Critical success factors for urban regeneration projects in Korea

Yu, Jungho; Kwon, Hae-Rim

doi:10.1016/j.ijproman.2010.09.001

Cited by 76 publications

(52 citation statements)

References 15 publications

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“…A number of researchers favoured the use of absolute deviation to measure the absolute difference to the mean value of a data set and set an absolute variance of less than 5% or 10% as an threshold in their studies (Hallowell and Gambatese, 2009a;2009b;2010a;Hallowell et al, 2011;Hallowell and Calhoun, 2011). The use of standard deviation in consensus measurement was also widely adopted in CEM areas such as organization issues, contracting, project planning and design, as well as information technologies (Arditi et al 1999;del Caño and de la Cruz 2002;Gunhan and Arditi 2005a;2005b;Chinowsky et al 2007;Dawood and Sikka 2009;Dawood 2010;Vidal et al 2011;Yu and Kwon 2011;Yasamis-Speroni et al 2012). However, there is no agreement on the minimum value of standard deviation, under which the consensus of the Delphi survey could be accepted.…”

Section: Consensus Measurementmentioning

confidence: 99%

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

Ameyaw

Shan

et al. 2016

Journal of Civil Engineering and Management

202

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: Consensus Measurementmentioning

confidence: 99%

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

Ameyaw

Shan

et al. 2016

Journal of Civil Engineering and Management

202

180

View full text Add to dashboard Cite

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“…Naturally, the model to be identified will vary depending on the location, physical characteristics, building density, social and environmental characteristics of the urban regeneration area, the provisions of the laws and legislation, and on the actor to perform the urban regeneration process (Yu and Kwon, 2011). The appropriate model may be selected through answering the questions to be prepared taking into consideration the opportunities, challenges and risks of each business model for urban regeneration, which has been analyzed and developed.…”

Section: Resultsmentioning

confidence: 99%

Structural Models of Urban Regeneration in Emerging Markets-Turkey Case

Camlibel¹,

Alhanlioglu²,

Uğurlu³

et al. 2015

22nd Annual European Real Estate Society Conference

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Purpose -As a national movement, urban regeneration is the future of Turkish residential real estate market. In this paper, the models that let housing sector to make sustainable investments to urban regeneration are examined. In this regard, the purpose of this paper is to investigate the structural models of urban regeneration projects take place in emerging markets from the perspective of Turkish examples. It estimates various business and financial models according to varying dynamics of Turkey's recent urban regeneration projects. The paper demonstrates decision making approaches to utilize models that will fit better under changing circumstances.Design/methodology/approach -The paper reviews the differences of urban regeneration projects in developed and emerging markets. It explores the driving forces behind urban regeneration, legal infrastructure, and practices in Turkey specifically. It draws upon recent urban regeneration examples in Turkey. The paper analyses the existing models and proposes methods to choose the proper models that match with the varying dynamics.Findings -Urban regeneration needs are different for developed and emerging markets and even for each emerging markets. There is no one-fits-all model in urban regeneration projects. Various dynamics play roles in adoption of proper business and financing model in regeneration projects. Decision making process for the model that fits the project usually lacks systematic analysis. However, urban regeneration needs in emerging markets display similar characteristic as they stem from the same dynamics. Hence urban regeneration practices and models can be adapted to the projects of other emerging markets. In planning stage of urban regeneration projects while methods, resources and financing tools are being planned and allocated, a checklist and/or a flowchart consist of some critical questions addressing the proper business models can be used as decision making tools/approaches.Research limitations/implications -This paper is essentially exploratory and raises a number of questions for further investigation. There is scope to extend the research to examine other business development models and propose advanced decision making approaches addressing complicated factors.Originality/value -This is the first paper to examine business models in urban regeneration projects and accordingly propose decision making approaches for adopting the suitable model to follow.

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“…Black, Akintoye & Fitzgerald, 2000;Cheung, Yiu & Chiu, 2009;Clark, 1998;Fortune & White, 2005;Gelbard & Carmelli, 2009;Görög, 2008;Jang & Lee, 1998;Ng & Tang, 2010;Pinto & Kharba, 1996;Pinto & Slevin, 1987;Turner, 2004;Yang, Huang & Wu, 2011;Yeo, 2002;Yu & Kwon, 2011;Westerveld, 2003) These 9 factors encapsulate the most important areas which the critical success factors cover.…”

Section: Figure 1 the Hierarchical Modelmentioning

confidence: 99%