Quality Of Life For Citizens Research Articles

Fermatean Fuzzy TOPSIS Method and Its Application in Ranking Business Intelligence-Based Strategies in Smart City Context

With the expansion of smart cities, the use of business intelligence (BI) has emerged as a crucial tool for resource optimization, increasing efficiency, and improving the citizens’ quality of life. BI enables companies to make better strategic decisions by analyzing vast amounts of urban data, helping them remain competitive in the dynamic smart city environment. This study utilizes content analysis and the Fermatean Fuzzy TOPSIS (FF-TOPSIS) method to rank the strategies based on business intelligence in the context of smart city. Initially, relevant criteria were identified through content analysis, and subsequently, five strategies were developed and ranked based on these criteria. The results revealed that the "Development of IOT-enabled smart networks (S2)" ranked highest, as it plays a significant role in optimizing resource management and enhancing urban service performance, thereby contributing greatly to the advancement of smart cities. "Process automation and the deployment of robotic systems (S5)" ranked second, as it enhances efficiency and reduces human errors. "Cloud platform integration for seamless access to data and services (S3)" also proved to be of considerable importance, ranking third, as it provides seamless access to data and services. " Artificial intelligence deployment for predictive analytics and process optimization (S4)" ranked fourth and was vital for predictive analytics and process optimization, while " Big data analytics for smart decision-making (S1)"—despite its importance—ranked fifth. Urban managers should prioritize the development of IOT networks to fully leverage their potential for resource management and efficiency gains. Following this, attention to process automation and AI integration can significantly enhance the quality of life for citizens and reduce urban costs.

The Vision Zero strategy and its goals

The relevance of studying the Vision Zero strategy is driven by the growing challenges in road traffic safety faced by modern societies. Despite advances in technology and infrastructure, the number of fatalities and injuries in road accidents remains a significant issue, requiring new approaches for resolution. In the context of increased attention to sustainable development and reducing the negative impact on the environment, Vision Zero offers innovative solutions aimed at harmonizing human safety with the ecological and economic demands of modern transportation systems. The Vision Zero strategy represents a modern and ambitious approach to road safety, aiming for the complete elimination of deaths and serious injuries on the roads. This study is dedicated to a comprehensive analysis of the main goals and principles of the Vision Zero strategy, as well as its application in the context of road safety within the European Union. The aim of the study is to thoroughly examine the key objectives of Vision Zero, such as achieving zero fatalities in traffic accidents and reducing serious injuries. Special attention is given to defining serious injuries and methods to reduce them, including both technical and infrastructural solutions. The paper discusses the core principles of the strategy, including ensuring the safety of vehicles, infrastructure, and driver behavior, as well as the principles of a systems approach and proactive risk management. The findings of the study confirm that the Vision Zero strategy is an effective tool for reducing the number of traffic accidents and serious injuries, due to its comprehensive approach to road safety. Specifically, the research shows that achieving Vision Zero’s goals has a significant socio-economic impact, including reduced medical costs and improved quality of life for citizens. The realization of these goals also promotes the implementation of new technologies and innovations in the field of safety, making transportation systems more efficient and reliable. By analyzing and justifying the importance of achieving the Vision Zero goals, the study underscores the need for a comprehensive approach to managing road safety and demonstrates the potential of this strategy to ensure a safer and more sustainable transportation environment in the European Union.

Innovative Leadership for Social Impact: A Study of Benin’s Accounting, Finance and Economic Strategy

This study delves into the innovative leadership strategies employed in Benin to drive social impact and economic growth. Despite global economic challenges, Benin has emerged as a model for leveraging innovative leadership to address socioeconomic issues. Through a combination of surveys and semi-structured interviews with policymakers, business leaders, and community stakeholders, this research explores the core elements of Benin’s accounting and economic strategy. The study employed qualitative analysis methods to process the data, identifying transformative policies and initiatives that have spurred sustainable development and social progress. The findings reveal that Benin’s success is attributed to robust leadership frameworks, inclusive decision-making processes, and strategic implementations. Specifically, the research highlights how visionary leadership has effectively contributed to accounting and economic resilience, poverty reduction, and improved quality of life for citizens. Additionally, the study underscores the critical role of accounting leadership in fostering inclusive growth and provides actionable insights for policymakers and leaders aiming to replicate Benin’s success in other contexts. By adding to the academic discourse on accounting leadership and economic development, this study offers practical implications for enhancing accounting socioeconomic outcomes through innovative accounting leadership strategies.

Addressing barriers to big data implementation in sustainable smart cities: Improved zero-sum grey game and grey best-worst method

The optimization of sustainable smart cities is an essential endeavor in modern urban development, aiming to enhance the quality of life for citizens while minimizing environmental impacts. Big data plays a critical role in achieving these goals by enabling the collection, analysis, and utilization of vast amounts of information to make informed decisions. However, implementing big data in smart cities faces significant barriers, including data-sharing challenges, technical limitations, and organizational non-cooperation. Addressing these barriers is crucial for the successful deployment of smart city initiatives. We propose a novel approach to tackle these challenges using the Improved Zero-Sum Grey Game (IZSGG) theory and the Grey Best-Worst Method (G-BWM). This method comprehensively analyzes the risks and uncertainties associated with big data implementation in smart cities. By modeling the interactions between different stakeholders and their competing interests, IZSGG theory provides a framework to identify optimal strategies for data management. The G-BWM further refines these strategies by evaluating and prioritizing the various factors influencing big data utilization. Our findings reveal that the worst-case scenario for a smart city involves the simultaneous occurrence of several risks, all of which have positive values, indicating their potential to significantly disrupt smart city operations. The specific risks identified include: the sharing of data and information, the collection and recording of data, technical limitations and challenges associated with technology, the non-cooperation of organizations, and issues related to the interpretation of complex information. The technical barrier is the most significant with a weight of w(T)=0.6152, indicating its critical role compared to other barriers. Within this category, the sub-barrier of technical and technological constraints is particularly critical, with a weight of 0.39267375.

Economic Implications and Public Readiness for Urban Green Space Development in Agra: A Strategic Evaluation in the City of Taj

Urban green spaces (UGSs) improve the environmental value of the city as well as the quality of life for citizens. Unfortunately, many cities in India are lagging behind the minimum standard of UGS required in the city. For example, Agra city in India, one of the most famous tourist destinations in the world, represents two distinct realities of UGS in the same city. One is the focus of tourism, and the rest is the place of common people with very limited public green spaces, leading to multiple social issues (like spatial polarization, etc.). The secondary data concludes that the PPGC of Agra is lower than the standards, and the ongoing schemes are approached through quantitative methods. Despite having many UGS development schemes, Agra's UGS shows stalled growth. This research examines the policies and programs of UGS development (AMRUT, SCM, etc.) and reviews them to understand the unique gaps and possible regulatory interventions. The study includes an assessment of stakeholders' readiness to accept plausible UGS strategies using an analytical analysis approach. The primary data shows that PPP is the requirement for the integrated development of UGSs. The planners can make policies highlighting citizen's rights and responsibilities to enhance UGSs in Agra.

تحسين كفاءة الخدمات الحكومية من خلال الابتكار

This study aims to examine the impact of innovation on the efficiency of government services in Saudi Arabia and how these innovations can improve the quality of life for citizens. The study is based on the analysis of data collected from surveys and interviews with government officials and citizens, as well as a review of previous studies and scientific theories related to innovation. The results show that technological and administrative innovations significantly contribute to improving the efficiency of government services and increasing citizen satisfaction. Recommendations include enhancing community awareness of the importance of innovation, developing technological infrastructure, and encouraging collaboration between the public and private sectors.

Data Analytics for Predicting Situational Developments in Smart Cities: Assessing User Perceptions.

The analysis of large volumes of data collected from heterogeneous sources is increasingly important for the development of megacities, the advancement of smart city technologies, and ensuring a high quality of life for citizens. This study aimed to develop algorithms for analyzing and interpreting social media data to assess citizens' opinions in real time and for verifying and examining data to analyze social tension and predict the development of situations during the implementation of urban projects. The developed algorithms were tested using an urban project in the field of transportation system development. The study's material included data from social networks, messenger channels and chats, video hosting platforms, blogs, microblogs, forums, and review sites. An interdisciplinary approach was utilized to analyze the data, employing tools such as Brand Analytics, TextAnalyst 2.32, GPT-3.5, GPT-4, GPT-4o, and Tableau. The results of the data analysis showed identical outcomes, indicating a neutral perception among users and the absence of social tension surrounding the project's implementation, allowing for the prediction of a calm development of the situation. Additionally, recommendations were developed to avert potential conflicts and eliminate sources of social tension for decision-making purposes.

The Impact of the Carbon Neutral Era on City Branding and Response Strategies

Against the backdrop of increasingly severe global warming, carbon neutrality has become a common goal for all countries, and carbon emission reduction has become an urgent action that all countries and cities need to take. As the center of human activities, cities are the main source of global greenhouse gas emissions, bearing tremendous responsibilities and challenges, and are crucial to promoting carbon neutrality and sustainable development. To achieve the goal of carbon neutrality and sustainable development, more and more cities have adopted various carbon emission reduction strategies to reduce carbon emissions, improve air quality, and enhance the quality of life for citizens. Urban branding is not only a reflection of the image and reputation of the city, but also an important tool for attracting talents, investments, and tourism. As an important component of urban image, urban branding and communication also need to be adjusted and optimized under the background of carbon neutrality era to adapt to and meet the needs of society and citizens. This article aims to explore the strategies and methods of urban branding and communication in the era of carbon neutrality, in order to help cities shape and disseminate competitive and attractive brand images under the carbon neutrality era, and provide suggestions and guidance for relevant urban managers and marketers on urban brand building and development, thereby promoting the sustainable development of urban brands.

Implementation of artificial intelligence by using Amazon web services to improve services in e-government

The implementation of artificial intelligence has the scope to revolutionize e-government services by enhancing the quality of life for citizens, enhancing operational efficiency, and enabling groundbreaking applications. There is a possibility that this can be achieved through technical improvements. A wide range of artificial intelligence technologies and services are offered by Amazon Web Services, which has the potential to alter how e-government services are provided. The purpose of this abstract is to study the revolutionary potential of artificial intelligence by utilizing Amazon Web Services and to highlight the benefits and possibilities that it provides to the field of e-government. The utilization of artificial intelligence in conjunction with Amazon Web Services has the potential to significantly enhance the quality of e-government services by reducing inefficiencies, enabling the development of creative applications, and enabling the customization of experiences. With the assistance of the artificial intelligence tools and services offered by Amazon Web Services, the public sector can take advantage of the revolutionary power of artificial intelligence while also ensuring that responsible and ethical practices are followed.

Assessing Economic Development and Quality of Life: A Management Perspective on Romania and the Republic of Moldova

This article presents a comparative analysis focusing on the economic dimensions of quality of life and explores the factors influencing economic growth and well-being between two countries located in Eastern Europe: Romania—an EU member state since 2007, and Moldova—an EU candidate status since June 2022. By examining statistical data, we assess the relationship between economic growth and development, aiming to discern patterns and dynamics within these countries’ economies. Through this comparative approach, we aim to elucidate how economic factors contribute to societal welfare and living standards. The study underscores the significance of economic management policies and structural reforms in fostering growth and enhancing the quality of life for citizens. By focusing on the economic landscapes of Romania and Moldova, we aim to offer insights into the challenges and opportunities faced by transitioning economies in Eastern Europe, shedding light on strategies for sustainable development and improved well-being.

Exploring the potential of blockchain technology for citizen engagement in smart governance

This review article explores the potential of blockchain technology (BCT) as a key enabler for fostering transparency, trust, and citizen engagement in smart governance within smart cities. By examining the benefits of BCT in various aspects of smart city systems, such as data security and privacy, the paper highlights the advantages of implementing consortium blockchain architecture and the Proof of Authority (PoA) consensus algorithm and discusses the challenges of scalability and security concerns. Based on the literature showed in this article, we believe that the use of BCT in smart governance could significantly enhance citizen participation and help manage and deliver public services, paving the way for more effective decision-making processes and improved quality of life for citizens.

도시의 산업구조 변화에 따른 도시디자인 전략 연구

A city that takes on collapse of regional core industry would reset vision of city, seek new growth engine industry, and establish urban planning to rebuild regional economy and recover city's vitality. In 90s Malmö city of Sweden encountered a financial catastrophe resulted by bankruptcy of shipbuilding industry which had supported Malmö's Economy. Malmö city set ups Eco City as future vision of city, and drives related projects and policy to achieve goals. As result, high tech industry companies flow in and population of city grows and Malmö is chosen as the best lively city in Europe. The Study aims to suggest strategy and methods of urban design for reference of Korea city where meet similar crises through analyzing success of Malmö. Even Malmö selects high-tech industry as new engine for city, urban design of Malmö focuses on life quality of citizen, and invests projects to visualize city vision. The city establishes detaild design guideline to realize ‘eco-city’, and develop urban design to practice and experience eco-life such as green area, bike path, and energy recycle. Malmö gives lessons including cooperative setting of city vision, urban design centered on residence, linkage with vision and design, and importance of landmark.

Investigating Noise Mapping in Cities to Associate Noise Levels with Sources of Noise Using Crowdsourcing Applications

Environmental noise is a major environmental concern in metropolitan cities. The rapid social and economic growth in the 20th century is not always accompanied by adequate land planning and environmental management measures. As a consequence of rapid urbanization processes, cities are facing an increase in noise pollution. Noise is being recognized as a serious environmental problem and one which must be accounted for in a sustained development policy designed to improve the quality of life for citizens. Therefore, the monitoring of noise is a crucial aspect of urban planning to allow urban planners to create harmonious and livable environments for communities worldwide. This research aims at assessing the noise levels and associated sources of noise in downtown areas through the involvement of crowdsourcing techniques. The incorporation of noise mapping and increased public awareness are achieved by a framework that enables a comparative scheme between two cities: Alexandria, Egypt and Zagreb, Croatia. The methodology depends on combining crowdsourcing techniques using mobile applications and geographic information system (GIS) tools to detect and analyze noise. Finally, this research provides a comparison between the two cities using the adopted methodology and introduces recommendations to enhance urban planning decisions.

Aquila Optimizer-Based Hybrid Predictive Model for Traffic Congestion in an IoT-Enabled Smart City

Effective traffic congestion prediction is need of the hour in a modern smart city to save time and improve the quality of life for citizens. In this study, AB_AO (ARIMA Bi-LSTM using Aquila optimizer), a hybrid predictive model, is proposed using the most effective time-series data prediction statistical model ARIMA (Autoregressive Integrated Moving Average) and sequential predictive Deep Learning (DL) technique LSTM (Long Short-Term Memory) which helps in traffic congestion prediction with a minimum error rate. Also, the Aquila optimizer (AO) is used to elevate the adequacy of the AB_AO model. Three road traffic datasets of different cities from the “CityPulse EU FP7 project” are used to implement the proposed hybrid model. In a time-series dataset, two components need to be handled with care, i.e., linear and nonlinear. In this study, the ARIMA model has been used to manage linear components and Bi-LSTM is used to handle nonlinear components of the time-series dataset. The Aquila Optimizer (AO) is used for hyperparametric tuning to enhance the performance of Bi-LSTM. Error measurement parameters like the Mean Absolute Error (MAE), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE) are used to validate the results. A detailed mathematical and empirical analysis is given to justify the performance of the AB_AO model using an ablation study and comparative analysis. The AB_AO model acquires more stable and precise results with MSE as 18.78, MAE as 3.18, and MAPE as 0.21 than other models. It may further help to predict the vehicle count on the road, which may be of great help in reducing wastage of time in traffic congestion.

Near surface assessment of New capital city using geophysical techniques

ABSTRACT The Egyptian government announced the creation of a brand new capital city to address Cairo’s rapid population expansion and improve the quality of life for citizens, which is thought to have a strong demand for housing. In this study, we focused on the application of geophysical techniques, specifically Electrical Resistivity Tomography (ERT) and Very Low Frequency Electromagnetic Method (VLF-EM), to investigate the shallow subsurface in the New Capital city in Egypt. The study area is located in the eastern part of Cairo and is characterised by Oligocene and Miocene rocks. The ERT profiles reveal four geoelectrical layers based on resistivity values, with the first layer (Resistivity >300 Ω.m) interpreted as sand and conglomerate on the surface or basalt below. The second layer (100–300 Ω.m) is identified as sandstone, while the third layer (15–100 Ω.m) is interpreted as humid sandstone. The fourth layer (1–15 Ω.m) is characterised as shale. The abrupt changes in resistivity values horizontally indicate the probability of subsurface structures, including faults. The VLF-EM method is used to identify faults and cracks in the earth’s crust. The results provide information on the size, shape, and depth of both shallow and deep subterranean conductors. Anomalies of high conductivity suggest fault or fracture zones influencing underlying strata.

STIMULATING INNOVATION AND SUPPORTING SUSTAINABLE DEVELOPMENT: INTEGRATION OF INVESTMENT POLICY AND DIGITAL TRANSFORMATION IN THE CONTEXT OF PANDEMICS

Background . This article examines the interconnection between state investment policy and the digital transformation of society in the context of pandemics, with an emphasis on stimulating innovation and sustainable development. The paper is dedicated to analyzing strategies that foster innovation and sustainable growth within the integration of investment policy and digital transformation, particularly under pandemic conditions. The study considers the potential of digitalization as a catalyst for the development of smart cities, which can significantly enhance the quality of life for citizens by ensuring safety, energy efficiency, and creating comfortable living conditions. Methods . Employing an analytical approach, the research assesses current strategies and initiatives, as well as explores the potential of digitalization for the development of smart cities. Results . The analysis demonstrates that digitalization can significantly improve the quality of life for citizens by ensuring safety and energy efficiency. It highlights the challenges and opportunities that arise for states and economic entities. The paper analyzes how states, regions, and business structures can adapt to rapid changes induced by digital innovations and global crises, including pandemics. It emphasizes the necessity of developing comprehensive strategies that integrate investment policy and digital technologies to achieve sustainable development and form smart cities capable of effectively responding to contemporary challenges. The role of informational transformation in creating smart cities as a platform for enhancing educational systems, healthcare, production innovation, and increasing energy efficiency is outlined. Conclusions . The conclusions underscore the relevance of smart city development in the context of integrating investment policy and digital transformations, which require new approaches to management, societal development, and interaction with global challenges. The development of comprehensive strategies that integrate investment policy and digital transformation is key to achieving sustainable development and creating smart cities capable of effectively responding to modern challenges.

Чинники впливу на соціально-економічний розвиток регіонів (територій) України в умовах загроз і подолання наслідків військової агресії

The European choice of Ukraine’s development has a direct impact on the formation of its regional policy, which is based on the implementation of democratic principles, positive experience of the EU countries, mutual convergence of legislative provisions, contributes to the rapid adaptation of the country’s regions to European rules in integration into the European Union. Understanding the impact of internal and external factors on the socioeconomic development of regions (territories, communities, cities, etc.) directly affects the efficiency of the entire public administration system at all levels, the organization and interaction of territorial authorities, the business environment, the public in order to create a safe living space, the ability to fulfill the assigned powers and responsibilities, to ensure a high level of quality of life for citizens, sustainable development of the country and its territory, etc. It is relevant in modern conditions to search for efficient theoretical and methodological approaches and recommendations for the analysis, identification and generalization of various factors influencing regional development for the purpose of their further use in the system of public administration at various levels, in particular in the context of overcoming the consequences of military aggression in the post-war period in Ukraine. The objectives of the article are aimed at analyzing the internal and external factors influencing the socioeconomic development of the regions of Ukraine; generalization and grouping of such factors, taking into account their importance, direct positive and negative impact on the functioning of any territory, ensuring a safe living environment, etc. The used example of the Kharkiv region, which, due to its border location with the russian federation, constantly remains in the zone of negative influence from the proximity to the territory of hostilities and their consequences, proves the relevance of the study of the influence of external and internal factors on socioeconomic regional development from the standpoint of taking into account individual territorial characteristics, which makes it expedient to use the results obtained in the process of further developments of scientific and practical materials on the reconstruction of the country and its regions.

City council help desk support system

The City Council Help Desk Support System is a comprehensive web-based software designed to assist city residents with complaints, queries, and services. This system enhances the efficiency of the City Council and improves the quality of life for citizens by addressing various issues, including fire alerts from specific locations, waste management, community grievances, interference with protected vegetation, and traffic light damage reports. Each query submitted through the portal is stored in a database for future reference. The system's AI-based chatbot provides support by offering relevant information even in the absence of staff. By leveraging digital and internet technologies, this system significantly reduces response times and automates processes across administrative, user, and staff modules. The project utilizes Agile methodology, emphasizing incremental delivery, team collaboration, continual planning, and learning to ensure value delivery at each stage. This paper explores the system's detailed functionalities, its application of Agile principles, and the results of its real-world implementation.

Demographic Characteristics, Administrative Leadership, Knowledge Management Processes, and Performance of City Administrators in the New Normal

The decisions and actions of administrators can directly impact citizens’ quality of life and the overall functioning of local communities. Effective leadership and knowledge management processes can be essential in this context, as they can help administrators navigate uncertainty, make informed decisions, and effectively manage resources in a rapidly changing environment. Despite the scarcity of research on the relationship between demographic factors, administrative leadership, knowledge management processes, and the performance of administrators in government organizations, this study aimed to determine the influence of these factors on the performance of administrators in the new normal of government organizations. There were 153 participants: administrators, heads of office, and unit heads of offices of the city government organizations. Descriptive correlational were used in the study. Frequency, percentage, mean, standard deviation, Pearson product-moment correlation, and multiple regression analysis were used to treat the data. The level of administrative leadership and knowledge management processes among administrators is very high, respectively. The administrators’ level of performance in terms of their OPCR is very satisfactory. The demographic characteristics, administrative leadership, and knowledge management processes have a significant correlation and are important predictors of the performance of administrators that generate a linear model. These findings lead to the proposed intervention plan for the administrators, which can enhance the quality of life for citizens and contribute to the overall well-being of local communities by improving the performance of administrators and providing practical recommendations for effective decision-making and resource management.

Quality Performance Leadership for Political Leadership at the Local Government Level in Nigeria: A Case Study of AMAC Abuja FCT

This study is of significant importance to academic researchers, policymakers, and practitioners, and delves into the impact of quality performance leadership on political leadership at the local government level in Nigeria. The focus is on the case of the Abuja Municipal Area Council (AMAC) in the Federal Capital Territory (FCT). Using the conceptual frameworks of transformational leadership, servant leadership, and performance management frameworks to inspire and motivate their followers to achieve extraordinary outcomes, serve their constituents and set goals, monitor progress, and evaluate outcomes to enhance local government accountability, transparency, and service delivery. Through a qualitative methodology, data was collected via interviews, observations, document analysis, and review of case studies to analyze information provided by participants. The findings revealed that effective leadership in the LGAs could lead to better policy formulation processes because the Chairpersons and their team understand the needs and dynamics of their communities. Such understanding leads to better service delivery, robust community engagement, diligent resource management, and proactive development initiatives tostimulate economic growth and improve the quality of life for citizens living in the LGA. The study recommends implementing a comprehensive training and development program for leaders focusing on leadership skills, communication, and accountability. It also recommends leveraging and adopting emerging technologies to improve service delivery, and efficiency, and improve stakeholder engagement.