Multi-dimensional Evaluation Model Research Articles

Evaluating multi-dimensional response capability of electric bus considering carbon emissions and traffic index

With the development of low-carbon energy, the use of thermal and hydropower units for regulation in the power system dominated by new energy (PSDNE) is decreasing. Electric buses (EBs) are expected to become the primary dispatching objects in this context. Accurately evaluation EB's response capability (RC) is vital for the scheduling operation of the PSDNE. However, current evaluation methods for EB's RC are relatively crude, lacking detailed and quantifiable measures. This paper proposes a novel multi-dimensional evaluation method to provide the aforementioned RCs. The EB operational schedule revise model considering traffic and temperature is proposed to obtain more accurate EB charging load by revise arrival charging time and remaining battery energy. The proposed EB charging model considering carbon emissions contributes to revealing the impact of various charging modes, such as low-carbon and electricity price, on the Eb's RC. The EB multi-dimensional evaluation model is established to obtain quantified and detailed RCs to support the operation of NEDPS. These capabilities include fast response within various periods, sustained response over extended durations, and remaining RC after executing scheduling instructions. Finally, using the actual data from an EB station of a city in China, the effectiveness of the proposed evaluation model is verified.

Multi-assistance systems in manufacturing - a user study evaluating multi-criteria impact in a high-mix low-volume assembly setting

Understanding how skilled workers interact with assistance systems in manufacturing and how they experience the factory environment is fundamental to modeling human interaction and optimizing the processes correctly. This paper investigates humans’ behaviors and perceived experiences while interacting with cognitive and physical assistance systems. To enable decisions about the combined use of more than one assistance system within a manufacturing process, comprehensive and comparable knowledge about the impact of applications on productivity and human factors is needed. A multidimensional evaluation model with a mixed-methods approach was developed and applied in a user study. In 300 run-throughs in six different scenarios with skilled workers and students, a questionnaire on human factors was completed after finishing the task. Furthermore, productivity and quality were measured during the study. A comparison between skilled workers and students demonstrated that the usability score of all assistance systems was rated higher among the students. The students rated the ergonomics aspects better for five out of six scenarios. Results show higher compatibility with values and experiences in all investigated combinations for skilled workers than for students. Considering the collected data among the skilled workers, the overall compatibility with experience and values of multi-assistance system scenarios was more positive than in the single-assistance system scenarios. Our results show no significant differences in ergonomics, mental, physical, and temporal workload between single and multi-assistance system settings. With 150 run-throughs of industrial professionals and campus recruits each, the survey joins only two studies with more than 100 participants. To the authors' knowledge, it is the first systematic multi-criteria evaluation for the combined use of several (cognitive and physical) industrial assistance systems. The results help to ease practitioners’ evaluation of technical support systems in manufacturing with an emphasis on multi-criteria evaluation and the consideration of interconnected (cognitive and physical) assistance systems. Furthermore, the results contribute to further research in human–machine interaction and its impact on productivity and human factors as they show potentials and prospective challenges of the implementation and application of multiple assistance systems.

Prediction of rural tourism suitability based on multi-dimensional evaluation model

There is an increased focus on how to improve tourism quality in rural areas. To provide reference and guidance for both tourists and tourism departments, a multi-dimensional tourism suitability model is proposed. Meteorological, travel and other data related to a tourism area were analysed, and a tourism suitability evaluation architecture model was developed. From February to September, when temperature fluctuations were more clearly defined, the prediction accuracy of the model was higher, while the test results of the root mean square error and other indicators of the model in meteorological prediction were good. The model had the highest prediction accuracy of 96.8% under multi-dimensional conditions. The model could provide accurate guidance for tourists to choose travel dates and destinations, further promoting rural tourism.

Multidimensional Evaluation of Urban Land-Use Efficiency and Innovation Capability Analysis: A Case Study in the Pearl River Delta Region, China

With China’s rapid industrialization and urbanization, sustainable urban development is one of the most significant challenges that the country will face in the future, and the rational evaluation and improvement of urban land-use efficiency (ULUE) are becoming crucial for land and urban development. Existing studies rarely examine ULUE, and there is a dearth of urban land use analysis in terms of different functions, regional differences in levels of development, and innovation capacity. Therefore, we take the Pearl River Delta (PRD), China’s economic and innovation center, as our research target and propose a new framework to analyze its comprehensive ULUE. First, we summarized the patterns of land-use change in the PRD region as a whole along with nine major cities from 2000 to 2020 on the basis of data from the China Land Survey. Then, we constructed a multidimensional evaluation model for ULUE and analyzed the spatial differences and causes of multidimensional performance in nine major cities. Finally, we calculated the innovation capability index of the PRD region and established a coupling coordination–evaluation model to analyze the coordination relationship between innovation capability and urban land use. The three main findings of this study are as follows. (1) The growth rate of urban land in the PRD region as a whole exhibited stage differences. (2) The comprehensive ULUE in the PRD urban agglomeration was high, and the spatial variability of functional performance in each dimension was obvious. (3) The level of coordination between innovation capability and urban land use in the PRD region was high, and the coupled coordinated development exhibited a decreasing spatial distribution pattern. Thus, the PRD region mainly relies on the cities of Shenzhen and Guangzhou to drive innovation development of the region.

The perception of the management and lower-level employees of the impacts of using Robotic Process Automation: the case of a shared services company

The increasing use of digital technologies has allowed organizations to improve their business processes, enhancing the productivity and efficiency of their operations. The implementation of Robotic Process Automation (RPA), a technology that allows replicating human actions in existing systems, given its benefits, can play an important role in achieving this goal, often referred as the digital transformation of organizations. However, the benefits of RPA implementation may not be perceived equally by managers, those responsible or that required its implementation, and lower-level employees. The work described in this paper aims not only to assess the perception that both groups have of the impacts of technology, but also to understand whether the use of robots by the employees of a shared services company positively influences their perception of the technology and whether it affects developments in additional robots in the future. A questionnaire, underpinned in a multidimensional evaluation model of the technology and given to all the company's employees, is used as the main research instrument, while results are analysed and interpreted using descriptive statistical techniques and hypothesis testing. We argue that this study may be an important contribution to the company for a better understanding of its employees' perception of RPA, allowing the tailoring of its future communication strategies to facilitate the acceptance of the technology and, thus, enhance the success and effectiveness of its implementation. Furthermore, the multidimensional evaluation model developed enhances the existing literature on the topic of RPA impacts, more specifically in terms of evaluating possible differences in perceptions between managers and other employees.

A flexible multidimensional evaluation model for the dynamic values of traditional villages: Empirical study of cases in Northern Shaanxi

A flexible multidimensional evaluation model for the dynamic values of traditional villages: Empirical study of cases in Northern Shaanxi

Expression Method and Aesthetic Expression of Fashion Design from Different Essential Perspectives

Expression method and aesthetic expression of fashion design from different essential perspectives is the main focus of this study. From ancient times to the present, people's pursuit of the natural beauty of clothing has been expressed in both the East and the West. The multi-dimensional evaluation model of clothing beauty combines various factors. It is a comprehensive evaluation model of clothing beauty. By using scientific calculation methods to evaluate clothing beauty in multiple dimensions, it helps to better integrate design into art and life. The real meaning of the beauty of simplicity in fashion design lies in respecting the existence of natural forms and focusing on the harmony of nature.

Measuring the resilience of an urban rail transit network: A multi-dimensional evaluation model

Once an urban rail transit (URT) system breaks down or is deliberately damaged, it will cause tremendous pressure on the whole urban transportation system. Hence, its ability to deal with incidents has become an important research field. Existing studies seldom consider the entire cycle of an incident and ignore changes in passenger travel behavior during emergency events. In this paper, resilience is defined as the ability of absorbing, resisting and recovering when the URT network fails. We propose a multi-dimensional evaluation model for measuring the resilience by calculating multiple abilities with consideration of multi-source data including passenger flow, train diagram, passenger travel choice behavior, network topology, etc. Finally, we present a case study based on real-world data from the Beijing Subway network to illustrate the effectiveness and applicability of the proposed model. Through the resilience analysis, we recognize the critical stations, measure emergency recovery ability and provide necessary information support for reducing the risk of URT incidents.

Research on Functional Value Estimation and Development Mode of Green Infrastructure Based on Multi-Dimensional Evaluation Model: A Case Study of China

With the rapid development of urbanization and industrial economy, urban green space and land resources have been squeezed. The problem of urban ecological environment pollution is becoming increasingly serious. With the concept of sustainable development, green infrastructure construction can not only improve the adverse effects of human activities on the urban ecological environment, it can also deal with the relationship between survival and development, economy and the environment, society, and resources. This paper used different provinces and regions of China as an example to construct a multi-dimensional evaluation model. The multi-function green infrastructure was evaluated quantitatively from three dimensions: economy, society, and ecology. The study results showed that the multifunctional development level of green infrastructure varies among different regions in China due to regional location, economic development, and natural resources. The development mode of green infrastructure in North China, South China, and Northwest China has changed from multi-functional weak and basic coordination to strong and coordinated development. Therefore, the multi-dimensional analysis of green infrastructure is helpful for systematically studying and evaluating the functional value of green infrastructure. It can be used to investigate the development models of green infrastructure in different regions, formulate green infrastructure development strategies, and provide countermeasures and suggestions for relevant government departments.

A study on the efficiency of pediatric healthcare services and its influencing factors in China ——estimation of a three-stage DEA model based on provincial-level data

The rapid development of socio-economic has challenged pediatric health services in the new era. Assessing the efficiency of pediatric health services in China and utilizing them will facilitate the continued and stable development of pediatric health services in the face of these challenges. Based on a Three-stage DEA model of generalized modified panel, this paper uses panel data from 31 provinces and cities in China from 2008 to 2019 to estimate efficiency of pediatric health services and analyze the influential factors influencing the efficiency of pediatric services. The research establishes a multi-dimensional evaluation model of input-output-environment-impact. Fully consider the transformation of input elements such as pediatric beds, technical experts, pediatric finance, and pediatric policies in technical, professional, and economic environments. And with the help of long-term and short-term service effects of pediatrics, pediatric income, pediatric infrastructure, social satisfaction and other factors to output. Objectively summarize the real service effect of pediatrics. The model corrects for the interference of technical and non-administrative factors and obtains the most realistic pediatric performance based on changing social dynamics. The study found: (1) while the efficiency of pediatric healthcare services in China's provincial areas has been increasing year by year, there are specific geographical differences, and further improvements and rational allocation of healthcare resources are needed. Among them, the southern developed regions are 16.25% higher than the average efficiency of the northern regions. The annual floating span is 9.54%. Geography is a key factor that dominates the efficiency gap.(2) There is significant redundancy and disparity in the resources invested in pediatric services, and optimization of the economic, technological, and professional environment will continue to eliminate the impact of redundancy and drive the growth of pediatric service efficiency.The redundant scale of various input elements accounted for 31.81%. It shows that nearly 30% of the input resources have not been fully utilized. Among them, the redundancy of beds is relatively small in China, only 21.77%. It shows that the construction of pediatric beds in China is relatively effective, but the pediatric redundancy in developed areas is only 3.24%, and the adjustment of input resources across regions is the key to the optimization of pediatric services. (3) Increase in the health care price index will have a negative effect on the efficiency of pediatric services. In contrast, an increase in urbanization levels, education levels, and birth rates will drive the optimization of pediatric service efficiency.

Carbon Emision Accounting Model and Multi-dimensional Evaluation of Power System with High Proportion of New Energy

The construction of novel power system with high proportion of new energy is considered to be an important way to achieve carbon reduction. In this paper, the carbon emission accounting model and multi-dimensional evaluation are proposed to promote the establishment of power system with high proportion of new energy. Firstly, the STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) carbon emission accounting model is established in this paper to analyze the influencing factors of energy carbon emission in a certain region. Then the basic characteristics of the novel power system with new energy is presented. Finally, the multi-dimensional evaluation model of power system with high proportion of new energy is put forward to clearly assess the construction process of the novel power system.

Evaluating the Success of a Project and the Performance of Its Leaders

Although organizations regularly execute projects to improve their performance, there is still no agreement in the literature on how to evaluate their eventual success. As a result, scholars end up using different scales to measure the same outcome variable of project success, thereby causing inconsistency in research results. Existing project success evaluation models suffer from their inability to apply to all project types and lack of separation of project success measurement from that of project individuals’ performance (for e.g., of the project manager). Through two longitudinal studies based on the satisficing theory, this paper develops, validates, and illustrates generic scales to measure the success of any project, as well as the performance of its two key leaders. This results in three distinct project success dimensions: 1) Project management success—evaluates the performance of the project manager in achieving the project plan; 2) Project ownership success—evaluates the performance of the project owner in realizing the business case; and 3) Project investment success—evaluates the investment performance of the project for its funder. This paper contributes to the literature by offering a theoretically robust, multidimensional evaluation model that will enhance performance evaluation of both projects and their leaders.

Brazil’s National System for the Evaluation of Higher Education: Context, Challenges and Perspectives

This article discusses the implementation of the National System for the Evaluation of Higher Education (SINAES) from its inception in 2004 to present times, giving special attention to advances achieved and to the challenges that must be met in the near future. After a discussion of higher education quality assurance from an international perspective, the text examines adjustments that have been made to operationalize the implementation of the SINAES model and then emphasizes the importance of improving the self-evaluation component of the System. The article concludes by addressing the challenges that must still be met, such as the inclusion within SINAES of state higher education systems, the improvement of indicators and external evaluators, the effective utilization evaluation results, the need to distinguish evaluation processes from regulation policies, and the possibility of transforming the existing framework into a multidimensional evaluation model.

Construction of model for multidimensional evaluation of value and risk of Chinese patent medicine

It is the core of the development for Chinese patent medicine enterprises to cultivate large varieties of Chinese patent medicine, and the selection of potential "seed" products is the prerequisite for the cultivation strategy. By constructing the evaluation model from multiple dimensions of value and risk, we can conduct specialized evaluation of Chinese patent medicines to effectively, professionally and objectively select the "seed" products with large variety cultivation potential. In this paper, the establishment of a multidimensional evaluation system would be discussed from the aspects of drug naming and prescription composition, safety risk and supply guarantee of raw materials and medicinal materials, competition situation, access to policy catalogue, scientific and technological support, clinical evidence and recognition, systematical and standardized collection of information on product instructions, quality standards, policy catalogue, scientific and technological literature, market competition and clinical application of Chinese patent medicines. Through the objective evaluation index and the range of objective index, the multi-dimensional evaluation model on values and risks of Chinese patent medicine products was discussed. Based on this model, a batch of Chinese patent medicine products can be quickly and comprehensively analyzed, and quantitative comparison can be formed among different types and fields of products. According to the evaluation results of the model and the comprehensive evaluation of experts, high-quality "seed" products can be selec-ted, laying a solid foundation for the next step of large variety cultivation. With use of this model, we can further clarify the external competitive advantages and internal priority levels of each product, and provide support for enterprises to optimize product structure and improve product strategic layout.

Transcriptomics- and metabolomics-based integration analyses revealed the potential pharmacological effects and functional pattern of in vivo Radix Paeoniae Alba administration

BackgroundRadix Paeoniae Alba (RPA) and other natural medicines have remarkable curative effects and are widely used in traditional Chinese Medicine (TCM). However, due to their multi-component and multi-target characteristics, it is difficult to study the detailed pharmacological mechanisms for those natural medicines in vivo. Therefore, their real effects on organisms is still uncertain.MethodsRPA was selected as research object, the present study was designed to study the complex mechanisms of RPA in vivo by integrating and interpreting the transcriptomic based RNA-seq and metabolomic based NMR spectrum after RPA administration in mice. A variety of dimension-reduction algorithms and classifier models were applied to the processing of high-throughput data.ResultsAmong serum metabolites, the contents of PC and glucose were significantly increased, while the contents of various amino acids, lipids and their metabolites were significantly decreased in mice after RPA administration. Based on the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases, differential analysis showed that the liver was the site where RPA exerted a significant effect, which confirmed the rationality of “meridian tropism” in the theory in TCM. In addition, RPA played a role in lipid metabolism by regulating genes encoding enzymes of the glycerolipid metabolism pathway, such as 1-acyl-sn-glycerol-3-phosphate acyltransferase (Agpat), phosphatidate phosphatase (Lpin), phospholipid phosphatase (Plpp) and endothelial lipase (Lipg). We also found that RPA regulates several substance addiction pathways in the brain, such as the cocaine addiction pathway, and the related targets were predicted based on the sequencing data from pathological model in the GEO database. The overall effective pattern of RPA was intuitively presented with a multidimensional radar map through a self-designed model which found that liver and brain were mainly regulated by RPA compared with the traditional meridian tropism theory.ConclusionsOverall this study expanded the potential application of RPA and provided possible targets and directions for further mechanism study, meanwhile, it also established a multi-dimensional evaluation model to represent the overall effective pattern of TCM for the first time. In the future, such study based on the high-throughput data sets can be used to interpret the theory of TCM and to provide a valuable research model and clinical medication reference for the TCM researchers and doctors.

Critical node identification in active distribution network using resilience and risk theory

Accurately identifying the key links in active distribution network (ADN) that affect the system's safety and stability is of great significance to improve the efficiency of operation and maintenance and risk early warning for distribution network (DN). In this study, the node resilience (NR) is first proposed as an indicator for structural stability identification of DN. Then, a critical node identification method considering the security, economy and structure stability in ADN is proposed, which uses the NR, the utility risks of branch load change, node voltage deviation and line loss variation as the identification indicators. Also, combining with subjective experience and objective data, the comprehensive evaluation method of critical nodes is improved, and the multilevel and multidimensional evaluation model of critical nodes is constructed. Furthermore, the time sequence of load change and photovoltaic output is considered. Finally, the rationality and effectiveness of the proposed method are proved by taking IEEE 33-bus system and an actual ADN as examples.

Multidimensional Evaluation Model of Elderly People's Balance Ability Based on 3D Monitoring Points

With the aging of the population becoming more and more serious, the falls of the elderly have gradually become the focus of academia. We build a multidimensional model to evaluate the walking balance ability of the elderly so as to help them correct their postures and prevent possible falls. From the perspective of the state of gravity center, gait and body features, some indicators such as envelope area of gravity center shifting and stride length are extracted to assess the stability of old people’s walking. Then entropy weight method is introduced to build the evaluation model. Finally, the validity of the model is proved by empirical analysis.

Wicked games changing the storyline of urban planning

This article addresses urban and regional planning as if a wicked game, the framework used to tackle wicked problems. The study explores the obstacles and opportunities revealed in a participatory method in wicked games called the Citizens' Jury. Citizens' Juries represent deliberative practices designed to garner the opinion of a group to serve as microcosm of the whole population affected by the issue in question. We hypothesized that deliberation encourages the creation of a collaborative playing field on which to play the wicked game and changes the storyline of the issue deliberated upon. The analysis was conducted through an evaluative orientation built on the multidimensional evaluation model. The results indicate that Citizens' Juries faced four main obstacles to including citizens in the wicked games arena. In addition, some opportunities were also found.

Multi-dimensional Evaluation Model of E-commerce Industrial Chain

As for the serious impediment of credit to the rapid development of e-commerce cooperative management, this paper proposes the multi-dimensional evaluation model of the cooperative management of e-commerce based on credit, from the dimensions of the identification of the mechanism of the e-commerce industrial chain, the comprehensive strength of enterprise, enterprise credit score, etc. For different dimensions, this paper puts forward a reasonable calcula- tion method, strives to implement differentiated management for different companies and gives some suggestions on re- wards and punishments.

Research on Developing Route of the New Energy Vehicle Technology in China

In this paper, multidimensional evaluation model is made to select and analysis the new energy vehicles developing direction, namely to maturity, cost, energy resources, pollution and greenhouse gas emissions, energy efficiency and technical characteristics. And the research results show that, China should take the new energy vehicle technology line with "oil-electric hybrid, pure electric, improved hybrid- hydrogen fuel cell (hydrogen power), rechargeable hybrid" as the main line, and adjustment should be made with the technology innovation, industrial development, conditions and so on.