Sustainable Urban Environment Research Articles

Evaluating thermal comfort in a vascular interventional radiology laboratory: Utilizing an onsite measurement approach

A vascular interventional radiology (VIR) laboratory is a specialized medical environment designed for diagnostic and therapeutic procedures focused on blood vessels. In this facility, healthcare practitioners employ diverse imaging technologies such as fluoroscopy and angiography to visualize blood vessels and conduct minimally invasive interventions. This research examines the thermal comfort within a VIR laboratory through the field measurements. Assessing thermal comfort in a VIR laboratory supports Sustainable Development Goals (SDGs) by enhancing the welfare and working conditions in the healthcare settings (SDG 3 and SDG 9). This effort also aligns with SDG 11 by advocating for sustainable urban environments through the optimization of indoor environmental conditions. The gathered data brings to light notable disparities in air temperature, relative humidity, and air velocity, underscoring the absence of homogeneity in the laboratory setting. It's evident that 67% of the spaces within the VIR laboratory will induce a "cool" sensation among medical staff members in standby mode, with the remaining 33% causing a "slightly cool" sensation. Both the Predicted Percentage of Dissatisfied (PPD) and Predicted Mean Vote (PMV) indices for thermal comfort deviate from the established ASHRAE 55 standard, emphasizing the considerable hurdles in achieving the desired thermal conditions. By integrating findings from this study into policy frameworks, stakeholders can prioritize investments in infrastructure and technology aimed at enhancing thermal comfort standards in healthcare facilities. This proactive approach not only fosters a conducive environment for medical procedures but also advances progress towards achieving key SDGs.

AI-Driven Urban Planning: Enhancing Efficiency and Sustainability in Smart Cities

Urban planning in smart cities is increasingly leveraging artificial intelligence (AI) to enhance efficiency and sustainability. This article explores the integration of AI-driven technologies to optimize various aspects of urban development and management. Smart cities are characterized by their use of advanced technologies to improve quality of life, resource management, and infrastructure efficiency. Traditional urban planning methods often face challenges in adapting to rapid urbanization and dynamic environmental changes. AI presents opportunities to address these challenges by providing data-driven insights and predictive capabilities. This research employs a case study approach, analyzing the implementation of AI in urban planning processes across several smart cities globally. Key methodologies include data analytics, machine learning algorithms, and predictive modeling techniques applied to diverse urban datasets. The study evaluates how AI-driven decision support systems aid in infrastructure planning, traffic management, energy consumption optimization, and environmental sustainability. The findings demonstrate that AI-enabled urban planning significantly enhances efficiency and sustainability in smart cities. AI algorithms optimize traffic flow, reduce energy consumption through predictive maintenance of infrastructure, and facilitate adaptive urban design based on real-time data analytics. Moreover, AI-driven approaches improve decision-making processes by providing stakeholders with actionable insights for informed policy formulation and resource allocation. This article contributes to the evolving field of smart city technologies by showcasing the transformative potential of AI in urban planning. By harnessing AI capabilities, cities can effectively address complex urban challenges and pave the way for more resilient and sustainable urban environments.

Integrating vertical greenery for complex building patterns towards sustainable urban environment

Rapid urbanization has increased the urban density and functional diversity, exacerbating environmental challenges such as urban heat islands (UHI), increased building energy consumption and carbon emissions, etc., hindering the sustainable urban development. Addressing these challenges requires innovative solutions that could offer the strategic cooling of urban buildings. Vertical greenery, affixed to building façades, offers a promising approach to provide benefits of cooling, energy savings, carbon reduction and urban space saving. However, there is a lack of quantitative design for integrating vertical greenery into complex urban buildings. Therefore, this study conducts a systematic investigation for low-rise, mid-rise, and high-rise buildings incorporating vertical greenery, while performing comprehensive assessments on indoor and outdoor thermal conditions, building energy usage, and carbon emissions. The findings suggest that low-rise buildings benefit from a vertical greenery layout, while mid-rise and high-rise buildings are better suited for a horizontal greenery layout. Compared to scenarios without greenery, buildings with vertical greenery experience a maximum reduction of 0.66 °C in outdoor air temperature and 0.72 °C in indoor air temperature, along with a 5.9 % decrease in energy consumption and carbon emissions. This study addresses urban challenges through a quantified vertical greenery design, offering valuable insights for sustainable urban development.

Optimizing urban park locations with addressing environmental justice in park access and utilization by using dynamic demographic features derived from mobile phone data

Urban parks play a critical role in improving the quality of life of local residents and creating sustainable and resilient urban environments. As urban parks are essential public services, it is important that they be accessible, sufficient, and of high quality so all city residents can access and benefit from them to advocate environmental justice. To make park services more equitable, it is crucial to evaluate the distribution and quality of existing urban parks and consider potential locations for new urban parks, in terms of both park access and utilization. By adopting a new type of dynamic population data based on mobile phone-based tracking, we assessed urban park access by vulnerable populations, particularly economically marginalized older adults, and employed dynamic demographic features and neighboring environmental features of existing urban parks and park candidate sites to estimate park utilization. Ultimately, we developed an advanced multi-objective location optimization model considering park access, utilization, and construction cost. The three objectives of maximizing utilization of the candidate sites when urban parks are established, maximizing the number of vulnerable people who can be covered by the urban parks, and minimizing the total establishment cost for the urban parks were optimized in locating urban parks among candidate sites. The proposed methodology was validated with an application to Ulsan Metropolitan City in the Republic of Korea.

Urban Traffic Mobility Optimization Model: A Novel Mathematical Approach for Predictive Urban Traffic Analysis

This research introduces the Urban Traffic Mobility Optimization Model (UTMOM), a data-driven methodology for analyzing two distinctive urban traffic datasets through the integration of data mining and mathematical modeling. Designed to decode the complexities of urban mobility patterns, UTMOM meticulously evaluates daily traffic dynamics with a focus on reducing discrepancies and underscoring variations in traffic intensity, particularly during peak times. Our findings unveil pivotal insights into the differences across datasets, providing a substantial contribution to the realms of traffic management and urban planning. UTMOM delves into the intricacies of traffic flow variations, emphasizing the critical importance of comprehending fluctuations in traffic volume across diverse times and locations. By incorporating detailed graphical representations and statistical validations, including ANOVA analysis, our study delivers a comprehensive evaluation of UTMOM’s precision in reflecting real-world traffic scenarios. These insights affirm the value of data-informed strategies in optimizing traffic flow and alleviating congestion. Positioned as a valuable asset for traffic engineers, data scientists, and urban planners, UTMOM advocates for advanced modeling techniques to improve urban mobility. Beyond enriching academic discourse on traffic analysis, UTMOM offers actionable intelligence for enhancing the efficiency and sustainability of urban transportation systems. Through this in-depth investigation, our aim is to catalyze the development of innovative solutions to traffic challenges, steering towards smoother and more sustainable urban environments.

Low-Cost IoT Air Quality Monitoring Station Using Cloud Platform and Blockchain Technology

Air pollution is a growing concern due to severe threats to public health and the environment. The need for reliable air quality monitoring solutions has never been more critical. This research paper introduces an innovative approach to addressing this challenge by deploying a low-cost Internet of Things (IoT) air monitoring station and providing a blockchain technology solution to enhance environmental data transparency, reliability, and accessibility. Our paper adopts a concept of merging IoT and blockchain technologies and collecting some parameters that help to assess air quality by using three sensors, DHT11, MQ7, and MQ135, to collect temperature, humidity, carbon monoxide, and carbon dioxide parameters, respectively, to measure the gases and thus indicate the air quality within the surrounding area. Collecting and sharing these types of valuable data will be very important for various stakeholders, such as governmental bodies, researchers, and the public. This approach is consistent with the principles of sustainable development, facilitating informed decision-making and promoting eco-friendly policies. This research explores the technical architecture of the IoT air monitoring stations, offering a promising solution for addressing air pollution concerns while promoting sustainable development goals. The proposed system is a model for leveraging emerging technologies to advance environmental monitoring and create smarter, livable cities. This approach aligns with the principles of sustainable development and eco-friendly initiatives. This research offers a promising model for enhancing environmental monitoring efforts and advancing the creation of smarter, more sustainable urban environments. The proposed IoT, cloud platform and blockchain-based system not only addresses pressing air pollution challenges but also sets a benchmark for leveraging emerging technologies in environmental science.

Enhancing urban livability: Analyzing Tehran through equitable land use distribution

Urban livability, a concept integral to human settlements, lacks a universally agreed-upon definition. It encompasses various aspects influencing the attractiveness and quality of life in a city. The research adopts an objective evaluation method, focusing on equitable access to urban services. The study aims to address these challenges by examining the livability of Tehran's 22 districts, emphasizing access to essential services. Employing a comprehensive methodology, the research utilizes analytical tools such as Standard Deviational Ellipse analysis (SDE), Average Nearest Neighbor (ANN), and the Multi-Attributive Border Approximation area Comparison (MABAC) technique. The spatial distribution analysis of urban land uses in Tehran reveals distinct patterns through Standard Deviational Ellipse analysis. Urban land uses exhibit directional orientations and concentrations, providing valuable insights for urban planning. Average Nearest Neighbor analysis indicates clustered distribution across various land uses, emphasizing the need for targeted interventions. The study ranks Tehran's districts based on livability using MABAC technique. District 21 emerges as the most livable, while District 10 faces challenges in service distribution. The findings highlight disparities and call for focused urban planning to enhance overall livability in Tehran, recognizing the importance of equitable access to urban services for a sustainable and cohesive urban environment.

Shrinking Green Footprint in Future Urbanism: Urban Green Space Analysis and Monitoring Using Remote Sensing Data

The rapid expansion of urbanization globally, has resulted in gradual disappearance of green spaces, threatening the quality of urban life and environmental sustainability. Conventional methods like Field Surveys, Aerial Photography and Satellite Imagery, fail to capture real-time data for effective urban planning and management. This study explores innovative solutions, harnessing remote sensing and GIS technology, to combat the diminishing urban green footprints. Through effective integration of these tools, we aim for precise urban green space assessments, tracking transformations and empowering planners. Thereby, promising substantial green space preservation, to enhance urban resilience. This research connects remote sensing, GIS and architecture/planning, empowering decision-makers with timely insights. This study investigates three cases of diverse urban landscapes - Bangalore, Singapore and Abu Dhabi, to ensure the applicability and versatility of the proposed solution in varied urban contexts. This study concludes with a focus on policy proposals and minor interventions, to facilitate sustainable urban growth.

Exploring the Application of Digital Twin Technology in the Energy Sector using MEREC and MAIRCA Methods

Smart city sustainability initiatives prioritize creating environmentally, economically, and socially sustainable urban environments. Digital Twin (DT) technology creates precise digital replicas of physical assets, systems, or processes. These digital twins play a crucial role in advancing the goals of smart city sustainability. This paper explores the development and application of DT technology for integrated regional energy systems in smart cities, emphasizing its potential to optimize energy consumption, reduce costs, and enhance overall system performance. The CloudIEPS platform, an energy internet planning platform based on digital twin technology, is a great example of how digital twin technology can be applied in practice, helping optimize energy efficiency and reduce costs. Integrating digital twin technology with the Multi-Criteria Decision-Making (MCDM) methods offers a novel approach to managing and optimizing energy systems in smart cities. The paper aims to create a consistent and robust approach to determining the best digital twin solution for energy systems in smart cities. The paper identifies critical factors for decision-making and establishes a method for assessing the significance of criteria using Triangular Neutrosophic Sets (TNS) through the MEthod based on Removal Effects of Criteria (MEREC) and the Multi-Attributive Ideal Real Comparative Analysis (MAIRCA) approach. These methods are used to evaluate and prioritize multiple criteria in decision-making processes. Furthermore, the methods are combined with Triangular Neutrosophic Sets (TNS) to support decision-making for smart cities' energy systems, better accounting for the complex and uncertain nature of energy systems. A case study is conducted to apply and validate the developed methodology and perform a sensitivity analysis of the experimental results. The research outcomes indicated that the proposed methodology is robust and effective in handling the uncertainty and complexity inherent in smart cities' energy systems. The sensitivity analysis further confirms the stability and adaptability of the proposed methodology across different scenarios, making it a valuable tool for policymakers and stakeholders in the energy sector.

Urban Metamorphosis: Enhancing Imageability through Vertical Hybrids

To create a vertical ecosystem of hybrid urban forms to enhance imageability. This paper proposes a transformativeapproach to elevate the imageability of cities through a fusion of innovative urban forms, vertical ecosystems, andsustainability principles. Drawing inspiration from theories of vertical urbanism and universal design, the researchemphasizes the strategic utilization of vertical space to optimize land use in densely populated areas. The approachstrategically suggests constructing new high-rises on existing risk-prone structures slated for demolition. The designincorporates an elevated green area functioning as a recreational zone, fostering a healthier and more sustainable urbanenvironment. The paper emphasizes Transit-Oriented Development in the design process, aiming to integrate publictransportation with urban development to reduce private vehicle dependency, promote sustainable mobility, and enhanceaccessibility. The objective is to craft a dynamic urban experience that encourages connectivity and a sense of belongingwithin the existing fabric.

Geo-information systems in urban planning: A review of business and environmental implications

In an era where urban landscapes are rapidly evolving, the integration of Geographic Information Systems (GIS) in urban planning emerges as a pivotal tool for sustainable development. This paper delves into the multifaceted role of GIS, exploring its implications in the realms of business and environmental sustainability within urban contexts. The background of the study is rooted in the increasing complexity of urban challenges and the need for innovative solutions to address them effectively. The aim of this paper is to provide a comprehensive analysis of GIS applications in urban planning, focusing on their impact on both business efficiency and environmental stewardship. The scope of the study encompasses an exploration of the historical evolution of GIS, its integration in various urban settings, and the interplay between commercial objectives and environmental sustainability. Employing a methodological framework that includes a thorough review of relevant literature and case studies, the study illuminates the dynamic interplay between technological advancements in GIS and their practical applications in urban planning. This approach facilitates a panoramic view of GIS's multifarious implications, highlighting trends, patterns, and impacts of its adoption in diverse urban scenarios. The main conclusions reveal that GIS is indispensable in modern urban development, adeptly addressing complex urban challenges, particularly in sustainable planning and balancing economic growth with environmental protection. However, the study also uncovers challenges such as the need for improved database construction and comprehensive information services. Recommendations include tailoring policies to local contexts, focusing on multi-scalar GIS-based indicators, and prioritizing sustainable development goals. These strategies are crucial for enhancing the efficacy of GIS in urban planning, leading to more sustainable and well-managed urban environments.

Adaptive control of transportation infrastructure in an urban environment using a real-coded genetic algorithm

The management of urban areas requires the development of an effective strategy for the evolution of transportation infrastructure to ensure the smooth flow of traffic and pedestrians. A crucial component of this infrastructure is the traffic light system, which plays a vital role in traffic control and traffic safety. Improving the efficiency of traffic control systems in intelligent transportation systems (ITS) has a significant impact on a city’s economy. As a result, the cost of fuel for road users can be reduced, and their level of social comfort can be improved, among other benefits. This paper proposes a novel approach to optimizing traffic flows in smart cities, based on the combined use of the genetic optimization algorithm and the ITS simulation model we developed. The proposed method aims to enhance the efficiency of existing traffic control systems and achieve optimal traffic flow patterns, thereby contributing to a more sustainable and efficient urban environment. The optimization algorithm shown here aggregates the objective functions using a simulation model of a real region of the Moscow road network. The model includes intersections, pedestrian crossings and other features that are implemented in the AnyLogic system. The research aims to create a decision-support system for managing urban transport infrastructure. This system will be used to optimize the duration of traffic light phases in order to minimize the time vehicles spend passing through key nodes in the urban road network. It will also optimize pedestrian flow, reducing the impact of traffic on the environment and improving fuel efficiency. By applying this approach, the capacity of the street network can be significantly increased. Additionally, the negative effects of traffic flow on the environment can be reduced by optimizing fuel use and reducing waiting times at intersections managed by traffic lights. The research methodology involves the development of a hybrid evolutionary search algorithm, the creation of a simulation model for transportation and pedestrian flows in the AnyLogic and a series of optimization experiments that demonstrate the effectiveness of the proposed approach when applied to the modeling of complex urban transportation systems.

Balancing Urban Development and Environmental Sustainability: A Case Study of Zamboanga City, Philippines

Balancing Urban Development and Environmental Sustainability: A Case Study of Zamboanga City, Philippines

Breaking Barriers, Building Bridges: Towards Inclusive and Resilient Cities through Social Diversity and Participation

In a world facing displacement, violent conflicts, climate change, and urban sprawl, urban settings are plagued byinequality, poverty, injustice, and racial and class divisions. These divisions exacerbate violence, crime, and racism. Asurban planners, it is crucial to recognize and develop solutions for present and emerging challenges. Evaluating diversesocial activities with stakeholder participation is essential for fulfilling public interests. This study aims to identify bestpractices for socially sustainable urban environments by leveraging urban diversity and social participation. Byenvisioning inclusive, resilient, and socially sustainable cities, this research investigates participatory urban designthrough case studies of social-diversity-focused projects worldwide. The methodology includes selecting case studiesbased on criteria like geographical representation and levels of community engagement. The objective is to deriveimplementable recommendations for creating inclusive, resilient, and socially sustainable urban environments byanalyzing the impact of social diversity and participation on urban resilience.

Navigating urban sustainability: balancing livability, smartness, services and environment through AHP analysis

PurposeSustainable urban development involves integrating intelligent technology into urban planning to promote economic growth, social services, and environmental preservation. It fosters inclusiveness, safety, resilience, and sustainability in urban environments. However, this strategy faces challenges balancing economic growth, social equality, and environmental preservation. Design experts must balance economic development with sustainability preservation to achieve sustainable urban development. They depend on technology for smarter communities. The paper aims to identify the criteria for sustainable urban design and design professionals' bias and their awareness of using the fourth industrial revolution technologies.Design/methodology/approachThe research methodology involves a document review to identify criteria and weights for sustainable urban design. A questionnaire was conducted with 30 design professionals to understand their preferences and biases. A hierarchical framework was created, and pairwise comparisons were computed using an AHP Online System. The weight of each criterion was calculated by aggregating normalized pairwise values within each row and dividing by the total number of cells. The Consistency Ratio (CR) was determined by aggregating the values in the row to produce the weighted aggregate value for each principle.FindingsThe document review emphasizes the significance of sustainable urban design, livability, intelligence, and environmental conservation in sustainable communities. However, participants often overlook these aspects, focusing on comfort, privacy, security, and exclusiveness. They also ignore the need for smart city technologies and environmental protection. This lack of understanding may hinder Egypt’s achievement of SDG11.Research limitations/implicationsThe paper’s main limitation is the small sample size and composition, as all participants were Egyptians working in Egypt or the Arabian Gulf region. The findings cannot be generalized, and future research could involve a team from different regions. Egypt needs to address the lack of knowledge and awareness of sustainable urban design principles among design professionals to achieve SDG 11 goals. This can be achieved through educational initiatives, readjusting priorities towards sustainability, harmonizing policy and practice with sustainable urban design principles, and interdisciplinary teamwork. Design professionals should customize their methods to suit local requirements and ecological circumstances.Originality/valueThe paper reveals that many design professionals lack an integrated and holistic understanding of sustainable urban design principles that the document review outlined. Their responses and practices reveal an incomplete understanding of sustainable urban development, requiring attention to organizing the profession, training practitioners, and reforming planning education. The paper shows that AHP has the potential to serve as a suitable instrument for decision-making; nonetheless, it is essential to exercise caution when interpreting its outcomes.

Assessing the Impacts of Autonomous Vehicles on Urban Sprawl

Background: Urban sprawl adversely effects the sustainability of urban environments by promoting private vehicle use, decreasing the viability of active/public transport, and increasing the cost of public service provision. Autonomous vehicles could change the desirability of different residential locations due to resulting changes to urban design and decreased value of travel time. Methods: Adult Australians (n = 1078) completed an online survey that included a description of a future where autonomous vehicles are widely available. The respondents reported anticipated changes in residential location in this autonomous future. Frequency analyses were conducted, and three logistic generalised linear models were run to identify factors associated with staying in the same area or moving to higher- or lower-density locations. Results: Autonomous vehicles are likely to have mixed effects on people’s desired residential locations. Most respondents (84%) elected not to move location, 11% intended to move to lower-density locations, and 6% to higher density locations. Reasons for moving included a desire for more space, the ease of travelling in urban areas, and the reduced value of travel time. Conclusion: The introduction of autonomous vehicles will need to be managed to avoid fostering increased urban sprawl and the associated negative consequences. Strategies that increase the liveability of higher density urban environments are likely to discourage urban sprawl in a future characterised by autonomous transport options.

O2SAT: Object-Oriented-Segmentation-Guided Spatial-Attention Network for 3D Object Detection in Autonomous Vehicles

Autonomous vehicles (AVs) strive to adapt to the specific characteristics of sustainable urban environments. Accurate 3D object detection with LiDAR is paramount for autonomous driving. However, existing research predominantly relies on the 3D object-based assumption, which overlooks the complexity of real-world road environments. Consequently, current methods experience performance degradation when targeting only local features and overlooking the intersection of objects and road features, especially in uneven road conditions. This study proposes a 3D Object-Oriented-Segmentation Spatial-Attention (O2SAT) approach to distinguish object points from road points and enhance the keypoint feature learning by a channel-wise spatial attention mechanism. O2SAT consists of three modules: Object-Oriented Segmentation (OOS), Spatial-Attention Feature Reweighting (SFR), and Road-Aware 3D Detection Head (R3D). OOS distinguishes object and road points and performs object-aware downsampling to augment data by learning to identify the hidden connection between landscape and object; SFR performs weight augmentation to learn crucial neighboring relationships and dynamically adjust feature weights through spatial attention mechanisms, which enhances the long-range interactions and contextual feature discrimination for noise suppression, improving overall detection performance; and R3D utilizes refined object segmentation and optimized feature representations. Our system forecasts prediction confidence into existing point-backbones. Our method’s effectiveness and robustness across diverse datasets (KITTI) has been demonstrated through vast experiments. The proposed modules seamlessly integrate into existing point-based frameworks, following a plug-and-play approach.

Strategic Digital City: Multiple Projects for Sustainable Urban Management

In the last two decades, sustainable urban environments have been predominant, meaning that knowledge production has accompanied this growth. The objective of this study is to present multiple projects for sustainable urban management applied in cities, based on the original Strategic Digital City (SDC) concept, model, and project. The research methodology included an SDC systematic literature review, highlighting the sustainability and respective action research of 11 doctoral theses and multiple projects. The obtained results highlight a set of published multiple projects that form a practical analytical cycle of sustainable and interconnected urban processes through the original SDC framework proposition, SDC, which can be applied in different cities in different countries. The innovations present in the SDC multiple projects propose a theoretical–empirical debate in the interdisciplinary areas of urban management, municipal administration, and sustainable public innovation, with a focus on local government and democracy studies, prioritizing sustainable strategies in cities and not just technologies. The conclusion reiterates that the original multiple projects, created and applied in different cities, present an interdisciplinary advance in sustainable urban management areas and public administration, focused on sustainable urban studies.

BASIC PRINCIPLES OF PARK ZONES ARRANGEMENT IN THE CONDITIONS OF THE MODERN CITY

The main principles of park zones arranging in the conditions of modern cities are analyzed in order to determine the optimal approaches to their development and organization, in particular, taking into account ecological, socio-economic and aesthetic aspects. Arguments are given that speak of the importance of observing the rules of zoning of such territories and prove the impact of the presence of properly located park zones on the physical and mental health of people. The most effective strategies for preserving the natural environment and creating a comfortable space for the city's residents have been determined, as well as potential obstacles and problems that may arise in the process of setting up park areas, and suggestions for overcoming them have been identified. The article provides a comparative analysis of the arrangement of park zones in Mariupol and Berlin. Fundamental differences in the planning of park zones as recreation areas for city dwellers have been identified. Innovative methods of using space, the introduction of eco-friendly materials and technologies, as well as the interaction of park zones with other aspects of urban planning (residential districts, the business part of the city, industrial zone, etc.) to create a healthier, sustainable and attractive urban environment were studied. The studies were carried out in accordance with the current regulatory documents, which regulate the basic principles of arranging park zones, taking into account world experience regarding location, planning, filling (small architectural forms, monuments, lighting, landscaping) and other aspects. The main criteria for the optimization of park zones are: preservation of the existing priority direction of territory use while increasing the protection regime of individual areas; preservation of green areas and historical integrity of the territory; preservation and restoration of the formed landscape and architectural features of parks-monuments of garden and park art; appropriate territorial ratio of functional zones, organization of care for park territories at the level of local authorities and compliance with rules of use. Arrangements of park and green areas of cities from different countries were compared. Keywords: park areas, modern trends, green areas.

Local Government Cybersecurity Landscape: A Systematic Review and Conceptual Framework

Local governments face critical challenges in the era of digital transformation, balancing the responsibility of safeguarding resident information and administrative documents while maintaining data integrity and public trust. These responsibilities become even more critical as they transition into smart cities adopting advanced technological innovations to revolutionize governance, enhance service delivery, and foster sustainable and resilient urban environments. Technological advancements like Internet-of-Things devices and artificial intelligence-driven approaches can provide better services to residents, but they also expose local governments to cyberthreats. There has been, nonetheless, very little study on cybersecurity issues from the local government perspective, and information on the multifaceted nature of cybersecurity in local government settings is scattered and fragmented, highlighting the need for a conceptual understanding and adequate action. Against this backdrop, this study aims to identify key components of cybersecurity in a local governmental context through a systematic literature review. This review further extends to the development of a conceptual framework providing a comprehensive understanding of the local government’s cybersecurity landscape. This study makes a significant contribution to the academic and professional domains of cybersecurity issues and policies within the local governmental context, offering valuable insights to local decision-makers, practitioners, and academics. This study also helps identify vulnerabilities, enabling stakeholders to recognize shortcomings in their cybersecurity and implement effective countermeasures to safeguard confidential information and documents. Thus, the findings inform local government policy to become more cybersecurity-aware and prepared.