A study on the spatial and temporal evolution of urban shrinkage and its influencing factors from a multidimensional perspective: A case study of resource-based cities in China

With social and economic environment changes occurring in the world and deepening of the urbanization process, China’s urban development exhibits a new phenomenon of growth and shrinkage fluctuations. The resource-based city shrinkage phenomenon is particularly prominent. Research on the commonalities and patterns of similar groups should be enhanced. We constructed an urban shrinkage evaluation index system from the three dimensions of population, economy and space. Accordingly, we explored the spatiotemporal evolution characteristics of 175 resource-based cities in China from a multidimensional perspective with the entropy method, shrinkage model and transfer matrix method. The results indicated that most resource-based cities in China occurred in the non-shrinking state, but their development speed gradually decreased or even presented stagflation. The shrinkage measure-related results in the different dimensions revealed that the number of shrinking cities is increasing. The population, economic and comprehensive shrinkage levels were mainly slight and remained stable. The number of cities experiencing moderate and severe shrinkage was relatively small and mostly encompassed short-term shrinkage. Spatial shrinkage demonstrated a clear administrative hierarchy difference. Moreover, the spatial distribution range of shrinking cities in each dimension expanded and exhibited obviously similar characteristics, i.e., shrinking cities were relatively concentrated in Northeast China, while they were more scattered in other regions. Furthermore, the geodetector technique was applied to reveal the influencing factors of resource-based city growth and shrinkage. Based on the results, the change in the secondary industry output value share at the start of the study was the primary factor. The impact of each employment structure indicator from 2014 to 2018 was particularly significant. Comprehensive exploration of the shrinkage characteristics of this particular group of cities and their development behavior from a multidimensional perspective can provide an important reference for the transformation and high-quality development of resource-based cities.

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Exploring the Human Capital Development Dimensions of Chinese Investments in Africa: Opportunities, Implications and Directions for Further Research

Journal of Asian and African Studies ◽

10.1177/0021909618801381 ◽

2018 ◽

Vol 54 (2) ◽

pp. 189-210 ◽

Cited By ~ 2

Author(s):

Motolani Agbebi

Keyword(s):

Human Capital ◽

Three Dimensions ◽

Human Capital Development ◽

Study Approach ◽

Working Hypothesis ◽

Research Areas ◽

Economic Engagement ◽

Capital Development ◽

The Impact

This article uses a case-study approach to discuss the effects of Chinese economic engagement on three dimensions of human capital development: local employment, training and skill building, and knowledge and technology transfer. The study findings suggests that Chinese economic engagement can and does contribute to human capital development in Africa; however, this is dependent on certain sectoral factors and contextual conditions. This study advances a working hypothesis that the human capital development impact of Chinese economic engagement will vary across countries and sectors of the African economy. This working hypothesis seeks to guide further research towards developing a theoretical framework for the study of Chinese economic engagement in Africa and its effects on human capital development. The article also identifies research areas that should be further explored in order to gain a deeper understanding of the impact of Chinese economic engagement in Africa.

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Comprehensive Evaluation of the Provincial Sustainable Tourismization Level in China and Its Temporal and Spatial Differences

Sustainability ◽

10.3390/su131810475 ◽

2021 ◽

Vol 13 (18) ◽

pp. 10475

Author(s):

Yuwei He ◽

Hui Zhang

Keyword(s):

Regional Differences ◽

Comprehensive Evaluation ◽

Temporal Distribution ◽

Entropy Method ◽

Evaluation Index System ◽

Three Dimensions ◽

Theil Index ◽

Eastern Region ◽

Development Mode ◽

Policy And Strategy

Sustainable tourismization is a favorable development mode and pathway for the promotion of the coordinated development of the economy, society, and ecology. Based on the connotations of tourismization, a comprehensive evaluation index system of sustainable tourismization was constructed. This system consists of three dimensions: consumption tourismization, spatial tourismization, and industrial tourismization. The level, spatial, and temporal distribution characteristics, and differences in sustainable tourismization among China’s provinces from 2009 to 2018 were measured and analyzed using the improved entropy method, the Theil index, a spatial autocorrelation analysis, and other methods. It was found that the level of provincial sustainable tourismization in China has steadily increased over time, with the eastern region taking the lead. The overall differences and inter-regional differences in terms of the provincial sustainable tourismization level have generally decreased year-by-year. The intraregional differences within the eastern region were found to be the largest, and the rate of contribution of inter-regional differences to overall differences was shown to decrease gradually, while the rate of contribution of intraregional differences within the western region increased gradually. A positive spatial correlation in the provincial sustainable tourismization level was identified, and the spatial agglomeration effect showed an increasing trend. The spatial dependence was mainly characterized by “high–high” (HH) agglomeration, showing a ladder difference of “higher in the east and lower in the west”. The results of this study were used to identify where emphasis should be placed in terms of policy and strategy.

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Introducing Sustainability in a Robotic Engineering Degree: A Case Study

Sustainability ◽

10.3390/su12145574 ◽

2020 ◽

Vol 12 (14) ◽

pp. 5574 ◽

Cited By ~ 1

Author(s):

Francisco A. Pujol ◽

David Tomás

Keyword(s):

Climate Change ◽

Sustainable Development ◽

Environmentally Friendly ◽

Female Students ◽

Three Dimensions ◽

Male Students ◽

Economic Aspects ◽

Engineering Degree ◽

The Impact

This paper describes a group activity concerning the topic of climate change, designed to introduce the concepts of sustainable development into a Robotic Engineering degree. The purpose of this activity was to make students reflect about the impact of their work on the planet as future engineers by asking them to design an environmentally friendly robot that also integrated social and economic aspects, covering the three dimensions of sustainability in this way. Students were surveyed in order to study different aspects of their commitment, attitudes, practices, and motivation towards sustainability. In addition to the overall analysis of the survey, three specific studies were carried out with the aim of comparing the responses of different population groups: (i) Students who completed the proposed assignment and students who did not, (ii) female and male students, and (iii) roles played in the assignment. The results of the analysis revealed the high commitment of the students with respect to sustainability, but also a lack of active participation and awareness of their impact as future engineers. The activity was not only a way to introduce sustainability concepts, but in many cases, it also became a motivation for the participants, especially for the female students.

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Blockchain crowdfunding projects evaluation using GRA-TOPSIS

Kybernetes ◽

10.1108/k-02-2020-0067 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Chunxia Yu ◽

Yi Leng ◽

Jing Li ◽

Jiacheng Yu

Keyword(s):

Human Resources ◽

Entropy Method ◽

Evaluation Index System ◽

Three Dimensions ◽

Evaluation Index ◽

Content Type ◽

Integrated Method ◽

Evaluation Approach ◽

Fuzzy Environment ◽

Operation Process

Purpose This paper aims to propose a novel blockchain crowdfunding projects evaluation approach using extended techniques for order preferences by similarity to ideal solution (TOPSIS) under fuzzy environment. Design/methodology/approach By analyzing the characteristics and operation process of blockchain crowdfunding model, this paper formulates the evaluation index system from three dimensions of human resources, capital and publicity. In addition, the entropy method is used to calculate the weight of each indicator to avoid subjective judgments; different alternatives are evaluated using the grey correlation analysis (GRA) and TOPSIS-integrated method which considers the distance and similarity between alternatives simultaneously. Findings By analyzing the characteristics and operation process of blockchain crowdfunding model, this paper formulates the evaluation index system from three dimensions of human resources, capital and publicity. In addition, the entropy method is used to calculate the weight of each indicator to avoid subjective judgments; different alternatives are evaluated using the GRA and TOPSIS-integrated method which considers the distance and similarity between alternatives simultaneously. Originality/value Blockchain crowdfunding has become a new model for fund-raisers to raise funds from public investors. This paper proposes a novel blockchain crowdfunding projects evaluation approach using extended TOPSIS under fuzzy environment.

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Evaluating Energy Sustainability Using the Pressure-State-Response and Improved Matter-Element Extension Models: Case Study of China

Sustainability ◽

10.3390/su11010290 ◽

2019 ◽

Vol 11 (1) ◽

pp. 290 ◽

Cited By ~ 5

Author(s):

Shuyu Li ◽

Rongrong Li

Keyword(s):

Quantitative Methods ◽

Evaluation Index System ◽

Three Dimensions ◽

Energy Sustainability ◽

Weighting Method ◽

Energy And Environment ◽

State Response ◽

Energy Evaluation ◽

Pressure State

Most existing studies on energy sustainability have focused on qualitative research. Few studies have applied quantitative methods, and there has not been a systematic review of energy sustainability. To fill this gap, this study first developed a sustainable energy evaluation index system consisting of 20 indicators across the three dimensions of economy, energy, and environment based on the pressure-state-response (PSR) model. The weights of these indicators were then determined in conjunction with the weighting method. Finally, the matter-element extension method was improved to quantify energy sustainability. The proposed method was applied to evaluate China’s energy sustainability status from 2000 to 2015. The results show that China’s status continued to improve; however, it remained at a low level. To improve China’s energy sustainability, more efforts are needed in the economic, energy, and environmental dimensions.

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The Impact of Ingredient Manufacturer’s Procedure Adaptability on Ingredient Brand Value: The Case of a Computer Manufacturer

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1014.543 ◽

2014 ◽

Vol 1014 ◽

pp. 543-546

Author(s):

Lei Huang

Keyword(s):

Three Dimensions ◽

Brand Value ◽

The Impact

This paper focus on the difficult of ingredient manufacturers in our country, based on the relevant theories of manufacturer’s procedure adaptability and brand value for client, and takes case study on Quanta Computer and draws the conclusion that ingredient manufacturer’s procedure adaptability influence three dimensions of its brand value for client differently. Then, the paper constructs the ingredient suppliers’ brand value under the impact of procedure adaptability. The conclusion offers practical propositions for ingredient suppliers in our country.

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Towards a Consistent Interpretation of AIOps Models

ACM Transactions on Software Engineering and Methodology ◽

10.1145/3488269 ◽

2022 ◽

Vol 31 (1) ◽

pp. 1-38

Author(s):

Yingzhe Lyu ◽

Gopi Krishnan Rajbahadur ◽

Dayi Lin ◽

Boyuan Chen ◽

Zhen Ming (Jack) Jiang

Keyword(s):

Learning Community ◽

Time Consistency ◽

Three Dimensions ◽

Data Sampling ◽

Service Failures ◽

Model Interpretation ◽

Feature Importance ◽

External Consistency ◽

The Impact

Artificial Intelligence for IT Operations (AIOps) has been adopted in organizations in various tasks, including interpreting models to identify indicators of service failures. To avoid misleading practitioners, AIOps model interpretations should be consistent (i.e., different AIOps models on the same task agree with one another on feature importance). However, many AIOps studies violate established practices in the machine learning community when deriving interpretations, such as interpreting models with suboptimal performance, though the impact of such violations on the interpretation consistency has not been studied. In this article, we investigate the consistency of AIOps model interpretation along three dimensions: internal consistency, external consistency, and time consistency. We conduct a case study on two AIOps tasks: predicting Google cluster job failures and Backblaze hard drive failures. We find that the randomness from learners, hyperparameter tuning, and data sampling should be controlled to generate consistent interpretations. AIOps models with AUCs greater than 0.75 yield more consistent interpretation compared to low-performing models. Finally, AIOps models that are constructed with the Sliding Window or Full History approaches have the most consistent interpretation with the trends presented in the entire datasets. Our study provides valuable guidelines for practitioners to derive consistent AIOps model interpretation.

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ANALYZING IMPACT FACTORS OF AIRPORT TAXIING DELAY BASED ON ADS-B DATA

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-2-w7-1251-2017 ◽

2017 ◽

Vol XLII-2/W7 ◽

pp. 1251-1255 ◽

Cited By ~ 1

Author(s):

J. Li ◽

X. Wang ◽

Y. Xu ◽

Q. Li ◽

C. He ◽

...

Keyword(s):

Influencing Factors ◽

Delay Time ◽

Environmental Data ◽

Impact Factors ◽

The Impact ◽

The Relationship

Identifying the factors that cause taxiing delay on airports is a prerequisite for optimizing aircraft taxiing schemes, and helps improve the efficiency of taxiing system. Few of current studies had quantified the potential influencing factors and further investigated their intrinsic relationship. In view of these problems, this paper uses ADS-B data to calculate taxiing delay time by restoring taxiing route and identifying key status points, and further analyzes the impact factors of airport taxiing delay by investigating the relationship between delay time and environmental data such as weather, wind, visibility etc. The case study in Guangzhou Baiyun Airport validates the effectiveness of the proposed method.

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Weight analysis of influencing factors of dam break risk consequences

Natural Hazards and Earth System Science ◽

10.5194/nhess-18-3355-2018 ◽

2018 ◽

Vol 18 (12) ◽

pp. 3355-3362 ◽

Cited By ~ 18

Author(s):

Zongkun Li ◽

Wei Li ◽

Wei Ge

Keyword(s):

Influencing Factors ◽

Weight Distribution ◽

Index System ◽

Comprehensive Evaluation ◽

Cloud Model ◽

Scientific Basis ◽

Entropy Method ◽

Dam Break ◽

Evaluation Index System ◽

Weight Calculation

Abstract. There are numerous influencing factors of the risk consequences of dam break. The scientific and reasonable index system and its weight distribution are some of the key elements for comprehensive evaluation of the dam break risk. Taking into consideration 20 factors, including hazards, exposure and vulnerability, the evaluation index system of the consequences of dam break risk is constructed. Using the Statistical Cloud Model (SCM) to improve the entropy method, we establish the weight calculation model of the influencing factors of dam break risk consequences. The results shows that the top five factors with the highest weight are risk population, flood intensity, alert time, risk understanding and distance from the dam. Compared to traditional algebraic weight calculation methods, the result is basically consistent with the algebraic weight distribution, and increases the range by 2.03 times, supporting a more scientific basis for recognizing and evaluating dam break risk consequences.

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Analysis of Prioritization of the Influencing Factors on Investment and Muscle Drain in Volleyball Clubs in Developing Countries. Case Study: Premier League Club of Iran Volleyball

Modern Applied Science ◽

10.5539/mas.v10n3p191 ◽

2016 ◽

Vol 10 (3) ◽

pp. 191

Author(s):

Atefeh Saki

Keyword(s):

Developing Countries ◽

Influencing Factors ◽

Community Members ◽

Statistical Population ◽

Technical Staff ◽

Premier League ◽

Sports Club ◽

The Cost ◽

The Impact

Present study pays to prioritize influencing factors on investment and muscular analysis in volleyball club in developing countries. The research method is descriptive and practical. Territory of study is spring and summer 2015 and statistical population is Iran's national volleyball team. The number of community members is 36 that were selected 36 persons as members with using the census. Two questionnaires were used to collect data. The first questionnaire was used for getting comments of coaches and technical staff and the second questionnaire was used for getting players comments. Validity was approved by athletic and academic experts and reliability was approved with Cronbach alpha coefficient. The rate of questionnaires returns was 100% and the number was 36. The results indicate that coaches and technical staff believed that the impact of investment income on the sports club of volleyball is more than the cost effectiveness of it and the players comment is that health is a priority in relation to other criteria.

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