ORIGINAL ARTICLE
Synergy of BIM, GIS, and open-access geospatial data in 3D modelling for property management
1
Department of Geodesy, Faculty of Environmental Engineering and Geodesy, University of Agriculture in Krakow, Balicka 253a, 31-120 Krakow, Poland
2
Geodetic Students Society, Faculty of Environmental Engineering and Geodesy, University of Agriculture in Krakow, Balicka 253a, 31-120 Krakow, Poland
A - Research concept and design; B - Collection and/or assembly of data; C - Data analysis and interpretation; D - Writing the article; E - Critical revision of the article; F - Final approval of article
Submission date: 2025-06-09
Final revision date: 2025-09-12
Acceptance date: 2025-10-01
Publication date: 2025-11-04
Corresponding author
Reports on Geodesy and Geoinformatics 2025;120:40-55
KEYWORDS
TOPICS
ABSTRACT
Three-dimensional modelling of buildings requires reliable data sources and sophisticated tools capable of delivering exhaustive models that can facilitate property management. The authors devised a methodology for 3D building modelling using only open-access geospatial databases like Light detection and ranging (LiDAR) scanning, map and photogrammetry resources, and the relevant publicly available land and topography databases. The models integrate building geometry and detailed object information, which makes them versatile tools for property valuation, management, and structural health monitoring. The study brings together Building Information Modeling (BIM) and Geographic Information Systems (GIS) tools that can integrate spatial data and build precise models with details of critical parts of buildings, such as roofs, walls, window and door openings, balconies, terraces, hard infrastructure, and other structural and fit-out components. The methodology's performance and versatility were verified on single-family residential buildings in Kraków (Poland). The results have confirmed that the constructive collaboration of open-access geospatial data, GIS, and BIM yields high-grade 3D models for structural health monitoring, action planning, and building life cycle management. This approach leads to effective property (resources) management and streamlines planning and taking actions over the life cycle.
REFERENCES (61)
1.
Altuntas Cihan. (2019). Urban area change visualization and analysis using high density spatial data from time series aerial images. Reports on Geodesy and Geoinformatics. 107 (1): 1–12-1–12.
2.
Bas Marcin. (2024). Impact of the Apartment’s Window Exposure to World Directions on Transaction Price. Real Estate Management and Valuation. 32 (4): 44–54-44–54. doi:10.2478/remav-2024-0034.
3.
Biljecki Filip, Ledoux Hugo, Stoter Jantien. (2016). An improved LOD specification for 3D building models. Computers, Environment and Urban Systems. 59: 25–37-25–37. doi:10.1016/j.compenvurbsys.2016.04.005.
4.
Biljecki Filip, Stoter Jantien, Ledoux Hugo, Zlatanova Sisi, Çöltekin Arzu. (2015). Applications of 3D City Models: State of the Art Review. ISPRS International Journal of Geo-Information. 4 (4): 2842–2889-2842–2889. doi:10.3390/ijgi4042842.
6.
Cienciała Agnieszka, Sajnóg Natalia, Sobolewska-Mikulska Katarzyna. (2023). Unreliability of cadastral data on parcel area and its effect on sustainable real estate valuation. Reports on Geodesy and Geoinformatics. 116 (1): 39–46-39–46. doi:10.2478/rgg-2023-0009.
7.
Congiu Eleonora, Quaquero Emanuela, Rubiu Giulia, Vacca Giuseppina. (2024). Building Information Modeling and Geographic Information System: Integrated Framework in Support of Facility Management (FM). Buildings. 14 (3): 610-610. doi:10.3390/buildings14030610.
8.
Copiello Sergio, Cecchinato Filippo, Haj Salih Mohammed. (2021). The Effect of Hybrid Attributes on Property Prices. Real Estate Management and Valuation. 29 (4): 36–52-36–52. doi:10.2478/remav-2021-0028.
9.
Costantino Domenica, Vozza Gabriele, Alfio Vincenzo Saverio, Pepe Massimiliano. (2021). Strategies for 3D Modelling of Buildings from Airborne Laser Scanner and Photogrammetric Data Based on Free-Form and Model-Driven Methods: The Case Study of the Old Town Centre of Bordeaux (France). Applied Sciences. 11 (22): 10993-10993. doi:10.3390/app112210993.
10.
Di Giuda Giuseppe Martino, Meschini Silvia, Gasbarri Paola, Accardo Daniele, Tagliabue Lavinia Chiara, Cacciaguerra Elisa. (2024). BIM, GIS and BI Tools for a university asset management system supporting space management, occupancy evaluation and optimization strategies. Journal of Information Technology in Construction. 29: 1128–1155-1128–1155. doi:10.36680/j.itcon.2024.050.
11.
(2007). Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an Infrastructure for Spatial Information in the European Community (INSPIRE). Published in the official Journal on the 25th April.
12.
Doumbouya Lancine, Gao Guoping, Guan Changsheng. (2016). Adoption of the Building Information Modeling (BIM) for construction project effectiveness: The review of BIM benefits. American Journal of Civil Engineering and Architecture. 4 (3): 74-79. doi:10.12691/ajcea-4-3-1.
13.
Fang Lu, Hayunga Darren K. (2023). The impact of real estate agents’ expertise on house prices and TOM. Real Estate Economics. 52 (1): 45–72-45–72. doi:10.1111/1540-6229.12466.
14.
Gajzler Marcin. (2021). Supporting the technical management of residential buildings in the process of their exploitation. Archives of Civil Engineering. : 437–454-437–454. doi:10.24425/ace.2021.137178.
15.
Gdakowicz Anna, Putek-Szeląg Ewa. (2020). The Use of Statistical Methods for Determining Attribute Weights and the Influence of Attributes on Property Value. Real Estate Management and Valuation. 28 (4): 33–47-33–47.
16.
(2025). Download of Geodetic and Cartographic Data. Main Office of Geodesy and Cartography (GUGIK), www.geoportal.gov.pl.
17.
(2025). Photogrammetric aerial imagery https://www.geoportal.gov.pl/en/data/photogrammetric-aerial-imagery/.
18.
Głuszak Michał, Belniak Stanisław. (2020). The COVID-19 Pandemic and Housing Markets in Selected European Countries: Lessons Learnt and Policy Implications. Zarządzanie Publiczne. (3(53)/2020): 48–59-48–59. doi:10.15678/zp.2020.53.3.04.
19.
Habib Maan, Okayli Maan. (2023). An Overview of Modern Cartographic Trends Aligned with the ICA’s Perspective. Revue Internationale de Géomatique. : 1–16-1–16. doi:10.32604/rig.2023.043399.
20.
Healey P. (1994). Urban Policy and Property Development: The Institutional Relations of Real-Estate Development in an Old Industrial Region. Environment and Planning A: Economy and Space. 26 (2): 177–198-177–198. doi:10.1068/a260177.
21.
Ho Winky K.O., Tang Bo-Sin, Wong Siu Wai. (2020). Predicting property prices with machine learning algorithms. Journal of Property Research. 38 (1): 48–70-48–70. doi:10.1080/09599916.2020.1832558.
22.
Jurkiewicz Magdalena, Hudecová Lubica, Kysel Peter, Klapa Przemysław, Mika Monika, Ślusarski Marek. (2023). A Comparison of Cadastre in Slovakia and Poland. Slovak Journal of Civil Engineering. 31 (1): 1–9-1–9. doi:10.2478/sjce-2023-0001.
23.
Kang Tae-Wook, Park Seung-Hwa, Hong Chang-Hee. (2016). BIM/GIS-based data integration framework for facility management. Proceedings of the GEOProcessing 2016: The Eighth International Conference on Advanced Geographic Information Systems, Applications, and Services.
24.
Khajavi Siavash H., Motlagh Naser Hossein, Jaribion Alireza, Werner Liss C., Holmstrom Jan. (2019). Digital Twin: Vision, Benefits, Boundaries, and Creation for Buildings. IEEE Access. 7: 147406–147419-147406–147419. doi:10.1109/access.2019.2946515.
25.
Klapa Przemysław. (2022). TLS point cloud as a data surce for multi-lod of 3D models. Geomatics, Landmanagement and Landscape. (2). doi:10.15576/gll/2022.2.63.
26.
Klapa Przemysław. (2025). Standardisation in 3D building modelling: Terrestrial and mobile laser scanning level of detail. Advances in Science and Technology Research Journal. 19 (3): 238–251-238–251. doi:10.12913/22998624/199381.
27.
Klapa Przemysław, Gawronek Pelagia. (2022). Synergy of Geospatial Data from TLS and UAV for Heritage Building Information Modeling (HBIM). Remote Sensing. 15 (1): 128-128. doi:10.3390/rs15010128.
28.
Klapa Przemyslaw, Mitka Bartosz, Zygmunt Mariusz. (2017). Application of Integrated Photogrammetric and Terrestrial Laser Scanning Data to Cultural Heritage Surveying. IOP Conference Series: Earth and Environmental Science. 95: 032007-032007. doi:10.1088/1755-1315/95/3/032007.
29.
Kurwi Sahar, Demian Peter, Hassan Tarek. (2017). Integrating BIM and GIS in railway projects: A critical review. 3rd Annual ARCOM Conference, Cambridge, UK, 4-6 September. 45-53.
30.
Li Hong-Nan, Ren Liang, Jia Zi-Guang, Yi Ting-Hua, Li Dong-Sheng. (2016). State-of-the-art in structural health monitoring of large and complex civil infrastructures. Journal of Civil Structural Health Monitoring. 6 (1): 3-16. doi:10.1007/s13349-015-0108-9.
31.
Liu Yu, Zheng Xinqi, Ai Gang, Zhang Yi, Zuo Yuqiang. (2018). Generating a High-Precision True Digital Orthophoto Map Based on UAV Images. ISPRS International Journal of Geo-Information. 7 (9): 333-333. doi:10.3390/ijgi7090333.
32.
Lu Qiuchen, Chen Long, Li Shuai, Pitt Michael. (2020). Semi-automatic geometric digital twinning for existing buildings based on images and CAD drawings. Automation in Construction. 115: 103183-103183. doi:10.1016/j.autcon.2020.103183.
33.
Lu Jiajun. (2018). The value of a south-facing orientation: A hedonic pricing analysis of the Shanghai housing market. Habitat International. 81: 24–32-24–32. doi:10.1016/j.habitatint.2018.09.002.
34.
Ma Zhiliang, Ren Yuan. (2017). Integrated Application of BIM and GIS: An Overview. Procedia Engineering. 196: 1072–1079-1072–1079. doi:10.1016/j.proeng.2017.08.064.
35.
Marmo Rossella, Nicolella Maurizio, Polverino Francesco, Tibaut Andrej. (2019). A Methodology for a Performance Information Model to Support Facility Management. Sustainability. 11 (24): 7007-7007. doi:10.3390/su11247007.
36.
Marmo Rossella, Polverino Francesco, Nicolella Maurizio, Tibaut Andrej. (2020). Building performance and maintenance information model based on IFC schema. Automation in Construction. 118: 103275-103275. doi:10.1016/j.autcon.2020.103275.
37.
Mehendale Ninad, Neoge Srushti. (2020). Review on Lidar Technology. SSRN Electronic Journal. doi:10.2139/ssrn.3604309.
38.
Meschini Silvia, Pellegrini Laura, Locatelli Mirko, Accardo Daniele, Tagliabue Lavinia Chiara, Di Giuda Giuseppe Martino, Avena Marco. (2022). Toward cognitive digital twins using a BIM-GIS asset management system for a diffused university. Frontiers in Built Environment. 8. doi:10.3389/fbuil.2022.959475.
39.
Mishra Mayank, Lourenço Paulo B., Ramana G.V. (2022). Structural health monitoring of civil engineering structures by using the internet of things: A review. Journal of Building Engineering. 48: 103954-103954. doi:10.1016/j.jobe.2021.103954.
40.
Moretti Nicola, Ellul Claire, Re Cecconi Fulvio, Papapesios Nikolaos, Dejaco Mario Claudio. (2021). GeoBIM for built environment condition assessment supporting asset management decision making. Automation in Construction. 130: 103859-103859. doi:10.1016/j.autcon.2021.103859.
41.
Olaussen Jon Olaf, Oust Are, Solstad Jan Tore. (2021). Real Estate Price Formation: Energy Performance Certificates and the Role of Real Estate Agents. Journal of Sustainable Real Estate. 13 (1): 1–11-1–11. doi:10.1080/19498276.2021.2006875.
42.
Panah Reihane Shafie, Kioumarsi Mahdi. (2021). Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review. Sensors. 21 (3): 837-837. doi:10.3390/s21030837.
43.
Peng Liang, Zhang Lei. (2019). House Prices and Systematic Risk: Evidence from Microdata. Real Estate Economics. 49 (4): 1069–1092-1069–1092. doi:10.1111/1540-6229.12277.
44.
Pepe Massimiliano, Costantino Domenica, Alfio Vincenzo Saverio, Restuccia Alfredo Garofalo, Papalino Nicola Massimiliano. (2021). Scan to BIM for the digital management and representation in 3D GIS environment of cultural heritage site. Journal of Cultural Heritage. 50: 115–125-115–125. doi:10.1016/j.culher.2021.05.006.
45.
Pepe M., Costantino D., Crocetto N., Restuccia Garofalo A. (2019). 3D modeling of Roman Bridge by the integration of terrestrial and UAV photogrammetric survey for structural analysis purpose. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLII-2/W17: 249–255-249–255. doi:10.5194/isprs-archives-xlii-2-w17-249-2019.
46.
Pärn E.A., Edwards D.J., Sing M.C.P. (2017). The building information modelling trajectory in facilities management: A review. Automation in Construction. 75: 45–55-45–55. doi:10.1016/j.autcon.2016.12.003.
47.
(2020). Regulation of 18 August 2020 on the technical standards for performing horizontal and vertical geodetic surveys and for processing and submitting the results of these surveys to the National Geodetic and Cartographic Resources. Act. Journal of Laws, 2020, item 1429, Poland.
48.
(2021). Regulation of 23 July 2021 on the Topographic Objects Database and the base map. Act. Journal of Laws, 2021, item 1385, Poland.
49.
Remondino Fabio. (2011). Heritage Recording and 3D Modeling with Photogrammetry and 3D Scanning. Remote Sensing. 3 (6): 1104–1138-1104–1138. doi:10.3390/rs3061104.
50.
Ryzhakova Galyna, Malykhina Oksana, Pokolenko Vadym, Rubtsova Oksana, Homenko Oleks, r, Nesterenko Iryna, Honcharenko Tetyana. (2022). Construction Project Management with Digital Twin Information System. International Journal of Emerging Technology and Advanced Engineering. 12 (10): 19–28-19–28. doi:10.46338/ijetae1022ES_DASH03.
51.
Scuro C., Lamonaca F., Porzio S., Milani G., Olivito R.S. (2021). Internet of Things (IoT) for masonry structural health monitoring (SHM): Overview and examples of innovative systems. Construction and Building Materials. 290: 123092-123092. doi:10.1016/j.conbuildmat.2021.123092.
52.
Serrano-Jiménez Antonio, Lima Maria Luísa, Molina-Huelva Marta, Barrios-Padura Angela. (2019). Promoting urban regeneration and aging in place: APRAM – An interdisciplinary method to support decision-making in building renovation. Sustainable Cities and Society. 47: 101505-101505. doi:10.1016/j.scs.2019.101505.
53.
Siejka Monika. (2017). The role of Spatial Information Systems in decision-making processes regarding investment site selection. Real Estate Management and Valuation. 25 (3): 62–72-62–72. doi:10.1515/remav-2017-0023.
54.
Siejka M. (2015). Optimal selection of investment location in land management. Infrastruct. Ecol. Rural Areas. 4 (2): 1111-1241.
55.
Ślusarski Marek, Jurkiewicz Magdalena. (2019). Visualisation of Spatial Data Uncertainty. A Case Study of a Database of Topographic Objects. ISPRS International Journal of Geo-Information. 9 (1): 16-16. doi:10.3390/ijgi9010016.
56.
Stojanovic Vladeta, Trapp Matthias, Richter Rico, Hagedorn Benjamin, Döllner Jürgen. (2018). Towards the generation of digital twins for facility management based on 3D point clouds. Proceeding of the 34th Annual ARCOM Conference, 3--5 September 2018, Belfast, UK. 270-279.
57.
Suveg Ildiko, Vosselman George. (2004). Reconstruction of 3D building models from aerial images and maps. ISPRS Journal of Photogrammetry and Remote Sensing. 58 (3–4): 202–224-202–224. doi:10.1016/j.isprsjprs.2003.09.006.
58.
Trembecka Anna, Droj Gabriela, Kwartnik-Pruc Anita. (2023). Management of Municipal Housing Resources By Local Authorities in the Municipalities of Krakow (Poland) and Oradea (Romania) – A Comparative Study. Real Estate Management and Valuation. 31 (4): 23–35-23–35. doi:10.2478/remav-2023-0027.
59.
Wang Hao, Pan Yisha, Luo Xiaochun. (2019). Integration of BIM and GIS in sustainable built environment: A review and bibliometric analysis. Automation in Construction. 103: 41–52-41–52. doi:10.1016/j.autcon.2019.03.005.
60.
Zavadskas Edmundas Kazimieras, Turskis Zenonas, Vilutienė Tatjana, Lepkova Natalija. (2017). Integrated group fuzzy multi-criteria model: Case of facilities management strategy selection. Expert Systems with Applications. 82: 317–331-317–331. doi:10.1016/j.eswa.2017.03.072.
61.
Zhao Xue, Tan Yongtao, Shen Liyin, Zhang Guomin, Wang Jinhuan. (2019). Case-based reasoning approach for supporting building green retrofit decisions. Building and Environment. 160: 106210-106210. doi:10.1016/j.buildenv.2019.106210.
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