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Definition methodology for the smart cities model

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  • Lazaroiu, George Cristian
  • Roscia, Mariacristina

Abstract

Nowadays, the large and small districts are proposing a new city model, called “the smart city”, which represents a community of average technology size, interconnected and sustainable, comfortable, attractive and secure. The landscape requirements and the solutions to local problems are the critical factors. The cities consume 75% of worldwide energy production and generate 80% of CO2 emissions. Thus, a sustainable urban model, “the smart city”, is sustained by the European Commission. In this paper, a model for computing “the smart city” indices is proposed. The chosen indicators are not homogeneous, and contain high amount of information. The paper deals with the computation of assigned weights for the considered indicators. The proposed approach uses a procedure based on fuzzy logic and defines a model that allows us to estimate “the smart city”, in order to access European funding. The proposed innovative system results in a more extended comprehension and simple use. Thus, the model could help in policy making process as starting point of discussion between stakeholders, as well as citizens in final decision of adoption measures and best evaluated options.

Suggested Citation

  • Lazaroiu, George Cristian & Roscia, Mariacristina, 2012. "Definition methodology for the smart cities model," Energy, Elsevier, vol. 47(1), pages 326-332.
  • Handle: RePEc:eee:energy:v:47:y:2012:i:1:p:326-332
    DOI: 10.1016/j.energy.2012.09.028
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    References listed on IDEAS

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    1. Gagliardi, Francesco & Roscia, Mariacristina & Lazaroiu, Gheorghe, 2007. "Evaluation of sustainability of a city through fuzzy logic," Energy, Elsevier, vol. 32(5), pages 795-802.
    2. Mathiesen, Brian Vad & Lund, Henrik & Karlsson, Kenneth, 2011. "100% Renewable energy systems, climate mitigation and economic growth," Applied Energy, Elsevier, vol. 88(2), pages 488-501, February.
    3. Lund, H. & Mathiesen, B.V., 2009. "Energy system analysis of 100% renewable energy systems—The case of Denmark in years 2030 and 2050," Energy, Elsevier, vol. 34(5), pages 524-531.
    4. Wang, Lei & Xu, Linyu & Song, Huimin, 2011. "Environmental performance evaluation of Beijing's energy use planning," Energy Policy, Elsevier, vol. 39(6), pages 3483-3495, June.
    5. Jovanovic, Marina & Afgan, Naim & Bakic, Vukman, 2010. "An analytical method for the measurement of energy system sustainability in urban areas," Energy, Elsevier, vol. 35(9), pages 3909-3920.
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