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Title Planning smart cities: Comparison of two quantitative multicriteria methods applied to real case studies
ID_Doc 40262
Authors Mattoni, B; Pompei, L; Losilla, JC; Bisegna, F
Title Planning smart cities: Comparison of two quantitative multicriteria methods applied to real case studies
Year 2020
Published
DOI 10.1016/j.scs.2020.102249
Abstract Today, cities are facing many challenges such as pollution, resource consumption, gas emissions and social inequality. Many future city views have been developed to solve these issues such as the Smart City model. In literature several methods have been proposed to plan a Smart city, but, at the best of the authors' knowledge, only a few of them have been really applied to the urban context. Most of them are indeed theoretical and qualitative approaches, providing scenarios that have not been applied to real cities/districts. Moreover, a comparison among the results of different quantitative planning models applied to real case studies is still missing. In this framework, the aim of the paper is to propose a new quantitative method based on a previous qualitative model developed by the same authors. The feasibility and validity of the method will be tested through the comparison with an existing AHP model and the application of both approaches on two real case studies, characterized by different territorial levels. Results of the analysis show that both methods are consistent, reliable and do provide similar results despite the differences in the application process.
Author Keywords Smart city; Planning methodology; Multicriteria analysis; Smart district; Smart building
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000567501500008
WoS Category Construction & Building Technology; Green & Sustainable Science & Technology; Energy & Fuels
Research Area Construction & Building Technology; Science & Technology - Other Topics; Energy & Fuels
PDF https://iris.uniroma1.it/bitstream/11573/1424710/1/Mattoni_Planning_Pre%20print_2020.pdf
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