scholarly journals A Study on Determinant Factors in Smart City Development: An Analytic Hierarchy Process Analysis

2018 ◽  
Vol 10 (8) ◽  
pp. 2606 ◽  
Author(s):  
Seunghwan Myeong ◽  
Yuseok Jung ◽  
Eunuk Lee
Keyword(s):  
Analytic Hierarchy Process ◽  
Smart City ◽  
Urban Policy ◽  
Industrial Revolution ◽  
Smart Cities ◽  
Process Analysis ◽  
City Development ◽  
Analytic Hierarchy ◽  
Internal Factors ◽  
Hierarchy Process

Today, there are many discussions and guidelines on the issue of smart cities (meaning cities that introduced smart technology) from the perspective of traditional urban policy. Smart city policies focusing on technology have been criticized for eliminating the different levels of factors that surround smart cities. When governments fail to consider different factors in implementing smart policies, they might not effectively provide quality services to citizens, because smart cities involve not only technical elements, but also the complex elements surrounding them (e.g., the policy ecosystem and urban infrastructure). This exploratory study examines the determinants of smart cities and their priorities through an analytic hierarchy process analysis. In this study, the priority internal factors appeared in the order of citizen involvement, leadership, and infrastructure, and the priority external factors took the order of political will, stakeholders, and the fourth Industrial Revolution. In addition, this study shows that the presence of communication channels, public hearings, and direct stakeholders is important for analyzing each sub-factor.

scholarly journals Fuzzy and Interval AHP Approaches in Sustainable Management for the Architectural Heritage in Smart Cities

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 304 ◽  
Author(s):  
Mimica R. Milošević ◽  
Dušan M. Milošević ◽  
Ana D. Stanojević ◽  
Dragan M. Stević ◽  
Dušan J. Simjanović
Keyword(s):  
Analytic Hierarchy Process ◽  
Smart City ◽  
Smart Cities ◽  
Practical Method ◽  
Architectural Heritage ◽  
City Development ◽  
Analytic Hierarchy ◽  
Linear Type ◽  
Triangular Numbers ◽  
Hierarchy Process

For the past four decades, the methodology of fuzzy analytic hierarchy process based on fuzzy trapezoidal or triangular numbers with the linear type of membership functions has witnessed an expanding development with applicability to a wide variety of areas, such as industry, environment, education, government, economics, engineering, health, and smart city leadership. On the other hand, the interval gray analytic hierarchy process is a more practical method when a significant number of professionals have large variations in preferences and interests in complex decisions. The paper examines the management of architectural heritage in smart cities, using methods of multi-criteria decision making. Two appropriate methods generally recommended by the scientific literature have been applied: fuzzy and interval grey analytic hierarchy process. By using both techniques, there is an opportunity to analyze the consensual results from the aspect of two different stakeholder groups: architectural heritage experts and smart city development experts. Trapezoidal fuzzy analytical hierarchical process shows better stability than a triangular one. Both approaches assign priority to the strategy, but the interval approach gives a more significant rank to architectural heritage factors. The similarity of the proposed methods has been tested, and the similarity factor in the ranking indicates a high degree of similarity in comparing the reference rankings.

scholarly journals Analytic Hierarchy Process Analysis for Industrial Application of LNG Bunkering: A Comparison of Japan and South Korea

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2965
Author(s):  
YoungGyu Lee ◽  
JongKwan Kim ◽  
ChangHee Lee
Keyword(s):  
South Korea ◽  
Analytic Hierarchy Process ◽  
Theoretical Basis ◽  
Process Analysis ◽  
Literature Survey ◽  
Ship Emissions ◽  
Analytic Hierarchy ◽  
Optimal Methods ◽  
Hierarchy Process ◽  
Safety First

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.

scholarly journals The Risk Analysis and Evaluation of Urban Underground Logistics System Development Based on the Grey Analytic Hierarchy Process

2014 ◽  
Vol 8 (1) ◽  
pp. 354-357 ◽  
Author(s):  
Hong Xiao ◽  
Xiaoliang Cheng ◽  
Cilan Zou
Keyword(s):  
Analytic Hierarchy Process ◽  
System Development ◽  
Process Analysis ◽  
Analytic Hierarchy ◽  
Logistics System ◽  
Analysis And Evaluation ◽  
Reference Information ◽  
Hierarchy Process ◽  
The Empirical Analysis ◽  
Molded Sample

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.

scholarly journals Development of Fire Safety Evaluation Indices for Long-term Care Hospitals for the Elderly through Analytic Hierarchy Process Analysis

2021 ◽  
Vol 35 (6) ◽  
pp. 61-67
Author(s):  
Soo-Kyung Shin ◽  
Young-Hoon Bae ◽  
Jun-Ho Choi
Keyword(s):  
Analytic Hierarchy Process ◽  
Fire Safety ◽  
Long Term Care ◽  
Process Analysis ◽  
Safety Evaluation ◽  
The Elderly ◽  
Analytic Hierarchy ◽  
Term Care ◽  
Hierarchy Process

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.

scholarly journals The Priority of Factors of Building Government as a Platform with Analytic Hierarchy Process Analysis

2020 ◽  
Vol 12 (14) ◽  
pp. 5615 ◽  
Author(s):  
Hyungjun Seo ◽  
Seunghwan Myeong
Keyword(s):  
Public Sector ◽  
Analytic Hierarchy Process ◽  
Process Analysis ◽  
Electronic Government ◽  
Data Driven ◽  
Analytic Hierarchy ◽  
The Public ◽  
Study Results ◽  
The Government ◽  
Hierarchy Process

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.

scholarly journals Evaluation of Hotel Companies Owning Five-Star Hotels in Primorsko-Goranska County (Croatia) Using the Multi-Criteria Approach

2019 ◽  
Vol 26 (3) ◽  
pp. 35-39
Author(s):  
Jelena Jardas Antonić ◽  
Ivana Matković ◽  
Kristina Kaštelan
Keyword(s):  
Analytic Hierarchy Process ◽  
Business Performance ◽  
Process Analysis ◽  
Tourism Industry ◽  
Market Potential ◽  
Analytic Hierarchy ◽  
The Analytic Hierarchy Process ◽  
The Republic ◽  
Hierarchy Process ◽  
Market Criteria

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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