scholarly journals Evaluation of the Criteria for Designating Maintenance Districts in Low-Rise Residential Areas: Urban Renewal Projects in Seoul

2019 ◽  
Vol 11 (21) ◽  
pp. 5876
Author(s):  
Woongkyoo Bae ◽  
UnHyo Kim ◽  
Jeongwoo Lee
Keyword(s):  
Urban Renewal ◽  
Large Scale ◽  
Process Analysis ◽  
Urban Housing ◽  
Residential Areas ◽  
Analytic Hierarchy ◽  
South Korean ◽  
Flexible Management ◽  
Hierarchy Process ◽  
Housing Renewal

Since the 1970s, the South Korean government has been redeveloping blighted residential environments and adopting large-scale redevelopment policies to solve urban housing-related problems. However, it is difficult to designate areas for redevelopment and identify areas where redevelopment is currently unfeasible. This study establishes a framework to support decision-making in a selection of housing renewal districts. The proposed Residential Environment Maintenance Index (REMI) overcomes the limitations of existing indicators, which are often biased toward physical requirements. Using this, we rationalize the designation of maintenance areas by considering both physical and social requirements and outline the renewal district designation procedure. To derive REMI, we used an analytic hierarchy process analysis and estimated the index’s reliability by clarifying the relative importance and priority of the indicators based on surveys of 300 subject matter experts. We analyzed various simulations by applying REMI at sites where maintenance is currently planned or discharged in Seoul. These reveal that the total number of urban renewal projects can be adjusted by adjusting the number of renewal district designations through the proposed REMI according to the economic situation. The results have implications for understanding REMI’s possible application and flexible management at the administrative level to pursue long-term sustainable development.

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 Research on Quality Risk Assessment and Application of Large-scale Clusters of Engineering Project

2021 ◽  
Vol 233 ◽  
pp. 03058
Author(s):  
Shan Chen ◽  
Xiaoguang Liang ◽  
Mingmao Li ◽  
Chuanlong Zou
Keyword(s):  
Decision Making ◽  
Quality Management ◽  
Large Scale ◽  
Construction Technology ◽  
Characteristic Analysis ◽  
Engineering Project ◽  
Analytic Hierarchy ◽  
Quality Risk ◽  
Hierarchy Process ◽  
Project Decision

In order to study the quality risk of large-scale clusters of engineering project and makes the characteristic analysis of large-scale clusters of engineering project and evaluates quality risk, the author uses analytic hierarchy process to quantify quality risk factor, and the following conclusions are obtained: (a) Construction management unit that makes the project decision-making mainly controls the QRM, comparatively speaking, it has little control over quality risk when the project is completed and ready to get acceptance (b) In the project decision-making stage, the Construction Technology has the greatest influence on the project quality management. This paper puts forward the suggestion that the influence of quality risk factors should be quantified by associated experts, so as to provide a reference for the construction quality management of large-scale cluster projects.

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.

Prioritizing Sectors for Economic Development in Sikkim, India

2014 ◽  
Vol 5 (2) ◽  
pp. 59-73 ◽  
Author(s):  
Manjushree Mishra ◽  
Ajeya Jha
Keyword(s):  
Economic Development ◽  
Large Scale ◽  
Social Acceptance ◽  
Pairwise Comparison ◽  
Economic Sectors ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Cottage Industries ◽  
Installation Cost ◽  
Limited Scope

Sikkim, a mountainous state in the Himalayas joined the democratic mainstream of the Indian Union in 1975. It has made enormous progress in planned economic development since then. Mountainous terrain and lack of reliable transportation and infrastructure does not allow establishments of large scale industries. Agriculture, dairy farming and cottage industries have limited scope of expansion. Hydro-electricity generation, pharmaceutical, tourism and tea appear to be promising and fastest growing economic sectors. Thus, these four growth sectors have been considered for evaluation. Six major criteria (such as Installation Cost, Return on Investment, Sustainability, Social Acceptance, Environment Friendliness, and Future Demand) were appropriately selected have been considered for evaluation of these alternatives for prioritising these economic sectors. The alternatives were subjected to pairwise comparison using the Analytic Hierarchy Process (AHP) so as to arrive at objective conclusions. The analysis of selected economic sectors and findings has been discussed in this article.

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 Development of the Model of Decision Support for Alternative Choice in the Transportation Transit System

2015 ◽  
Vol 16 (1) ◽  
pp. 61-72 ◽  
Author(s):  
Igor Kabashkin ◽  
Jelena Lučina
Keyword(s):  
Decision Support ◽  
Large Scale ◽  
Finite Graph ◽  
Business Environment ◽  
Analytic Hierarchy ◽  
Transit System ◽  
Effective Decision ◽  
Alternative Choice ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Abstract The decision support system is one of the instruments for choosing the most effective decision for cargo owner in constant fluctuated business environment. The objective of this Paper is to suggest the multiple-criteria approach for evaluation and choice the alternatives of cargo transportation in the large scale transportation transit system for the decision makers - cargo owners. The large scale transportation transit system is presented by directed finite graph. Each of 57 alternatives is represented by the set of key performance indicators Kvi and set of parameters Paj. There has been developed a two-level hierarchy system of criteria with ranging expert evaluations based on Analytic Hierarchy Process Method. The best alternatives were suggested according to this method.

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