Public spaces play a significant role in improving social, recreational and cultural activities that are inclusive. However, smart public spaces are required to save time and costs, and to provide comfort to the public, ultimately enhancing livability. There are various user requirements and demands to respond to. This research aims to adopt intelligent technologies applied in public spaces to facilitate livability through urban facility management (UFM) involvement in improving livability. The establishment of intelligent systems in the architecture industry goes hand in hand with the growing advancement of science and technology in several aspects of human life. A fundamental key to the success of smart cities is the high quality of livability offered to their residents and visitors. The UFM can enable livability by providing data centers, access controls, integrated security systems, monitoring, smart waste, energy and water management in public spaces. This study focused on five elements of livability, including accessibility, functional infrastructure, interaction and social cohesion, amenity and participation, quality of life through safety and security and privacy. The research methodology adopts the activity theory (AT) as its underpinning theory for the qualitative data collection process (interviews and a workshop) from industry experts in two prominent smart cities in Qatar, Lusail and Msheireb, along with a literature review. This study’s results provide information on existing smart city and public space features, infrastructures and their impact on livability. The findings of this study support the development of the smart livable public spaces (SLiPS) framework. The framework is a baseline for improving livability in smart cities, which allows future updates based on existing ICT infrastructure, enabling new functions and the availability of novel technology applied by UFM. The outcome of livability leads to the achievement of smart city goals.

The street networks occupy 25% of land use and are the veins of cities. By 2050, more than two-thirds of the world’s population will live in urban areas. The urban street infrastructures and systems are expected to serve the public in performing mandatory and social activities on the streets. In addition, walkability and mobility within urban streets are linked with better public health demands. Therefore, there is a need for the public street to adopt smart features to provide better public health towards limiting the spread of covid.The study aims to develop a framework for smart street strategies to facilitate post covid built environment. The study adopts an integrative approach to deduct the smart street features through a robust literature review and workshops that influence post-Covid built environment within the urban design (Infrastructure) and information management. The study objective includes identifying the processes for adapting smart street strategies and healthcare concerns that can be leveraged to support public health in cities. As a result, the strategy can be adopted and applied by policymakers for implementation worldwide. The contributing features of the effort will focus on tracking, controlling, and preventing analogy. As a result, the framework will provide a baseline for neighborhoods, communities, and cities to develop and integrate novel strategies for managing public health to have an effective and efficient post-Covid pandemic built environment.

Current practices in the construction industry could negatively affect the long lifecycle of building management due to the lack of information and stakeholder management. The purpose of this paper is to identify the critical success factors (CSFs) of integrating BIM models into facility management systems (FMS). This paper conducted a series of semi-structured interviews with industry experts in the FM sector. It used a structured questionnaire to identify the hierarchy arrangement of the identified CSFs using statistical analogies. The findings demonstrated a robust consistency with significant correlation, alongside a strong correlation established using Spearman’s rank correlation coefficient and strong agreement using Kendall coefficient. Additionally, the Relative Importance Index (RII) was employed to prioritize factors according to the professionals’ assessments, yielding the subsequent impact ranking: (1) define the OIR, AIR, and FM information requirements; (2) acquire correct files, data, and formats; and (3) update of information requirements during the defect liability period (DLP). These findings would help in assisting the management of information during FM operations by establishing clear guidelines to be added into the EIR in the early project initiation stages for a successful integration of BIM-FMS for more efficient life cycle management, operation, and maintenance by the FM.