Evaluation Index System Research Articles

A Comprehensive Evaluation Method for Environmental Pollution in Tourist Attractions Based on Improved Principle Component Analysis

In order to address the problem of the reliability of current environmental pollution assessment methods, a comprehensive assessment method of environmental pollution in tourist scenic spots based on improved principle component analysis was proposed. First air, water, and soil pollution for data tourist attractions in the top 5 metropolitan cities of India are collected. Then, the original pollution data is cleaned, the data clustering method is used to classify the pollution data, and the comprehensive evaluation index system of environmental pollution in tourist attractions is established. Finally, the comprehensive evaluation method is implemented to calculate the evaluation values of various indicators, and the comprehensive assessment results of pollution at tourist attractions are obtained. The experimental results show that the correlation of the evaluation index is always controlled above 0.90, the convergence rate of the method is fast, the optimal solution can be approached within 150 iterations, and the application effect is good.

Does digital technology promote ecological civilization construction? Evidence from China.

With the rapid development of digital technology, it is of great significance to make good use of digital technology to accelerate the green transformation of production and lifestyle and promote the ecological civilization construction (ECC). This study first analyzes the impact mechanism of digital technology on ECC. Secondly, this study constructs evaluation index systems and measures the level of digital technology and ECC in 31 provinces of China, from 2011 to 2022. Thirdly, using a two-way fixed effect model, spatial spillover effect model, and threshold effect model, this study explores the promoting effect of digital technology on ECC. The main research conclusions include the following: (1) digital technology significantly promotes ECC, and regional heterogeneity exists in the promoting effect, manifested as western > central > eastern. (2) The promoting effect of digital technology on ECC has a significant spatial spillover effect. (3) When the three threshold variables of industrial structure, education level, and R&D investment cross the threshold value, the promoting effect of digital technology is significantly enhanced. However, when fiscal decentralization crosses the threshold value, the promoting effect of digital technology is significantly weakened. Based on the above research conclusions, this study identifies some policy implications.

Research on intelligent building decoration design and user experience based on VR technology

The continuous development of virtual reality (VR) technology has been widely used in all walks of life, bringing unprecedented design possibilities and user experience improvement to the field of architectural decoration design. This paper aims to explore how to use VR technology for intelligent building decoration design and evaluate its impact on user experience through empirical research. Firstly, through the review of relevant literature at home and abroad, the application status and development trend of VR technology in architectural decoration design is sorted out. Then, the design process and implementation scheme based on VR technology are introduced in detail, and the design framework suitable for different application scenarios is constructed. Then, through the design of the user experience evaluation index system, using the combination of qualitative and quantitative methods, the intelligent decoration design scheme based on VR technology is systematically evaluated. Finally, select a typical case for in-depth analysis, show the application effect of VR technology in actual projects, and summarize the feedback of users. The research results show that the intelligent building decoration design based on VR technology can not only improve the design efficiency and quality but also significantly enhance the user's sense of immersion and satisfaction, providing a new perspective and development direction for future architectural design. In addition, this paper also points out the challenges in this field and the possible research directions in the future, which provides a valuable reference for subsequent scholars.

Intelligent Evaluation Method of Interactive Experience Aesthetics Based on Eye Movement Data

The traditional intelligent evaluation method of interactive experience aesthetics has the problems of low evaluation accuracy and long evaluation time. In order to solve these problems, this paper proposes an intelligent evaluation method of interactive experience aesthetics based on eye movement data. Based on three kinds of eye movement data indicators, namely, search index, processing index and other indicators, an intelligent evaluation index system of interactive experience aesthetics is constructed according to the principles of rationality of interaction mode, conformity of information structure with users’ habits and consistency of interface. Seven intelligent evaluation indexes of interactive experience aesthetics, such as density, vertical symmetry and balance, are obtained according to the evaluation index results. The obtained evaluation indexes are preprocessed by cluster analysis. According to the preprocessing results, an intelligent evaluation model of interactive experience aesthetics is constructed by the entropy method, and the evaluation results are obtained. The experimental results show that the proposed method has high accuracy and a short evaluation time.

Evaluation of the Smart Logistics Based on the SLDI Model: Evidence from China

Smart logistics (SL) reflects the digital transformation of the logistics industry, which is key for economic development. Most evaluations are based on the application of technology in SL, and few studies have evaluated SL from a comprehensive perspective. The paper builds the SL development index (SLDI) model from five dimensions based on the driving force, pressure, state, impact, and response (DPSIR) model and identifies the indicator weight by the entropy weight technique. The paper employs the ETDK method, a combined quantitative approach that incorporates entropy weight (E), the technique for order preference by similarity to an ideal solution (TOPSIS) (T), the Dagum Gini coefficient (D), and Kernel density estimation (K), to calculate the closeness degree, analyze spatial-temporal differentiation, and explain the distribution characteristics using data from China spanning 2013 to 2021. The findings show that (1) The SL evaluation is multidimensional and cannot be evaluated only based on technical indicators. A comprehensive evaluation indicator system is necessary. (2) A combined quantitative approach can measure SL development from multiple perspectives and get a clearer picture of the characteristics and regional differences of SL. (3) Influenced by economic development, infrastructure, regional clusters, location, talent, etc., the overall SL development is improving yearly, but SL development in different regions is unbalanced and has different distribution characteristics. The SLDI model developed in this paper will provide a more scientific and reasonable tool for comprehensively evaluating SL. The findings are helpful in proposing suggestions and optimization approaches for subsequent research on SL evaluation and development.

Differential Evaluation of Ecological Resilience in 45 Cities along the Yangtze River in China: A New Multidimensional Analysis Framework

The rapid pace of urbanization and global climate change necessitates a thorough assessment of urban ecological resilience to cultivate sustainable regional ecosystem development. Cities along the Yangtze River face an intensifying conflict between ecological preservation and socio-economic growth. Analyzing the ecological resilience of these urban centers is essential for achieving equilibrium in regional urban ecosystems. This study proposes a “system process space” attribute analysis framework, taking into account urban development processes, ecosystem structure, and resilience evolution stages. Utilizing data from 45 Yangtze River cities, we establish a “Driver, Pressure, State, Impact, and Response” (DPSIR) evaluation index system to evaluate changes in ecological resilience levels and evolution trends from 2011 to 2022. Our findings indicate that: (1) The ecological resilience index of Yangtze River cities increased from 0.177 to 0.307 between 2011 and 2022, progressing through three phases: ecological resilience construction, rapid development, and stable development. (2) At the city level, ecological resilience along the Yangtze River exhibits uneven development characteristics. Upstream cities display a significant “stepped” pattern, midstream cities exhibit a significant “Matthew effect”, and downstream cities present a pyramid-shaped pattern. While regional differences in ecological resilience persist, overall polarization is gradually decreasing, intercity connections are strengthening, and there is a growing focus on coordinated regional development. (3) The spatial distribution of ecological resilience in Yangtze River cities demonstrates both continuity and evolution, generally forming a “core-edge” clustered pattern. Based on these findings, we recommend enhancing inter-city cooperation and connectivity, addressing imbalances in urban ecological resilience, and promoting high-quality ecological resilience development along the Yangtze River through tailored development strategies for each city.

The coordinated relationship and interactive response between urban quality of life and eco-efficiency in China

It is crucial to clarify the interaction mechanism between quality of life (QOL) and eco-efficiency (EE) to achieve high-quality urban development. This study investigated the complex and dynamic interaction and coupling process between QOL and EE. By constructing two evaluation index systems, this study obtained the values of QOL and EE levels in 282 cities from 2008 to 2020. Then, the interactive relationship between QOL and EE was investigated from two perspectives: static coupling and dynamic coupling. The different development types were classified according to the regional differences between them. The results show that: (1) From 2008 to 2020, the value of QOL gradually increased, while the EE exhibited a “V-shaped” change. Medium to high levels of QOL were located in cities in the eastern coastal area, while low levels were distributed in the western, central and northeastern regions. Furthermore, medium to high levels of EE were distributed in cities in the eastern coastal and southwestern regions, whereas low levels were found in the central and northwestern regions; (2) Overall, the coupled coordination of QOL and EE got better from 2008 to 2020, showing that the relationship between them was close and that the coordination gradually got better. Consequently, the spatial change of the coupled coordination was more pronounced, the number of mildly uncoordinated cities was gradually decreasing, urban development was shifting from uncoordinated to coordinated, and the clustering characteristics of the coupled coordination degree were consistent with the spatial change characteristics; (3) Moreover, there was a Granger causality relationship between QOL and EE. This means that the degree of their mutual influence increased over time, while their development became less dependent on inertia, with obvious interaction characteristics; and (4) The values of integrated QOL and EE were separately clustered and combined with the type of coupled and coordinated urban development based on their development stage. Therefore, the research area was divided into three types: “optimization and upgrading,” “continuous improvement,” and “cultivating development.”

Digital Sharing of Social Public Resources and Its Influencing Factors: Insight from China

Digital sharing of social public resources (SPRs) is an approach of resource-allocation that can effectively compensate for the limitations of time, space and communication modes in accessing SPRs and achieve the balanced allocation of them. The purpose of this paper is to study the development level of digital sharing of SPRs and its influencing factors. The panel data of 31 Chinese provinces from 2015 to 2020 are collected. A comprehensive evaluation index system for digital sharing of SPRs is constructed to evaluate its development level using the Global Entropy Weight Method (GEWM). And the influencing factors of the sharing level are systematically identified based on the stepwise regression model. The results show that: the development level of digital sharing of SPRs varies significantly among Chinese provinces and cities, but the overall development level is gradually increasing. The government fiscal expenditure capacity, industrial structure, regional economic development level, scientific and technological innovation capacity, and urbanization level can promote the digital sharing of SPRs. The degree of external openness and regional population size have negative effects on the digital sharing of SPRs.

Construction of an Evaluation Index System for Innovation and Entrepreneurship Education in Vocational Colleges from Students’ Perspective

Innovation and entrepreneurship education is an essential content in the current teaching of colleges and universities and an important driving force to promote students’ employment. Currently, colleges and universities continue to strengthen the innovation of innovation and entrepreneurship teaching, and the construction of the evaluation system of innovation and entrepreneurship education is lagging. The evaluation system is an important evaluation standard for innovation and entrepreneurship teaching and the basis for educational innovation, which is also a critical part of teaching that requires attention. This paper takes the construction of the evaluation index system of innovation and entrepreneurship education in vocational colleges as the research goal and understands the function of innovation and entrepreneurship evaluation as well as the evaluation principle through the literature analysis method. It also analyzes the evaluation index system of innovation and entrepreneurship teaching from students’ perspective to provide an effective reference for the implementation of innovation and entrepreneurship education in higher vocational colleges.

Construction of an index system of core competence assessment for sleep medicine nurse specialists in China: a Delphi study

AimTo construct an evaluation index system for the core competence of nurses in sleep medicine specialties.BackgroundSpecialized nurses in sleep medicine must handle treatment, nursing, and management well, which requires nurses to have excellent competence in knowledge, skills, and ability. However, a competency evaluation system for sleep medicine nurses has not been established in China.MethodsWe used a literature review and an expert meeting to establish a draft indicator system. Subsequently, two rounds of correspondence were conducted with 27 experts from 5 provinces using the Delphi method to solicit their opinions on the core competency evaluation indicators for sleep medicine nurse specialists and to qualitatively evaluate the experts’ scores. The consensus was defined in advance as a mean score of 4.0 or above, with at least 75% agreement among participants. In this way, the final indicator framework was determined.ResultsThe final evaluation indexes of the core competencies for sleep medicine Nurse Specialists included 6 first-level indexes (Practical ability, Theoretical Knowledge, Critical thinking, Communication and coordination, Nursing Management, and Professional Development), 16 s-level indexes, and 64 third-level indexes. The effective response rates of the two expert consultation rounds were 100%. The expert authority coefficients were 0.878 and 0.865 in the first and second rounds of consultation, respectively. In the second round of consultation, the first, second, and third indexes of Kendall’s coefficient of concordance were 0.373, 0.351, and 0.286, respectively (P < 0.05).ConclusionThe core competence evaluation index system for sleep medicine nurses established in this study is scientific and reliable and can provide a theoretical reference for the training, assessment, and evaluation of sleep medicine nurses in the future.Implications for nursing managementThe evaluation index system of sleep medicine nurses’ core competence will provide an effective practical framework for nursing management to evaluate, train, and examine the core competence of sleep medicine nurses.

Literature Review on the Evaluation of Innovation Capability of Enterprise

This paper summarizes the research status of innovation capability of enterprise, reviews the importance of enhancing the capability of independent innovation as a national development strategy. In particular, the Wenzhou government attaches great importance to innovation and the promotion of "Science and Technology Innovation Index".This paper systematically combs the innovation theory, the Delphi method and other related theories, analyzes the development trend of innovation theory research, innovation capability index construction and evaluation method at home and abroad. Through literature review, this paper summarizes the multi-dimensional index system of enterprise innovation capability evaluation, including innovation input, output, research and development, environment and so on, and discusses the application of subjective and objective evaluation methods.Finally, it points out the shortcomings of the current research, and provides a theoretical basis and direction guidance for the follow-up research on the evaluation of enterprise innovation capability.

A hybrid BWM–CRITIC–VIKOR approach for assessing oil and gas risk scenarios in probabilistic linguistic term set

The oil and gas industry plays a crucial role in supporting energy supply and economic development. Mitigating risks in oil and gas projects is essential for reducing decision-making uncertainties, optimizing resource allocation, and fostering the competitiveness and sustainable growth of enterprises. Therefore, evaluating decision-making risks in the oil and gas sector is of significant practical importance. This paper proposes a comprehensive approach based on the BWM–CRITIC–VIKOR multi-criteria decision-making (MCDM) evaluation model. An evaluation index system encompassing six critical dimensions—technology, economics, environment, security, societal impact, and political factors—is established. To enhance assessment precision, the AHP interval estimation method is employed to identify and eliminate indicators with low contributions. Subsequently, the probabilistic linguistic term set (PLTS) is introduced into the best–worst method (BWM) and CRITIC methods to calculate the weights for each index. This approach helps to circumvent the subjectivity inherent in single subjective weighting methods. To evaluate and rank alternatives, the PLTS is used as an evaluation linguistic tool within the VIKOR framework. Finally, this methodology is applied to decision-making in the oil and gas industry, and its effectiveness and superiority are compared with the AHP–TOPSIS method and the BWM–CRITIC method.

Bidirectional evaluation and differentiation analysis of marine economic resilience in China

With the continuous improvement of the marine economy, the role of marine economic resilience is becoming ever more prominent. This study evaluates China’s marine economic resilience based on a bidirectional evaluation index system, and analyzes spatiotemporal characteristics and regional differences. The results show that: (1) marine economic resilience is increasing in the system object dimension and the resilience attribute dimension in China. Strengthening the protection of marine resources and the environment is important for improving marine economic resilience; (2) the development of marine economic resilience among 11 coastal provinces is unbalanced, forming a three-polar pattern with Shandong as the core in the north, Shanghai as the core in the east, and Guangdong as the core in the south; (3) the difference between the northern marine economic circle and the southern marine economic circle is the main reason for the overall difference.

Multi-Trajectory Planning Control Strategy for Hydropower Plant Bridge Crane Based on Evaluation Algorithm

Currently, the research on crane trajectory planning mostly aims to, first, plan the trajectories of the crane and the trolley, and then to use a trial-and-error method or optimization algorithm to iteratively calculate the optimal trajectory parameters under the control of the optimal trajectory parameters to achieve the suppression of the swing angle. However, research on the fusion application of multi-trajectory planning algorithms is very rare. In addition, the existing methods are not suitable for the special operation control of hydropower plant bridge cranes. Based on the application scenario of hydropower plant bridge cranes, this paper proposes a comprehensive multi-trajectory control strategy based on the entropy weight technique for order preference, similarly to the ideal solution (TOPSIS) evaluation method. Specifically, the kinematic analysis of the crane is carried out and the trajectory evaluation index system is established. Secondly, under the walking constraint condition, four different trajectory planning algorithms are used to obtain the crane trajectory curve. In order to ensure the accuracy and comprehensiveness of the evaluation, the evaluation data are obtained through the Adams motion simulation platform. Finally, based on the entropy weight TOPSIS evaluation method, the optimal walking trajectory for each displacement is selected. The simulation and experimental results show that the evaluation method can select the optimal trajectory based on the motion characteristics of the trajectory algorithm in different displacement conditions, effectively reducing the load swing during the walking process of the crane and improving the positioning accuracy.

Comprehensive evaluation of rural regional integrated clean energy systems considering multi-subject interest coordination with pythagorean fuzzy information

In the development of a comprehensive clean energy system in rural areas, how to evaluate it scientifically and effectively is an urgent problem to be solved. Artificial intelligence has already been widely applied in the field of energy technology, but its application in the comprehensive benefit evaluation is still insufficient. The purpose of this study is to conduct a comprehensive evaluation of the rural, regional integrated clean energy system with coordinated multi-subject interests. Firstly, the interest relationship between the subjects of the participating rural regional comprehensive clean energy system is analyzed. And, the comprehensive benefit evaluation index system is established based on farmers, rural grid, new energy investment operators, government and interest subject reciprocity partners. Secondly, Sugeno-Weber aggregation operators are more flexible and used to acquire smooth aggregated outcomes from a group of information in a single set. Moreover, an algorithm of the multi-attribute decision-making process also reveals the supremacy and reliability of the research work. A case study is established to evaluate the rural integrated clean energy system with coordinated multi-subject interests. The results are as follows. The index system reflects the characteristics of the comprehensive clean energy system in rural areas, such as environmental characteristics, economic characteristics, safety characteristics and clean energy characteristics. The advantages and validity of developed research work are proved by comparing the findings of pioneered approaches with existing mathematical operators. The ranking of suitable energy sources is Solar power > Biomass energy > Geothermal energy > Wind and hydropower based integrated clean energy system.

The Innovative Construction of Provinces, Regional Artificial Intelligence Development, and the Resilience of Regional Innovation Ecosystems: Quasi-Natural Experiments Based on Spatial Difference-in-Differences Models and Double Machine Learning

Based on the theory of regional innovation niches, this study calculates the resilience of regional innovation ecosystems and constructs a comprehensive evaluation index system for regional artificial intelligence development, resulting in a panel dataset for 30 provinces in China from 2009 to 2021 (excluding Tibet, Hong Kong, Macao, and Taiwan). Within the framework of the construction of innovative provinces, regional artificial intelligence, and the resilience of regional innovation ecosystems, spatial double-difference and double machine learning models are employed for a quasi-natural experiment. The main research conclusions are as follows: (1) Both the construction of innovative provinces and artificial intelligence have a significant positive impact on the resilience of regional innovation ecosystems. (2) However, regional artificial intelligence exhibits a negative spatial spillover effect on the resilience of regional innovation ecosystems. (3) The construction of innovative provinces can positively moderate the effect of artificial intelligence on the resilience of regional innovation ecosystems. (4) Through the promotion of regional artificial intelligence, the construction of innovative provinces can indirectly enhance the diversity, evolutionary potential, buffering capacity, fluidity, and coordination of regional innovation ecosystems, thereby driving a leap in resilience. (5) The mechanisms by which the construction of innovative provinces stimulates regional intelligent input, application, innovation, and market dynamics to further enhance the resilience of regional innovation ecosystems are effective not only in the treatment group but also in the control group.

Evaluation Method of Residents’ Satisfaction with Healthcare Consumption Based on Data Mining and Knowledge Mapping

Residents’ healthcare consumption involves many aspects such as residents’ expectations, medical institutions’ reputation, and residents’ trust, resulting in a large difference between the evaluation results and the actual value, and low residents’ satisfaction. Therefore, a method for evaluating residents’ satisfaction with healthcare consumption based on data mining and knowledge mapping is proposed. Under the framework and connotation of evaluation indicators, the evaluation indicator system of residents’ satisfaction with healthcare consumption is constructed to obtain evaluation indicators; the AHP method was used to calculate the weight of the above indicators of residents’ satisfaction with healthcare consumption; combined with the index weight, the improved hierarchical clustering method in data mining is used to cluster the evaluation indexes of residents’ satisfaction with healthcare consumption; according to the clustering results, an evaluation model was built through the knowledge map to evaluate the residents’ satisfaction with healthcare consumption. The experimental results show that the evaluation value of residents’ satisfaction with healthcare consumption is basically consistent with the actual value, and residents’ satisfaction is high.

Unraveling the complex interconnections between food-energy-water nexus sustainability and the supply-demand of related ecosystem services

Matching the supply and demand of related ecosystem services can be an effective way to realize long-term sustainable management of the food-energy-water nexus (FEW Nexus) in drylands. However, few studies have focused on the matching of supply and demand for ecosystem services associated with advancing the sustainability of FEW-Nexus, there is limited research in this domain, which lacks systematic and quantitative analysis of the relationship between them and FEW Nexus sustainability. Here, this research takes the West Liaohe River Basin in the arid region of China as a case study. Based on a localized FEW Nexus sustainability evaluation index system, the FEW Nexus sustainability and the supply-demand matching characteristics of the corresponding ecosystem services in the West Liaohe River Basin from 2005 to 2015 were assessed. The relationship between them was analyzed quantitatively through the methods of coupling coordination degree and geographical detector. The results showed a synergistic improvement in both FEW Nexus sustainability and the supply-demand situation of combined ecosystem services. The supply of food production and water yield were able to meet their demands adequately from 2005 to 2015, with a strengthening surplus, leading to an overall surplus and gradual improvement in the integrated ecosystem services. This surplus synergistically promoted the process of FEW Nexus sustainability. The results of the geographical detector indicate that the supply-demand ratio of carbon sequestration was the main factor influencing FEW Nexus sustainability. Areas with higher FEW Nexus sustainability tended to have larger deficits in carbon sequestration, which was more evident in areas with high levels of urbanization. Therefore, the key to enhancing FEW Nexus sustainability in the basin is to balance the supply of and demand for carbon sequestration services. Overall, the present study not only provides a basis for strengthening the management of the supply-demand of ecosystem services associated with FEW to achieve regional sustainable development, but also offers insights into how the growing demand for the FEW Nexus is exerting pressure on the balance between supply and demand of related ecosystem services.

Comprehensive Evaluation of Urban Renewal Based on Entropy and TOPSIS Method: A Case of Shandong Province

This study offers a comprehensive evaluation of urban renewal efforts in Shandong Province, China, by employing the entropy method combined with the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). An evaluation index system was constructed to assess the weights of key factors influencing urban renewal, including the renovation of old residential areas, improvement in sewage treatment quality, development of sponge cities, adoption of clean heating, and enhancement of air quality. Analysis of 16 prefecture-level cities in 2019 reveals significant disparities in performance, with Jinan achieving the highest ranking due to notable improvements in infrastructure and environmental management. Meanwhile, other cities displayed varying levels of success, reflecting different developmental stages and capacities. The findings underscore the necessity for tailored strategies to optimize urban renewal outcomes, focusing on high-weight factors such as sewage treatment, clean heating, and residential renovation. This study provides actionable insights for policymakers, advocating adaptive renewal strategies that align with local contexts and encourage continuous innovation. The results highlight the importance of targeted policy interventions to enhance urban renewal quality across Shandong Province, promoting sustainable urban development and better living standards.

Building an evaluation index system of musical collaborative capacity for China’s compulsory music education: Using a combined Delphi method and Analytic Hierarchy Process approach

The latest version of China’s National Compulsory Education Curriculum Programme and Standards 2022 (hereafter CECPS 2022) emphasises the cultivation of students’ collaborative capacities, mentioning ‘ carrying out the core literacy effectively’. From the perspective of music education, this study summarises the requirements for collaborative activities in compulsory courses of the music discipline within CECPS 2022 in the light of Social Interdependence Theory, and builds an Evaluation Index System of Collaborative Capacity (hereafter EISMCC) by employing the Delphi method and an Analytic Hierarchy Process approach. After 3 rounds of expert consultations and revisions, it was found that EISMCC in compulsory music education is comprised of 3 first-level indices, 7 second-level indices and 20 third-level indices. The index framework and the results of the weight distribution with reliable quality reflect the experts’ emphasis on the process, goal orientation and synergistic interaction of collaborative activities in music learning. The whole system considers people’s general understanding of collaborative capacity, the calls within CECPS 2022 for collaborative music activities, and the practical demands of music teaching in compulsory education. This study provides a theoretical basis, a design process paradigm, practical guidance and a valid tool for the evaluation of collaborative capacity in compulsory education.