scholarly journals Maintenance Time of Permeable Asphalt Pavement Based on Entropy–Analytic Hierarchy Process Analysis

Coatings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1516
Author(s):  
Baoyang Yu ◽  
Zongguang Sun ◽  
Lin Qi

Dust, sediment, and stone chips often block the rainwater-infiltration paths of permeable pavements, which, in conjunction with vehicle load, reduces drainage capacity. To restore this capacity, a reasonable maintenance time and suitable maintenance measures must be determined. Therefore, we investigated the void attenuation and decline in drainage capacity of permeable asphalt pavements under the combined action of dust blockage and vehicle load. First, the water seepage coefficient decay and the decay rate under blocking and compaction were determined via clogging and compaction experiments. Second, experimental data were incorporated into an entropy–analytic hierarchy process analysis model, with the gross domestic product ratio, wind scale, and maximum five-year rainfall for the area. Finally, three test roads were studied as the weight to rank the maintenance urgency and predict the maintenance timing for each road under different rainfall conditions. The results demonstrate that the drainage capacity of permeable pavements obeys the parabolic exponential attenuation law. From the findings regarding road water storage capacity, the latest pavement maintenance time at different rainfall levels were obtained. This predicted maintenance time enables better decisions than regular time on code, which is the effect of drainage caused by multiple factors.

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2965
Author(s):  
YoungGyu Lee ◽  
JongKwan Kim ◽  
ChangHee Lee

From January 2020, the International Maritime Organization has regulated ship emissions to reduce sulfur content. As an alternative to this, LNG bunkering was proposed, and infrastructure and ships were deployed. Therefore, we used analytic hierarchy process AHP techniques to determine optimal methods of LNG bunkering for shipyard safety. First, we conducted a literature survey on the concept and type of LNG bunkering, global LNG bunkering trends, and features of Japan and South Korea cases and compared them. Thereafter, an expert survey was conducted, and survey data was analyzed using AHP techniques. Finally, we derived optimal methods applicable to shipyard industry. The analytical results revealed that the derived priority of the optimal LNG bunkering method of shipyard was in the order of the STS method, TTS method, and the PTS method. The result of this study can serve as a theoretical basis to make LNG bunkering safer and more economical in shipyards to prepare for the expansion of demand of LNG-fueled ships and LNG. However, this study inevitably has limitations of ranking reversals paradox as it was conducted by experts, assuming no weights to STS, TTS, or PTS.


2014 ◽  
Vol 8 (1) ◽  
pp. 354-357 ◽  
Author(s):  
Hong Xiao ◽  
Xiaoliang Cheng ◽  
Cilan Zou

Urban underground logistics system is a newly emerging concept, and there is no molded sample project to provide reference information. So there exists much uncertainty in its development, and such uncertainty will have some impact on overall development of the system. In this paper, gray analytic hierarchy process analysis will be used to evaluate the risk factors in the development of urban underground logistics system. And then, we use the empirical analysis to quantify the risk of the development of urban underground logistics and provide references for the development of urban underground logistics system.


2021 ◽  
Vol 35 (6) ◽  
pp. 61-67
Author(s):  
Soo-Kyung Shin ◽  
Young-Hoon Bae ◽  
Jun-Ho Choi

Long-term care hospitals for the elderly are places for the elderly and patients with impaired mobility to live in, but these places face a high risk of great damage in the event of a fire. The standards for fire safety at long-term care hospitals for the elderly are limited to inspection of firefighting facilities and training plans, with no index to evaluate the evacuation plans, facilities for evacuation in case of fire, and the fire response manuals of long-term care hospitals for the elderly. Therefore, this study tries to carry out a basic analysis and establish fire safety evaluation indices for long-term care hospitals for the elderly. To that end, the study derives the importance and priorities of the indices related to fire safety in long-term care hospitals for the elderly through an analytic hierarchy process questionnaire surveying 44 firefighting experts. Finally, considering the importance and priorities of the indices, this study presents fire safety evaluation standards (drafts) for long-term care hospitals for the elderly.


2020 ◽  
Vol 12 (14) ◽  
pp. 5615 ◽  
Author(s):  
Hyungjun Seo ◽  
Seunghwan Myeong

Nowadays, the Government as a Platform (GaaP) based on cloud computing and network, has come to be considered a new structure to manage efficiently data-driven administration in the public sector. When the GaaP concept was first introduced, the ICT infrastructures that could underpin GaaP were not sufficiently developed. However, the recent digital transformation has transformed the previous electronic government, which was system- and architecture-oriented. As part of the next generation of government models, GaaP may reinvent the government at a lower cost but with better performance, similar to the case of electronic government two decades ago. This study attempted to determine the priority of factors of GaaP by using the analytic hierarchy process (AHP) methodology. Because of the GaaP characteristics, we drew the main components for building GaaP from previous studies and a group interview with experts. The study results show that experts tend to prefer publicness in terms of building GaaP. Most of the factors that the experts weighed with the highest importance are related to the public sector, which revealed that governments should focus on their primary duty, regardless of the origin and characteristics of the platform in GaaP. However, since GaaP allows governments to be more horizontal and innovative, the platform approach can fundamentally shift the existing processes and culture of the public sector. The enhanced activity of citizens with ICT can also accelerate the introduction of GaaP. Finally, the study showed that a data-driven GaaP is necessary to efficiently handle big data, contract services, and multiple levels of on-line and off-line channels. In this public platform, government, citizens, and private sector organizations can work cooperatively as partners to seamlessly govern the hyper-connected society.


2020 ◽  
Vol 12 (17) ◽  
pp. 6908 ◽  
Author(s):  
Jianjun Xu ◽  
Lijie Yu ◽  
Rakesh Gupta

The performance evaluation of the government venture capital guiding fund (GVCGF) has come into focus in the field of venture capital. Most of the existing studies, such as whether the GVCGF has guided social capital to start-up enterprises and has played its due role in the process of enterprise growth and innovation, are all based on relevant work under the framework of econometric analysis. Unlike in these existing studies, we construct the performance analysis model of the GVCGF from four dimensions, including the standardization development of the guidance fund, the risk control ability, and the leverage and the support effects under the framework of a multi-attribute decision-making analysis. Taking a GVCGF project in Ningbo City, China, as an example, we comprehensively evaluate the development performance of the GVCGF using the intuitionistic fuzzy analytic hierarchy process (IFAHP). The results show that the development performance of the GVCGF is at a “relatively high” level. Compared with the traditional analytic hierarchy process (AHP), the IFAHP effectively avoids the false, enlarged influence caused by data subjectivity and evaluation uncertainty. This study provides a feasible analytical framework for the application of the IFAHP in other project performance evaluations.


2014 ◽  
Vol 687-691 ◽  
pp. 5061-5064
Author(s):  
Bai Chun Shao

In the process of port logistics outsourcing, because there are different throughput requirements of port logistics, there are inherent risks in logistics outsourcing companies, it cannot ensure the reasonableness of port logistics outsourcing. In this paper, a rationality analysis model of port trade logistics outsourcing based on analytic hierarchy process is proposed. Using the Analytic Hierarchy Process get different specification weights, and sort the importance degree of port trade logistics outsourcing risk, to create the hierarchical structure model of port trade logistics hierarchical assessment. The operating performance, cost performance and service performance and so on of port trade enterprises are made overall decomposition and analysis. Through the assignment make comparison operation to obtain the proportion of different schemes which should be accounted for in the overall target. Using analytic network process and customer rationality index model make accurate analysis of the rationality of hierarchical logistics outsourcing in port trade. The experimental results show that the coverage rate of logistics outsourcing, value of port trade and the effectiveness of the model under this kind of model is superior to the traditional model, and it achieves satisfactory results.


2019 ◽  
Vol 26 (3) ◽  
pp. 35-39
Author(s):  
Jelena Jardas Antonić ◽  
Ivana Matković ◽  
Kristina Kaštelan

AbstractIntroduction. High-category hotels are considered to be one of the most important elements of every tourist destination’s supply. Recently, the lack of highly rated hotels in the Republic of Croatia has often been criticized by the public because they are believed to be a prerequisite in the creation of a competitive tourist offer.Material and methods. The authors have performed a multi-criteria decision analysis of eight companies owning five-star hotels in Primorsko-Goranska County using the Analytic Hierarchy Process (AHP) method. Their business performance was evaluated based on both financial and market criteria. The financial criteria encompassed indicators of liquidity, indebtedness, activity and profitability. Data regarding the market indicators were collected using a questionnaire.Results. The importance of market criteria in the tourism industry is visible in tourist demand, which is founded on the perception of potential hotel guests, their recognition of the brand and thus the market potential of the hotels themselves. Therefore, both the financial and market aspect have been included in the Analytic Hierarchy Process analysis and synthesized to estimate the overall priority based on which the hotels were ranked. According to all criteria and sub-criteria, the best ranked hotel company is Eles Turizam j.d.o.o with its five-star hotel Mozart (0.2540), followed by Milenij hotels d.o.o. with its Milenij and Milenij Sveti Jakov. The third place has been assigned to Liburnija Rivijera Hoteli d.o.o. and its Ambasador.Conclusions. All but one of the analyzed five-star hotels are under the ownership of the biggest hotel companies in PGŽ with a long presence in the tourism industry. Therefore, it was expected that, due to their market recognizability and, consequently, their good financial performance, they would rank first. However, the research has shown that market potential does not necessarily imply best practices. Eles Turizam and its hotel Mozart were ranked the highest according to financial and overall priority scores. It may thus be concluded that even a small family hotel company with reduced marketing costs, especially one with an elite tourist offer, can compete with big hotel companies if it continuously assures the quality of its services.


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