Skip to main content

Embracing Modern Technologies and Urban Development Trends: Initial Evaluation of a Smart City Enterprise Architecture Frameworks

  • Conference paper
  • First Online:
Information Systems (EMCIS 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 381))

  • 2347 Accesses

Abstract

The development of smart cities becomes increasingly reliant on leveraging modern technologies such as Internet of Things (IoT), big data, cloud computing, and Artificial Intelligence (AI). While the importance of applying such technologies has been widely recognized, they might not have been effectively discussed in the early design phase. As a widely applied planning and architecting tool, traditional Enterprise Architecture Frameworks (EAF) are not always able to meet requirements of urban development in an expected way. This might be alleviated by applying a smart city-oriented EAF which supports discussion of modern techniques in the early design phase. In the EU smart city project +CityxChange, an EAF was proposed to address such issues. In this article, we focus on an initial evaluation of the EAF proposed in the +CityxChange project according to the Design Science Research (DSR) method. We discuss how the EAF has enhanced the widely used EAF (i.e., The Open Group Architecture Framework, TOGAF for short) by extending its layer-based Enterprise Architecture (EA). We also present a sample scenario demonstrating how the EAF can be used.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

References

  1. United Nations. World Urbanization Prospects (2018). https://population.un.org/wup/

  2. Toh, K., Nagel, P., Oakden, R.: A business and ICT architecture for a logistics city. Int. J. Prod. Econ. 122(1), 216–228 (2009)

    Article  Google Scholar 

  3. Santana, E.F.Z., Chaves, A.P., Gerosa, M.A., et al.: Software platforms for smart cities: concepts, requirements, challenges, and a unified reference architecture. ACM Comput. Surv. (CSUR) 50(6), 78 (2018)

    Article  Google Scholar 

  4. Guo, H., Li, J., Gao, S.: Practical Insights of Applying Enterprise Architecture in Public Sectors: A Survey IEEE EDOC 2019, Paris, France (2019)

    Google Scholar 

  5. The Open Group. The Open Group Architecture Framework TOGAF Version 9.1 (2011)

    Google Scholar 

  6. Lnenicka, M., Komarkova, J.: Developing a government enterprise architecture framework to support the requirements of big and open linked data with the use of cloud computing. Int. J. Inf. Manag. 46, 124–141 (2019)

    Article  Google Scholar 

  7. Goudos, S.K., Loutas, N., Peristeras, V., et al.: Public administration domain ontology for a semantic web services egovernment framework. In: IEEE International Conference on Services Computing, pp. 270–277. IEEE (2007)

    Google Scholar 

  8. Peristeras, V., Tarabanis, K.: Governance enterprise architecture (GEA): domain models for e-governance. In: Proceedings of the 6th International Conference on Electronic Commerce, pp. 471–479. ACM (2004)

    Google Scholar 

  9. Hjort-Madsen, K., Pries-Heje, J.: Enterprise architecture in government: fad or future? In: 2009 42nd Hawaii International Conference on System Sciences, pp. 1–10. IEEE (2009)

    Google Scholar 

  10. Isomäki, H., Liimatainen, K.: Challenges of government enterprise architecture work – stakeholders’ views. In: Wimmer, Maria A., Scholl, Hans J., Ferro, E. (eds.) EGOV 2008. LNCS, vol. 5184, pp. 364–374. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-85204-9_31

    Chapter  Google Scholar 

  11. European Union. +CityxChange. https://cityxchange.eu/

  12. Ahlers, D., Wienhofen, Leendert W.M., Petersen, S.A., Anvaari, M.: A smart city ecosystem enabling open innovation. In: Lüke, K.-H., Eichler, G., Erfurth, C., Fahrnberger, G. (eds.) I4CS 2019. CCIS, vol. 1041, pp. 109–122. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22482-0_9

    Chapter  Google Scholar 

  13. Petersen, S.A., Pourzolfaghar, Z., Alloush, I., Ahlers, D., Krogstie, J., Helfert, M.: Value-added services, virtual enterprises and data spaces inspired enterprise architecture for smart cities. In: Camarinha-Matos, Luis M., Afsarmanesh, H., Antonelli, D. (eds.) PRO-VE 2019. IAICT, vol. 568, pp. 393–402. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-28464-0_34

    Chapter  Google Scholar 

  14. Pourzolfaghar, Z., Bastidas, V., Helfert, M.: Standardisation of enterprise architecture development for smart cities. J. Knowl. Econ. 1–22 (2019)

    Google Scholar 

  15. Von Alan, R.H., March, S.T., Park, J., et al.: Design science in information systems research. MIS Q. 28(1), 75–105 (2004)

    Article  Google Scholar 

  16. Peffers, K., Tuunanen, T., Rothenberger, M.A., et al.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24(3), 45–77 (2007)

    Article  Google Scholar 

  17. Union, E.: The Future Of Cities (2019)

    Google Scholar 

  18. Badii, C., Bellini, P., Difino, A., et al.: Sii-mobility: an IoT/IoE architecture to enhance smart city mobility and transportation services. Sensors 19(1), 1 (2019)

    Article  Google Scholar 

  19. Gaur, A., Scotney, B., Parr, G., et al.: Smart city architecture and its applications based on IoT. Procedia Comput. Sci. 52, 1089–1094 (2015)

    Article  Google Scholar 

  20. Mohamed, N., Al-Jaroodi, J., Jawhar, I., et al.: Smartcityware: a service-oriented middleware for cloud and fog enabled smart city services. IEEE Access 5, 17576–17588 (2017)

    Article  Google Scholar 

  21. Beauvoir, P.: Archi – Open Source ArchiMate Modelling (2019)

    Google Scholar 

  22. Massana i Raurich, J., Pous i Sabadí, C., Burgas Nadal, L., et al.: Identifying services for short-term load forecasting using data driven models in a smart city platform. Sustain. Cities Soc. 28, 108–117 (2017)

    Google Scholar 

  23. Sivrikaya, F., Ben-Sassi, N., Dang, X.-T., et al.: Internet of smart city objects: a distributed framework for service discovery and composition. IEEE Access 7, 14434–14454 (2019)

    Article  Google Scholar 

  24. Clement, S., McKee, D.W., Xu, J.: Service-oriented reference architecture for smart cities. In: 2017 IEEE Symposium on Service-Oriented System Engineering (SOSE), pp. 81–85. IEEE (2017)

    Google Scholar 

  25. Otto, B., Lohmann, S., Steinbuß, S., et al.: IDS Reference Architecture Model, Industrial Data Space, Version 2.0. International Data Spaces Association & Fraunhofer (2018)

    Google Scholar 

  26. Puiu, D., Barnaghi, P., Tonjes, R., et al.: CityPulse: large scale data analytics framework for smart cities. IEEE Access 4, 1086–1108 (2016)

    Article  Google Scholar 

  27. Vilajosana, I., Llosa, J., Martinez, B., et al.: Bootstrapping smart cities through a self- sustainable model based on big data flows. IEEE Commun. Mag. 51(6), 128–134 (2013)

    Article  Google Scholar 

  28. Rani, S., Chauhdary, S.H.: A novel framework and enhanced QoS big data protocol for smart city applications. Sensors 18(11), 16 (2018)

    Article  Google Scholar 

  29. Park, J.-H., Salim, M.M., Jo, J.H., et al.: CIoT-net: a scalable cognitive IoT based smart city network architecture. Hum.-Centric Comput. Inf. Sci. 9(1), 29 (2019)

    Article  Google Scholar 

  30. Sanchez, L., Elicegui, I., Cuesta, J., et al.: Integration of utilities infrastructures in a future internet enabled smart city framework. Sensors 13(11), 14438–14465 (2013)

    Article  Google Scholar 

  31. Simmhan, Y., Ravindra, P., Chaturvedi, S., et al.: Towards a data-driven IoT software architecture for smart city utilities. Soft. Pract. Exp. 48(7), 1390–1416 (2018)

    Article  Google Scholar 

  32. Janssen, M., Hjort-Madsen, K.: Analyzing enterprise architecture in national governments: the cases of denmark and the Netherlands. In: 2007 40th Annual Hawaii International Conference on System Sciences (HICSS’07), p. 218a. IEEE (2007)

    Google Scholar 

Download references

Acknowledgements

+CityxChange is a smart city project funded by the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No. 824260. The authors would like to thank the project partners from Trondheim Municipality, Limerick City Council and all the participants in the project team.

This research is financially supported by The European Research Consortium for Informatics and Mathematics. (ERCIM).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hong Guo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Guo, H., Petersen, S.A., Gao, S., Li, J., Bokolo, A.J. (2020). Embracing Modern Technologies and Urban Development Trends: Initial Evaluation of a Smart City Enterprise Architecture Frameworks. In: Themistocleous, M., Papadaki, M. (eds) Information Systems. EMCIS 2019. Lecture Notes in Business Information Processing, vol 381. Springer, Cham. https://doi.org/10.1007/978-3-030-44322-1_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-44322-1_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-44321-4

  • Online ISBN: 978-3-030-44322-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics