scholarly journals Analysis of Super-Gentrification Dynamic Factors Using Interpretative Structure Modeling

Land ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 45
Author(s):  
Jiangang Shi ◽  
Kaifeng Duan ◽  
Quanwei Xu ◽  
Jiajia Li

The driving force of super-gentrification shapes a complex system in which multiple dynamic factors interact with each other. This paper takes the dynamic factor system of super-gentrification as the research object and uses the Interpretative Structure Modeling (ISM) to analyze these dynamic factors. The levels of these dynamic factors and the interaction between them are determined. The Cross Impact Matrix Multiplication Applied to a Classification (MICMAC) analysis is also conducted to determine the dependence power and driving power of these dynamic factors. Through analysis, it is concluded that the dynamic factors of super-gentrification are distributed on six levels. Among these dynamic factors, Transformation of Industrial Structure and Occupational Structure in Urban Central Areas, Housing Needs of Overseas Elites, Investment Needs, Development of the Real Estate Market, and Unique Areas and Lifestyle Preferences are the fundamental dynamic factors affecting super-gentrification. The findings of this paper can enrich the existing theoretical research on the driving force of super-gentrification and can provide a reference for policy makers to promote urban landscape sustainability to some extent.

2019 ◽  
Vol 11 (18) ◽  
pp. 4851 ◽  
Author(s):  
Wooseung Lee ◽  
Boyoung Kim

Since the mid-2000s, start-ups have increasingly become the driving force of new jobs and growth engines for advanced countries, and emerging nations are striving to vitalize start-ups through active government support policies. However, approximately 30% of start-ups shut down within two years of their foundation. Accordingly, this study determines the factors affecting the business sustainability of start-ups as based on available government support and provides suggestions to increase the effectiveness of the government-supported projects. This study conducted a survey of 273 start-ups in Korea, and empirically analyzed whether factors such as entrepreneurship, market orientation, and network affected business sustainability by using flow experience and entrepreneurial satisfaction as mediators. The results found that entrepreneurship affected business sustainability with flow experience and entrepreneurial satisfaction as the mediators, while market orientation affected business sustainability using flow experience as the mediator, and network affected business sustainability with entrepreneurial satisfaction as the mediator.


2013 ◽  
Vol 734-737 ◽  
pp. 1200-1203
Author(s):  
Shu Qiang Liu ◽  
Ji Cheng Zhang ◽  
Jin Cheng Xu

During polymer flooding, certain amount of polymer would be lost. Polymer retention causes sweep volume expanding on one side, it also causes polymer loss on the other. Therefore, it is a very important topic to study the influencing factors of polymer retention. There are many factors affecting polymer retention process. This paper mainly studied the influence from dynamic factors such as polymer solution concentration, injection rate, injection time, injected pv number. This paper investigated the influence of these factors on polymer retention process, and optimized these factors to minimize polymer loss in reservoir.


2021 ◽  
Vol 13 (12) ◽  
pp. 2323
Author(s):  
Constantin Nistor ◽  
Marina Vîrghileanu ◽  
Irina Cârlan ◽  
Bogdan-Andrei Mihai ◽  
Liviu Toma ◽  
...  

The paper investigates the urban landscape changes for the last 50 years in Bucharest, the capital city of Romania. Bucharest shows a complex structural transformation driven by the socialist urban policy, followed by an intensive real-estate market development. Our analysis is based on a diachronic set of high-resolution satellite imagery: declassified CORONA KH-4B from 1968, SPOT-1 from 1989, and multisensor stacked layers from Sentinel-1 SAR together with Sentinel-2MSI from 2018. Three different datasets of land cover/use are extracted for the reference years. Each dataset reveals its own urban structure pattern. The first one illustrates a radiography of the city in the second part of the 20th century, where rural patterns meet the modern ones, while the second one reveals the frame of a city in a full process of transformation with multiple constructions sites, based on the socialist model. The third one presents an image of a cosmopolitan city during an expansion process, with a high degree of landscape heterogeneity. All the datasets are included in a built-up change analysis in order to map and assess the spatial transformations of the city pattern over 5 decades. In order to quantify and map the changes, the Built-up Change Index (BCI) is introduced. The results highlight a particular situation linked to the policy development visions for each decade, with major changes of about 50% for different built-up classes. The GIS analysis illustrates two major landscape transformations: from the old semirural structures with houses surrounded by gardens from 1968, to a compact pattern with large districts of blocks of flats in 1989, and a contemporary city defined by an uncontrolled urban sprawl process in 2018.


2018 ◽  
Vol 13 ◽  
pp. 49-55
Author(s):  
Skirmante Mozuriunaite

Smart cities are not a new phenomenon and it is an interdisciplinary definition that became a popular labeling for modern cities. However, there a is surprisingly little academic research in urban design and planning field that discusses this phenomenon. Smart cities definition is similar to intelligent, creative, sustainable or liveable cities which appears to be considered as a part of a play with words. In most of the technological and social science articles smart cities refer to a smart urban management and development via technologies and infrastructure. Based on the scientific literature overview, there are several factors affecting the city smartness, such as technology, people and communities, economy governance, planning and infrastructure. Overall there is a little information and research on urban design principles and tools in the smart city’s creation and contribution to its smartness. The most important thing is to clarify the urban design, planning and landscape design role importance to a smart city context and vice versa. The aim of this paper is to overview the smart cities concept from urban design perspective to find and highlight the important touch points, relation and role of urban design, planning and landscape design in smart cities creation. This would lead to the robust principles for smart European cities that would enable to achieve sustainable development, efficient urban growth and a better urban landscape.


2021 ◽  
Vol 7 (5) ◽  
pp. 4463-4473
Author(s):  
Qiao Wang

Objectives: The relationship between finance and economic growth has always been one of the hot issues in theoretical research and empirical analysis. As one of the important factors affecting economic growth, finance has long been recognized by the majority of scholars. Methods: In the context of the development of Internet e-commerce, empirical research on the relationship between China’s financial development and economic growth is conducted based on the maximum traffic algorithm. Results: Based on this, this paper constructs the Probit and Logistic binary discrete selection model for economic growth, and the discrete particle swarm algorithm is used to solve the sequence of influencing factors, estimating the model parameters, and the degree of influence of each influencing factor is calculated. Conclusion: The degree of concurrent employment is a decisive factor in economic growth.


Author(s):  
Ping-Hsun Lin ◽  
Hsiang Hsi Lin ◽  
Fred B. Oswald ◽  
Dennis P. Townsend

Abstract This paper presents procedures for designing compact spur gear sets with the objective of minimizing the gear size. The allowable tooth stress and dynamic response are incorporated in the process to obtain a feasible design region. Various dynamic rating factors were investigated and evaluated. The constraints of contact stress limits and involute interference combined with the tooth bending strength provide the main criteria for this investigation. A three-dimensional design space involving the gear size, diametral pitch, and operating speed was developed to illustrate the optimal design of spur gear pairs. The study performed here indicates that as gears operate over a range of speeds, variations in the dynamic response change the required gear size in a trend that parallels the dynamic factor. The dynamic factors are strongly affected by the system natural frequencies. The peak values of the dynamic factor within the operating speed range significantly influence the optimal gear designs. The refined dynamic factor introduced in this study yields more compact designs than AGMA dynamic factors.


Author(s):  
Saule Kaliyeva ◽  
Elvira Buitek ◽  
Marziya Мeldakhanova

The transformation of the importance of vocational education and training, the determining the development trajectories occur due to the structural changes that are under the influence of technological factor changes. Especially, digitalization, automation, robotics, the artificial intelligence, the transition to industry 4.0, the changing nature of consumer demand directly affect the restructuring of the labor market. The listed factors accelerate the development of new professions in demanded areas and the disappearance of outdated ones, they stimulate the improvement of needed skills and meet the modern requirements from employers for educationalщl programs. The purpose of research paper is to identify the new trends in the training of competitive young employees, taking into account the conditions of digitalization of economy The research methodology includes general scientific and theoretical research methods. Methods of tabular representation of data is used as statistical tool. Originality of the research is that It is relevant and necessary to develop new model of training young specialists, involving the implementation of educational, research, innovative and entrepreneurial, spiritual and moral activities that meet modern trends. Authors carried out the analysis of the level and quality of training of national personnel in terms of ensuring the future needs of the labor market of the Republic of Kazakhstan in the conditions of digitalization of economy. It includes the factors affecting the reproduction of competitive national personnel and their provision with high-quality jobs, identifying new trends in the training and retraining of professional personnel and improving their skills, examining the features of training competitive national personnel in the system of ensuring the balance of labor resources and jobs.  The paper was prepared within the grant project of the Ministry of Education and Science of the Republic of Kazakhstan AP09260584 «Employment restructuration in Kazakhstan in terms of social and economic tensions».


2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Siqi Li ◽  
Shenglei Tian ◽  
Wei Li ◽  
Tie Yan ◽  
Fuqing Bi

In order to study the resonance characteristics of rock under harmonic excitation, two vibration models have been presented to estimate the natural frequency of rock encountered during the drilling. The first one is a developed single-DOF model which considers the properties and dimensions of the rock. The second one is a multi-DOF model based on the principle of least action. Subsequently, the modal characteristics, as well as the influence of excitation frequency, the mechanical properties, and dimensions of the rock on its resonance frequency, are analyzed by using FEM. Finally, the ultrasonic test on artificial sandstones and materials of drill tools are carried out indoor, and the FFT transform method is adopted to obtain their resonance frequencies. Based on the analysis undertaken, it can be concluded that the natural frequency of the rock increases with the change of vibration mode. For the same kind of rock, the resonance frequency is inversely proportional to mass, while for the different kinds of rocks, the mechanical parameters, such as density, elastic modulus, and Poisson’s ratio, determine the resonance frequency of the rock together. Besides, the shape of the rock is also one of the main factors affecting its resonance frequency. At last, the theoretical research results are further verified by ultrasonic tests.


Author(s):  
Gerry C. Slagis

Seismic stress limits for nuclear piping were published by the Section III code in 1994. Because of concerns on the technical bases for the rules, NRC has not approved their use. Modifications to the rules have been made in 2001. The 1994 seismic stress limits are reduced, and one type of joint now has a seismic stress limit that is less that the static load limit. A limit for seismic that is less than the limit for a static load contradicts the test data. Most of the technical concerns were valid. The 1994 rules are based on the premise that collapse is not a potential failure mode for a seismic event. However, collapse occurred in two of the EPRI component tests. Seismic margins in the component tests were overestimated. Revisions to the seismic margin data do not support the higher stress limits. A different approach has been taken to justify the 2001 rules. A probability approach is used where seismic capacity is related to a strength factor. The strength factor is based on the measured ultimate moment in the component tests. The capacity is the strength factor multiplied by a nonlinear dynamic factor. A small nonlinear dynamic factor is used because of concerns with off-resonance margin in stiff components. In contrast, the tests demonstrate large nonlinear dynamic factors. The intent of the new rules is to limit piping response to the SSE to the linear elastic range.


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