scholarly journals Multi-Criteria Evaluation of Site Selection for Smart Community Demonstration Projects

2021 ◽  
Author(s):  
Ming-Shiu Sung ◽  
Shen-Guan Shih ◽  
Yeng-Horng Perng
Keyword(s):  
Site Selection ◽  
Smart Cities ◽  
Evaluation Model ◽  
Evaluation Criteria ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Multi Criteria Evaluation ◽  
Simulation Testing ◽  
Selection For ◽  
Smart Community

Some researchers in Taiwan argue that the current mechanism by which government subsidies are allocated for smart city demonstration projects warrants improvement. A comprehensive literature review determined that the development potential of smart cities should be prioritized in site selection for such demonstration projects. This study developed an evaluation framework on the basis of multi-criteria evaluation methods to enable the identification of suitable smart community demonstration sites. Evaluation criteria were first identified through the Delphi method. Next, the weights of each criterion were derived through the analytic hierarchy process. Furthermore, the capability of the proposed evaluation model was determined through simulation testing.

scholarly journals Multi-Criteria Evaluation of Site Selection for Smart Community Demonstration Projects

Smart Cities ◽  
2022 ◽  
Vol 5 (1) ◽  
pp. 22-33
Author(s):  
Ming-Shiu Sung ◽  
Shen-Guan Shih ◽  
Yeng-Horng Perng
Keyword(s):  
Site Selection ◽  
Smart City ◽  
Smart Cities ◽  
Evaluation Model ◽  
Evaluation Criteria ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Multi Criteria Evaluation ◽  
Selection For ◽  
Smart Community

Definition and imagination of an ideal city can be traced back to the origin of garden city in UK about 100 years ago. Since then, many different names and topics have been proposed and smart city is the one most recently proposed. Starting from 2000, more and more countries have developed various demonstration projects for the promotion of smart city in order to provide total solution for the promotion of sustainable development and social welfare. In fact, some of them have been successfully carried out. Some researchers in Taiwan argue that the current mechanism by which government subsidies are allocated for smart city demonstration projects warrants improvement. A comprehensive literature review determined that the development potential of smart cities should be prioritized in site selection for such demonstration projects. This study developed an evaluation framework on the basis of multi-criteria evaluation methods to enable the identification of suitable smart city demonstration sites. Evaluation criteria were first identified through the Delphi method. Next, the weights of each criterion were derived through the analytic hierarchy process. Furthermore, the capability of the proposed evaluation model was determined through simulation testing. Four demonstration sites are simulated, they are: Taipower Smart Community, Yinlin Technology University campus, Taichung Creative Cultural Park, and Asian New Bay Area in Kaohsiung, It is expected that the research findings in this thesis can be helpful to the future decision for the demo site selection of smart city.

scholarly journals A Model for Optimizing Location Selection for Biomass Energy Power Plants

Processes ◽  
2019 ◽  
Vol 7 (6) ◽  
pp. 353 ◽  
Author(s):  
Chia-Nan Wang ◽  
Tsang-Ta Tsai ◽  
Ying-Fang Huang
Keyword(s):  
Site Selection ◽  
Power Plants ◽  
Selection Process ◽  
Agricultural Waste ◽  
Evaluation Criteria ◽  
Multicriteria Decision Making ◽  
Biomass Energy ◽  
Analytic Hierarchy ◽  
Location Selection ◽  
Selection For

In addition to its potential for wave power, wind power, hydropower, and solar power, it can be said that Vietnam is a country with great potential for biomass energy derived from agricultural waste, garbage, and urban wastewater, which are resources widely available across the country. This huge amount of biomass, however, if left untreated, could become a major source of pollution and cause serious impacts on ecosystems (soil, water, and air), as well as on human health. In this research, the authors present a fuzzy multicriteria decision-making model (FMCDM) for optimizing the site selection process for biomass power plants. All of the criteria affecting location selection are identified by experts and literature reviews; in addition, the fuzzy analytic hierarchy process (FAHP) method was utilized so as to identify the weight of all of the criteria in the second stage. Furthermore, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is applied for ranking potential locations in the final stage of this research. As a result, Long An (DMU/005) was found to be the best location for building biomass energy in Vietnam. The main contributions of this work include modeling the site selection decision process under fuzzy environment conditions. The proposed approaches also can address the complex problems in site selection; it is also a flexible design model for considering the evaluation criteria, and is applicable to location selection for other industries.

A grey approach to site selection for nursing homes: An extension of the fuzzy analytic hierarchy process

2021 ◽  
pp. 1-12
Author(s):  
Yun Fan ◽  
Zhigeng Fang ◽  
Sifeng Liu ◽  
Jun Liu
Keyword(s):  
Nursing Home ◽  
Nursing Homes ◽  
Analytic Hierarchy Process ◽  
Site Selection ◽  
Indicator System ◽  
Layer System ◽  
Analytic Hierarchy ◽  
Selection For ◽  
Grey Number ◽  
Hierarchy Process

The construction of more nursing homes has become one of the most needed pension services in China, and the issue of site selection is one of the most important steps in their construction. The problem of site selection for nursing homes is a complex system engineering problem that involves not only economic interests but also social interests. Due to the limitations of human thinking in the evaluation process, the evaluation value of a nursing home site might be an interval grey number. Moreover, the evaluation indicator system for nursing home locations is a two-layer system that has been neglected in the literature. Therefore, the fuzzy analytical hierarchy process is extended to a new grey approach, i.e., the grey analytic hierarchy process, which can solve the evaluation problems for a two-layer indicator system under an interval grey environment. By constructing a three-point interval grey number, grey evaluation criteria are given to obtain a judgment matrix for interval grey numbers. Definitions of the initial weights, nongreyness weights and integrated weights are proposed to find the best evaluation object. Finally, the effectiveness of the method proposed by this paper is verified by comparative analyses of other grey methods.

scholarly journals Analysis of Multi-Criteria Evaluation Method of Landfill Site Selection for Municipal Solid Waste Management

2018 ◽  
Vol 34 ◽  
pp. 02010 ◽  
Author(s):  
Habiba Ibrahim Mohammed ◽  
Zulkepli Majid ◽  
Norhakim Bin Yusof ◽  
Yamusa Bello Yamusa
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Site Selection ◽  
Solid Waste Management ◽  
Selection Process ◽  
Landfill Site ◽  
Decision Makers ◽  
Landfill Site Selection ◽  
Multi Criteria Evaluation ◽  
Selection For

Landfilling remains the most common systematic technique of solid waste disposal in most of the developed and developing countries. Finding a suitable site for landfill is a very challenging task. Landfill site selection process aims to provide suitable areas that will protect the environment and public health from pollution and hazards. Therefore, various factors such as environmental, physical, socio-economic, and geological criteria must be considered before siting any landfill. This makes the site selection process vigorous and tedious because it involves the processing of large amount of spatial data, rules and regulations from different agencies and also policy from decision makers. This allows the incorporation of conflicting objectives and decision maker preferences into spatial decision models. This paper particularly analyzes the multi-criteria evaluation (MCE) method of landfill site selection for solid waste management by means of literature reviews and surveys. The study will help the decision makers and waste management authorities to choose the most effective method when considering landfill site selection.

Evaluation of Site Selection for National Strategic Reserve Depots of Refined Petroleum Products

2013 ◽  
Vol 779-780 ◽  
pp. 1607-1612 ◽  
Author(s):  
Yong Jie Niu ◽  
Xin Mu ◽  
Chun Jiang Zhao ◽  
Hong Qi Wang
Keyword(s):  
Site Selection ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Case Analysis ◽  
Petroleum Products ◽  
Fuzzy Evaluation ◽  
Evaluation Indexes ◽  
The Index System ◽  
Selection For ◽  
Strategic Reserve

Based on the primary factors that influence site selection for National Strategic Reserve Depots of Refined Petroleum Products, this paper establishes a comprehensive system of evaluation indexes. In accordance with the different tiers of the index system, this paper puts forward an evaluation model based on the multi-tier fuzzy evaluation method. Then the evaluation model is proved to be reasonable, effective and feasible via case analysis and calculation.

scholarly journals Multi Criteria Evaluation Framework for Prioritizing Indian Railway Stations Using Modified Rough AHP-Mabac Method

2018 ◽  
Vol 19 (2) ◽  
pp. 113-127 ◽  
Author(s):  
Haresh Kumar Sharma ◽  
Jagannath Roy ◽  
Samarjit Kar ◽  
Olegas Prentkovskis
Keyword(s):  
Multiple Criteria Decision Making ◽  
Evaluation Process ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Railway Stations ◽  
Validity Testing ◽  
Multi Criteria Evaluation ◽  
Criteria Weights ◽  
Indian Railway ◽  
Hierarchy Process

Abstract This study proposes a hybrid multiple criteria decision making (MCDM) methodology for evaluating the performance of the Indian railway stations (IRS). Since the customers are heterogeneous and their requirements are often imprecise, the evaluation process is a critical step for prioritizing the IRS. To improve the existing approaches, an efficient evaluation technique has been proposed by integrating rough numbers, analytic hierarchy process (AHP) and multi-attribute border approximation area comparison (MABAC) methods in rough environment. The relative criteria weights based on their preferences given by experts is determined by rough AHP whereas evaluation of the alternatives based on these criteria are done by the modified rough MABAC method. A case study of prioritizing different railway stations in India is provided to demonstrate the efficiency and applicability of the proposed method. Among different criteria “proactively” is observed to be the most important criteria in our analysis, followed by ‘Railfanning’ and ‘DMO’ is found to be the best among the forty IRS in this study. Finally, a comparative analysis and validity testing of the proposed method are elaborated and the methodology provides a standard to select IRS on the basis of different criteria.

Combining AHP and TOPSIS Methods to Evaluate Investment for Wind Farm Construction

2013 ◽  
Vol 860-863 ◽  
pp. 280-286 ◽  
Author(s):  
Xiang Feng Zhang
Keyword(s):  
Alternative Energy ◽  
Wind Farm ◽  
Evaluation Method ◽  
Evaluation Criteria ◽  
Wind Farms ◽  
Investment Strategy ◽  
Analytic Hierarchy ◽  
Multi Criteria Evaluation ◽  
Order Preference ◽  
Rational Investment

Wind is one of the most promising sources of alternative energy. The construction of wind farms grows quickly in China. It is necessary for stakeholders to estimate investment costs and make good decisions on a wind power project by making a budget for the investment. However, the identification of rational investment practices is technically challenging because of the lack of scientific tools to evaluate optimal decisions. A multi-criteria evaluation method was proposed to select rational investment strategy for wind farm construction. The method is based on the analytic hierarchy process (AHP) together with a technique for order preference by similarity to ideal solution (TOPSIS). A decision problem hierarchy with three layers were investigated. The top layer is an objective layer for evaluating the investment rationality. The intermediate layer includes three evaluation criteria, that is, configuration of wind turbine generator systems, physical environment and social environment. Some relative and important indicators for each criterion are in the low layer. The evaluation results illustrate that the proposed method is practical and helpful to indentify the investment rationality for wind farms.

scholarly journals Assessing the Contribution of Urban Freight Terminals in Last Mile Operations

2016 ◽  
Vol 17 (3) ◽  
pp. 231-241 ◽  
Author(s):  
Eftihia Nathanail ◽  
Michael Gogas ◽  
Giannis Adamos
Keyword(s):  
Performance Indicator ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Urban Freight ◽  
Multi Criteria Evaluation ◽  
Last Mile ◽  
Multi Stakeholder ◽  
Hierarchy Process ◽  
Freight Terminals

Abstract This paper introduces a multi-stakeholder multi-criteria evaluation framework, which can be used for the assessment of the last mile distribution performance of urban freight terminals. To this end, a comparative analysis is conducted addressing two Greek urban intermodal freight terminals located at the port of Thessaloniki (ThPA) and Kuehne+Nagel (K+N)’s premises. The assessment of the terminals’ performance relies on a tailored multi-criteria Key Performance Indicator (KPI)-based evaluation framework, whereas the selection and significance of the incorporated criteria and KPIs is predetermined by the relevant responsible stakeholders, who imposed their viewpoint through an analytic hierarchy process. Results showed that ThPA was ranked first according to its performance pertaining to the role of an intermodal interchange; still, K+N’s performance index was only 8.5% lower than ThPA’s, while in specific KPIs it seems that it performs in a better way.

scholarly journals Multi-Criteria Performance Evaluation System in the Industrial Heritage Reuse Plan

2021 ◽  
Vol 943 (1) ◽  
pp. 012034
Author(s):  
C K Weng ◽  
C F Lai ◽  
Y C Chien ◽  
W C Yeh
Keyword(s):  
Performance Evaluation ◽  
Evaluation System ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Influencing Factor ◽  
Analytic Hierarchy ◽  
Industrial Heritage ◽  
Multi Criteria Evaluation ◽  
The Hierarchical Structure ◽  
Major Factors

Abstract Industrial heritage is unique in terms of its patterns, reuse characteristics, economic relevance and social operations. Under the government’s “Industrial Heritage Regeneration Project”, a menu of outcome/performance assessments have been in practice and have evolved. This paper combines expert methods, the Analytic Hierarchy Process, and the Multi-criteria Evaluation Method, along with qualitative and quantitative data, to clarify the hierarchical structure and weight of factors that influence outcome/performances. The research purpose is to establish an integrated multi-criteria performance evaluation model for the reuse of industrial heritage. The findings identify a long list of factors by crossing the four major factors concerning the reuse of industrial heritage, namely regeneration creativity, operational management, implementation effectiveness and sustainable developments. Regeneration creativity is considered as the most important element, and the presentation of thematic plans and characteristics is the most important influencing factor. It is suggested that clarifications should be made concerning the factors that affect different facets in the execution of reuse initiatives. The research findings can serve as a reference for decision-making in reuse and development by reflecting the culture and value for the reuse and implementations of industrial heritage.

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