Skip to main content
SpringerLink
Log in

A Conceptual Framework for the Alignment of Infrastructure Assets to Citizen Requirements in Smart Cities

  • Chapter
  • First Online:
Value Based and Intelligent Asset Management

Abstract

With the predicted world population growth of 83 million people per year (increasing 1.09% year on year) compounded with a strong trend for migration to urban centres, there is a developing interest by academics, industry and government to the digitalisation of the built environment and its potential impact on private enterprises, public services and the broader context of society. Governments around the world are aiming to guide and standardise this process by developing an array of standards to support this digitalisation, most notably on Building Information Modelling (BIM) and Smart Cities. Furthermore, the advancement of the Internet of Things (IoT) is creating a highly flexible, dynamic and accessible platform for the exchange capture and of information. There is a risk that this information on the built environment is quickly becoming unmanageable, and the value of that information is quickly becoming lost. This chapter presents a smart asset alignment framework that creates an alignment between the information captured at the infrastructure asset level and citizen requirements within a Smart City. The framework contributes to the debate on designing and developing Smart City solutions in a way that will deliver value to the citizens.

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

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Standard that have a measurable performance rating.

References

  1. Vinten-Johansen, M. R. P., Brody, H., Paneth, N., Rachman, S. (2003). Cholera, chloroform, and the science of medicine: A life of John Snow Oxford University Press.

    Google Scholar 

  2. Booth, C. (1969). Life and labour of the people in London. Macmillan.

    Google Scholar 

  3. Los Angeles Community Analysis Bureau. (1974). State of the City II: A cluster analysis of Los Angeles. City of Los Angeles.

    Google Scholar 

  4. Housing Authority of the City of Los Angeles. (1944). A decent home: An American Right, 5th, 6th and 7th Consolidated Report. Housing Authority of the City of Los Angeles.

    Google Scholar 

  5. Vallianatos, M. (2015). Uncovering the Early History of ‘big data’and ‘Smart city’in Los Angeles. Boom California. [Online]. Available: https://goo.gl/Hyjjnp. Accessed February 11, 2018.

  6. Graham, S., & Aurigi, A. (1997). Urbanising cyberspace? City, 2(7), 18–39.

    Article  Google Scholar 

  7. van den Besselaar, P. (2005). The life and death of the great Amsterdam Digital City. Digit. Cities III. Information Technologies for Social Capital: Cross-cultural Perspectives, 3081, 66–96.

    Google Scholar 

  8. Anthopoulos, L. G. (2017). Understanding Smart Cities: A tool for Smart Government or an Industrial Trick? Public Administration and Information Technology, 22, 5–45.

    Article  Google Scholar 

  9. UN-Habitat. (2016). World cities report 2016: Urbanization and development–emerging futures. No. 8.

    Google Scholar 

  10. Hassell, J. (1974). The planning of St. Petersburg. The Historian, 36(2), 248–263.

    Article  Google Scholar 

  11. Howard, D. (2002). The architectural history of Venice.

    Google Scholar 

  12. Lindsay, B. E., Friedmann, J., & Weaver, C. (1981). Territory and function: The evolution of regional planning. 63(3).

    Google Scholar 

  13. BSI. (2014). The role of standards in smart cities. 2(2) 1–19.

    Google Scholar 

  14. ITU. (2016). Key performance indicators related to the sustainability impacts of information and communication technology in smart sustainable cities. Switzerland.

    Google Scholar 

  15. ITU. (2016). Key performance indicators for smart Internet of things and smart cities and communities. Switzerland.

    Google Scholar 

  16. ITU. (2016). Key performance indicators related to the use of information and communication technology in smart sustainable cities. Switzerland.

    Google Scholar 

  17. ISO. (2015). ISO 17752—Energy efficiency and savings calculation for countries, regions and cities.

    Google Scholar 

  18. ISO. (2012). ISO 39001—Road traffic safety (RTS) management systems—requirements with guidance for use.

    Google Scholar 

  19. ISO. (2007). ISO 24510—Activities relating to drinking water and wastewater services—guidelines for the management of drinking water utilities and for the assessment of drinking water services (Vol. 3).

    Google Scholar 

  20. ISO. (2016). ISO/TR 37152—Smart community infrastructures—Common framework for development and operation.

    Google Scholar 

  21. ISO. (2014). ISO 22313—Societal security—business continuity management systems—requirements.

    Google Scholar 

  22. ISO (2016). PD ISO IWA 18 : Framework for integrated health and care services in aged societies.

    Google Scholar 

  23. ISO. (2014). ISO/IEC 30182—Smart city concept model—guide to establishing a model for data interoperability (pp. 1–56).

    Google Scholar 

  24. ISO. (2017). ISO and smart cities. Switzerland.

    Google Scholar 

  25. British Standards Institute. (2014). PAS 180:2014 smart cities—vocabulary. London: United Kingdom.

    Google Scholar 

  26. British Standards Institute. (2014). PAS 181:2014 smart city framework—guide to establishing strategies for smart cities and communities. London: United Kingdom.

    Google Scholar 

  27. British Standards Institute. (2014). PAS 182:2014 smart city concept model—guide to establishing a model for data interoperability. London: United Kingdom.

    Google Scholar 

  28. British Standards Institute. (2017). PAS 183:2017 smart cities—guide to establishing a decision-making framework for sharing data and information services. London: United Kingdom.

    Google Scholar 

  29. British Standards Institute. (2017). PAS 184: 2017 smart cities—developing project proposals for delivering smart city solutions—guide. London: United Kingdom.

    Google Scholar 

  30. British Standards Institute. (2017). PAS 185:2017 smart cities—specification for establishing and implementing a security-minded approach. London: United Kingdom.

    Google Scholar 

  31. British Standards Institute. (2015). PD 8100:2015—smart cities overview—guide. London: United Kingdom.

    Google Scholar 

  32. British Standards Institute. (2014). PD 8101:2014 smart cities—guide to the role of the planning and development process. London: United Kingdom.

    Google Scholar 

  33. British Standards Institute. (2016). PAS 212—Automatic resource discovery for the Internet of Things—Specification.

    Google Scholar 

  34. ISO. (2010). ISO 26000 Guidance on social responsibility.

    Google Scholar 

  35. ISO. (2016). ISO 37100 Sustainable cities and communities—vocabulary.

    Google Scholar 

  36. ISO. (2016). ISO 37101—sustainable development in communities—management system for sustainable development—requirements with guidance for use (p. 42).

    Google Scholar 

  37. ISO. (2014, July). ISO 37120 sustainable development of communities: Indicators for city services and quality of life (p. 112).

    Google Scholar 

  38. ISO. (2014). ISO/TR 37150 Smart community infrastructures—Review of existing activities relevant to metrics.

    Google Scholar 

  39. ISO. (2015). ISO/TS 37151 Smart community infrastructures—Principles and requirements for performance metrics.

    Google Scholar 

  40. ISO. (2014). BS ISO 55000 series—asset management.

    Google Scholar 

  41. ISO. (2005). ISO 8000—Master data: quality management framework. Electron Bus, 01.

    Google Scholar 

  42. ISO. (2015). EN ISO 9000 : 2015 quality management systems fundamentals and vocabulary.

    Google Scholar 

  43. Waterhouse, R., & Philp, D. (2016). National BIM report (pp. 1–28). London, UK: National BIM Library.

    Google Scholar 

  44. British Standards Institute. (2007). BS 1192-2007 + A22016: Collaborative production of architectural, engineering and construction information.

    Google Scholar 

  45. British Standards Institute. (2013). PAS 1192-2:2013 Specification for information management for the capital/delivery phase of construction projects using building information modelling (No. 1, pp. 1–68).

    Google Scholar 

  46. British Standards Institute. (2014). PAS 1192-3:2014 specification for information management for the operational phase of assets using building information modelling (No. 1, pp. 1–44). British Standards Industries (BSI).

    Google Scholar 

  47. British Standards Institute. (2014). BS 1192-4:2014 collaborative production of information part 4 : Fulfilling employer’ s information exchange requirements using COBie—code of practice (p. 58). British Standards Industries (BSI).

    Google Scholar 

  48. British Standards Institute. (2015). PAS 1192-5-2015 specification for security-minded building information modelling, digital built environments and smart asset management. British Standards Industries (BSI).

    Google Scholar 

  49. British Standards Institution. (2015). BS 8536-1-2015_Briefing for design and construction—part 1 : Code of practice for facilities management (Buildings infrastructure).

    Google Scholar 

  50. ISO. (2015). BS ISO 12006-2:2015 building construction organization of information about construction works Part 2: Framework for classification.

    Google Scholar 

  51. ISO. (2013). ISO 16739:2013—Industry Foundation Classes (IFC) for data sharing in the construction and facility management industries.

    Google Scholar 

  52. ISO. (2016). BS ISO 29481-2:2016—Building Information Modelling—Information Delivery Manual.

    Google Scholar 

  53. C. Office, “Section 2 GSL Lead and GSL Champion,” p. 10, 2013.

    Google Scholar 

  54. Al-Hader, M., Rodzi, A., Sharif, A. R., & Ahmad, N. (2009, November). SOA of smart city geospatial management. In 2009 Third UKSim European Symposium on Computer Modeling and Simulation (pp. 6–10). IEEE.

    Google Scholar 

  55. Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of Things for smart cities. IEEE Internet Things J., 1(1), 22–32.

    Article  Google Scholar 

  56. Chourabi, H., Nam, T., Walker, S., Gil-Garcia, J. R., Mellouli, S., Nahon, K., … & Scholl, H. J. (2012, January). Understanding smart cities: An integrative framework. In 2012 45th Hawaii international conference on system sciences (pp. 2289–2297). IEEE.

    Google Scholar 

  57. Meijer, A., & Bolívar, M. P. R. (2016). Governing the smart city: A review of the literature on smart urban governance. International Review of Administrative Sciences, 82(2), 392–408.

    Article  Google Scholar 

  58. Joshi, S., Saxena, S., & Godbole, T. (2016). Developing smart cities: An integrated framework. Procedia Computer Science, 93, 902–909.

    Google Scholar 

  59. Pye, L., & Schaaf, K. (2018). Organicity playbook How to launch experimentation as a Service in your city.

    Google Scholar 

  60. Gutiérrez, V., Amaxilatis, D., Mylonas, G., & Muñoz, L. (2018). Empowering citizens toward the co-creation of sustainable cities. IEEE Internet Things Journal, 5(2), 668–676.

    Article  Google Scholar 

  61. Amaxilatis, D., Boldt, D., Choque, J., Diez, L., Gandrille, E., Kartakis, S., et al. (2018). Advancing experimentation-as-a-service through urban iot experiments. IEEE Internet of Things Journal. 1.

    Google Scholar 

  62. Haller, S., Neuroni, A. C., Fraefel, M., & Sakamura, K. (2018, May). Perspectives on smart cities strategies: sketching a framework and testing first uses. In Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age (p. 42). ACM.

    Google Scholar 

  63. Kuikkaniemi, K., Poikola, A., & Honko, H. (2015). MyData—A Nordic Model for human-centered personal data management and processing (p. 12). ISBN: 978-952-243-455-5.

    Google Scholar 

  64. CPaaS.io. (2018). City platform as a service. [Online]. Available: https://cpaas.bfh.ch/. Accessed September 02, 2018.

  65. Eriksson, M., Niitamo, V. P., & Kulkki, S. (2005). State-of-the-art in utilizing living labs approach to user-centric ICT innovation—a European approach 1(13), 131.

    Google Scholar 

  66. OCCS. (2017). Omniclass.. [Online]. Available: http://www.omniclass.org/. Accessed Februarys 22, 2018.

  67. Delany, S. (2016). UNICLASS calssification. NBS. [Online]. Available: https://toolkit.thenbs.com/articles/classification. Accessed November 15, 2016.

  68. United Nation Statistics Divison. (2018). Classification of the Functions of Government. [Online]. Available: https://unstats.un.org/unsd/cr/registry/regcst.asp?Cl=4&Lg=1&Top=1. Accessed February 20, 2018.

  69. European Union. (2016). Regulation 2016/679. Official Journal of Europe Communities, 2014, 1–88.

    Google Scholar 

  70. Oxenford, J. L. et al. (2012, April). Key asset data for drinking water and wastewater utilities.

    Google Scholar 

  71. Becerik-Gerber, B., Jazizadeh, F., & Li, N. (2011). Application areas and data requirements for BIM-enabled facilities management. Journal of Construction Engineering and Management, 138(March), 431–442.

    Google Scholar 

Download references

Acknowledgements

This research was supported by the Engineering and Physical Sciences Research Council and Costain Plc through an Industrial CASE Award. The authors also thank the support of the EPSRC Innovation and Knowledge Centre for Smart Infrastructure and Construction as well as the Centre for Digital Built Britain.

Author information

Authors and Affiliations

  1. Institute for Manufacturing, University of Cambridge, 17 Charles Babbage Road, Cambridge, CB30FS, UK

    James Heaton

  2. Institute for Manufacturing, University of Cambridge, 17 Charles Babbage Road, Cambridge, CB30FS, UK

    Ajith Kumar Parlikad

Authors
  1. James Heaton
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ajith Kumar Parlikad
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ajith Kumar Parlikad .

Editor information

Editors and Affiliations

  1. Department of Industrial Management, School of Engineering of the University of Seville, Seville, Spain

    Adolfo Crespo Márquez

  2. Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milan, Italy

    Marco Macchi

  3. Department of Engineering, University of Cambridge, Cambridge, UK

    Ajith Kumar Parlikad

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Heaton, J., Parlikad, A.K. (2020). A Conceptual Framework for the Alignment of Infrastructure Assets to Citizen Requirements in Smart Cities. In: Crespo Márquez, A., Macchi, M., Parlikad, A. (eds) Value Based and Intelligent Asset Management. Springer, Cham. https://doi.org/10.1007/978-3-030-20704-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-20704-5_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20703-8

  • Online ISBN: 978-3-030-20704-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation