Optimal selection of location for Taiwanese hospitals to ensure a competitive advantage by using the analytic hierarchy process and sensitivity analysis

Wu, Cheng‐Ru; Lin, Chin‐Tsai; Chen, Huang-Chu

doi:10.1016/j.buildenv.2005.12.016

Cited by 148 publications

(99 citation statements)

References 13 publications

(19 reference statements)

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“…Some researchers affirmed this merit of AHP and used this technique to quantify Delphi survey results. In this study, twelve papers that used a combination of Delphi and AHP were identified (Shields et al 1990;Brown et al 2001;Khasnabis et al 2002;Shapira and Goldenberg 2005;Bertolini et al 2006;Wu et al 2007;Hsu et al 2008;Hyun et al 2008;Lu 2010;Lin 2011;Vidal et al 2011;Khazaeni et al 2012). Topics of these identified papers refer to various CEM areas, such as organizational issues, contracting, project planning and design, labour and personnel issues, and information technologies (ASCE 2013).…”

Section: Combination With Ahpmentioning

confidence: 99%

Section: Topic Coverage Of the Delphi Papersmentioning

confidence: 99%

“…For instance, Pan (2008) applied the Delphi method to explore the factors affecting the decision making on the selection of bridge construction methods. Wu et al (2007) used this method to identify the evaluation criteria for selecting on the optimal project location.The contracting issue received the second ranking with 18 papers involved. Some researchers identified the selection criteria for project procurement methods by using the Delphi method (Chan et al 2001;Lee and Kim 2001).…”

mentioning

confidence: 99%

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Application of Delphi Method in Construction Engineering and Management Research: A Quantitative Perspective

Ameyaw

Shan

et al. 2016

Journal of Civil Engineering and Management

190

180

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Abstract. The Delphi method has been used as a main research method by a growing number of researchers in the Construction Engineering and Management (CEM) field in the past two decades. Although a number of studies are available on the use of Delphi, few researchers fully examine the potential of the Delphi method in the combined use of statistical techniques, which is an inevitable trend for future Delphi research. This paper aims to review the combined use of Delphi and other quantitative methods in the CEM field based on a structured literature review of 88 relevant papers. All of the 88 papers are systematically identified from ten well-known peer-reviewed CEM journals published in the period of 1990-2012. Topic coverage, application requirements, and statistical techniques in the 88 Delphi papers are reviewed. The mix use of the Delphi method with three advanced modelling methods, such as Fuzzy Sets, Analytical Hierarchy Process, and Analytical Network Process is also examined. These review results provide practical references for researchers having interests in applying Delphi method in CEM research.Keywords: Delphi method; Construction engineering and management research; Quantitative perspective; Review IntroductionThe Delphi method is a structured communication and consensus building approach amongst a group of experts on a complex problem (Chan et al. 2001). This method refers to an iterative process where consensus is often reached through rounds of feedbacks of experts' opinion and judgment on a particular subject (Hallowell and Gambatese 2010b). Although sometimes the reliability of the findings derived from a Delphi study may raise some controversy because of the inappropriate design and execution of the Delphi study, such as shortcomings of the survey instrument, poor choice of experts, weak bias control, unreliable analyses, and limited feedback during the study (Gupta and Clarke 1996;Keeney et al. 2001), the Delphi method remains a particularly useful alternative for the situation when objective data are unattainable, there is a lack of empirical evidence, or experimental research is unrealistic or unethical (Hallowell and Gambatese 2010b).As an established profession in the construction industry, CEM is a practice-driven field in nature. Many research questions in this field need to address the impacts of individuals, organizations and the society on construction management activities, particularly those on planning, forecasting and decision making activities (Fellows and Liu 2009). The key to resolve these problems should draw upon the collective knowledge and experience of selected experts in a given area. By contrast to other methods such as interviews, Delphi provides a more reliable and efficient alternative for solving these problems with high uncertainty (Chan et al. 2001). Therefore, a growing number of researchers have adopted Delphi method in CEM research since the early 1990s (Hallowell and Gambatese 2010b).Although many researchers regard Delphi as a qualitative method (Hasson et ...

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Section: Combination With Ahpmentioning

confidence: 99%

Section: Topic Coverage Of the Delphi Papersmentioning

confidence: 99%

mentioning

confidence: 99%

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Application of Delphi Method in Construction Engineering and Management Research: A Quantitative Perspective

Ameyaw

Shan

et al. 2016

Journal of Civil Engineering and Management

190

180

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“…The pairwise comparison matrices for each expert that met the consistency criterion were than aggregated by calculating a geometric mean for each element in the matrix (Saaty 2000). The detailed equations involved in AHP calculation are provided in Saaty (2000) and also in Wang et al (2006), Ying et al (2008), and Wu et al (2007).…”

Section: Weights Determination At Different Levels Of Hierarchymentioning

confidence: 99%

Fire risk evaluation using multicriteria analysis—a case study

Vadrevu

Eaturu

Badarinath

2009

Environ Monit Assess

159

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Forest fires are one of the major causes of ecological disturbance and environmental concerns in tropical deciduous forests of south India. In this study, we use fuzzy set theory integrated with decision-making algorithm in a Geographic Information Systems (GIS) framework to map forest fire risk. Fuzzy set theory implements classes or groupings of data with boundaries that are not sharply defined (i.e., fuzzy) and consists of a rule base, membership functions, and an inference procedure. We used satellite remote sensing datasets in conjunction with topographic, vegetation, climate, and socioeconomic datasets to infer the causative factors of fires. Spatial-level data on these biophysical and socioeconomic parameters have been aggregated at the district level and have been organized in a GIS framework. A participatory multicriteria decision-making approach involving Analytical Hierarchy Process has been designed to arrive at a decision matrix that identified the important causative factors of fires. These expert judgments were then integrated using spatial fuzzy decision-making algorithm to map the forest fire risk. Results from this study were quite useful in identifying potential "hotspots" of fire risk, where forest fire protection measures can be taken in advance. Further, this study also demonstrates the potential of multicriteria analysis integrated with GIS as an effective tool in assessing "where and when" forest fires will most likely occur.

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“…In general, CR 0.1 was considered to be tolerable (Saaty & Vargas 1993). The detailed equations involved in AHP calculation have been provided in Saaty (2000) and also in Wang et al (2006), Wu et al (2007) and Ying et al (2008). Finally, the model (Index) of each major criterion was obtained based on fuzzy weights of its subcriteria.…”

Section: Fuzzy Ahp Methodsmentioning

confidence: 99%

Comparison of the fuzzy AHP method, the spatial correlation method, and the Dong model to predict the fire high-risk areas in Hyrcanian forests of Iran

Eskandari

Miesel

2017

Geomatics, Natural Hazards and Risk

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This study was done to evaluate the efficiency of three methods to predict the high-risk areas for fire in District Three of Neka Zalemroud forests located in Mazandaran Province, Iran. The fuzzy analytic hierarchy process (fuzzy AHP) and the spatial correlation method were used to model fire risk in the study area. The Dong model was used to provide the fire risk map. Following the construction of fire risk maps using three methods, the map of actual fires was overlaid to validate the used methods. Then the area of the high-risk and very high-risk classes of each fire risk map within the perimeters of actual fires was calculated. Results showed that the high-risk areas in the fire risk map prepared by the fuzzy AHP and spatial correlation methods closely follow the actual fires. On the other hand, the high-risk areas in the fire risk map prepared by the Dong model showed only a moderate agreement with actual fire areas. The final results showed that the fuzzy AHP model (accuracy 0.8) and the spatial correlation model (accuracy 0.92) have the strongest ability to predict the fire high-risk areas in Hyrcanian forests of Iran, relative to the Dong model (accuracy 0.51).

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Optimal selection of location for Taiwanese hospitals to ensure a competitive advantage by using the analytic hierarchy process and sensitivity analysis

Cited by 148 publications

References 13 publications

Application of Delphi Method in Construction Engineering and Management Research: A Quantitative Perspective

Application of Delphi Method in Construction Engineering and Management Research: A Quantitative Perspective

Fire risk evaluation using multicriteria analysis—a case study

Comparison of the fuzzy AHP method, the spatial correlation method, and the Dong model to predict the fire high-risk areas in Hyrcanian forests of Iran

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