The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVI-4/W5-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W5-2021, 391–396, 2021
https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-391-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W5-2021, 391–396, 2021
https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-391-2021

  23 Dec 2021

23 Dec 2021

MODELLING IMMOVABLE ASSET IN 3D USING CITYGML 3.0 CONCEPT TO SUPPORT SMART CITY INITIATIVES

A. A. M. Nasir, S. Azri, and U. Ujang A. A. M. Nasir et al.
  • 3D GIS Research Group, Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

Keywords: Smart Cities, GIS, Asset Management, 3D modelling, CityGML

Abstract. Urbanization phenomenon is a key role that contributes to the smart cities development. The expansion of urban growth requires everything to be smart and controlled by advance technology for efficient urban management. One of the important aspects that often overlooked in realizing smart cities is asset management. Asset management is an approach for managing, monitoring and maintenance of assets. Previous studies showed that there are several efforts in managing asset by integrating the asset with Geographic Information System (GIS). However, several limitations can be seen from the studies such as unavailability of real visualization and limitation on asset descriptions although we believe that 3D offers rich information and real visualization for asset management practice. Therefore, to achieve an effective asset management, we proposed to conceptualize the asset with the latest version of CityGML 3.0. The aim of this paper is to model the immovable asset using CityGML 3.0 concept. We adopted the concept of occupied and unoccupied spaces to model the public hall, owned by Johor Bahru City Council (MBJB). The hall was modelled based on point cloud data set from Terrestrial Laser Scanning (TLS) and Unmanned Aerial Vehicle (UAV). The attribute data for the hall was stored in 3DCityDB for information retrieval and query. The result showed that the hall was successfully visualized and information regarding the asset can be retrieved. With this approach, it is believed that an effective 3D asset management system can be developed in the future, to ensure adequate system performance and effective cost operational.