Facilitating data-intensive approaches to innovation for sustainability: opportunities and challenges in building smart cities

Abstract

Sustainability concerns reducing air and water pollution, improving energy efficiency while securing energy supply, and maintaining resilience to disasters. Interconnected in complex and dynamic ways, these challenges pose formidable difficulties and obstacles in designing and implementing sustainable smart cities. As various types of data are increasingly available on diverse dimensions of cities, it is critical to assemble and integrate them in creating innovation. Sustainability science communities can play an important crucial role in facilitating the exchange and sharing of data accumulated through research activities. Institutional arrangements need to be aligned with incentives to stakeholders in promoting open data for innovation.

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

References

  1. Bai X, Shi P, Liu Y (2014) Realizing China’s urban dream. Nature 509:158–160

    Article  Google Scholar 

  2. Bin S, Zhiquan Y, Jonathan LSC, Jiewei DK, Kurle D, Cerdas F, Herrmann C (2015) A big data analytics approach to develop industrial symbioses in large cities. Procedia CIRP 29:450–455

    Article  Google Scholar 

  3. Clark WC, van Kerkhoff L, Lebel L, Gallopin GC (2016) Crafting usable knowledge for sustainable development. Proc Natl Acad Sci 113(17):4570–4578

    CAS  Article  Google Scholar 

  4. Cohen W, Walsh J (2008) Real Impediments to Academic Research. In: Jaffe AB, Lerner J, Stern S (eds) Innovation policy and the economy, vol 8. University of Chicago Press, Chicago

    Google Scholar 

  5. DIAS (2017). Data integration and analysis system program. http://www.diasjp.net/en/. Accessed 29 Aug 2017

  6. Grubler A, Fisk D (eds) (2013) Energizing sustainable cities: assessing urban energy. Routledge, London

    Google Scholar 

  7. Haeussler C, Jiang L, Thursby J, Thursby M (2014) Specific and general information sharing among competing academic researchers. Res Policy 43(3):465–475

    Article  Google Scholar 

  8. Independent Expert Advisory Group on a Data Revolution for Sustainable Development (2014) A world that counts: mobilising the data revolution for sustainable development. Report prepared at the request of the United Nations Secretary—General, November

  9. Kajikawa Y, Ohno J, Takeda Y, Matsushima K, Komiyama H (2007) Creating an academic landscape of sustainability science: an analysis of the citation network. Sustain Sci 2:221–231

    Article  Google Scholar 

  10. Kajikawa Y, Tacoa F, Yamaguchi K (2014) Sustainability science: the changing landscape of sustainability research. Sustain Sci 9(4):431–438

    Article  Google Scholar 

  11. Kates RW, Clark WC, Corell R, Hall JM, Jaeger CC, Lowe I, McCarthy JJ, Schellnhuber HJ, Bolin B, Dickson NM, Faucheux S, Gallopin GC, Grubler A, Huntley B, Jager J, Jodha NS, Kasperson RE, Mabogunje A, Matson P, Mooney H, Moore BI, O’Riordan T, Svedin U (2001) Sustainability science. Science 292(5517):641–642

    CAS  Article  Google Scholar 

  12. Kharrazi A, Qin H, Zhang Y (2016) Urban big data and sustainable development goals: challenges and opportunities. Sustainability 8(12):1293

    Article  Google Scholar 

  13. Liu X, Song Y, Wu K, Wang J, Li D, Long Y (2015) Understanding urban China with open data. Cities 47:53–61

    Article  Google Scholar 

  14. Mutisya E, Yarime M (2014) Moving towards urban sustainability in Kenya: a framework for integration of environmental, economic, social and governance dimensions. Sustain Sci 9(2):205–215

    Article  Google Scholar 

  15. Ono M, Koike T, Shibasaki R (2016) Survey for research data sharing in earth environmental information domain: realities in research community. J Inf Process Manag 59(8):514–525

    Google Scholar 

  16. Organisation for Economic Co-operation and Development (2015a) Inquiries into intellectual property’s economic impact. OECD

  17. Organisation for Economic Co-operation and Development (2015b) Making open science a reality. OECD

  18. Ostrom E (2009) A general framework for analyzing sustainability of social-ecological systems. Science 325(5939):419–422

    CAS  Article  Google Scholar 

  19. Selomane O, Reyers B, Biggs R, Tallis H, Polasky S (2015) Towards integrated social–ecological sustainability indicators: exploring the contribution and gaps in existing global data. Ecol Econ 118:140–146

    Article  Google Scholar 

  20. Thursby M, Thursby JG, Haeussler C, Jiang L (2009) Do academic scientists share information with their colleagues? Not necessarily

  21. United Nations (2015a) Transforming our world: the 2030 agenda for sustainable development. resolution adopted by the general assembly on 25 September 2015, A/RES/70/1, 21 October

  22. United Nations (2015b) World Urbanization Prospects: the 2014 Revision. ST/ESA/SER.A/366, Department of economic and social affairs, Population division

  23. United Nations Global Pulse (2015) Big data for development in action: the global pulse project series. United Nations Global Pulse, New York

    Google Scholar 

  24. Van den Eynden V, Bishop L (2014) Sowing the seed: incentives and motivations for sharing research data, a researcher’s perspective. Knowledge exchange report

  25. World Bank (2015). World Bank Data. Sub-Saharan Africa (developing only). World Bank Group. http://data.worldbank.org/region/SSA. Accessed 10 Dec 2015

  26. Xu M, Cai H, Liang S (2015) Big data and industrial ecology. J Ind Ecol 19(2):205–210

    Article  Google Scholar 

  27. Yarime M, Tanaka Y (2012) The issues and methodologies in sustainability assessment tools for Higher Educational Institutions: a review of recent trends and future challenges. J Educ Sustain Dev 6(1):63–77

    Article  Google Scholar 

  28. Yarime M, Takeda Y, Kajikawa Y (2010) Towards institutional analysis of sustainability science: a quantitative examination of the patterns of research collaboration. Sustain Sci 5(1):115–125

    Article  Google Scholar 

  29. Yarime M, Trencher G, Mino T, Scholz RW, Olsson L, Ness B, Frantzeskaki N, Rotmans J (2012) Establishing sustainability science in higher education institutions: towards an integration of academic development, institutionalization, and stakeholder collaborations. Sustain Sci 7(Supplement 1):101–113

    Article  Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Masaru Yarime.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Yarime, M. Facilitating data-intensive approaches to innovation for sustainability: opportunities and challenges in building smart cities. Sustain Sci 12, 881–885 (2017). https://doi.org/10.1007/s11625-017-0498-1

Download citation

Keywords

  • Data-intensive approach
  • Smart city
  • Innovation
  • Open data
  • Sustainability