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 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 Smart City Governance Evaluation in the Era of Internet of Things: An Empirical Analysis of Jiangsu, China

2021 ◽  
Vol 13 (24) ◽  
pp. 13606
Author(s):  
Wei-Ling Hsu ◽  
Miao Qiao ◽  
Haiying Xu ◽  
Chunmei Zhang ◽  
Hsin-Lung Liu ◽  
...  
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Rapid Development ◽  
Research Area ◽  
Evaluation Framework ◽  
Decision Makers ◽  
Three Dimensions ◽  
Analytic Hierarchy ◽  
New Research ◽  
Hierarchy Process

With the rapid development of smart cities all over the world, the evaluation of the smart city has become a new research hotspot in the academic circles. Nevertheless, there still exist a series of common problems in current smart city evaluation, including the cognitive deprivation, lack of experience in planning, low coordination level, etc. Therefore, it is critical to establish a new hierarchy for smart city evaluation indicators, especially in the 5G era. Based on literature review, expert consensus, and the fuzzy analytic hierarchy process, this study developed an innovative smart city evaluation framework. In the framework, an index comprising three dimensions, i.e., smart economy, smart society, and smart environmental protection, as well as several attributes for these dimensions for smart city evaluation were established. Then, taking Jiangsu Province, the fastest-growing province in China, as the research area, the development level of smart city for the cities in Jiangsu was calculated. The results have verified the effectiveness of the framework, which can provide suggestions for sustainable urbanization, and help urban decision-makers to promote the efficient development of smart cities.

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.

scholarly journals Smart Urban Mobility System Evaluation Model Adaptation to Vilnius, Montreal and Weimar Cities

2022 ◽  
Vol 14 (2) ◽  
pp. 715
Author(s):  
Simona Zapolskytė ◽  
Martin Trépanier ◽  
Marija Burinskienė ◽  
Oksana Survilė
Keyword(s):  
Smart City ◽  
Evaluation Model ◽  
Evaluation Methods ◽  
Urban Mobility ◽  
Analytic Hierarchy ◽  
Multi Criteria Evaluation ◽  
Mobility System ◽  
Smart Mobility ◽  
Simple Additive Weighting ◽  
Hierarchical Evaluation

To date, there is no developed and validated way to assess urban smartness. When evaluating smart city mobility systems, different authors distinguish different indicators. After analysing the evaluation indicators of the transport system presented in the scientific articles, the most relevant and influential indicators were selected. This article develops a hierarchical evaluation model for evaluating a smart city transportation system. The indicators are divided into five groups called “factors”. Several indicators are assigned to each of the listed groups. A hybrid multi-criteria decision-making (MCDM) method was used to calculate the significance of the selected indicators and to compare urban mobility systems. The applied multi-criteria evaluation methods were simple additive weighting (SAW), complex proportional assessment (COPRAS), and technique for order preference by similiarity to ideal solution (TOPSIS). The significance of factors and indicators was determined by expert evaluation methods: the analytic hierarchy process (AHP), direct, when experts evaluate the criteria as a percentage (sum of evaluations of all criteria 100%) and ranking (prioritisation). The evaluation and comparison of mobility systems were performed in two stages: when the multi-criteria evaluation is performed according to the indicators of each factor separately and when performing a comprehensive assessment of the smart mobility system according to the integrated significance of the indicators. A leading city is identified and ranked according to the smartness level. The aim of this article is to create a hierarchical evaluation model of the smart mobility systems, to compare the smartness level of Vilnius, Montreal, and Weimar mobility systems, and to create a ranking.

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.

scholarly journals Smart Building Integration into a Smart City: Comparative Study of Real Estate Development

2020 ◽  
Vol 12 (22) ◽  
pp. 9376
Author(s):  
Rasa Apanaviciene ◽  
Rokas Urbonas ◽  
Paris A. Fokaides
Keyword(s):  
Real Estate ◽  
Smart City ◽  
Smart Cities ◽  
Evaluation Framework ◽  
Comparative Case Study ◽  
Real Estate Development ◽  
Smart Buildings ◽  
Smart Building ◽  
Development Stages ◽  
Whole Life Cycle

Smart buildings and smart cities are not the future perspectives anymore—the smart building integration into a smart city is an actual question for today and tomorrow. Development of smart buildings not only enhances the smart city concept but also promotes positivity to the urban development and national economy, and increases the quality of life of the whole population reacting to global challenges of sustainability. The innovative smart building and smart city technologies enable us to overcome these challenges by being employed through all real estate (RE) project development stages. The Evaluation Framework for Real Estate Development in Smart Cities created by the authors provides the possibility to assess the existing as well as to forecast future RE projects integration into a smart city during the whole life-cycle stage. The practical application of the presented evaluation framework was illustrated by the comparative case study. Based on the created smart building integration into a smart city evaluation framework for real estate development, 10 RE projects in Lithuania and over the world were assessed and rated by selected criteria relevant to different RE development stages. The evaluation results revealed that, especially at the design and construction stages, the existing intelligence of RE projects and/or cities is insufficient. Although real estate projects are technologically advanced as single entities, the integration into smart city networks is limited by interoperability capabilities of the cities or by different strategic goals settled by real estate developers.

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.

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