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Smart Cities: Big Data and Behavioral Operational Research

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Behavioral Operational Research

Abstract

In this chapter we describe a number of case studies utilizing big data and OR. Each case study is a distinct strand with implications for practice. Following the case studies, we outline how these strands come together in our conceptualization of Smart OR.

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Notes

  1. 1.

    See http://smartsteep.eu/resources.

  2. 2.

    http://www.bristolisopen.com.

References

  • Ackermann, F., L.A. Franco, B. Gallupe, and M. Parent. 2005. GSS for multi-organizational collaboration: Reflections on process and content. Group Decision and Negotiation 14: 307–331.

    Article  Google Scholar 

  • Ackoff, R.L. 1981. The art and science of mess management. Interfaces 11: 20–26.

    Article  Google Scholar 

  • Bana e Costa, C.A., J.C. Lourenço, M.D. Oliveira, and J.C. Bana e Costa. 2014. A socio-technical approach for group decision support in public strategic planning: The Pernambuco PPA case. Group Decision and Negotiation 23: 5–29.

    Article  Google Scholar 

  • Batty, M. 2012. Smart cities, big data. Environment and Planning-Part B 39: 191.

    Article  Google Scholar 

  • Batty, M. 2013. Big data, smart cities and city planning. Dialogues in Human Geography 3: 274–279.

    Article  Google Scholar 

  • Bristol City Council. 2012. Connect Bristol feasibility study. https://connect.innovateuk.org/documents/3130726/3794125/Feasibility%20Study%20-%20Bristol%20City%20Council.pdf. Accessed 15 Nov 2015.

  • Bristol City Council. 2014. Bristol City Council | Open Data Bristol. https://opendata.bristol.gov.uk/. Accessed 15 Nov 2015.

  • Bryson, J.M., F. Ackermann, C. Eden, and C.B. Finn. 2004. Visible thinking: Unlocking causal mapping for practical business results. New York: Wiley.

    Google Scholar 

  • Callon, M. 1999. The role of lay people in the production and dissemination of scientific knowledge. Science, Technology & Society 4: 81–94.

    Article  Google Scholar 

  • Checkland, P. 1981. Systems thinking, systems practice. Chichester: Wiley.

    Google Scholar 

  • Checkland, P., and J. Scholes. 1999. Soft systems methodology in action. Chichester: Wiley.

    Google Scholar 

  • Checkland, P., and M. Winter. 2006. Process and content: Two ways of using SSM. Journal of the Operational Research Society 57: 1435–1441.

    Article  Google Scholar 

  • Coelho, D., C.H. Antunes, and A.G. Martins. 2010. Using SSM for structuring decision support in urban energy planning. Technological and Economic Development of Economy 16: 641–653.

    Article  Google Scholar 

  • Davis, J., A. MacDonald, and L. White. 2010. Problem-structuring methods and project management: An example of stakeholder involvement using hierarchical process modelling methodology. Journal of the Operational Research Society 61: 893–904.

    Article  Google Scholar 

  • Engeström, Y., J. Virkkunen, M. Helle, J. Pihlaja, and R. Poikela. 1996. The change laboratory as a tool for transforming work. Lifelong Learning in Europe 1: 10–17.

    Google Scholar 

  • Franco, L.A. 2007. Assessing the impact of problem structuring methods in multi-organizational settings: An empirical investigation. Journal of the Operational Research Society 58: 760–768.

    Article  Google Scholar 

  • Franco, L.A. 2008. Facilitating collaboration with problem structuring methods: A case study of an inter-organisational construction partnership. Group Decision and Negotiation 17: 267–286.

    Article  Google Scholar 

  • Franco, L.A. 2009. Problem structuring methods as intervention tools: Reflections from their use with multi-organisational teams. Omega 37: 193–203.

    Article  Google Scholar 

  • Franco, L.A. 2013. Rethinking soft OR interventions: Models as boundary objects. European Journal of Operational Research 231: 720–733.

    Article  Google Scholar 

  • Greiffenhagen, C. 2013. Visual grammar in practice: Negotiating the arrangement of speech bubbles in storyboards. Semiotica 195: 127–167.

    Google Scholar 

  • Horlick-Jones, T., J. Rosenhead, I. Georgiou, J. Ravetzd, and R. Löfstedte. 2001. Decision support for organisational risk management by problem structuring. Health, Risk & Society 3: 141–165.

    Article  Google Scholar 

  • Horn, R.E., and R.P. Weber. 2007. New tools for resolving wicked problems: Mess mapping and resolution mapping processes. Watertown: Strategy Kinetics LLC.

    Google Scholar 

  • KWMC. 2015. City dashboard – How’s Bristol doing? http://kwmc.org.uk/projects/citydashboard. Accessed 15 Nov 2015.

  • Laibson, D. 1997. Golden eggs and hyperbolic discounting. The Quarterly Journal of Economics 112: 443–477.

    Article  Google Scholar 

  • Lazarus, R.J. 2009. Super wicked problems and climate change: Restraining the present to liberate the future. Cornell Law Review 94: 1153–1234.

    Google Scholar 

  • Levin, K., B. Cashore, S. Bernstein, and G. Auld. 2007. Playing it forward: Path dependency, progressive incrementalism, and the ‘super wicked’ problem of global climate change. International studies association 48th annual convention, 28 Feb.

    Google Scholar 

  • Local Government Association. 2011. Case study. Bristol City Council: Bringing open data to life. http://www.local.gov.uk/documents/10180/11643/Bristol+City+Council_+Bringing+open+data+to+life.pdf/ed8db46c-e3e3-427c-b33b-c1aa4bd72e4f. Accessed 15 Nov 2015

  • Mingers, J. 2011. Soft OR comes of age – But not everywhere! Omega 39: 729–741.

    Article  Google Scholar 

  • Mingers, J., and J. Brocklesby. 1997. Multimethodology: Towards a framework for mixing methodologies. Omega 25: 489–509.

    Article  Google Scholar 

  • Morton, A., F. Ackermann, and V. Belton. 2007. Problem structuring without workshops? Experiences with distributed interaction within a PSM process. Journal of the Operational Research Society 58: 547–556.

    Article  Google Scholar 

  • Neves, L.M.P., A.G. Martins, C.H. Antunes, and L.C. Dias. 2004. Using SSM to rethink the analysis of energy efficiency initiatives. Journal of the Operational Research Society 55: 968–975.

    Article  Google Scholar 

  • Paroutis, S., L.A. Franco, and T. Papadopoulos. 2015. Visual interactions with strategy tools: Producing strategic knowledge in workshops. British Journal of Management 26: S48–S66.

    Article  Google Scholar 

  • Pickering, A. 1995. The mangle of practice: Time, agency, and science. Chicago and London: University of Chicago Press.

    Book  Google Scholar 

  • Rittel, H.W., and M.M. Webber. 1973. Dilemmas in a general theory of planning. Policy sciences 4: 155–169.

    Article  Google Scholar 

  • Rosenhead, J. 1992. Into the swamp: The analysis of social issues. Journal of the Operational Research Society 43: 293–305.

    Article  Google Scholar 

  • Srivastava, L., and A. Vakali. 2012. Towards a narrative-aware design framework for smart urban environments The Future Internet, 166–177. Berlin/Heidelberg: Springer.

    Google Scholar 

  • Tavella, E., and L.A. Franco. 2015. Dynamics of group knowledge production in facilitated modelling workshops: An exploratory study. Group Decision and Negotiation 24: 451–475.

    Article  Google Scholar 

  • Tversky, A., and D. Kahneman. 1992. Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty 5: 297–323.

    Article  Google Scholar 

  • Van de Ven, A.H., and M.S. Poole. 2005. Alternative approaches for studying organizational change. Organization Studies 26: 1377–1404.

    Article  Google Scholar 

  • White, L., K. Burger, and M. Yearworth. 2016. Understanding behaviour in problem structuring methods interventions with activity theory. European Journal of Operational Research 249: 983–1004.

    Article  Google Scholar 

  • Williamson, A. 2014. The collaboratory: A co-creative stakeholder engagement process for solving complex problems, ed. K. Muff. Sheffield: Greenleaf.

    Google Scholar 

  • Yearworth, M. 2015. Sustainability as a “super wicked” problem: Opportunities and limits for engineering methodology. Intelligent Buildings International 8: 37–47.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Warwick Business School, University of Warwick, Coventry, CV4 7AL, UK

    Leroy White

  2. Portsmouth Business School, University of Portsmouth, Portland Street, Portsmouth, PO1 3DE, UK

    Katharina Burger

  3. Faculty of Engineering, University of Bristol, Queen’s Building, University Walk, Clifton, Bristol, BS8 1TR, UK

    Mike Yearworth

Authors
  1. Leroy White
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  2. Katharina Burger
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  3. Mike Yearworth
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Editor information

Editors and Affiliations

  1. Warwick Business School, University of Warwick, Coventry, UK

    Martin Kunc

  2. BT Technology Service & Operations, Martlesham Heath, UK

    Jonathan Malpass

  3. Warwick Business School, University of Warwick, Coventry, UK

    Leroy White

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© 2016 The Author(s)

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White, L., Burger, K., Yearworth, M. (2016). Smart Cities: Big Data and Behavioral Operational Research. In: Kunc, M., Malpass, J., White, L. (eds) Behavioral Operational Research. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-137-53551-1_15

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