scholarly journals Comparative Study of the Hazardous Chemical Transportation Accident Analyses Using the CREAM Model and the 24Model

2021 ◽  
Vol 13 (22) ◽  
pp. 12923
Author(s):  
Wei Jiang ◽  
Yun Li ◽  
Jiankai Zhou ◽  
Zhishun Huang ◽  
Zonghao Wu

Compared with other types of transportation, hazardous chemical transportation is more dangerous and more likely to cause accidents, such as combustion and explosion. To better study the advantages of different accident analysis models and realize the sustainable development of the accident analysis, this paper compares the 24Model and the cognitive reliability and error analysis method in their analyses of causes of hazardous chemical transportation accidents. Regarding their analyses of the causes of hazardous chemical transportation accidents, the causal factors of hazardous chemical transportation accidents are obtained. Then the analysis results of the two models are compared on three aspects: the object of accident influence, the module of accident analysis, and the number of accident causes. Gray correlation analysis and regression analysis are used to quantitatively compare and verify the focus of the two models on the cause of the accident. The results show that the 24Model emphasizes the safety culture of the enterprise, the cognitive reliability and error analysis method emphasizes the technology of the enterprise, and the two accident analysis models provide different emphases on preventing accidents to better achieve the goal of sustainable development.

2019 ◽  
Vol 17 (Suppl.1) ◽  
pp. 125-132
Author(s):  
D. Alexova

The survey includes a study of destination planning and development at a local level through micro-regionalization. The subject of this work is the study, analysis and definition of opportunities for sustainable tourism development at a local level as a model that can be multiplied to be used in other developing tourist destinations. The objective of the study is the sustainable development of tourism in the municipality of Botevgrad and its positioning as an attractive tourist destination. To achieve the research goal, a set of general and private methods corresponding to the interdisciplinary and heterogeneous nature of the study are used: methods of analysis and synthesis, cameral method, cartographic method, geographic methods of research: spatial analysis of the resource potential, localization of the surveyed sites. An approach of studies and systematization of information on literary sources and planning documents has also been used; collecting, processing, systematizing and interpreting statistical data and documents; critical analysis method and expert assessment; comparative analysis method; scientific analysis and synthesis; field observation. The main conclusions point the opportunities for destination management at a local level through micro-regionalisation as a successful model for sustainable tourism.


2011 ◽  
Vol 361-363 ◽  
pp. 1153-1156 ◽  
Author(s):  
Li Luan You ◽  
Mo Yu Wang ◽  
Wen Yan Guo ◽  
Xiao Liu Shen

This paper will research the relationship between the Beijing industrial structure and the sustainable development through the 3EDSS which provides an all-round, multi-level international index data inquiry, statistics, analysis and computation function and grey correlation analysis theory, analysis the degree of association between each industry and GDP, energy consumption elasticity coefficient, sulfur dioxide emissions of Beijing, thus putting forward some suggestions for Beijing to the sustainable development and industrial structure optimization.


2013 ◽  
Vol 448-453 ◽  
pp. 4059-4064
Author(s):  
Qing Min Yuan ◽  
Ning Ning Ning

The paper selected certain indicators of regional sustainable development and port logistics, on the basis of systematic analysis of the sustainable development ability, which taked Tianjin as an example by means of the grey correlation analysis method, we study the regional sustainable development ability and the correlation of port logistics in order to provide a certain theoretical basis and reference for the development and the ability of port logistics.


2012 ◽  
Vol 518-523 ◽  
pp. 4885-4891
Author(s):  
Xian Ze Peng ◽  
Han Li ◽  
Yu Jun Zeng ◽  
Xiao Yuan Guo

Agro-ecological system in Hubei province was comprehensively analyzed and evaluated by using emergy analysis method. The result shows that the local resources have been utilized effectively in Hubei, the agricultural modernization is high, however, Hubei’s agricultural ecosystems is unsustainable consumption-based system owing to the higher degree of environmental stress and resource dependence. Suggestions to reinforce the sustainable development of agriculture in Hubei were put forward.


Author(s):  
Tatyana Viktorovna Alferova ◽  

Sustainable development evaluation is a separate area of research and a tool to prepare and to make management decisions in regional development. There are a lot of academic publications devoted to the selection of the indicators applied to measure the regions’ sustainable development. There is an ongoing discussion about the development of a system of indicators reflecting social, economic, and ecological areas of sustainable development applicable to regional evaluation and inter-regional comparison. The approaches are different in their choice of the indicators for the region’s sustainable development evaluation, this makes it more difficult to compare and to apply, which urges the need to systematize the applied approaches. In the view of the above, the purpose of the study was to look at the selection principles for the regional development measurement, to find the regularities and differences in working out the evaluation system for the sustainable development of the region’s economy. The novelty of the research is as follows: а) a comparative analysis method is applied to reason the selection principles for the indicators used to measure the regions’ sustainable development; b) a unique conceptual model for selecting the evaluation criteria of regions’ sustainable development is developed. Theoretical importance of the paper lies in systematization of the approaches to the sustainable development evaluation at the regional level. Research’s practical value is represented by visualization of the grouping principles for the evaluation indicators. The key methods of the research are a system-based method, logic and comparative analysis. A comparative analysis method was applied to find the regularities and common approaches to measurement indicator selection by the algorithm “author – region (a group of regions) – research purpose – a set of indicators”. The data was summarized in a colored matrix as a lot of characteristics should be considered, such as the name of an indicator, unit of measurement, origin of the indicators (one or several areas of sustainable development), purpose of an indicator or a solved research task, as well as the features of the regions which these systems of indicators were prepared for. The research also considers whether the authors adhered to the requirements, such as comparability, proportionality, correspondence with the sustainable development goals, ability to reflect the development dynamics, etc. As a result, the research revealed a significant chaos in the names of the indicators, units of measurement, approaches to data processing, etc. This impedes the evaluation of regions’ sustainable development and inter-regional comparisons. However, the research found that a number of indicators applied by many authors are repeated, which makes us claim that this research is likely to have its practical application, while the wording of the key principles contributes into the development of a list of universal key (basic) indicators applicable to evaluate the sustainable development in all regions, with no exception. With this in mind, the paper offers to develop the principles required for the measurement systems and some indicators under the conceptual basis presented as an author’s model. The model has several contours and conceptual levels since it unites a list of criteria to be met by the indicators and the algorithm which should be observed in developing these criteria or requirements. Along with this, the requirements to the indicators are developed at the target, vector, indicator, and object levels, while the requirements to the system on the whole are shaped at the system level. Level-based division is conventional since the criteria are closely interrelated. In this case, a level is seen to be a dimension for the criteria and a particular step in the algorithm rather than a hierarchy. The results of the research are as follows: a compiled list of indicators which are met in many publications at the same time with no regard to their origin and research task, which proves that the system of universal indicators for evaluation of the RF regions’ sustainable development could be developed; a ready-to-use conceptual model which systematizes the requirements to the evaluation indicators for the region’s sustainable development at target, indicator, object, and system levels of analysis. The developed model was used as the basis to define a list of key requirements to the indicators applied to measure the regions’ sustainable development. Observation of these requirements in selecting the indicators will further contribute into the development of a system of basic universal indicators applicable for evaluation, comparison and decision making to achieve the sustainable development of the regional economic systems.


2013 ◽  
Vol 838-841 ◽  
pp. 2103-2106
Author(s):  
Shi Mei Wu ◽  
Yu Long Pei ◽  
Guo Zhu Cheng

Dense urban group is the inevitable product of relative developed stage of economic and social development. In order to ensure the sustainable development of dense urban group and provide a basis for formulating the transportation infrastructure of scientific development planning, this paper analyzed the traffic demand characteristics in dense urban group. The paper makes use of the statistic analysis method to analyze traffic demand characteristics, especially travel intensity, travel modaltrip time consume and trip distance. It can be concluded that trip number per person and traffic connection of dense urban group are far higher than other regions and the highway is main travel modal. However its average trip distance is low in the nationwide scope.


Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3092 ◽  
Author(s):  
Pruethsan Sutthichaimethee ◽  
Sthianrapab Naluang

This research aims to predict the efficiency of the Sustainable Development Policy for Energy Consumption under Environmental Law in Thailand for the next 17 years (2020–2036) and analyze the relationships among causal factors by applying a structural equation modeling/vector autoregressive model with exogenous variables (SEM-VARIMAX Model). This model is effective for analyzing relationships among causal factors and optimizing future forecasting. It can be applied to contexts in different sectors, which distinguishes it from other previous models. Furthermore, this model ensures the absence of heteroskedasticity, multicollinearity, and autocorrelation. In fact, it meets all the standards of goodness of fit. Therefore, it is suitable for use as a tool for decision-making and planning long-term national strategies. With the implementation of the Sustainable Development Policy for Energy Consumption under Environmental Law ( S . D . E L ) , the forecast results derived from the SEM-VARIMAX Model indicate a continuously high change in energy consumption from 2020 to 2036the change exceeds the rate determined by the government. In addition, energy consumption is predicted to have an increased growth rate of up to 185.66% (2036/2020), which is about 397.08 ktoe (2036). The change is primarily influenced by a causal relationship that contains latent variables, namely, the economic factor ( E C O N ) , social factor ( S O C I ) , and environmental factor ( E N V I ) . The performance of the SEM-VARIMAX Model was tested, and the model produced a mean absolute percentage error (MAPE) of 1.06% and a root-mean-square error (RMSE) of 1.19%. A comparison of these results with those of other models, including the multiple linear regression model (MLR), back-propagation neural network (BP model), grey model, artificial neural natural model (ANN model), and the autoregressive integrated moving average model (ARIMA model), indicates that the SEM-VARIMAX model fits and is appropriate for long-term national policy formulation in various contexts in Thailand. This study’s results further indicate the low efficiency of Sustainable Development Policy for Energy Consumption under Environmental Law in Thailand. The predicted result for energy consumption in 2036 is greater than the government-established goal for consumption of no greater than 251.05 ktoe.


Author(s):  
Marija Petrović-Ranđelović ◽  
Tatjana Stevanović ◽  
Vesna Janković-Milić

The purpose of this paper is to research the relationship between environmental and social performances and company’s economic value on case of the Titan Cement Kosjerić, and contributes to a clearer understanding of the importance on integrating the sustainable development principles into the business strategy and processes. The research was conducted using the data on selected financial and nonfinancial performances of the company from the Reports on corporate social responsibility and sustainable development for the period from 2011 to 2015. To confirm the initial hypothesis it was used the method of analysis, method of synthesis, and the correlation analysis method. The empirical findings of this research indicate that there is a high degree of interdependence between environmental and social performance and company’s economic value, which is in line with the company's commitment to sustainable development and socially responsible business. The main contribution of this paper attempts in highlighting the importance on carry out the socially responsible practices in the cement industry companies for improving all aspects of sustainable business - financial, environmental, and social.


2019 ◽  
Vol 11 (4) ◽  
pp. 950 ◽  
Author(s):  
Bevo Wahono ◽  
Chun-Yen Chang

This study focuses on assessing the growth of the latest developments of science, technology, engineering, and mathematics (STEM) as part of an effort to maintain the progress of STEM education. Assessment is necessary for every educational activity, including in the field of STEM education. However, there are limited comprehensive reports on the progress and development of STEM education inside individual Asian countries. An attempt to bring up the sustainable development of STEM education is conducted by using an exhaustive assessment. The assessment, within this study, includes three domains, namely attitudes, knowledge, and applications (AKA) regarding STEM education. The comparison of these three domains based on demographic data, teachers’ difficulties perception, and its contribution to the sustainable development of STEM education is, likewise, discussed. This type of research is a mix of both qualitative and quantitative research methodology. The quantitative analysis method was performed to address the level position and the comparative value of the three domains. In comparison, the qualitative analysis method was employed to strengthen the quantitative result analysis, as well as to deal with the teachers’ perception. Results show that science teachers have a very good attitude, a moderate-level category in the application, and a low-level category in knowledge regarding STEM education. Further, there are differences in knowledge and the application of STEM education, based on educational background and teaching experience of the teachers, yet there are no differences regarding teachers’ attitudes. Other components are discussed in detail, such as the teacher’s perception of STEM teaching difficulties. Providing challenges and opportunities for improving the quality of education in the future are discoursed. The results of this study suggest that knowledge and attitudes are fundamental domains for the proper implementation, as well as sustainability, of STEM education (especially in Indonesia).


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