Smart city technology is only considered in some cities depending on the resident requirements, whereas smart initiatives are adopted easily in others. One of the first critical steps toward understanding these aspects of Malaysian smart cities is to empirically study the citizens’ and government agencies’ aspirations to use smart city services. A Malaysia Smart Cities Stakeholders Adoption Model (MSCSA) as a case study based on the unified theory of acceptance and use of technology (UTAUT2) is being developed and evaluated in Kuala Lumpur, Malaysia. An in-depth interview with expert staff from the Plan Malaysia smart city department and Telekom Malaysia Berhad (TM one) was conducted using a mixed-methods approach. To determine the influence of seven parameters on behavioural intentions, specifically the choice to build a smart city, quantitative data were collected as questionnaires. These parameters were self-efficacy, expected effort, perceived security, perceived privacy, price value, trust in government, and trust in technology. Citizens’ intentions to use smart city services were significantly influenced by each of these characteristics. There is a definite association between perceived privacy and perceived security as a core aspect of trust in technology, as well as price value, a core aspect of trust in government. When the trust in both these is strong, stakeholders are more willing to adopt and pursue smart city services. These studies provide city officials with a technique for measuring citizen desire for smart city services, as well as outlining the components necessary for establishing a good smart city strategy that is successful.

Construction industry has become much more complex due to the large number of people and documentations involved. As a result, the full process of building construction may involve with many different types and format of information that needs to collect, document and share. In order to share this information between architect, contractor, construction manager, etc., there are need to develop a common model that can document and store this information in single platform. BIM represents a series of parametric objects that composed together to form a building model which carries all information includes their physical and functional characteristics and project life cycle information. Since BIM represent the detailed geometrical and semantic information of the building, the application of GIS is needed to manage the construction project's information resources. GIS can use information from many different sources, in many different formats and can link data sets together by common locational data such as coordinate or postal zip code. Besides, GIS can use combinations of data sets to build and analyze integrated information and also can convert the existing digital information into a form that meets the user‟s need. From this point of view, GIS can complement BIM function in order to develop a systematic platform for construction purpose. Finding of this study, there are some drawbacks in this technique especially in the construction application in term of data sharing, data integration and data management. Furthermore, the integration of GIS in BIM is studied and potential techniques are shown to overcome the drawbacks of the construction application.

University campuses consists of many buildings within a large area managed by a single organization. Like 3D city modeling, a 3D model of campuses can be utilized to provide a better foundation for planning, navigation and management of buildings. This study approaches 3D modeling of the UTM campus by utilizing data from aerial photos and site observations. The 3D models of buildings were drawn from building footprints in SketchUp and converted to CityGML using FME software. The CityGML models were imported into a geodatabase using 3DCityDB and visualized in Cesium. The resulting 3D model of buildings was in CityGML format level of detail 2, consisting of ground, wall and roof surfaces. The 3D models were positioned with real-world coordinates using the geolocation function in SketchUp. The non-spatial attributes of the 3D models were also stored in a database managed by PostgreSQL. While the methodology demonstrated in this study was found to be able to create LoD2 building models. However, issues of accuracy arose in terms of building details and positioning. Therefore, higher accuracy data, such as point cloud data, should produce higher LoD models and accurate positioning.

The digitalization of urban mechanisms relies on the integration of digital terrain and 3D city models. However, a systematic examination of this topic within the context of integrated smart cities or digital twins has been lacking, hindering reproducibility and interpretation of results. To address this gap, this study conducts a systematic literature review to explore the role of digital terrain and 3D city models in supporting urban decision-making for integrated smart cities or digital twins. By following a review protocol, research questions were formulated, and systematic search strategies were implemented involving reputable databases such as Scopus, Web of Science, Science Direct, Emerald, Taylor Francis, Springer Link, and Sage Journals. The review process included identification, screening, eligibility assessment, quality appraisal, data extraction, and thematic analysis. The thematic analysis identified eight main themes and 22 sub-themes, shedding light on various aspects of digital terrain and 3D city models in urban decision-making, including (1) data integration and interoperability, (2) integrated visualization; (3) environmental simulation; (4) digital twins application; (5) smart cities application; (6) semantic enrichment; (7) applied planning; and (8) urban planning. This systematic review identifies gaps in the field and provides directions for future studies.

Drones are becoming popular in spatial mapping or survey. The use of drones survey can be seen from it low flying heights (capable to create a clear images), accessible on difficult or non-friendly vehicle access areas, faster data acquisition and higher data resolution henceforth improve the quality of the survey. However, this paper focuses on the post-processing of drone images for 3D surface modeling. With the motivation of producing better 3D models, four software packages are used for comparison. Those software packages are eyesMap3D, Drone Deploy, Agisoft PhotoScan and Pix4Dmapper. The equipment used to ensure a high level of quality model is the Leica GPS1200+ stationary GPS module and the DJI Phantom 4 PRO drone. The Leica GPS1200+ stationary GPS module were used to track the exact position of tie points on the ground. Meanwhile the DJI Phantom 4 PRO drone is used as data inputs (images) for the software packages stated. In addition, the drone is used to fly over a golf course, with a challenge of homogenous surface for 3D surface modeling. Based on the output, it shows that each software packages produces slightly different outputs. This paper summarizes the outputs and discusses the key elements in each software packages. This variation might be useful for future references in 3D surface modeling that can conform in different applications requirements.