Building Information Modelling (BIM) and Smart Cities: The Role of Governance, Regulations and Policies

  • Conference paper
  • First Online:
Advances in Building Information Modeling (EBF 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1627))

Included in the following conference series:

  • 557 Accesses

Abstract

Existing literature focuses mainly on the benefits of SCs, particularly the impact of technology, however, efforts to explore the current challenges in implementing technology in SCs have been limited. The purpose of this research is to investigate the benefits and challenges of BIM in the development of SCs and to examine the role of governance, regulations, and policies in SCs; determining if the extant initiatives are sufficient or not. A sequential explanatory mixed-methods design approach was employed. Data has been gathered from 54 questionnaires, followed by semi-structured interviews to gain additional qualitative data. The main quantitative and qualitative findings show that data privacy and security are the biggest technological challenges in SC development and that further regulation and legislation is required to protect citizens against privacy threats. The results of this work can be useful to professionals and policy makers working on SCs as well as researchers to better understand the current gaps.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 42.79
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 53.49
Price includes VAT (Germany)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Ahvenniemi, H., et al.: What are the differences between sustainable and smart cities? Cities 60, 234–245 (2017)

    Article  Google Scholar 

  2. Caragliu, A., et al.: Smart cities in Europe. J. Urban Technol. 18:2, 65–82 (2011)

    Google Scholar 

  3. Chourabi, H., et al.: Understanding smart cities: an integrative framework. In: 45th Hawaii International Conference on System Sciences, pp. 2289–2297 (2012)

    Google Scholar 

  4. Diaz-Sarachaga, J., et al.: Is the Sustainable Development Goals (SDG) index an adequate framework to measure the progress of the 2030 Agenda? Sustain. Dev. 26(6), 663–671 (2018)

    Article  Google Scholar 

  5. Angelidou, M., et al.: Enhancing sustainable urban development through smart city applications. J. Sci. Technol. Policy Manage. 9(2), 146–169 (2018)

    Article  Google Scholar 

  6. Radu, L.: Disruptive technologies in smart cities: a survey on current trends and challenges. Smart Cities 3(3), 1022–1038 (2020)

    Article  Google Scholar 

  7. OECD: Smart Cities and Inclusive Growth (2020). https://www.oecd.org/cfe/ciies/OECD_Policy_Paper_Smart_Cities_and_Inclusive_Growth.pdf. Accessed 3 Apr 2021

  8. McKinsey and Company: Smart cities: Digital solutions for a more liveable future (2018). https://www.mckinsey.com/~/media/mckinsey/business%20functions/operations/our%20insights/smart%20cities%20digital%solutions%20for%20a%20more%20livable%future/mgi-smart-cities-full-report.pdf. Accessed 4 Apr 2021

  9. De Guimarães, J., et al.: Governance and quality of life in smart cities: towards sustainable development goals. J. Clean. Prod. 253, 119926 (2020)

    Article  Google Scholar 

  10. Eastman, C., et al.: BIM Handbook: A Guide to Building Information Modelling for Owner, Managers, Designers, Engineers, and Contractors. John Wiley and Sons, Inc., New Jersey (2008)

    Book  Google Scholar 

  11. Janecka, K.: Standardization supporting future smart cities – a case of BIM/GIS and 3D cadastre. GeoScape 13, 106–113 (2019)

    Article  Google Scholar 

  12. Ayalina, L., et al.: Towards a hybrid approach to BIM implementation – a critical discourse. In: Proceedings of the CIB International Conference on Smart Built Environment, ICSBE 2021 (2021)

    Google Scholar 

  13. Kylili, A., Fokaides, P.: European smart cities: the role of zero energy buildings. Sustain. Cities Soc. 15, 86–95 (2015)

    Article  Google Scholar 

  14. Djahel, S., et al.: A communications-oriented perspective on traffic management systems for smart cities: challenges and innovative approaches. IEEE Commun. Surv. Tutor. 17(1), 125–151 (2015)

    Article  Google Scholar 

  15. Kök, M.U., et al.: A deep learning model for air quality prediction in smart cities. In: IEEE International Conference on Big Data (Big Data), pp. 1983–1990 (2017)

    Google Scholar 

  16. Goodall, W., Dovey Fishman, T., Bornstein, J., Bonthron, B.: The rise of mobility as a Service. Deloitte Review (2017). https://www2.deloitte.com/content/dam/Deloitte/nl/Documents/consumer-business/deloitte-nl-cb-ths-rise-of-mobility-as-a-service.pdf. Accessed 10 Apr 2021

  17. Yigitcanlar, T., Kamruzzaman, M.: Smart cities and mobility: does the smartness of australian cities lead to sustainable commuting patterns? J. Urban Technol. 26(2), 21–46 (2018)

    Article  Google Scholar 

  18. Hillenbrand, K.: Predicting fire risk: from New Orleans to a nationwide tool (2016). https://datasmart.ash.harvard.edu/news/article/predicting-fire-risk-from-new-orleans-to-a-nationwide-tool-846. Accessed 3 Apr 2021

  19. Schwartz, A.: Smart cities,’ surveillance, and new streetlights in San Jose (2017). https://www.eff.org/deeplinks/2017/02/smart-cities-surveillance-and-new-streetlights-san-jose. Accessed 28 March 2021

  20. Rehena, Z., et al.: A reference architecture for context-aware intelligent traffic management platforms. Int. J. Electron. Govern. Res. 14(4), 65–79 (2018)

    Article  Google Scholar 

  21. Jain, A., Ranjan, S.: Implications of emerging technologies on the future of work. IIMB Manag. Rev. 32(4), 448–454 (2020)

    Article  Google Scholar 

  22. Sadeh, A., Feniser, C., Ionela Dusa, S.: Technology education and learning in smart cities. In: Soares, F., Lopes, A., Brown, K., Uukkivi, A. (eds.) Develo** Technology Mediation in Learning Environments. Information Science Reference (2019)

    Google Scholar 

  23. Gray, J., Rumpe, B.: Models for digitalization. Softw. Syst. Model. 14(4), 1319–1320 (2015). https://doi.org/10.1007/s10270-015-0494-9

    Article  Google Scholar 

  24. Curzon, J., et al.: A survey of privacy enhancing technologies for smart cities. Pervasive Mob. Comput. 55, 76–95 (2019)

    Article  Google Scholar 

  25. Kumar, H., et al.: Moving towards smart cities: solutions that lead to the smart city transformation framework. Technol. Forecast. Soc. Change 153, 119281 (2020)

    Google Scholar 

  26. Sengan, S., et al.: Enhancing cyber–physical systems with hybrid smart city cyber security architecture for secure public data-smart network. Futur. Gener. Comput. Syst. 112, 724–737 (2020)

    Article  Google Scholar 

  27. Jameel, T., et al.: security in modern smart cities: an information technology perspective. In: Computer Science, 2nd International Conference on Communication, Computing and Digital systems, pp. 293–298 (2019)

    Google Scholar 

  28. Varfolomeev, A., et al.: Overview of five techniques used for security and privacy insurance in smart cities. J. Phys: Conf. Ser. 1897, 012028 (2021)

    Google Scholar 

  29. Rachmawati, R.: Towards better city management through smart city implementation. Hum. Geograph. J. Stud. Res. Hum. Geograph. 13(2) (2019)

    Google Scholar 

  30. Appio, F., et al.: Understanding Smart Cities: innovation ecosystems, technological advancements, and societal challenges. Technol. Forecast. Soc. Chang. 142, 1–14 (2019)

    Article  Google Scholar 

  31. Timeus, K., et al.: Creating business models for smart cities: a practical framework. Public Manag. Rev. 22(5), 726–745 (2020)

    Article  Google Scholar 

  32. Nalchigar, S., Fox, M.: Achieving interoperability of smart city data: an analysis of 311 data. J. Smart Cities 3(1) (2017)

    Google Scholar 

  33. Caragliu, A., Del Bo, C.: The economics of smart city policies. Scienze Regionali Italian J. Region. Sci. 81–104 (2019)

    Google Scholar 

  34. Caragliu, A., Del Bo, C.: Smart innovative cities: The impact of Smart City policies on urban innovation. Technol. Forecast. Soc. Chang. 142, 373–383 (2019)

    Article  Google Scholar 

  35. Steel, J., et al.: Model interoperability in building information modelling. Softw Syst Model 11, 99–109 (2012)

    Article  Google Scholar 

  36. Oldfield, J., et al.: Can data from BIMs by used as input for a 3D cadastre?. 5th International FIG 3D Cadastre Workshop, Athens (2016)

    Google Scholar 

  37. Shutkin, V., et al.: City and building information modelling using IFC standard. In: Semenov, V., Scherer, R. (ed.) ECPPM 2021 – eWork and eBusiness in Architecture, Engineering and Construction, 1st edn. CRC Press, Moscow (2021)

    Google Scholar 

  38. Wadhwa, M.: Understanding the impact of Smart Cities and the need for smart regulations. SSRN Electron. J. (2015)

    Google Scholar 

  39. Moses, L.: How to think about law, regulation and technology: problems with ‘technology’ as a regulatory target. Law Innov. Technol. 5(1), 1–20 (2013)

    Article  Google Scholar 

  40. Schicklinski, J.: Socio-ecological transitions in the green spaces resource system. In: Sauer, T., Garzillo, T.C., Elsen, S. (eds.) Cities in Transition Social Innovation for Europe’s Urban Sustainability. Routledge (2016)

    Google Scholar 

  41. Rodríguez Bolívar, M.P.: Smart cities: big cities, complex governance? In: Rodríguez-Bolívar, M.P. (ed.) Transforming city governments for successful smart cities. PAIT, vol. 8, pp. 1–7. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-03167-5_1

    Chapter  Google Scholar 

  42. Bertot, C., Jaeger, P.T., Grimes, J.M.: Promoting transparency and accountability through ICTs, social media, and collaborative e-government. Transf. Govern. People Process Policy 6, 78–91 (2012)

    Google Scholar 

  43. Clemen, C.: Trends in BIM and GISStandardization – Report from the Jointiso/TC59/SC13–ISC/TC211 Wg: GIS/BIM. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVI-5/W1-2022, pp. 51–58 (2022)

    Google Scholar 

  44. Meijer, A.J., Gil-Garcia, J.R., Bolívar, M.P.R.: Smart city research: contextual conditions, governance models, and public value assessment. Soc. Sci. Comput. Rev. 34(6), 647–656 (2016)

    Article  Google Scholar 

  45. Stake, R.: Qualitative research: Studying How Things Work. Guildford Press (2010)

    Google Scholar 

  46. Creswell, J.: Research Design: Qualitative, Quantitative and Mixed Methods Approaches. 4th edn. International Student. SAGE, Los Angeles; London (2014)

    Google Scholar 

  47. Cronholm, S., Hjalmarsson, A.: Experiences from sequential use of mixed methods. Electron. J. Bus. Res. Meth. 9(2), 87–95 (2011)

    Google Scholar 

  48. Fallon, K., Palmer, M.: General Buildings Information Handover Guide: Principles, Methodology and Case Studies. National Institute of Standards and Technology, NISTIR 7417, pp. 99 (2007)

    Google Scholar 

  49. Santos, E.: Building information modeling and interoperability. In: SIGraDi 2009 - Proceedings of the 13th Congress of the Iberoamerican Society of Digital Graphics, Sao Paulo, Brazil (2010)

    Google Scholar 

  50. Pal, A., Hsieh, S.H.: A trend review on BIM applications for Smart Cities. In: Semenov, V., Scherer, R. (ed.) ECPPM 2021 – eWork and eBusiness in Architecture, Engineering and Construction, 1st edn. Moscow: CRC Press (2021)

    Google Scholar 

  51. Correa, F.: Is BIM Big Enough to Take Advantage of Big Data Analytics? (2015). https://doi.org/10.22260/ISARC2015/0019

  52. Hawkins, R., et al.: Standards, Innovation and Competitiveness: The Politics and Economics of Standards in Natural and Technical Environments. Edward Elgar, Northampton, MA (1995)

    Google Scholar 

  53. Hogan, et al.: Using standards to enable the transformation to smarter cities. IBM J. Res. Develop. 55(1.2), 4:1–4:10 (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Azmina Gulamhusein .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gulamhusein, A., Bolpagni, M. (2022). Building Information Modelling (BIM) and Smart Cities: The Role of Governance, Regulations and Policies. In: Özener, O.Ö., Ofluoglu, S., Isikdag, U. (eds) Advances in Building Information Modeling. EBF 2021. Communications in Computer and Information Science, vol 1627. Springer, Cham. https://doi.org/10.1007/978-3-031-16895-6_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-16895-6_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16894-9

  • Online ISBN: 978-3-031-16895-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Navigation