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Industrial Areas and the City. Equalization and Compensation in a Value-Oriented Allocation Pattern

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Computational Science and Its Applications -- ICCSA 2016 (ICCSA 2016)

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Abstract

This study deals with the allocation of the firms in a large industrial area of Quarto, a town in the Naples’ district subject to a “Piano di Insediamenti Industriali” – PIP (Industrial Settlement Masterplan). The main concern of the Municipality is the fair integration between environmental issues, economic development and urban identity. Therefore a structured evaluation process, based on a survey about the company profiles and their geographical location, has been carried out in order to make the plan meet the needs of the firms, and to select the best companies to settle in the planned area. A “generative” MAVT pattern has been designed to outline several layout options and to select the best ones. The model also includes equalization and compensation elements by whose means it is possible to determine the extraordinary planning permission fees for the different areas where the firms are located.

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Acknowledgements

The paper is based on documents of Quarto’s PIP drawn up by prof. C. Gasparrini (scientific advisor and project leader). The data have been provided or elaborated by: dott. A Corapi and R. Staffa (economic-productive data of the firms); the working group and the Municipality (data of the firms); F. Forte and. M. D’Amato (real estate market data). S. Giuffrida elaborated the economic and qualitative evaluation model. In the paper S. Giuffrida edited par. 3.1, 3.3, 4.1 and 5; G. Napoli edited par. 1, 4.1 and 4.2; M.R. Trovato edited par. 2, 3.2 and 4.1.

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Correspondence to Salvatore Giuffrida .

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Giuffrida, S., Napoli, G., Trovato, M.R. (2016). Industrial Areas and the City. Equalization and Compensation in a Value-Oriented Allocation Pattern. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9789. Springer, Cham. https://doi.org/10.1007/978-3-319-42089-9_6

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  • DOI: https://doi.org/10.1007/978-3-319-42089-9_6

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