Modern Models Research Articles

Improving Criminal Law in Jordan: Challenges of our Time

The main purpose of the article is to improve the main ways of strengthening criminal legislation in Jordan. The object of study is criminal law in Jordan. The scientific task is to present a modern model for improving the main ways of strengthening criminal legislation in Jordan. The research methodology involves the use of the IDEF0 modeling method. As a result, two most significant models for improving the main ways of strengthening criminal legislation in Jordan are presented. The novelty of the article lies in the presented models for improving the main ways of strengthening criminal legislation in Jordan. The study has limitations in the form of only considering the specifics of Jordan's legislation. The prospects for further research lie in the examination of criminal law in other Middle Eastern countries.

Socio-cultural risks of multimodal large generative models of "artificial intelligence" (GenAI)

The article is devoted to the study of the conditions for ensuring the information security of Russian citizens when using generative "artificial intelligence" technologies in the socio-cultural sphere. The relevance of the topic is due to the modern high rates of development of computer neural networks that generate multimedia content: texts, images, sounds and videos. The developers classify generative technologies as "artificial intelligence", position them as a "new nuclear project" capable of radically increasing the productivity of socio-cultural creativity, and receive significant government, corporate and investment financing. The object of the study is modern multimedia generative models, the subject of the study is the possibility of their use in the socio-cultural sphere of creativity and the associated risks of information security. The purpose of the study is to determine the conditions for ensuring the information security of Russian citizens when using multimodal generative technologies in the socio-cultural sphere. The research materials are scientific publications of recent years (2021–2024) in Russian journals of the HAC list (categories K1, K2) and international Scopus publications (quartiles Q1, Q2) devoted to research and critical analysis of the possibilities of multimodal generative models, associated risks and security tools. The philosophical methodology is applied: theoretical and cultural analysis, synthesis. The scientific novelty of the article is due to the application of a philosophical theoretical and cultural methodology for a critical comparison of the declarations of developers and the actual potential of applications of multimodal generative technologies. The result of the study is an assessment of how greatly exaggerated the risks predicted based on the positioning of the technologies in question as "artificial intelligence". The real risks are proposed to include: the incompatibility of development costs with the usefulness of the results; lowering the cultural level of professional and amateur creativity and worsening the tastes of the mass audience; use in "social engineering", fraud, mass disinformation, fake news, manipulation of public consciousness, "cancellation culture", destruction of traditional values and substitution of socio-cultural identity. The means of ensuring the safety of Russian citizens in the development and use of multimedia generative technologies in the socio-cultural sphere are recommended.

THE ANALYSIS OF THE EFFICIENCY OF GENERATIVE AI ALGORITHMS FOR CREATING A NATURAL DIALOGUE

In the modern world, artificial intelligence (AI) plays an increasingly important role in various fields of human activity. One of the most promising areas of AI application is the generation of natural dialogue. The purpose of this work is to analyze the efficiency of generative AI algorithms for creating natural dialogue. The relevance of this topic is due to the growing interest in the use of AI to create dialogue systems capable of interacting with people in a natural way. The results of the study can be useful for developers of dialogue systems, researchers in the field of AI, as well as anyone interested in the application of AI in their everyday life. Natural language generation is a fundamental task in artificial intelligence, with applications ranging from chatbots to virtual assistants. This study provides a comprehensive analysis of the efficiency of various generative artificial intelligence algorithms for creating a natural dialogue. Their performance is assessed in generating consistent and contextually appropriate responses by evaluating modern models using quantitative metrics and human evaluation. Additionally, the study explores the impact of various training data sizes and techniques on the quality of a generated dialogue. The results provide insight into the strengths and weaknesses of current generative AI approaches in the generation of a dialogue.

Quantifying the digital economy according to the proposed framework

Methods. The article is based on a thorough analysis of data on the development of the digital economy, obtained from experts, researchers and partners specializing in the collection and processing of statistical data. The concept proposed in the article is formed based on both the basic definition of the digital economy and the methodology of measuring its scale basing on the calculation of added value. The digital economy estimation method is based on the use of national accounts and reflects the digital economy in the general context of gross domestic product (GDP). Results. The article examines the role of digital technologies in the socio-economic development of society. The changes that the modern model of interaction between business and society undergoes under the influence of digitalization processes are demonstrated. Special attention is paid to the research of existing systems for measuring the scale of the digital economy. The possibility of applying an approach to the assessment of the digitalization of the economy, which is based on the macroeconomic approach of consumption-output, proposed by W. Leontief, is considered. For its implementation, available data from the system of national accounts were used, namely: information on sixteen economies in Asia, Europe, North America and the Pacific region, including Australia. The study identified digitized sectors around the core perimeter of the digital economy, and predicted that countries with high imports of digital products, as well as industries that are highly dependent on the functioning of core digital sectors, are likely to have lower digital economy scores than others. Novelty. An improved methodological approach to measuring the scale of the digital economy is proposed, which consists in estimating its share in the total GDP of the country based on the calculation of the added value of a set of key digital products created within the national economy. Practical value. The results of the study are relevant to modern global problems, as they form a comprehensive statistical perspective of the review of the development of the digital economy.

Application of KMV Model in Credit Risk Management in Banking Industry

As an important part of the national financial system, the banking industry bears important responsibilities for the national economy. In addition, the banking industry is considered an area full of high risks. The risk management of banks not only involves the national finance, economy and national security, but also directly affects the national financial system and the stability of the global financial order. Credit risk has always been one of the risks that domestic and foreign banking banks pay special attention to. Effectively identifying and preventing credit risk is the key to ensure the smooth operation of banks. In order to better identify and manage the credit risk of the listed banks in China, this study uses the KMV model to measure the default distance of the sample banks. Will default distance as assessment of China listed commercial Banks credit risk agent variables, using before 2019 in China's a-share market listed commercial Banks build panel data, empirical analysis, and discuss the analysis results, put forward relevant policy Suggestions, model support for the healthy and steady development of the banking industry. This paper analyzes the current situation of the application of modern credit risk measurement model in the risk management of the banking industry. Meanwhile, combining with the data of some listed banks in China, discusses the credit risks and challenges faced by banks through in-depth analysis, and provides development suggestions with the data analysis of financial model.

Modernity under the Alias 'Oriental Bismarck' of Li Hongzhang: The Lack of Cultural Subjectivity and the Reconstruction of Nationalism

As a prominent politician of the late Qing dynasty, Li Hongzhang possessed numerous aliases, among which "Oriental Bismarck" holds a special significance. This appellation not only reflects the shift in the Chinese evaluation system of historical figures from traditional modes under the influence of Orientalism but also implies the consciousness and practice of nationalism in the modernization model of developing countries. Against the backdrop of the wave of colonialism and the statism vision of self-improvement, concepts like "Oriental-someone/something" in Chinese context embody a loss of cultural subjectivity of the traditional Chinese discourse power. Simultaneously, it reveals that, amidst the entanglement between the old China and the West, certain foreign elements and cultural symbols could be useful to construct the modernity and to affirm the uniqueness of China itself, by relying on nationalism. By analyzing the cultural significance and historical ruptures behind appellations like "Oriental Bismarck," this article adopts a postmodern historical perspective to criticize simplistic interpretations of modernization theory and explores how these appellations serve as important windows for studying the construction of history and modernity.

The return of the king’s two bodies: liberal arguments for the moderating powers of monarchy in post-revolutionary France and Portugal*

ABSTRACT Arguments analogous to those found in the late medieval theory of the king’s two bodies, popularized by Ernst Kantorowicz, were resurrected in early nineteenth-century constitutional theories of the moderating powers of monarchy. Post-revolutionary French liberal thought, echoed by its Portuguese counterpart, rediscovered the virtues of the institution of royalty, notably the immaterial and immortal body of the king. This rediscovery was prompted by the uncertainties of different national political contexts which made many contemporaries believe it desirable to integrate restored monarchies within modern constitutional models for state stability. This first occurred with the Bourbons’ return to post-Napoleonic France and the restoration of the monarchy in 1814, and then with the Braganza royal family’s return to Portugal in 1821 after thirteen years of rule from Brazil. Using arguments similar to those previously made in late medieval European political and legal thought, French and Portuguese liberals developed a theory of the king’s two powers, according to which the monarch at once exercised a moderating power, defined by the abstract institutional nature of the king’s person, and an executive power, embodied within his physical person. This conceptualization of royal duality was intended to make it possible to delegate executive power to ministers, leaving the king only the attributes of a largely symbolic power. Liberals thereby hoped to confine the monarch to his purely institutional body in a de-politicized constitutional role.

Usaha Mikro Kecil dan Menengah (UMKM) Berkelanjutan melalui Literasi Keuangan

MSMEs play an important role in the global and local economy, contributing to job creation, innovation and economic growth. However, many MSMEs face financial challenges that can hinder their development. This is why financial literacy is the key to empowering MSMEs to be sustainable. Micro, Small and Medium Enterprises (MSMEs) are the most strategic sector of the national economy and concern the livelihoods of many people, making them the backbone of the national economy. This research uses qualitative research methods, data collection is carried out using questionnaires, observation and documentation methods. Data analysis techniques use percentages as a basis for interpretation and description to produce research results. MSME players must develop modern business models. The government is also encouraging MSME players to develop modern business models, by building digital technology as a platform in the process of sustaining MSME activities. Strengthening digital technology to support MSME economic activities. In the sustainability strategy, digital technology must be the main platform in MSME business processes. Where, in the future it is hoped that MSMEs can use digital technology to implement financial literacy.

MODELLING OF PROFESSIONAL QUALIFICATIONS OF HEALTHCARE PROFESSIONALS BY MEANS OF LABOUR FUNCTION EXPERT ANALYSIS

To substantiate the modern model of professional competences of healthcare workers based on expert modelling of labour functions in a professional standard as a basic element of the system of assessment of their qualifications and continuing professional development. In the system of healthcare professionals' training, a prognostic approach to designing a structural and functional model of a specialist remains the main one. Using the analysis of modern data on the relations between the labour market and the system of doctors' professional training, the pragmatic (actualisation) model of professional competences is substantiated. The latter is based on the analysis of experts who observe the actual work of doctors in real conditions, build their expert opinion on the basis of self-reflection and analysis of their own professional experience. In contrast to the prognostic model, this model can be used as a basis for the formation and assessment of professional competences of healthcare professionals, in particular those acquired through non-formal and informal education based on constructivist learning principles. The features of the pragmatic (actualisation) model of doctors' professional competences are as follows: methodological reliance on constructivism; expert method of forming the content of labour actions and competences; results of professional self-reflection of healthcare professionals; fixation of professional competences in professional standards by medical specialities; evaluation of the results of non-formal and informal learning; analysis of current labour market information, up-to-date descriptions of activities in the workplace and relevant job functions; realism and pragmatism. In order to develop the National Qualifications System in the field of healthcare, it is necessary to implement the following: implementation as regulated by the current legislation of the procedures for assessment of formal, non-formal and informal results of professional training in the system of continuing professional development; development of professional standards for all specialities of healthcare professionals — doctors, nurses, pharmacists and managers of healthcare facilities; development of a system of independent qualification centres in the healthcare sector.

An integrated three-dimensional aeromechanical analysis for the prediction of stresses on modern coaxial rotors

This paper presents the first application of an Integrated Three-Dimensional aeromechanical analysis—defined as the coupled solution of three-dimensional finite element-based structural dynamics with a three-dimensional Reynolds-Averaged Navier-Stokes-based fluid dynamics—to predict the stresses on a modern coaxial rotor. The coupling was carried out with the University of Maryland’s structural dynamic solver X3D and the U.S. Army’s CREATETM–AV Helios suite of fluid dynamic solvers. A modern four-bladed hingeless coaxial rotor model—inspired by the gross dimensions of the Sikorsky S-97 Raider but generic and open source otherwise—is developed as a demonstration test case. The new structural solver is driven by parallel and scalable solvers and advanced high performance computing. It is enabled by high-order three-dimensional brick finite elements unified with multibody dynamics, integrated aerodynamics, and a special 3D-to-1D fluid-structure interfaces refines the power of delta-coupling procedure while retaining the advantages of existing CFD mesh motion schemes. The analysis predicts the three-dimensional stresses on the rotor blades and hub, together with the deformations, airloads, and wake, in an integrated manner. Two flight conditions are studied: a low-speed flight at 37 knots and a high-speed flight at 150 knots. Interesting three-dimensional unsteady stress patterns are revealed all across the blade but particularly inboard of 50% rotor radius—patterns that change from flight to flight and have remained invisible until now—since they could neither be predicted nor measured in flight. The maximum axial stresses exhibited 3/rev variation at low speed, and 2/rev variation at high speed flight. The lower rotor carried higher oscillatory stress burden at low speed, whereas both the rotors shared the same stress burden at high speed flight. The key conclusion is that such analysis is now indeed possible, and the stress patterns they reveal provide deeper insights into the dynamics of advanced rotors, and these might provide a path toward mitigating them in the future.

Marketplace: Business Model of the Modern Economy

Relevance. The study of the features of the work and development of marketplaces is a relevant area, since these platforms play a significant role in modern society and business, representing a business model of the modern economy. They bring together sellers and buyers, providing the opportunity to sell goods and services over large territories and increase their customer base. Additionally, analyzing the key features of popular e-commerce platforms can help entrepreneurs choose the most suitable platform for their business and determine its advantages and disadvantages. Online stores offer a wide range of products, convenient delivery and discounts for regular customers. In addition, many marketplaces work directly with manufacturers, which allows them to offer products at lower prices. Thus, we can assert the relevance of the study of marketplaces as a business model of the modern economy.The purpose of the study is to study the features of the operation of distance trading platforms - marketplaces, the history of their origin, the impact on purchasing behavior, key characteristics, as well as the advantages and disadvantages of popular e-commerce platforms.Objectives: identifying the weaknesses of online stores; identifying possible ways to solve problems arising in this area of business.Methodology. The following methods were used to study online stores: data analysis, user survey, comparison of various platforms, study of reviews and ratings.Results. Selling through marketplaces is the business model of the modern economy. It is necessary to take into account the peculiarities of the functioning of marketplaces, their differences from other forms of sales of goods in the conditions of applying a modern business model that is adequate to the real conditions of doing business and economic development.Conclusions. The use of marketplaces is associated with the ability to minimize the costs of production, sales, purchase or exchange based on building effective interaction on a digital platform and various adaptive combinations of business processes. This allows us to prove the initial assumption that the marketplace is a business model of the modern economy.

XI Международная конференция по криминалистическому исследованию оружия

The article provides an overview of the two-day sessions of the XI International Conference on Forensic Study of Weapons, which was held at Saratov State University on October 17–18, 2023. The conference was attended by ballistics and criminologists experts from Saratov, Moscow, Volgograd, Nizhny Novgorod, St. Petersburg, the Kyrgyz Republic, the Republic of Armenia, Sri Lanka, the United Arab Emirates, Israel, the Republic of Belarus. The conference has been held on the basis of Saratov State University since 2011. The main issues of the conference are related to the introduction of modern technologies into forensic studies of firearms, ammunition and traces of their use. Promising methods for studying modern models of firearms, traces of their use, shot products, reconstruction of places of criminal use of firearms, identification of firearms by traces on fired bullets and spent cartridges were presented and discussed at the conference. The results of research into the effectiveness of using machine learning methods to automatically compare weapon traces on fired bullets and cartridges for the purpose of classifying them into firearms were presented in a number of reports. Separate reports were devoted to the reconstruction of crime scenes involving the use of firearms. The conference confirmed the status of a scientific platform bringing together criminologists, ballistics experts, specialists in the field of information and digital technologies, whose scientific interests are related to the study of weapons, ammunition and traces of their use.

Трансформация советской системы образования в 1920–1930-е гг. (на примере Саратова)

During the 1920–1930s, the young Soviet state faced numerous challenges, including the establishment of new governmental bodies and the development of an educational model aimed at fostering citizens with Soviet consciousness. However, the almost total illiteracy of the country’s population at that time brought to the forefront the urgent need for the development of campaign against illiteracy. Saratov, as one of the largest cities in the Volga region, was no exception in this regard. Based on the analysis of archival materials and published sources, application of methods of system, statistical and structural analysis, the author of the article comes to the conclusion that as part of the campaign against illiteracy in Saratov in the 1920–1930s, a modern model of education was created, consisting of secondary mass schools, vocational and higher education. By establishing a comprehensive educational framework, including primary schooling and pathways to vocational and higher education, Saratov played a vital role in advancing the Soviet agenda of literacy and ideological indoctrination. Furthermore, the case of Saratov underscores the complex interplay between educational policy, societal needs, and political imperatives in shaping the trajectory of educational development in the early Soviet era. Moving forward, continued research into local initiatives and their broader implications for national educational strategies will deepen our understanding of the dynamic evolution of education in the Soviet Union.

Modern models for predicting bankruptcy to detect early signals of business failure: Evidence from Montenegro.

This paper explores predicting early signals of business failure using modern models for bankruptcy prediction. It reviews how continuous operations enhance market value, strengthening competitiveness and reputation among stakeholders. The study involves medium and large companies in the Montenegrin market from 2015 to 2020, comprising 30 bankrupt and 70 financially stable firms. Logistic regression is also employed to create a logit model for early detection of bankruptcy signals in companies. This research establishes the empirical validity of modern models in predicting business failure in the Montenegrin market, particularly through logistic regression. Significant indicators, such as the Degree of Indebtedness (DI) and turnover ratio of business assets (TR), exhibit strong predictive power with a p-value less than 0.001 according to Likelihood ratio tests. The paper underscores the potential benefits of bankruptcy prediction for both internal and external stakeholders, especially investors, in enhancing the competitiveness of Montenegro's large and medium-sized companies. Notably, the research contributes by bridging the gap between theory and practice in Montenegro, as bankruptcy prediction models have not been extensively applied in the market. The authors suggest the possible applicability of the created logit model to neighboring countries with similar economic development levels. In that sense, the concept of predicting bankruptcy is positioned as integral to corporate strategy, impacting the overall reduction of bankruptcies. The paper concludes by highlighting its role as a foundation for future research, addressing the literature gap in the application of bankruptcy prediction models in Montenegro. The created logit model, tailored to the specific needs of Montenegrin companies, is presented as an original contribution, emphasizing its potential to strengthen the competitiveness of companies in the market.

Pelatihan Penggunaan Aplikasi Online sebagai Penunjang Model Pembelajaran Digital di Sekolah Dasar Swasta (SDS) Muhammadiyah Indonesiana Kota Tidore Kepulauan

Education is the cornerstone of a nation's development, and in facing the era of globalization and the Fourth Industrial Revolution, education in Indonesia must continue to transform. One crucial aspect is the implementation of information and communication technology (ICT) in the learning process. Elementary Schools (SD) as the initial stage of formal education are expected to utilize technological advancements, including the use of online applications, to enhance the effectiveness and quality of learning. The use of online applications as a support for digital learning in elementary schools is urgent due to several factors: Rapid Technological Development, Curriculum Demands, Limitations of Conventional Learning Resources, Importance of Digital Skills from an Early Age, and Parental Involvement in Learning.The Community Service Program of Khairun University at SDS Muhammadiyah Tidore involves the socialization and training in the use of online learning methods (e-learning) utilizing web tools such as Edpuzzle and Quizizz. This program is expected to provide sustainable solutions and contributions to the field of education by leveraging technological advancements. The implementation of this program aims to enhance the digital literacy of teachers and students at SDS Muhammadiyah Tidore, strengthen digital literacy, and create an innovative and interactive learning environment while maintaining ethical and professional values. Through this activity, educators are expected to adapt to technological developments in the field of education, reduce the digital divide between educators and students, and implement a more modern learning model. Continuous evaluation and the development of additional materials are expected to sustain the positive impact of this training in the long term.

Elderly clothing upgrading in product-service system design using extended Kansei Engineering methodology

PurposeThis study aims to integrate fall-protection function into the elderly clothing to meet both the daily life and fall-protection needs of the elderly people, thereby upgrading the performance of elderly clothing.Design/methodology/approachThis study identified the design strategies of elderly clothing using an Extended Kansei Engineering methodology. Extended Kansei Engineering methodology is a new design framework developed from the traditional Kansei Engineering methodology to meet the design requirements of the product-service system. This study focuses on the product section of product-service system design. According to the product design process of the Extended Kansei Engineering methodology, this study first collected and organized the design elements and Kansei words of elderly clothing. Then a questionnaire was designed using Semantic Differential Scale. Finally, the questionnaire survey was conducted and the collected data was analysed to understand the consumption preferences of elderly people. A total of 399 elderly people aged 65 and older provided valuable design insights for this survey.FindingsThe research findings include the product design strategies for the development of elderly clothing, as well as a product prototype canvas and a product prototype elderly clothing developed based on the design strategies.Practical implicationsThe research findings can provide competitive design strategies for the development of elderly clothing, thereby upgrading the performance of elderly clothing.Social implicationsThis elderly clothing integrates fall-protection function to reduce the risk of injury for elderly people due to falls, thereby helping society alleviate the medical and healthcare pressure caused by falls for elderly people.Originality/valueThe research findings can provide competitive design strategies for the development of elderly clothing. Furthermore, the Extended Kansei Engineering methodology introduced in this study can provide product and service designers with design methods that are more in line with the development trend of modern product-service system business models.

Bonsaver, Guido. America in Italian Culture: The Rise of a New Model of Modernity, 1861–1943.

Bonsaver, Guido. America in Italian Culture: The Rise of a New Model of Modernity, 1861–1943.

Current Trends in the Use of Machine Learning for Error Correction in Ukrainian Texts

The article's authors have provided a detailed problem description of identifying and correcting errors in Ukrainian-language texts. This paper provides a detailed analysis of the latest research and publications aimed at solving the problems of identifying and correcting errors in Ukrainian-language texts. The analysis of modern tools related to error correction in texts is presented along with a comparative description. Investigated the existing data corpora for the Ukrainian language so that they are relevant to solving GEC tasks. Discovered the need to create a large annotated data corpus, which will be prepared by a special team with linguistic expertise. Analysed the opportunities, advantages and disadvantages of modern machine learning models that interpret the task of detecting and correcting errors in texts as classification or machine translation. Introduced the need to develop a machine-learning algorithm that will take into account the specifics of morphologically complex languages, such as Ukrainian. Demonstrated the work of the modern models and provided screenshots. Revealed the need for further research in the Ukrainian segment of machine learning to solve the problems of correcting errors in texts using various methods and approaches.

Effectiveness assessment of technical innovations in the implementation of the modern model of the agricultural sector of Ukraine

The agricultural sector of Ukraine requires fundamental changes to improve efficiency, rural development and sustainability, which is possible through the implementation of an innovative development model. The study aimed to assess the effectiveness of the introduction of one of the types of technical innovations - agricultural drones - in the agricultural production of Ukraine. The study uses the dialectical method of scientific cognition, analysis and synthesis, systematic generalisation, comparative analysis, rating method, and the mathematical method of calculation "solution optimisation" using Excel. The study analyses modern approaches to assessing the efficiency of individual processes, which helped to formulate its algorithm for calculating the efficiency of land cultivation using agricultural drones. At the first stage of the study, the technical advantages of agricultural drones were identified, which are manifested in increased labour productivity. The second stage of the study calculated the increase in the main crops (corn, wheat, sunflower, barley, soybeans, rapeseed, peas, buckwheat, and millet) that can be obtained as a result of the use of agricultural drones on a national scale. The third stage of the study yielded an indicator of the economic efficiency of introducing agricultural drones into agricultural production, as well as a forecast of the social and environmental effects. It is emphasised that state support for the Ukrainian production of agricultural drones in various forms (subsidies, preferential lending, leasing, etc.) will contribute to the development of innovative Ukrainian industry, which will positively affect the change in the sectoral structure of the national economy and significantly increase the country's gross domestic product. The following conclusions, suggestions and practical recommendations may be useful in developing relevant programmes and measures aimed at developing the agricultural sector of Ukraine.

Analysis and development of criteria for the operational efficiency of urban electric buses

Problem. Currently, manufacturers and research specialists primarily utilize the amount of autonomous mileage and/or the specific electricity consumption of autonomous DEEs per unit of mileage to describe the general characteristics of urban electric buses. However, the structural mass and the key operational parameter, the nominal passenger capacity, are often disregarded. Therefore, comparing electric buses of the same type with identical dimensional parameters based solely on these criteria is illogical and incorrect. Goal. This study aims to establish criteria for the operational efficiency of urban low-floor electric buses of various types, considering autonomous DEE and their charging or replacement systems. These criteria should account for structural mass and nominal passenger capacity, facilitating a proper comparative assessment and the selection of the most optimal options for use in urban passenger transportation systems. Methodology. Criteria for the operational efficiency of city electric buses of various types are proposed based on an analysis of electricity consumption required for both movement and the operation of heating, ventilation, and air conditioning systems. The criteria consider the mass in the equipped state and the main parameter - nominal passenger capacity. Results. Several operational efficiency criteria for urban electric buses, incorporating mass parameters and passenger capacity, are suggested. The feasibility of their application is demonstrated through a comparison of five sketch projects of electric buses of various types with modern models. Originality. The proposed criteria for the operational efficiency of urban electric buses offer a method for adequately comparing any selected models, regardless of their types and technical specifications. Practical value. The proposed criteria for the operational efficiency of urban electric buses of various types can be beneficial for transport company specialists in selecting suitable rolling stock for specific routes. Additionally, design bureau and scientific and technical center specialists can utilize these criteria during the design process of new urban electric transport models.