Skip to main content

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 527))

Abstract

Over the past decade, ‘smart’ cities have capitalized on new technologies and insights to transform their systems, operations and services. The rationale behind the use of these technologies is that an evidence-based, analytical approach to decision-making will lead to more robust and sustainable outcomes. However, harvesting high-quality data from the dense network of sensors embedded in the urban infrastructure, and combining this data with social network data, poses many challenges. In this paper, we investigate the use of an intelligent middleware – Device Nimbus – to support data capture and analysis techniques to inform urban planning and design. We report results from a ‘Living Campus’ experiment at the University of Melbourne, Australia focused on a public learning space case study. Local perspectives, collected via crowd sourcing, are combined with distributed and heterogeneous environmental sensor data. Our analysis shows that Device Nimbus’ data integration and intelligent modules provide high-quality support for decision-making and planning.

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

Similar content being viewed by others

Notes

  1. 1.

    More technical details can be found in [3].

  2. 2.

    https://www.nectar.org.au.

  3. 3.

    Facebook data was removed from the initial series of tests to simplify the analysis in the case study.

References

  1. Oliveira, E.A., Kirley, M., Vanz, E., Gama, K.: hSpy: An intelligent framework for context and predictive analysis for smarter health devices (2014)

    Google Scholar 

  2. Sun, X.H., Blatecky, A.R.: Middleware: the key to next generation computing. J. Parallel Distrib. Comput. 64(6), 689–691 (2004)

    Article  Google Scholar 

  3. Oliveira, E.A., Michael, K., Jorge, C.B.F.: Device nimbus: an intelligent middleware for smarter services for health and fitness. Int. J. Distrib. Sens. Netw. Article ID: 454626. Provisional PDF (2015)

    Google Scholar 

  4. Chourabi, H., Nam, T., Walker, S., Gil-Garcia, J.R., Mellouli, S., Nahon, K., Pardo, T.A., Scholl, H.J.: Understanding smart cities: an integrative framework. In: 2012 45th Hawaii International Conference on System Science (HICSS), IEEE, pp. 2289–2297 (2012)

    Google Scholar 

  5. Boulton, A., Brunn, S.D., Devriendt, L.: 18 Cyberinfrastructures and smart world cities: physical, human and soft infrastructures. International Handbook of Globalization and World Cities, 198 (2011)

    Google Scholar 

  6. Hollands, R.G.: Will the real smart city please stand up? intelligent, progressive or entrepreneurial? City 12(3), 303–320 (2008)

    Article  MathSciNet  Google Scholar 

  7. Batty, M., Axhausen, K.W., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., Portugali, Y.: Smart cities of the future. Eur. Phys. J.-Spec. Top. 214(1), 481–518 (2012)

    Article  Google Scholar 

  8. Caragliu, A., Del Bo, C., Nijkamp, P.: Smart cities in Europe. J. Urban Technol. 18(2), 65–82 (2011)

    Article  Google Scholar 

  9. Harrison, C., Eckman, B., Hamilton, R., Hartswick, P., Kalagnanam, J., Paraszczak, J., Williams, P.: Foundations for smarter cities. IBM J. Res. Dev. 54(4), 1–16 (2010)

    Article  Google Scholar 

  10. Toppeta, D.: The smart city vision: how innovation and ICT can build smart, livable, sustainable cities. The Innovation Knowledge Foundation (2014). http://www.inta-aivn.org/images/cc/Urbanism/background%20documents/Toppeta_Report_005_2010.pdf

  11. Coe, A., Paquet, G., Roy, J.: E-governance and smart communities a social learning challenge. Soc. Sci. Comput. Rev. 19(1), 80–93 (2001)

    Article  Google Scholar 

  12. Saelens, B.E., Sallis, J.F., Frank, L.D.: Environmental correlates of walking and cycling: findings from the transportation, urban design, and planning literatures. Ann. Behav. Med. 25(2), 80–91 (2003)

    Article  Google Scholar 

  13. Thompson, C.W.: Urban open space in the 21st century. Landscape Urban Plan. 60(2), 59–72 (2002)

    Article  Google Scholar 

  14. Force, U.T.: Towards an urban renaissance: final report of the urban task force chaired by Lord Rogers of Riverside, The Department of the Environment. Transport, and Regions (DoE), London (2002)

    Google Scholar 

  15. Batty, M.: The New Science of Cities. MIT Press, Cambridge (2013)

    Google Scholar 

  16. Nimbits. http://www.nimbits.com

  17. Etherios. http://www.idigi.com

  18. ThingSpeak. http://www.thingspeak.com

  19. WSO2. http://www.wso2.com

  20. Blackstock, M., Kaviani, N., Lea, R., Friday, A.: MAGIC broker 2: an open and extensible platform for the internet of things. In: Internet of Things (IOT), IEEE, pp. 1–8, (2010)

    Google Scholar 

  21. Erbad, A., Blackstock, M., Friday, A., Lea, R., Al-Muhtadi, J.: Magic broker: a middleware toolkit for interactive public displays. In: Sixth Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008, IEEE, pp. 509–514 (2008)

    Google Scholar 

  22. Filipponi, L., Vitaletti, A., Landi, G., Memeo, V., Laura, G., Pucci, P.: Smart city: an event driven architecture for monitoring public spaces with heterogeneous sensors. In: 2010 Fourth International Conference on Sensor Technologies and Applications (SENSORCOMM), IEEE, pp. 281–286 (2010)

    Google Scholar 

  23. Xively. https://xively.com/

  24. Anthopoulos, L., Fitsilis, P.: From digital to ubiquitous cities: defining a common architecture for urban development. In: 2010 Sixth International Conference on Intelligent Environments (IE), IEEE, pp. 301–306 (2010)

    Google Scholar 

  25. Ishida, T.: Digital city kyoto. Commun. ACM 45(7), 76–81 (2002)

    Article  Google Scholar 

  26. Lieshout, V.: Configuring the digital city of Amsterdam. N. Media Technol. 3(1), 27–52 (2001)

    Google Scholar 

  27. Van Bastelaer, B.: Digital cities and transferability of results. In: 4th EDC Conference on Digital Cities, Salzburg, pp. 61–70 (1998)

    Google Scholar 

  28. Yu, Z., Liang, Y., Xu, B., Yang, Y., Guo, B.: Towards a smart campus with mobile social networking. In: 2011 International Conference on Internet of Things (iThings/CPSCom), and 4th International Conference on Cyber, Physical and Social Computing, IEEE, pp. 162–169 (2011)

    Google Scholar 

  29. Vieira dos Santos, V., Salgado, C.B.: CEManTIKA: a domain-independent framework for designing context sensitive systems (2008)

    Google Scholar 

  30. Kenney, D.R., Dumont, R., Kenney, G.: Mission and Place: Strengthening Learning and Community Through Campus Design. Greenwood Publishing Group, Westport (2005)

    Google Scholar 

  31. Oliveira, E.A., Tedesco, P.: I-collaboration: um modelo de colaboração inteligente personalizada para ambientes de EAD. Revista Brasileira de Informática na Educação. 18(1), 17–31 (2010)

    Article  Google Scholar 

  32. Yau, S.S., Gupta, S.K., Karim, F., Ahamed, S.I., Wang, Y., Wang, B.: Smart classroom: enhancing collaborative learning using pervasive computing technology. In: ASEE 2003 Annual Conference and Exposition, pp. 13633–13642. Sn (2003)

    Google Scholar 

  33. Halawani, T., Mohandes, M.: Smart card for smart campus: KFUPM case study. In: Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems. ICECS 2003, vol. 3, IEEE, pp. 1252–1255 (2003)

    Google Scholar 

  34. Rohs, M., Bohn, J.: Entry points into a smart campus environment-overview of the ETHOC system. In: Proceedings 23rd International Conference on Distributed Computing Systems Workshops 2003, IEEE, pp. 260–266 (2003)

    Google Scholar 

  35. Eagle, N., Pentland, A.S., Lazer, D.: Inferring friendship network structure by using mobile phone data. Proc. Natl. Acad. Sci. 106(36), 15274–15278 (2009)

    Article  Google Scholar 

  36. Mirisaee, S.H., Noorzadeh, S., Sami, A., Sameni, R.: Mining friendship from cell-phone switch data. In: 2010 3rd International Conference on Human-Centric Computing (HumanCom), IEEE, pp. 1–5 (2010)

    Google Scholar 

  37. Ankolekar, A., Szabo, G., Luon, Y., Huberman, B.A., Wilkinson, D., Wu, F.: Friendlee: a mobile application for your social life. In: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services, p. 27. ACM (2009)

    Google Scholar 

  38. Estimote Beacons. http://estimote.com/#jump-to-products

  39. Li, K.A., Sohn, T.Y., Huang, S., Griswold, W.G.: Peopletones: a system for the detection and notification of buddy proximity on mobile phones. In: Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services, pp. 160–173. ACM (2008)

    Google Scholar 

  40. Apache Camel. http://camel.apache.org/

  41. Apache Camel Components. http://camel.apache.org/components.html

  42. JBoss Drools. http://www.drools.org/

  43. SPLnFFT. https://itunes.apple.com/au/app/splnfft-noise-meter/id355396114?mt=8

Download references

Acknowledgements

Eduardo A. Oliveira and Carlos Vaz would like to thank National Council for Scientific and Technological Development (CNPq) – Brazil, for supporting their postdoc position (scholarship provided under reports nº BEX 9213/13-9 and nº BEX 11523-13-1).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eduardo A. Oliveira .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Oliveira, E.A., Kirley, M., Kvan, T., Karakiewicz, J., Vaz, C. (2015). Distributed and Heterogeneous Data Analysis for Smart Urban Planning. In: Celani, G., Sperling, D., Franco, J. (eds) Computer-Aided Architectural Design Futures. The Next City - New Technologies and the Future of the Built Environment. CAAD Futures 2015. Communications in Computer and Information Science, vol 527. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47386-3_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-47386-3_3

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47385-6

  • Online ISBN: 978-3-662-47386-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics