Volume 12, Issue 2 (2022)
Naqshejahan 2022, 12(2): 46-73 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Khaleghi F, Alizadeh S, Azizi M. Integration of Building Information Modeling (BIM) and Geographic Information System (GIS) to Develop a Smart City. Naqshejahan 2022; 12 (2) :46-73
URL: http://bsnt.modares.ac.ir/article-2-57444-en.html
URL: http://bsnt.modares.ac.ir/article-2-57444-en.html
1- M.Sc. of Project Management, Tarbiat Modares University, Tehran, Iran
2- Assistant Professor, Department of Project Management, Tarbiat Modares University, Tehran, Iran ,azizi.pm@modares.ac.ir
2- Assistant Professor, Department of Project Management, Tarbiat Modares University, Tehran, Iran ,
Abstract: (4697 Views)
Aims: To counteract urban population growth, research centers have devised city development strategies as well as the concept of intelligent cities. The present study aims to examine how building information modeling (BIM) and geographical information system (GIS) can be integrated to establish principles that govern intelligent cities and enhance their efficiency. It also delineates the potential advantages of BIM and GIS integration for future developments in various other areas.
Methodology: Taking advantage of a meta-synthesis methodology, this study has researched the concepts of BIM and GIS in Farsi and English databases, identifying knowledge gaps in previous studies, while examining their integration for the purposes of this project.
Findings: Considering the distinct qualities of BIM and GIS, it is essential to integrate the two models in a three-dimensional environment, as their effective synergy must be supported by a viable platform. Our findings confirm that by undertaking CIM models, city managers and the construction sector can significantly enhance intelligent cities. Furthermore, to improve productivity and achieve sustainable management, BIM and GIS data should be used at different levels of semantic models.
Conclusion: Managerial issues concerning vertical construction cannot be resolved by using two-dimensional data available on maps. The integration of BIM and GIS can, however, effectively solve managerial problems in infrastructure development projects – both horizontal and vertical. The integration of these two models provides sustainable support for an intelligent city in that both models have distinctive capabilities for data unification, quantitative analysis, technology applications, and city management.
Methodology: Taking advantage of a meta-synthesis methodology, this study has researched the concepts of BIM and GIS in Farsi and English databases, identifying knowledge gaps in previous studies, while examining their integration for the purposes of this project.
Findings: Considering the distinct qualities of BIM and GIS, it is essential to integrate the two models in a three-dimensional environment, as their effective synergy must be supported by a viable platform. Our findings confirm that by undertaking CIM models, city managers and the construction sector can significantly enhance intelligent cities. Furthermore, to improve productivity and achieve sustainable management, BIM and GIS data should be used at different levels of semantic models.
Conclusion: Managerial issues concerning vertical construction cannot be resolved by using two-dimensional data available on maps. The integration of BIM and GIS can, however, effectively solve managerial problems in infrastructure development projects – both horizontal and vertical. The integration of these two models provides sustainable support for an intelligent city in that both models have distinctive capabilities for data unification, quantitative analysis, technology applications, and city management.
Keywords: Intelligent City, Building Information Modeling (BIM), Geographical Information System (GIS), Sustainability, New Technologies
Article Type: Systematic Review |
Subject:
Hightech in landscape design
Received: 2021/11/27 | Accepted: 2022/02/19 | Published: 2022/06/22
Received: 2021/11/27 | Accepted: 2022/02/19 | Published: 2022/06/22
References
1. Marzouk M, Othman A. Planning utility infrastructure requirements for smart cities using the integration between BIM and GIS. Sustainable Cities and Society. 2020 Jun 1;57:102120. https://doi.org/10.1016/j.scs.2020.102120 [Article] [DOI]
2. Ma Z, Ren Y. Integrated application of BIM and GIS: an overview. Procedia Engineering. 2017 Jan 1;196:1072-9. https://doi.org/10.1016/j.proeng.2017.08.064 [Article] [DOI]
3. Maarefi A, TaghiZadeh K, Bayzidi Q, Hossainpour S. Improving Performance and Creativity of Students Focusing on BIM; Case Study Building Technical Design Course. Naqshejahan - Basic studies and New Technologies of Architecture and Planning. 2021 Nov 10;11(3):93-108. [Persian] https://dorl.net/dor/20.1001.1.23224991.1400.11.3.3.0 [Article] [DOI]
4. Zandieh M, Mahmoodzadeh Kani I, Hessari P. Building Information Modeling (BIM); a model for improving the design process. Naqshejahan - Basic studies and New Technologies of Architecture and Planning. 2017 Jul 10;7(2):71-78. [Persian] https://dorl.net/dor/20.1001.1.23224991.1396.7.2.7.4 [Article] [DOI]
5. Bastan, M., Zarei, M., Ahmadvand, A. Building Information Modeling Adoption Model in Iran. Journal of Industrial Management Perspective, 2020; 10(Issue 1, Spring 2020): 9-39. https://dx.doi.org/10.52547/jimp.10.1.9 [Article] [DOI]
6. Mahdavinejad M, Hosseini SA. Data mining and content analysis of the jury citations of the Pritzker Architecture prize (1977–2017). Journal of Architecture and Urbanism. 2019 Feb 1;43(1):71-90. https://doi.org/10.3846/jau.2019.5209 [Article] [DOI]
7. Torabi M, Mahdavinejad M. Past and Future Trends on the Effects of Occupant Behaviour on Building Energy Consumption. J. Sustain. Archit. Civ. Eng. 2021 Oct 27;29(2) 83-101. https://doi.org/10.5755/j01.sace.29.2.28576 [Article] [DOI]
8. Mardomi K, Soheilifard M, Aghaazizi M. Integration of Architecture & Structure in Optimizing Supports’ Location Using Genetic Algorithm Method; Case Study: Cladding based on Iranian Girih. Naqshejahan - Basic Studies and New Technologies of Architecture and Planning. 2015 Jun 10;5(2):65-75. [Persian] https://dorl.net/dor/20.1001.1.23224991.1394.5.2.3.6 [Article] [DOI]
9. Fallahtafti R, Mahdavinejad M. Window geometry impact on a room's wind comfort. Engineering, Construction and Architectural Management. 2021 Mar 24;28(9):2381-2410. https://doi.org/10.1108/ECAM-01-2020-0075 [Article] [DOI]
10. Latifi M, Diba D. Data Mining of the Spatial Structure of Qajar Native Housing; Case Study: Jangjouyan House of Isfahan. Naqshejahan - Basic Studies and New Technologies of Architecture and Planning. 2020 Oct 10;10(3):163-71. [Persian] https://dorl.net/dor/20.1001.1.23224991.1399.10.3.7.7 [Article] [DOI]
11. Rahbar M, Mahdavinejad M, Bemanian M, Davaie Markazi AH, Hovestadt L. Generating Synthetic Space Allocation Probability Layouts Based on Trained Conditional-GANs. Applied Artificial Intelligence. 2019 Jul 3;33(8):689-705. https://doi.org/10.1080/08839514.2019.1592919 [Article] [DOI]
12. Rahbar M, Mahdavinejad M, Markazi A.H.D., Bemanian M. Architectural layout design through deep learning and agent-based modeling: A hybrid approach. Journal of Building Engineering. 2022 April15; 47, 103822. https://doi.org/10.1016/j.jobe.2021.103822 [Article] [DOI]
13. Valitabar M. Mohammadjavad M. Henry S. Peiman P. A dynamic vertical shading optimisation to improve view, visual comfort and operational energy. Open House International. 2021 Jul 9;46(3):401-415. https://doi.org/10.1108/OHI-02-2021-0031 [Article] [DOI]
14. Shahhosseini G, Moulaii M. Explaining the Role and Place of Industrial Heritage in Improving the Quality Characteristics of the Hierarchy of the City Entrances (Case study: Brick Furnaces in the Entrance of Hamedan). Naqshejahan - Basic Studies and New Technologies of Architecture and Planning. 2019 Mar 10;9(1):13-22. [Persian] https://dorl.net/dor/20.1001.1.23224991.1398.9.1.3.2 [Article] [DOI]
15. Cross N, Christiaans H, Dorst K. Design expertise amongst student designers. Journal of Art & Design Education, 1994; 13(1): 39-56. https://doi.org/10.1111/j.1476-8070.1994.tb00356.x [Article] [DOI]
16. Cross N. Designerly ways of knowing. Design studies, 1982; 3(4): 221-7. https://doi.org/10.1016/0142-694X(82)90040-0 [Article] [DOI]
17. Cross N. Designerly ways of knowing: Design discipline versus design science. Design issues. 2001 Jul 1;17(3):49-55. https://www.jstor.org/stable/1511801 [Article] [DOI]
18. Oxman R. Educating the designerly thinker. Design studies. 1999 Mar 1;20(2):105-22. https://doi.org/10.1016/S0142-694X(98)00029-5 [Article] [DOI]
19. Moulaii M, Shahhoseini G, Dabaghchi S. Explaining and analyzing how to make smart cities in the context of the influencing components and key factors. Naqshejahan - Basic studies and New Technologies of Architecture and Planning. 2016 Nov 10;6(3):75-93. [Persian] https://dorl.net/dor/20.1001.1.23224991.1396.7.3.3.2 [Article] [DOI]
20. Mahmoudi M, Nivi S. Improving of Climatic Technology According to Sustainable Development. Naqshejahan - Basic studies and New Technologies of Architecture and Planning. 2011 Oct 10;1(1):35-52. [Persian] https://dorl.net/dor/20.1001.1.23224991.1390.1.1.7.0 [Article] [DOI]
21. Shahhosseini, V., Sebt, M., Hajarolasvadi, H. Integrated Project Delivery Using Building Information Modeling. Sharif Journal of Civil Engineering. 2017 May 22; 33.2(1.1): 129-135. doi: 10.24200/j30.2017.2454 [Article] [DOI]
22. Shafaghat, E., Taghaddos, H., Sherafat, B. INVESTIGATING THE PRECISION OF QUANTITY TAKE-OFF IN BIM APPLICATIONS. Sharif Journal of Civil Engineering, 2019; 34.2(4.1): 145-152. doi: 10.24200/j30.2019.1437 [Article] [DOI]
23. Rosati U, Conti S. What is a smart city project? An urban model or a corporate business plan?. Procedia-Social and Behavioral Sciences. 2016 Jun 10;223:968-73. Rosati U, Conti S. What is a smart city project? An urban model or a corporate business plan?. Procedia-Social and Behavioral Sciences. 2016 Jun 10;223:968-73. https://doi.org/10.1016/j.sbspro.2016.05.332 [Article] [DOI]
24. Letaifa SB. How to strategize smart cities: Revealing the SMART model. Journal of business research. 2015 Jul 1;68(7):1414-9. https://doi.org/10.1016/j.jbusres.2015.01.024 [Article] [DOI]
25. Joshi S, Saxena S, Godbole T. Developing smart cities: An integrated framework. Procedia Computer Science. 2016 Jan 1;93:902-9. https://doi.org/10.1016/j.procs.2016.07.258 [Article] [DOI]
26. Lafioune N, St-Jacques M. Towards the creation of a searchable 3D smart city model. Innovation & Management Review. 2020 May 14. https://doi.org/10.1108/INMR-03-2019-0033 [Article] [DOI]
27. Ardito L, Ferraris A, Petruzzelli AM, Bresciani S, Del Giudice M. The role of universities in the knowledge management of smart city projects. Technological Forecasting and Social Change. 2019 May 1;142:312-21. https://doi.org/10.1016/j.techfore.2018.07.030 [Article] [DOI]
28. El-Hallaq MA. Enhancing sustainable development through web based 3D smart city model using GIS and BIM. Case study: Sheikh hamad city. Journal of Geographic Information System. 2019;11(03):321. https://doi.org/10.4236/cus.2019.71006 [Article] [DOI]
29. Bradley A, Li H, Lark R, Dunn S. BIM for infrastructure: An overall review and constructor perspective. Automation in Construction. 2016 Nov 1;71:139-52. https://doi.org/10.1016/j.autcon.2016.08.019 [Article] [DOI]
30. Wang H, editor Sensing information modelling for smart city. 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity); 2015: IEEE. https://doi.org/10.1109/SmartCity.2015.44
31. Kim JI, Kim J, Fischer M, Orr R. BIM-based decision-support method for master planning of sustainable large-scale developments. Automation in Construction. 2015;58:95-108. https://doi.org/10.1016/j.autcon.2015.07.003 [Article] [DOI]
32. Song Y, Wang X, Tan Y, Wu P, Sutrisna M, Cheng JC, et al. Trends and opportunities of BIM-GIS integration in the architecture, engineering and construction industry: a review from a spatio-temporal statistical perspective. ISPRS International Journal of Geo-Information. 2017;6(12):397. https://doi.org/10.3390/ijgi6120397 [Article] [DOI]
33. Nedovic-Budic Z. Evaluating the effects of GIS technology: Review of methods. Journal of planning literature. 1999;13(3):284-95. https://doi.org/10.1177/08854129922092405 [Article] [DOI]
34. Dias ÁJ, de Oliveira JPL. CIM in the context of smart cities: how the interoperability between BIM and SIG can assist the development of smart cities. Revista Nacional de Gerenciamento de Cidades. 2021;9(70). https://doi.org/10.17271/2318847297020212811 [Article] [DOI]
35. Osello A, Rapetti N, Semeraro F, editors. BIM methodology approach to infrastructure design: Case study of Paniga tunnel. IOP Conference Series: Materials Science and Engineering. 2017: IOP Publishing. https://doi.org/10.1088/1757-899X/245/6/062052 [Article] [DOI]
36. Deng Y, Cheng JC, Anumba C. Mapping between BIM and 3D GIS in different levels of detail using schema mediation and instance comparison. Automation in Construction. 2016;67:1-21. https://doi.org/10.1016/j.autcon.2016.03.006
37. Kang TW, Hong CH. A study on software architecture for effective BIM/GIS-based facility management data integration. Automation in construction. 2015;54:25-38. https://doi.org/10.1016/j.autcon.2015.03.019 [Article] [DOI]
38. Kang TW, Hong CH. IFC-CityGML LOD mapping automation using multiprocessing-based screen-buffer scanning including mapping rule. KSCE Journal of Civil Engineering. 2018;22(2):373-83. https://doi.org/10.1007/s12205-017-0595-9
39. Donkers S, Ledoux H, Zhao J, Stoter J. Automatic conversion of IFC datasets to geometrically and semantically correct CityGML LOD3 buildings. Transactions in GIS. 2016;20(4):547-69. https://doi.org/10.1111/tgis.12162 [Article] [DOI]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |