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Digital and Big Data Initiatives for Smart Cities in Developing Countries: A Socio-technical View for Developing City Contexts

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Advances in Information and Communication (FICC 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 439))

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Abstract

Data, information and information sharing are key aspects of development in globalized economies. Developing and developed economies need a cross pollination of information in order to align their development strategies. However, there exists a mismatch between information sharing among technocrats of technology and would be users of the generated data, let alone academia and practice. In efforts to improve services through smart city strategies, there is need to harness wireless sensor networks that generate and provide enormous amount of data referred to as big data in a socio-technical approach since smart city is a socio-technical challenge itself. This paper analyses the opportunities and challenges for use of intelligent systems and big data for reaching the contemporary Smart City strategy in a bid to improve service delivery to the citizens and residents. The methodology of this paper is through literature search, policy analysis and aligns to empirical participatory design results from the previous PhD study in order to inform Smart City initiatives in a developing country context case study. Based on findings, this paper proposes human-like Internet of Things (IoTs) that generate big data to ensure fitness and value addition within a given smart city context. The paper asserts that technology is a component of socio-technical ecosystem and therefore big data-oriented system developments should focus on data integration within a social and cultural context.

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References

  1. United Nations. The World’sCities in 2016: Economic and Social Affairs. Booklet (2016)

    Google Scholar 

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

    Google Scholar 

  3. Vardoulakis, S., Keith, D., Wilkinson, P.: Challenges and opportunities for urban environmental health and sustainability: the HEALTHY-POLIS initiative. Environ. Health 15(1), S30 (2016)

    Google Scholar 

  4. Hiller, H.H.: Mega-events, urban boosterism and growth strategies: an analysis of the objectives and legitimations of the Cape Town 2004 Olympic Bid. Int. J. Urban Reg. Res. 24(2), 449–458 (2000)

    Article  Google Scholar 

  5. Kyakulumbye, S., Pather, S., Jantjies, M.: Creating knowledge in the design thinking process: reflections on participatory design. In: ICICKM 2018 15th International Conference on Intellectual Capital Knowledge Management & Organisational Learning, p. 132. Academic Conferences and Publishing Limited, November 2018

    Google Scholar 

  6. Kyakulumbye, S., Pather, S., Jantjies, M.: Knowledge creation in a participatory design context: the use of empathetic participatory design. Electron. J. Knowl. Manage. 17(1), 49–65 (2019)

    Google Scholar 

  7. Guo, Y.M., Huang, Z.L., Guo, J., Li, H., Guo, X.R., Nkeli, M.J.: Bibliometric analysis on smart cities research. Sustainability 11(13), 3606 (2019)

    Article  Google Scholar 

  8. Albino, V., Berardi, U., Dangelico, R.M.: Smart cities: definitions, dimensions, performance, and initiatives. J. Urban Technol. 22(1), 3–21 (2015)

    Article  Google Scholar 

  9. Nam, T., Pardo, T.A.: Conceptualizing smart city with dimensions of technology, people, and institutions. In: Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, pp. 282–291. ACM, June 2011

    Google Scholar 

  10. Da Xu, L., He, W., Li, S.: Internet of things in industries: a survey. IEEE Trans. Industr. Inf. 10(4), 2233–2243 (2014)

    Article  Google Scholar 

  11. Jin, J., Gubbi, J., Marusic, S., Palaniswami, M.: An information framework for creating a smart city through internet of things. IEEE Internet Things J. 1(2), 112–121 (2014)

    Article  Google Scholar 

  12. https://www.berlin-partner.de/fileadmin/user_upload/01_chefredaktion/02_pdf/02_navi/21/Strategie_Smart_City_Berlin_en.pdf

  13. https://www.capetownmagazine.com/cape-town-smartest-city-in-africa

  14. https://unctad.org/meetings/en/Presentation/ecn162016p10_Ssekajja-KCCA_en.pdf

  15. https://smarter.dc.gov/

  16. http://www.barcinno.com/barcelona-smart-city-technologies/

  17. Moir, E., Moonen, T., Clark, G.: What are future cities? Origins, meanings and uses. Compiled by The Business of Cities for the Foresight Future of Cities Project and the Future Cities Catapult. Published by Government Office for Science, Foresight (2014). https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/337549/14-820-what-are-future-cities.pdf

  18. Edwards, L.: Privacy, security and data protection in smart cities: a critical EU law perspective. Eur. Data Prot. L. Rev. 2, 28 (2016)

    Article  Google Scholar 

  19. Yaqoob, I., et al.: Internet of things architecture: recent advances, taxonomy, requirements, and open challenges. IEEE Wirel. Commun. 24(3), 10–16 (2017)

    Article  Google Scholar 

  20. Bris, A.: Smart cities: world’s best don’t just adopt new technology, they make it work for people (2019). https://theconversation.com/smart-cities-worlds-best-dont-just-adopt-new-technology-they-make-it-work-for-people-124939

  21. Ferreira, P., Martinho, R., Domingos, D.: IoT-aware business processes for logistics: limitations of current approaches. In: INForum, pp. 611–622, September 2010

    Google Scholar 

  22. Rong, K., Hu, G., Lin, Y., Shi, Y., Guo, L.: Understanding business ecosystem using a 6C framework in Internet-of-Things-based sectors. Int. J. Prod. Econ. 159, 41–55 (2015)

    Article  Google Scholar 

  23. Majeed, A.A., Rupasinghe, T.D.: Internet of things (IoT) embedded future supply chains for industry 4.0: an assessment from an ERP-based fashion apparel and footwear industry. Int. J. Supply Chain Manage. 6(1), 25–40 (2017)

    Google Scholar 

  24. Carvalho, L.: Smart cities from scratch? a socio-technical perspective. Camb. J. Reg. Econ. Soc. 8(1), 43–60 (2014)

    Article  MathSciNet  Google Scholar 

  25. Jabbar, S., Ullah, F., Khalid, S., Khan, M., Han, K.: Semantic interoperability in heterogeneous IoT infrastructure for healthcare. Wireless Communications and Mobile Computing (2017)

    Google Scholar 

  26. Saadatmand, M., Cicchetti, A., Sjödin, M.: Uml-based modeling of non-functional requirements in telecommunication systems. In: The Sixth International Conference on Software Engineering Advances (ICSEA 2011), pp. 213–220. The Institute of Electrical and Electronics Engineers, Inc., Barcelona, October 2011

    Google Scholar 

  27. Jonkers, H., Iacob, M.E., Lankhorst, M.M., Strating, P.: Integration and analysis of functional and non-functional aspects in model-driven e-service development. In: Ninth IEEE International EDOC Enterprise Computing Conference (EDOC 2005), pp. 229–238. IEEE, September 2005

    Google Scholar 

  28. Harrison, N., Avgeriou, P.: Pattern-driven architectural partitioning: balancing functional and non-functional requirements. In: 2007 Second International Conference on Digital Telecommunications (ICDT 2007), p. 21. IEEE, July 2007

    Google Scholar 

  29. Gross, D., Yu, E.: Evolving system architecture to meet changing business goals: an agent and goal-oriented approach. In: Proceedings Fifth IEEE International Symposium on Requirements Engineering, pp. 316–317. IEEE, August 2001

    Google Scholar 

  30. Yonezawa, T., Matranga, I., Galache, J.A., Maeomichi, H., Gurgen, L., Shibuya, T.: A citizen-centric approach towards global-scale smart city platform. In: 2015 International Conference on Recent Advances in Internet of Things (RIoT), pp. 1–6. IEEE, April 2015

    Google Scholar 

  31. Lea, R., Blackstock, M.: City hub: a cloud-based IoT platform for smart cities. In: 2014 IEEE 6th International Conference on Cloud Computing Technology and Science, pp. 799–804. IEEE, December 2014

    Google Scholar 

  32. Soro, A., Brereton, M., Roe, P. (eds.): Social Internet of Things. IT, Springer, Cham (2019). https://doi.org/10.1007/978-3-319-94659-7

    Book  Google Scholar 

  33. Haider, I., Höberl, M., Rinner, B.: Trusted sensors for participatory sensing and iot applications based on physically unclonable functions. In: Proceedings of the 2nd ACM International Workshop on IoT Privacy, Trust, and Security, pp. 14–21. ACM, May 2016

    Google Scholar 

  34. Winkler, T.J., Ziekow, H., Weinberg, M.: Municipal benefits of participatory urban sensing: a simulation approach and case validation. J. Theor. Appl. Electron. Commer. Res. 7(3), 101–120 (2012)

    Article  Google Scholar 

  35. Harrison, C., et al.: Foundations for smarter cities. IBM J. Res. Dev. 54(4), 1–16 (2010)

    Article  Google Scholar 

  36. Garrison, L.P., Jr., Neumann, P.J., Erickson, P., Marshall, D., Mullins, C.D.: Using real-world data for coverage and payment decisions: the ISPOR real-world data task force report. Value Health 10(5), 326–335 (2007)

    Article  Google Scholar 

  37. Zhang, D., Guo, B., Yu, Z.: The emergence of social and community intelligence. Computer 44(7), 21–28 (2011)

    Google Scholar 

  38. Siegemund, F., Florkemeier, C.: Interaction in pervasive computing settings using Bluetooth-enabled active tags and passive RFID technology together with mobile phones. In: Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003 (PerCom 2003), pp. 378–387. IEEE, March 2003

    Google Scholar 

  39. Shin, D.: A socio-technical framework for Internet-of-Things design: a human-centered design for the Internet of Things. Telematics Inform. 31(4), 519–531 (2014)

    Article  Google Scholar 

  40. Uckelmann, D., Harrison, M., Michahelles, F.: An architectural approach towards the future internet of things. In: Architecting the Internet of Things, pp. 1–24. Springer, Heidelberg (2011)

    Google Scholar 

  41. Shilton, K., et al.: Participatory design of sensing networks: strengths and challenges. In: Proceedings of the Tenth Anniversary Conference on Participatory Design 2008, pp. 282–285. Indiana University, October 2008

    Google Scholar 

  42. DiSalvo, C., Nourbakhsh, I., Holstius, D., Akin, A., Louw, M.: The Neighborhood Networks project: a case study of critical engagement and creative expression through participatory design. In: Proceedings of the Tenth Anniversary Conference on Participatory Design 2008, pp. 41–50. Indiana University, October 2008

    Google Scholar 

  43. Ning, H., Wang, Z.: Future internet of things architecture: like mankind neural system or social organization framework? IEEE Commun. Lett. 15(4), 461–463 (2011)

    Article  Google Scholar 

  44. Pieroni, M., Rizzello, L., Rosini, N., Fantoni, G., De Rossi, D., Mazzei, D.: Affective Internet of Things: Mimicking human-like personality in designing smart-objects. In: 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), pp. 400–405. IEEE, December 2015

    Google Scholar 

  45. Karimi, K., Atkinson, G.: What the Internet of Things (IoT) needs to become a reality. White Paper, FreeScale and ARM, pp.1–16 (2013)

    Google Scholar 

  46. Endsley, M.R.: Measurement of situation awareness in dynamic systems. Hum. Factors 37(1), 65–84 (1995)

    Article  Google Scholar 

  47. Endsley, M.R.: Toward a theory of situation awareness in dynamic systems. In: Situational Awareness, pp. 9–42. Routledge (2017)

    Google Scholar 

  48. Tyagi, S., Agarwal, A., Maheshwari, P.: A conceptual framework for IoT-based healthcare system using cloud computing. In: 2016 6th International Conference-Cloud System and Big Data Engineering (Confluence), pp. 503–507. IEEE, January 2016

    Google Scholar 

  49. Beckwith, C.M.: Encountering the more-than-human in urban fantasy literature. The University of Utah (2016)

    Google Scholar 

  50. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., Ayyash, M.: Internet of things: a survey on enabling technologies, protocols, and applications. IEEE Commun. Surveys Tutorials 17(4), 2347–2376 (2015)

    Article  Google Scholar 

  51. Roy, S., Ashaduzzaman, M., Hassan, M., Chowdhury, A.R.: BlockChain for IoT security and management: current prospects, challenges and future directions. In: 2018 5th International Conference on Networking, Systems and Security (NSysS), pp. 1–9. IEEE, December 2018

    Google Scholar 

  52. Kyakulumbye, S., Pather, S., Bagula, A.: Smart city Citizens’ service provision using participatory design and participatory sensing: Lessons for developing cities. In: 2020 IST-Africa Conference (IST-Africa), pp. 1–12. IEEE, May 2020

    Google Scholar 

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Authors and Affiliations

  1. Uganda Christian University, Kampala 4, Mukono, Uganda

    Stephen Kyakulumbye

  2. University of the Western Cape, Cape Town, 7535, South Africa

    Shaun Pather

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  1. Stephen Kyakulumbye
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  2. Shaun Pather
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Correspondence to Stephen Kyakulumbye .

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Editors and Affiliations

  1. Saga University, Saga, Japan

    Kohei Arai

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Kyakulumbye, S., Pather, S. (2022). Digital and Big Data Initiatives for Smart Cities in Developing Countries: A Socio-technical View for Developing City Contexts. In: Arai, K. (eds) Advances in Information and Communication. FICC 2022. Lecture Notes in Networks and Systems, vol 439. Springer, Cham. https://doi.org/10.1007/978-3-030-98015-3_4

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