Abstract
The sustainable development of transport systems has generated particular interest within the initiatives in the field of ‘smart cities’. This paper is part of current approaches to smart cities benchmarking and it focuses on the definition of a quantitative methodology, capable to evaluate urban mobility through a synthetic indicator of mobility. In this work, we propose a valid method for any city in the world, although its application focuses on the Italian context. This is because this paper shows a first phase of a broader research.
C. Garau, F. Masala, and F. Pinna—This paper is the result of the joint work of the authors. In particular, paragraphs 2.1; 4 and 2.2.3 have been jointly written by the authors. Chiara Garau has written paragraphs 1 and 3. Francesco Pinna has written paragraphs 2; 2.2 and 2.2.1 and Francesca Masala has written paragraph 2.2.2. Chiara Garau and Francesco Pinna have revised the whole paper and checked for its comprehensive consistency.
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Garau, C., Masala, F., Pinna, F. (2015). Benchmarking Smart Urban Mobility: A Study on Italian Cities. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9156. Springer, Cham. https://doi.org/10.1007/978-3-319-21407-8_43
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DOI: https://doi.org/10.1007/978-3-319-21407-8_43
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