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TitleAn agent-based model to assess the attractiveness of industrial estates
Author(s)Fonseca, Fernando Pereira da
Ramos, Rui A. R.
Silva, António Nélson Rodrigues da
KeywordsAgent-based models
Industrial estates
Issue dateOct-2015
PublisherSimSoc Consortium
JournalJournal of Artificial Societies and Social Simulation
CitationFonseca F., Ramos R. A. R., silva R. A. N. An Agent-Based Model to Assess the Attractiveness of Industrial Estates, Journal of Artificial Societies and Social Simulation, Vol. 18, Issue 13, pp. 1-15, doi:10.18564/jasss.2893, 2015
Abstract(s)This article describes the main approaches adopted in a study focused on planning industrial estates on a sub-regional scale. The study was supported by an agent-based model, using firms as agents to assess the attractiveness of industrial estates. The simulation was made by the NetLogo toolkit and the environment represents a geographical space. Three scenarios and four hypotheses were used in the simulation to test the impact of different policies on the attractiveness of industrial estates. Policies were distinguished by the level of municipal coordination at which they were implemented and by the type of intervention. In the model, the attractiveness of industrial estates was based on the level of facilities, amenities, accessibility and on the price of land in each industrial estate. Firms are able to move and relocate whenever they find an attractive estate. The relocating firms were selected by their size, location and distance to an industrial estate. Results show that a coordinated policy among municipalities is the most efficient policy to promote advanced-qualified estates. In these scenarios, it was observed that more industrial estates became attractive, more firms were relocated and more vacant lots were occupied. Furthermore, the results also indicate that the promotion of widespread industrial estates with poor-quality infrastructures and amenities is an inefficient policy to attract firms.
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Appears in Collections:C-TAC - Artigos em Revistas Internacionais

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