Research on post-evaluation of reconstruction effect of old residential area in cold region based on AHP-grey clustering method

Abstract

With the improvement of people's living conditions and the advancement of urbanization, the transformation of old residential areas has attracted more and more social attention. The climate in different regions of china is very different, and the long-term ultra-low temperature and snow in the cold region are particularly serious to the damage of the buildings, which has also become the important and difficult point of the reconstruction project. In order to scientifically evaluate the implementation effect of the renovation project of the old residential area in cold region, a scientific post-evaluation index system is constructed by using the judgment matrix and membership degree analysis from five dimensions of safety benefit, comfort benefit, environmental benefit, economic benefit and social benefit. With the opinions of residents, government workers and relevant experts, a post-evaluation model based on AHP and grey clustering is constructed. The model will be applied to the residential renovation project of Harbin Keda community to verify the scientificness of the constructed index system and model, in order to provide suggestions and norms for the subsequent improvement of the residential area and the evaluation of similar projects in the future.