vehicles is carried out by norms of different levels (laws and by-laws) and different sectoral orientations. Regulatory and legal acts, that ensure the use of electric vehicles for urban passenger transportation, can be divided into those that: 1) lay the general principles of greening of economic activity and the field of transport; 2) provide stimulation of the development of ecological motor vehicles and the development of electric mobility infrastructure. The Economic Code of Ukraine is a codified act that should lay the foundations for ecologization of economic activity, and therefore it is advisable to enshrine in it the principles of sustainable development and signs of ecological business activity. The business activity of transporting passengers by electric vehicle can be recognized as an ecological business activity, because it will ensure the environmental safety of human life; the use of such transport eliminates such a negative impact on the natural environment as CO2 emissions into the atmosphere; they will have a level of satisfaction of consumer needs no lower than other similar services provided by traditional modes of transport. The changes made to the current legislation in 2021-2023 regarding the stimulation of the use of electric vehicles, although they do not fully meet the requirements of the European Union in the matter of determining the terms of the complete decarbonization of urban transport, are such that will stimulate the development of the electric vehicle infrastructure of the city in the future. Such an economic and legal instrument as the state program on greening transport should become the basis for the systematic introduction of electric transport infrastructure not only within the city, but in Ukraine as a whole. This will correspond to the European development vector of our state. At the same time, approaches that will fully meet the standards of the European Union should be laid down in the regulatory and legal provision of greening of the city's transport infrastructure.

Evaluation Methodology of the Railway Stations Using the AHP Method in the Transport Hubs from the Freight Transport Point of View

Currently, it is necessary to support not only public passenger transport at the expense of individual car transport but also to ensure the modal split of goods from road transport to railway transport. Moreover, it is important to modernize the railway infrastructure, especially hubs and other important railway stations in important settlements and big cities. Therefore, it is necessary to constantly invest in railway lines as well as railway stations. The contribution deals with the determination of the methodology for the evaluation of railway stations in freight transport based on current scientific publications and the AHP method. Its main goal is to determine the size of the peak on the network-railway station on the infrastructure manager’s railway network. One of the benefits is the subsequent determination of the next procedure from the given peak in terms of operation, considering the economic complexity of the entire procedure. The methodology is preceded by an extensive analysis of input data in Slovakia and abroad. This methodology defines the parameters or factors that influence decisions for a particular railway freight station. Subsequently, based on the proposed methodology, a practical application is also developed, within which four railway stations on the ŽSR network are evaluated. In a broader sense, the contribution also points to improving the quality of railway infrastructure in cities.

Public participation in the social sustainability evaluation of smart city infrastructure in the context of big data: a critical review

Purpose The current booming development of smart cities poses new requirements and challenges for their internal infrastructure development. This article aims to explore the questions of: What is the level of social sustainability of smart city infrastructure today? and What are the core contents and paths to improve this level?Design/methodology/approachWith the theme of public participation in the social sustainability evaluation of smart city infrastructure in the context of big data, this study mainly makes a systematic literature review of the Web of Science's Science Citation Index Expanded and Social Sciences Citation Index databases. After collection and screening, 199 documents were finally obtained.FindingsIt is found that the level of social sustainability of smart city infrastructure is still low, and public participation can provide solutions to the difficulties and challenges involved in its development, while big data technology can broaden the channels for public participation and promote the development of smart city-related components in the process, including smart city infrastructure.Originality/valueThis article summarizes the internal mechanisms of smart cities at the theoretical level and analyzes the social sustainable development of smart city infrastructure. In practice, the shortcomings in this field are identified and suggestions are provided on how to carry out digital public participation, which has practical reference value.

THE ADMINISTRATIVE BUILDINGS OF MALY GALAGOV IN UZHHOROD 1919 – 1938.

The paper examines the history of the construction of administrative buildings in the new Maly Galagov quarter of Uzhhorod by the government of the Czechoslovakia Republic during the years 1919–1938. After the incorporation of Subcarpathian Rus into the republic in 1919, the question arose regarding developing the region's capital to become autonomous. Numerous officials and experts from various levels, mainly from the Czech lands, arrived in Uzhhorod to organize the administrative apparatus. The city's infrastructure, including administrative buildings, could not accommodate the newly arrived officials. The existing buildings did not meet modern standards or the capacity required for the city's prospective growth. This prompted the central government to consider the construction of ministry branches and other government buildings within tight deadlines. For this purpose, a non-urbanized territory was selected, which required preliminary preparation for the beginning of construction works. Accordingly, building design was carried out in parallel with constructing other objects and laying roads and municipal communications. As a result, by 1938, eleven administrative and other ministry buildings were erected, which are the subject of this research. The basis for the paper is the materials from the State Archives of the Zakarpattia Region in Berehove, particularly Fund No. 21, «Regional Administration of Subcarpathian Ruthenia, Uzhhorod.» The paper is also supplemented by comparing the situation in the architecture of administrative buildings in the republic's cities, such as Prague, Bratislava, and others, based on information from contemporary and modern sources and literature. The paper includes an analysis of the features of anti-crisis, urban planning, and technical solutions. In this context, the issue of stylistics is not overlooked as one of the factors of state policy identity. Through architecture and urban planning, the vectors and priorities set by the Czechoslovak Republic in the multi-ethnic region, which was then Subcarpathian Ruthenia with its capital in Uzhhorod, can be traced. The article presents material introduced into scientific circulation for the first time. Research into the history of the construction of administrative buildings in Uzhhorod during the interwar period will help outline this issue and provide a basis for research on each highlighted object.

Smart Fire Safety Management System (SFSMS) Connected with Energy Management for Sustainable Service in Smart Building Infrastructures

The scale of human accidents and the resultant damage has increased due to recent large-scale urban (building) fires, meaning there is a need to devise an effective strategy for urban disasters. In the event of a fire, it is difficult to evacuate in the early stages due to the loss of detection function, difficulty in securing visibility, and confusion over evacuation routes. Accordingly, for rapid evacuation and rescue, it is necessary to build a city-level fire safety service and digital system based on smart technology. In addition, both forest and building fires emit a large amount of carbon dioxide, which is the main cause of global warming. Therefore, we need to prepare both energy and fire management to achieve carbon neutrality by 2030. In this study, we developed an AI-based smart fire safety system for efficient urban integrated management using a city-based fire safety architecture. In addition, we designed a fire management infrastructure and an energy management system for buildings. The proposal was demonstrated by building a test bed in the A building, and the AR-based mobile/web application was tested for optimized evacuation management. Furthermore, AI-based fire detection and the optimal evacuation of occupants were implemented through deep learning-based fire information data analysis. As a result, this paper presents four points for safety and energy management, and we demonstrate that the optimization of occupant evacuation ability and energy saving can be achieved. We also analyze the efficiency of the data transfer rate to prevent data communication delays by using Virtual Edge Gateway (VEG) management. In the future, we expect that the appearance of future fire and energy management buildings through this research will produce more accurate data prediction technology and the development of cutting-edge smart technology in smart city infrastructures.

Can We Do More with Less? Analyzing the Organization of Flexibility of Space and Infrastructure at UDCs: A Case Study for Food Center Amsterdam

Background: How can flexible applications of the space and infrastructure of urban distribution centers (UDCs) be organized to help lower demands on space and infrastructure in cities? The application of flexible use of space and infrastructure can improve the efficiency of a UDC, but the challenge lies in the organization of the application of flexibility. Methods: The goal of this research was to identify how flexibility can be organized to impact overall societal benefits for the stakeholders in UDCs. This explorative and qualitative research was applied to the case of Food Center Amsterdam. Results: The results show that stakeholders have a limited understanding of the potential that flexibility can offer; that there is a need for an independent organizing capability and responsibility for collaboration on flexibility; and that a clear way to divide costs, benefits, risks, and opportunities in relation to stakeholder interests is required. Conclusions: Overall, flexibility shows potential to improve the efficient use of infrastructure and space. Further research avenues include the initiation of an organizing capability and distribution method for costs, benefits, risks, and opportunities between stakeholders. The remaining question is, can we get this organized in order to do more with less?

Digital twin modeling for district heating network based on hydraulic resistance identification and heat load prediction

As a vital infrastructure in modern cities, district heating (DH) systems provide stable high-quality heat sources. To satisfy the demands of energy-saving, emission-reduction policies, and user preferences, a high-precision digital simulation platform is essential for district heating network (DHN) scheduling. In this paper, a method for digital twin (DT) modeling based on hydraulic resistance identification using an online adaptive particle swarm optimization (APSO) algorithm is proposed. Additionally, Singular Spectrum Analysis and back propagation artificial neural network algorithms (SSA-BP) are proposed to achieve heat load prediction in order to provide sufficient conditions for DHN scheduling. The load prediction for the substation is completed by predicting the secondary return water temperature at the subsequent time step based on the historical outdoor temperature time series and secondary supply water temperature of the substation. Accordingly, simulation analysis has been conducted on its application to an existing DHN in Tianjin. With the proposed methods, the simulation errors are reduced for about 80 % substations in the case DHN compared to mechanistic models when simulating hydraulic conditions. Among these, 77.49 % of substations were reduced by 0 %–3 %, and 1.43 % of substations were reduced by 3 %–5 %. The prediction errors of secondary return water temperature for case substations A and B exhibit random variation trends, with maximum absolute errors within the range of 0.02 °C and 0.06 °C, respectively.

On the ratio of the main agricultural sectors in the urban economy of the Principality of Moldavia (the end of the 16th century – beginning of the 18th century)

The article considers the ratio of the leading agricultural sectors in the economic structure of Moldavian cities in the period from the end of the 16th century to the beginning of the 18th century. The study attempts to systematise the available historical material (various sources of that era) based on the mathematical method and mathematical modelling tools. The results of the study confirm the well-established facts that agricultural and trade and handicraft activities were basic in the urban economic infrastructure and were closely interconnected. The dominance of the agrarian factor in urban life and the semi-agrarian nature of the towns of the Principality of Moldavia contributed to significant functional changes in the evolution of the economic infrastructure of towns and cities, the formation of the urban market, trade and market relations, craft formations, and so on for the following centuries.

A Deep Learning Approach for Securing IoT Infrastructure with Emphasis on Smart Vertical Networks

As a result of the Internet of Things (IoT), smart city infrastructure has been able to advance, enhancing efficiency and enabling remote management. Despite this, this interconnectivity poses significant security and privacy concerns, as cyberthreats are rapidly adapting to exploit IoT vulnerabilities. In order to safeguard privacy and ensure secure IoT operations, robust security strategies are necessary. To detect anomalies effectively, intrusion detection systems (IDSs) must employ sophisticated algorithms capable of handling complex and voluminous datasets. A novel approach to IoT security is presented in this paper, which focuses on safeguarding smart vertical networks (SVNs) integral to sector-specific IoT implementations. It is proposed that a deep learning-based method employing a stacking deep ensemble model be used, selected for its superior performance in managing large datasets and its ability to learn intricate patterns indicative of cyberattacks. Experimental results indicate that the model is exceptionally accurate in identifying cyberthreats, exceeding other models, with a 99.8% detection rate for the ToN-IoT dataset and 99.6% for the InSDN dataset. The paper aims not only to introduce a robust algorithm for IoT security, but also to demonstrate its efficacy through comprehensive testing. We selected a deep learning ensemble model due to its proven track record in similar applications and its ability to maintain the integrity of IoT systems in smart cities.