Abstract. Technology has advanced and progressed tremendously, and the term city is being elevated to a new level where the smart city has been introduced globally. Recent developments in the concept of smart city have led to a renewed interest in Digital Twin. Using precise Building Information Modelling (BIM) consolidated with big data and sensors, several attempts have been made to establish digital twin smart cities. In recent years, several researchers have sought to determine the capability of smart city and digital twin for various taxonomies such as development and urban planning purposes, built environment, manufacturing, environmental, disaster management, and healthcare. Despite being beneficial in many disciplines, especially in manufacturing, built environment, and urban planning, these existing studies have shown a lack of aspect in terms of emergency or disaster-related as opposed to the elements mentioned above. This is because the researcher has not treated emergencies or disasters in much detail. Therefore, an extensive review on smart city, digital twin, BIM and disaster management and technology that revolves around these terms were summarised. In general, 39 articles from prominent multidisciplinary databases were retrieved over the last two decades based on the suggested PRISMA workflow. These final articles were analysed and categorised into four themes based on the research content, gist, and keywords. Based on the review of 39 articles related to smart city, digital twin and BIM, a workflow for the smart city digital twin and the conceptual framework for indoor disaster management was proposed accordingly. The establishment of smart city digital twins solely for an indoor emergency can be beneficial to urbanites, and it could provide numerous benefits for enhanced situation assessment, decision making, coordination, and resource allocation.

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The integration between Building Information Modeling (BIM) and Geographic Information System (GIS) is frequently discussed from time to time due to the benefits offered, especially for user navigation in the building’s indoor environment. Inequality in terms of 3D geometry and level of detail was identified as contributing to the difficulty in integrating the two models. Although there are limitations, various studies have been conducted to improve the method of integration so that the data can be utilised successfully. Therefore, this paper focuses on reviewing relevant research papers to (1) identify the basic information and structure of BIM and GIS models, (2) study the relationship and integration that occurs between the two types of models at the model geometry level, and (3) identify the application of the user navigation to the indoor building environment and highlight the future direction for the integration of BIM and GIS study. From this study, it can be identified that the standardised geometry schemes are the keys to the success of BIM and GIS integration. It can indirectly enhance the interoperability of data and helps in the development of a holistic data model for a broader scope of application. Particularly in the era of rapid development of machine learning, deep learning and internet of things (IoT) technology, where the application of integrated products through semantic web methods is seen to have an expansive room to grow significantly for location-based services (LBS) and emergency application.