Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/36369
Título: | An agent-based model as a tool of planning at a sub-regional scale |
Autor(es): | Fonseca, Fernando Pereira da Ramos, Rui A. R. Silva, Antônio Nélson Rodrigues da |
Palavras-chave: | Agent-based models Industrial estates Planning Territory |
Data: | 2014 |
Editora: | Springer International Publishing AG |
Revista: | Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Citação: | Fonseca, F., Ramos, R. A. R., & da Silva, A. N. R. (2014). An agent-based model to assess the attractiveness of industrial estates. JASSS, 18(4). doi: 10.18564/jasss.2893 |
Resumo(s): | This paper describes an agent-based model developed to simulate the impact that different planning policies may have in enhancing the attractiveness of the industrial estates located in a network of four municipalities located in the North of Portugal. The policies were simulated using three scenarios that can be distinguished by the municipal level of coordination they are implemented and by the type of action performed. In the model, enterprises are agents looking for a suitable location and the estates attractiveness is based on their level of facilities, amenities, accessibility and in the cost of soil. The coordinated qualification of the industrial estates is the most effective policy to strengthen their attractiveness. It was in this scenario that more industrial estates become attractive and more enterprises relocated. Results also indicate that the promotion of diffused and unqualified industrial estates is an inefficient policy to attract enterprises. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/36369 |
ISBN: | 9783319091280 |
DOI: | 10.1007/978-3-319-09129-7_44 |
ISSN: | 0302-9743 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | C-TAC - Capítulos/Artigos em Livros Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2065-ICSSA_2014.pdf | 1,42 MB | Adobe PDF | Ver/Abrir |