Establishment and optimization of an evaluation index system for brownfield redevelopment projects: An empirical study |
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Affiliation: | 1. School of Electronics Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Republic of Korea;2. Department of Electrical Engineering, Engineering Research Institute (ERI), Gyeongsang National University, 501 Jinjudaero, Jinju, Gyeongnam 52828, Republic of Korea;1. 3;2. School of Environment and Technology, University of Brighton, Brighton, UK;3. VERTASE-FLI, 19 Napier Court, Barlborough Links, Barlborough, Sheffield S43 4PZ, UK;4. Tecnalia Research and Innovation Parque Tecnológico de Bizkaia, Derio, E-48160, Bizkaia, Spain;5. Deltares, Rotterdamseweg 185, Delft 2629HD, The Netherlands;6. PN Studio, viale Monte Nero 12, 20135 Milan, Italy;8. DECHEMA e.V., Theodor-Heuss-Allee 25, D-60486 Frankfurt a.M., Germany;1. Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, Wuhan;2. Peking University School of Nursing, 38 Xueyuan Road, Haidian District, Beijing, China |
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Abstract: | Brownfield redevelopment has recently become the focus of attention of governments, communities, environmental advocates, scientists, and researchers around the world. The purpose of this study is to provide a framework for establishing and optimizing an evaluation index for brownfield redevelopment projects (BRPs). This framework involves three steps: the initial design, testing and optimization, and verification. With the help of two standard statistical software packages, the reliability and validity of the initialized index system are established, and then the optimization of the initial index system is carried out by means of Factor Analysis. The effectiveness of the optimization of the index system is verified through Structural Equation Modeling. Furthermore, an illustration example is used to show how to apply the established index system in the real world. |
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Keywords: | Brownfield redevelopment project Evaluation index system Establishment and optimization Factor analysis Structural equation modeling |
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