Acknowledgements Nature4Cities project has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No. 730468.
References
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through coupling with the life cycle assessment framework: concept development and case
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2013.
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planning and design, Environ. Pollut., vol. 159, no. 8–9, pp. 1965–1973, 2011.
18. SUME, Urban Metabolism: Sustainable Urban Metabolism for Europe (SUME) Project website.
[Online]. Available: http://www.sume.at/urban_metabolism. [Accessed: 01-June-2017].
19. Beloin-Saint-Pierre D, et al., A review of urban metabolism studies to identify key
methodological choices for future harmonization and implementation, J. Clean. Prod., 2015.
20. Chaudhuri S, Dayal U, Narasayya V, An overview of business intelligence technology,
Commun. ACM, vol. 54, no. 8, p. 88, 2011.
21. Larson D, Chang V, A review and future direction of agile, business intelligence, analytics
and data science, Int. J. Inf. Manage., vol. 36, no. 5, pp. 700–710, 2016.
22. EC, INSPIRE Legislation, 2014. [Online]. Available: http://inspire.ec.europa.eu/index.cfm/
pageid/3. [Accessed: 01-Jul-2017].
23. BSI, BSI Standards Publication Smart city concept model—Guide to establishing a model for
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J. Ind. Ecology, 2011.
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Horizon 2020 research and innovation programme under grant agreement No. 730468.
References
1. UN, World Economic and Social Survey 2013. 2013.
2. UN Population Division, The World’s Cities in 2016: Data Booklet., p. 29, 2016.
3. EC and UN-Habitat, The State of European Cities 2016. 2016.
4. UNDESA, World Urbanization Prospects. 2014.
5. BRE, Cities as systems: BRE solutions for urban environments, 2015.
6. Keivani R, A review of the main challenges to urban sustainability, Int. J. Urban Sustain.
Dev., vol. 1, no. 1–2, pp. 5–16, 2010.
7. De Boissezon B, Smart and sustainable cities with nature-based solutions, no. September,
pp. 1–15, 2015.
8. Yeroyanni M, Commission E, Innovation Renaturing cities with nature based solutions
ENERO Workshop: Fostering future integration of Environment in European research &
innovation no. October, 2014.
9. European Commission, Towards an EU Research and Innovation policy agenda for
Nature-Based Solutions & Re-Naturing Cities. 2015.
10. Potschin M, Kretsch C, Haines-Young R, Furman E, Berry P, Baro F, Nature-based solutions,
OpenNESS Synth. Pap., no. 18, pp. 1–5, 2014.
11. Lee I.K, Cheong Gye Cheon Restoration Project, in ICLEI, 2006.
12. Naumann S, Kaphengst T, McFarland K, Stadler J, Nature-based Approaches to Climate
Change Mitigation and Adaption, pp. 1–27, 2014.
13. Yigitcanlar T, Dur F, Dizdaroglu D, Towards prosperous sustainable cities: A multiscalar
urban sustainability assessment approach, Habitat Int., vol. 45, no. P1, pp. 36–46, 2015.
14. Xing X, Jones P, Donnison I, Characterisation of Nature-Based Solutions for the Built
Environment, Sustainability, vol. 9, no. 1, Jan. 2017.
15. Goldstein G, Birkved M, Quitzau M.B, Hauschild M.Z, Quantification of urban metabolism
through coupling with the life cycle assessment framework: concept development and case
study, Environ. Res. Lett., vol. 8, p. 35024, 2013.
16. Chrysoulakis N, et al., Sustainable urban metabolism as a link between bio-physical sciences
and urban planning: The BRIDGE project, Landsc. Urban Plan., vol. 112, no. 1, pp. 100–117,
2013.
17. Kennedy C, Pincetl S, Bunje P, The study of urban metabolism and its applications to urban
planning and design, Environ. Pollut., vol. 159, no. 8–9, pp. 1965–1973, 2011.
18. SUME, Urban Metabolism: Sustainable Urban Metabolism for Europe (SUME) Project website.
[Online]. Available: http://www.sume.at/urban_metabolism. [Accessed: 01-June-2017].
19. Beloin-Saint-Pierre D, et al., A review of urban metabolism studies to identify key
methodological choices for future harmonization and implementation, J. Clean. Prod., 2015.
20. Chaudhuri S, Dayal U, Narasayya V, An overview of business intelligence technology,
Commun. ACM, vol. 54, no. 8, p. 88, 2011.
21. Larson D, Chang V, A review and future direction of agile, business intelligence, analytics
and data science, Int. J. Inf. Manage., vol. 36, no. 5, pp. 700–710, 2016.
22. EC, INSPIRE Legislation, 2014. [Online]. Available: http://inspire.ec.europa.eu/index.cfm/
pageid/3. [Accessed: 01-Jul-2017].
23. BSI, BSI Standards Publication Smart city concept model—Guide to establishing a model for
data interoperability, pp. 1–56, 2014.
24. Rapoport E, CastánBroto V, Allen A, Interdisciplinary Perspectives on Urban Metabolism,
J. Ind. Ecology, 2011.
304
D. Başoğlu et al.