Interdependent urban renewal project selection under the consideration of resource constraints

This paper proposes an application of the fuzzy Delphi method, the analytic network process (ANP) and zero – one goal programming (ZOGP) for the urban renewal project selection problem in a redeveloping urban area in Taichung City, Taiwan. Urban renewal project selection means the identification of the most cost-beneficial projects (the projects that will produce most cost benefit) in order to maximize the net benefit to the public and to allocate resources most efficiently. In order to evaluate different urban renewal projects, a hierarchical network model based on various factors and the interactions of factors is presented. By incorporating experts’ opinion, a priority index can be calculated for each urban renewal project studied, and a performance ranking of urban projects renewal can be generated. In this paper an improved urban renewal project selection methodology, which reflects interdependencies among evaluation criteria and candidate project using an integrated approach, is suggested. Finally, we introduce a method of solution through an empirical real-world urban renewal project selection example on an ongoing decision-making project in Taichung City, Taiwan using ANP – ZOGP. The results provide guidance to the government regarding strategies for accepting orders for redeveloping urban environments.