Proper maintenance and preservation of significant architectural heritages sites and historic buildings are necessary. However, the management of maintenance work has often been inadequate for many designated heritage and historic buildings. The restoration and preservation of architectural heritages involve considering historical significance, symbolism, and economic benefits. Decision-makers, particularly public sector officials, often face the challenge of prioritizing which architectural heritage sites to restore first, given limited budgets. Few techniques are available to determine restoration priorities for diverse historical sites, possibly due to a lack of systematized decision-making aids. Past discussions on the management and maintenance of architectural culture assets have focused more on the selection of reuse alternatives rather than the allocation of resources. This research adopts integrated methods to address the challenges decision-makers face when allocating resources for the management and maintenance problems. The purpose of this study is to develop a sustainable decision-making model for governments to address these issues. We propose an alternative decision support model to prioritize restoration needs within limited budgets. This model is constructed using fuzzy Delphi, fuzzy analysis network process (FANP), and goal programming (GP) methods. To avoid resource misallocation, this research presents a precise procedure that incorporates multi-stakeholder perspectives, as well as limited costs and resources. Additionally, it considers various factors and goals to determine the highest priority and feasible solutions. To illustrate our approach, we conducted an empirical study using seven architectural heritages sites in Taipei City. The results were analyzed in depth to demonstrate the application of our proposed model.

Authors:
Wann-Ming Wey, National Taipei University, Taiwan

About the Presenter(s)
Dr. Wann-Ming Wey is Professor (Full) and Dean, Department of Real Estate and Built Environment and International College of Sustainability Innovations (ICSI) at National Taipei University, Taiwan.

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