## 1 Introduction  
The construction sector is an industry with a high intensity of raw material consumption, corresponding to about a half of the Earth's raw materials [1, 2]. In addition, over one half of annual material input returns as waste in the industrialized countries every year [3]. Construction and Demolition Waste (CDW) accounts for one third of the total amount of waste by volume in the EU, as reported by the EUROSTAT 2019 Waste Statistics [4]. Considering the high consumption of raw materials and the high level of discard production, the CDW management process must be reengineered to reduce scrap and to take advantage of the high potential for reusing and recycling materials when construction waste is correctly identified and separated through selective demolition procedures [5]. Waste management in the Architecture, Engineering, Construction, and Operations (AECO) industry requires adopting a 'cyclic' rather than a 'linear' approach [6]. The transition toward a circular economy approach in the AECO sector is aligned with the global framework to avoid dangerous climate change effects set by the Paris Agreement [7]. Most of existing studies adopted Building Information Modelling (BIM) approaches to introduce environmentally sustainable practices, specifically to the AECO industry, in the building design phase from the designer and contractor's points of view [8]. Few studies have analyzed the integration of BIM and Green Public Procurement (GPP) in construction procurement to evaluate the environmental impact of the bids [9]. However, a comprehensive application of Information Modelling and Management (IMM) methods and GPP from the Public Client's point of view, aiming to evaluate and reduce the environmental impact of a building related to resource and waste management during design and call for tenders phases, represents a gap in the literature. This can be critical considering the high purchasing power of public organizations and institutions [10] and the poor competences in the Italian context in drafting calls for tender documents including environmentally sustainable criteria [11]. The goal of the presented research is to fill this gap by defining a replicable model that adopts IMM and GPP for a sustainable use of resources and CDW minimization and management in AECO sector. The methodology covers the design phases and the call for tenders phase of a public construction process. During the preliminary design phase, digital techniques for field surveys and data management are applied by a defining waste audit and a related digital inventory of materials. This supports proper selective demolition planning and demolition waste management. During the design phase, the creation of BIM models for the designed facilities enables construction waste management and the definition of on-site reusing and off-site recycling strategies for demolition waste materials. During the call for tenders phase, GPP is adopted to a Most Economically Advantageous Tender (MEAT) procedure by introducing award criteria to evaluate the bids in terms of their environmental impact and integration of sustainable practices. All of the data and information from the design stages performed via IMM approaches support the definition of the tender documents and award criteria. The BIM model allows the management of waste and the related recycled and reused quantities for construction site planning. This research will provide the Public Client a method to integrate and evaluate CDW minimization and selective demolition criteria from the design phase to the call for tenders phase of a public construction process, thus encouraging construction companies to propose and apply sustainable practices. This will also help companies to embrace circular economy principles and processes by renewing and enhancing their own business models. The efficacy of the proposed methodology is evaluated through the analysis of the responses from construction companies during the call for tenders, and in particular, the responses from the winning one.