Reusing abandoned public buildings is a positive strategy in sustainable urban development. An appropriate assessment method is needed to reduce the risks of redeveloping derelict public properties. The Delphi method is an optimal group decision-making technique; whereas the analytical hierarchy process (AHP) method is useful for solving multicriteria decision-making problems. In addition, fuzzy logic manages artificial uncertainty and ambiguity, where an explicit number or ratio can express the level of preference. This study uses the Delphi method, fuzzy logic, and AHP (DFAHP) as a risk assessment model to redevelop derelict public buildings. The DFAHP provides an objective reference for investment decisions and is beneficial in reducing the risk of the public sector investing in the reuse of abandoned public buildings, in aiding in reuse cases that revitalize urban economic development, and in appreciating the value of sustainable city development.
The purpose of this study is to explore the potential use of a digital image analysis method to quantify fire-related damages. Temperature regimes, durations of firing temperatures, and changes to color components are investigated. This research involves testing mortar specimens under different elevated temperatures, using a digital camera to capture images of the tested specimens, and applying the “image color intensity analyzer” to the images in order to obtain different intensities of color components in both the RGB and hue-saturation-intensity (HSI) color spaces. The study demonstrates that, as a result of elevated temperatures, red is the most dominant component in the color change, followed by green and blue. Parameters affecting the color change include maximum temperatures and duration of firing. This study also shows that hue and saturation correlate very well with temperatures, which implies that the HSI color space can be applied to study the behavior of fire-damaged concrete.
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