An Analysis of the Influencing Factors in New Urban Planning under the Conception of Smart Growth

2012 ◽  
Vol 174-177 ◽  
pp. 2433-2439
Author(s):  
Li Li Liu
Keyword(s):  
Urban Planning ◽  
Influencing Factors ◽  
Adjacency Matrix ◽  
Data Model ◽  
Smart Growth ◽  
Influence Factors ◽  
Theoretical Development ◽  
Structure Model ◽  
Key Factors ◽  
The Relationship

This paper is a study about the relationship among the factors that influence the new urban planning under the theory of “Smart Growth”. The author applied the “Smart Growth” in China domestic society and summarized key factors into five categories. Interpretation of Structure Model (“ISM”) is used to design a tailor made data model. The model established Adjacency Matrix and Reachable Matrix to define the key influence factors into seven classes, depicted the correlation structure and then revealed the inherent logic relation between the key factors. The ISM model diagram provided visualized view of the cause-effect relationship among the influence factors. It is used as a tool to identify the reasons and forecast impacts based on the diagram. This tool is helpful to the real business of new urban planning and contributes meaningful scientific research for “Smart Growth” theoretical development.

scholarly journals Study on influence factors for the sustainability of individual safety behavior capability of employees in enterprises based on dematel-ism method

2021 ◽  
Vol 303 ◽  
pp. 01056
Author(s):  
Lu-jie Zhou ◽  
Kai Yu ◽  
Qu Nan-nan
Keyword(s):  
Decision Making ◽  
Influencing Factors ◽  
Structural Model ◽  
Influence Factors ◽  
Structure Model ◽  
Safety Behavior ◽  
Multi Level ◽  
The Impact ◽  
Interpretive Structural Model ◽  
The Relationship

In order to get an accurate understanding of the sustainability of employees’ safety behavior capability, based on the safety behavior influencing factors, 15 influencing factors were identified from the five aspects of safety environment, individual's basic qualities, individual safety quality, individual's behavioral abilities and individual's awareness. Using the decision making trial and evaluation laboratory (DEMATEL) and interpretive structural model (ISM), while studying the relationship between the influencing factors, the paper also analyzes the impact of each index on the sustainability of the individual's safety behavior, finding out the key influencing factors and analyzing the comprehensive influence relations among the factors and constructing a multi-level hierarchical structure model, and finally finding a new way and method to improve the sustainability of the employees’ individual safety behaviors.

The Analysis of the Load Rate Influence Factors Based on the Grey Correlation

2014 ◽  
Vol 631-632 ◽  
pp. 94-98
Author(s):  
Xue jun Wang ◽  
Ji Xiang Zhang ◽  
Zhen Gao Zhang ◽  
Ming Zhi Liu
Keyword(s):  
Influence Factor ◽  
Rapid Development ◽  
Influence Factors ◽  
Key Factors ◽  
Grey Correlation ◽  
Power Characteristics ◽  
Load Rate ◽  
Grey Correlation Analysis ◽  
Influence Degree ◽  
The Relationship

With the rapid development of power industry, the load rate which describes the power characteristics is playing a more and more important role, this paper uses the grey correlation analysis to find the relationship between the load rate and the influence factors based on the historical data of the load rate influence factors and analyzes the weight of each influence factor quantitatively through the grey correlation coefficient so as to reflect the influence degree of different factors on load rate, meanwhile, through the analysis of various influencing factors of load rate, this paper hopes to clarify its effects on the load rate which includes strength, size and the order and help the power grid enterprise choose the key factors influencing the load rate which provide a basis for the future to improve the load rate.

High-Pressure Water Spray Research Based on Neural Network

2010 ◽  
Vol 29-32 ◽  
pp. 138-142
Author(s):  
Rui Li ◽  
Zi Ming Kou
Keyword(s):  
Neural Network ◽  
High Pressure ◽  
Influencing Factors ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Industrial Processes ◽  
Water Spray ◽  
Key Factors ◽  
Pressure Water ◽  
The Relationship

The spray cleaning method is important and universal in many industrial processes and other occasion. Because the size of the waterdrop is one of key factors for cleaning, this paper not only studied the relationship between the size of waterdrop and other influencing factors, but also researched the forecasted method for the size of waterdrop. In lab, by measuring the size of the waterdrop, jetted by one kind of nozzle, data were acquired and were used to train the Back Propagation Neural Network ( BPNN ). Through comparing those diameters, between measured in lab and calculated by BPNN after trained. It was acquired that the maximum errors was smaller than 1.62%, between the computed results and the factual measured ones. The experimental results showed that BPNN is an effective tool to predict the variation of the non-linear waterdrop diameter.

scholarly journals Urban Sustainability and Smartness Understanding (USSU)—Identifying Influencing Factors: A Systematic Review

2020 ◽  
Vol 12 (11) ◽  
pp. 4682
Author(s):  
Hasan Fehmi Topal ◽  
Dexter V.L. Hunt ◽  
Christopher D.F. Rogers
Keyword(s):  
Influencing Factors ◽  
Critical Evaluation ◽  
Urban Sustainability ◽  
Holistic Approach ◽  
Human Beings ◽  
Key Factors ◽  
Urban Context ◽  
Social Environmental ◽  
And Behavior ◽  
The Relationship

Urban Sustainability and Smartness Understanding (USSU) can be defined by a group of sociopsychological determinants (such as awareness, perception, attitude and behavior) which shapes the relationship between human beings and the environment in which they live. A variety of influencing factors must exist in relation to USSU, however, a comprehensive examination of these, looking at personal, social, environmental, economic, technical, and governance perspectives in an urban context, appear to be less well researched. As such this paper provides an exploratory and critical evaluation of the literature by focusing on the USSU determinants; with an aim toward identifying the key factors (and sub-factors) that are in relation with these determinants. Two big databases of Scopus and Web of Science—have been searched systematically for the relevant studies. Therein it is observed how these factors affect USSU according to the characteristics of the study. Sustainability focused studies were found to be more commonplace than smartness studies. Moreover, there is currently ambiguity in evaluating the impacts of the identified factors. This paper concludes that a holistic approach is needed for clarifying the relationship and causality between sociopsychological determinants on Urban Sustainability and Smartness context. A framework with six dimensions is presented to initiate future studies to develop a consistent; coherent and comprehensive methodology to assess an individuals’ USSU.

A Study of Engineering Construction Safety Influencing Factors Based on SEM Model

2012 ◽  
Vol 569 ◽  
pp. 328-331
Author(s):  
Jian Lan Zhou ◽  
Zhi Yu Sun
Keyword(s):  
Influencing Factors ◽  
Influence Factors ◽  
Construction Safety ◽  
Extensive Reading ◽  
Engineering Project ◽  
Engineering Construction ◽  
Construction Period ◽  
Safety Risks ◽  
Project Construction ◽  
The Relationship

During the long engineering project construction period, involving a combination of human, financial and material, and that different works, every link and each phase is mostly high altitude, open, crossover operation, which hide safety risks and result in high probability of safety accidents, so these characteristics determine the importance of safe and civilized production. Therefore, the influence factors of engineering construction safety are worth studying. In this paper, through extensive reading literature and information, making contrast and analyzing, researching and other methods, finishing the preliminary indicators of construction safety influencing factors, after conducting questionnaire survey, ultimately identified 19 indicators of factors and based on these indicators draw SEM model by AMOS software. The results by AMOS show that the model can effectively describe the relationship between the influence factors of which affecting construction safety, and provide strong evidence for improving the engineering and construction management.

Based on Analytic Hierarchy Process in the Study of Cave Construction

2012 ◽  
Vol 193-194 ◽  
pp. 780-784
Author(s):  
Yin Zhang ◽  
Hui Yang
Keyword(s):  
Analytic Hierarchy Process ◽  
Hierarchical Structure ◽  
Influence Factors ◽  
Professional Experience ◽  
Structure Model ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
The Hierarchical Structure ◽  
Hierarchy Process

This article mainly study on AHP application in cave dwelling construction system, based on the combination with professional experience and the investigation of the folk, put forward the influence factors of building in caves, By establishing the hierarchical structure model ladder to explain the interaction of the various factors relationship，And then calculate and recognize the key factors in influencing of the cave-building, in the hope of improving the construction quality of a cave reference function.

THE MODEL FOR MANAGING INVESTMENTS IN THE MOSCOW ENVIRONMENT BASED ON A POWER REGRESSION EQUATION

2020 ◽  
Vol 2 (7) ◽  
pp. 91-99
Author(s):  
E. V. KOSTYRIN ◽  
◽  
M. S. SINODSKAYA ◽  
Keyword(s):  
Solid Waste ◽  
Influencing Factors ◽  
Pair Correlation ◽  
Approximation Error ◽  
Regression Equation ◽  
Regression Equations ◽  
The Impact ◽  
The Relationship ◽  
Average Approximation ◽  
Average Approximation Error

The article analyzes the impact of certain factors on the volume of investments in the environment. Regression equations describing the relationship between the volume of investment in the environment and each of the influencing factors are constructed, the coefficients of the Pearson pair correlation between the dependent variable and the influencing factors, as well as pairwise between the influencing factors, are calculated. The average approximation error for each regression equation is determined. A correlation matrix is constructed and a conclusion is made. The developed econometric model is implemented in the program of separate collection of municipal solid waste (MSW) in Moscow. The efficiency of the model of investment management in the environment is evaluated on the example of the growth of planned investments in the activities of companies specializing in the export and processing of solid waste.

Examining Organizational, Cultural, and Individual-Level Factors Related to Workplace Safety and Health Awareness and Risks: A Systematic Review and Metric Analysis (Preprint)

2018 ◽  
Author(s):  
Edmund W. J. Lee ◽  
Han Zheng ◽  
Htet Htet Aung ◽  
Megha Rani Aroor ◽  
Chen Li ◽  
...  
Keyword(s):  
Systematic Review ◽  
Citation Count ◽  
Workplace Safety ◽  
Key Factors ◽  
Health Awareness ◽  
Individual Level ◽  
Metric Analysis ◽  
Safety And Health ◽  
The Impact ◽  
The Relationship

BACKGROUND Promoting safety and health awareness and mitigating risks are of paramount importance to companies in high-risk industries. Yet, there are very few studies that have synthesized findings from existing online workplace safety and health literature to identify what are the key factors that are related to (a) safety awareness, (b) safety risks, (c) health awareness, and (d) health risks. OBJECTIVE As one of the first systematic reviews in the area of workplace health and safety, this study aims to identify the factors related to safety and health awareness as well as risks, and systematically map these factors within three levels: organizational, cultural, and individual level. Also, this review aims to assess the impact of these workplace safety and health publications in both academic (e.g., academic databases, Mendeley, and PlumX) and non-academic settings (e.g., social media platform). METHODS The systematic review was conducted in line with procedures recommended by Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). First, Proquest, ScienceDirect and Scopus were identified as suitable databases for the systematic review. Second, after inputting search queries related to safety and health awareness and risks, the articles were evaluated based on a set of inclusion and exclusion criteria. Third, the factors identified in the included articles were coded systematically. Fourth, the research team assessed the impact of the articles through a combination of traditional and new metric analysis methods: citation count, Altmetric Attention Score, Mendeley readers count, usage count, and capture count. RESULTS Out of a total of 4,831 articles retrieved from the three databases, 51 articles were included in the final sample and were systematically coded. The results revealed six categories of organizational (management commitment, management support, organizational safety communication, safety management systems, physical work environment, and organizational environment), two cultural (interpersonal support and organizational culture), and four individual (perception, motivation, attitude and behavior) level factors that relate to safety and health awareness and risk. In terms of impact, the relationship between citation count and the various metrics measuring academic activity (e.g., Mendeley readers, usage count, and capture count) were mostly significant while the relationship between citation count and Altmetric Attention Score was non-significant. CONCLUSIONS This study provides a macro view of the current state of workplace safety and health research and gives scholars an indication on some of the key factors of safety and health awareness and risks. Researchers should also be cognizant that while their work may receive attention from the scholarly community, it is important to tailor their communication messages for the respective industries they are studying to maximize the receptivity and impact of their findings. CLINICALTRIAL N.A.

scholarly journals Comparison of the sensitivity of Western blotting between PVDF and NC membranes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yufang Xiang ◽  
Yuanyuan Zheng ◽  
Shaobo Liu ◽  
Gang Liu ◽  
Zhi Li ◽  
...  
Keyword(s):  
Western Blotting ◽  
Polyvinylidene Fluoride ◽  
Staining Intensity ◽  
Detection Sensitivity ◽  
Key Factors ◽  
Post Translational Modifications ◽  
Factors Affecting ◽  
Molecular Weights ◽  
Direct Blue ◽  
The Relationship

AbstractWestern blotting (WB) is one of the most widely used techniques to identify proteins as well as post translational modifications of proteins. The selection of electroblotted membrane is one of the key factors affecting the detection sensitivity of the protein which is transferred from gel to membrane in WB. The most common used membranes are polyvinylidene fluoride (PVDF) and nitrocellulose (NC) membranes. Which membrane of these two is more suitable for WB has not been reported so far. Here, by incubating proteins which were transferred to PVDF or NC membranes with a series of antibodies and different types of lectins, we investigated the relationship between the binding ability of these two membranes to proteins or glycoproteins and the molecular weight of the target protein. The antibody re-probed ability of the two membranes was also explored. Moreover, we verified the above results by directly incubating proteins having different molecular weights onto PVDF or NC membranes. Bound proteins were stained with direct blue-71, and the staining intensity was quantitated by scanning and densitometry.

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