Fioretti, Guido (2010): Trajectories in Physical Space out of Communications in Acquaintance Space: An Agent-Based Model of a Textile Industrial District.
Preview |
PDF
MPRA_paper_24902.pdf Download (833kB) | Preview |
Abstract
This article presents an agent-based model of an Italian textile district where thousands of small firms specialize in particular phases of fabrics production. It is an empirical and methodological model that reconstructs the communications between firms when they arrange production chains. In their turn, production chains reflect into road traffic in the geographical areas where the district extends. The reconstructed traffic exhibits a pattern that has been observed, but not foreseen, by policy makers.
Item Type: | MPRA Paper |
---|---|
Original Title: | Trajectories in Physical Space out of Communications in Acquaintance Space: An Agent-Based Model of a Textile Industrial District |
Language: | English |
Keywords: | Time-Geography, Agent-Based Models, Prato |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C69 - Other R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R3 - Real Estate Markets, Spatial Production Analysis, and Firm Location > R39 - Other D - Microeconomics > D2 - Production and Organizations > D29 - Other R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R4 - Transportation Economics > R41 - Transportation: Demand, Supply, and Congestion ; Travel Time ; Safety and Accidents ; Transportation Noise |
Item ID: | 24902 |
Depositing User: | Guido Fioretti |
Date Deposited: | 11 Sep 2010 09:58 |
Last Modified: | 03 Oct 2019 08:30 |
References: | [1] Paul C. Adams. A reconsideration of personal boundaries in space-time. Annals of the Association of American Geography, 85(2):267–285, 1995. [2] Paul C. Adams. Application of a cad-based accessibility model. In Donald G. Janelle and David C. Hodge, editors, Information, Place, and Cyberspace, chapter XIII, pages 217–239. Springer, Berlin, 2000. [3] John Anderson. Providing a broad spectrum of agents in spatially explicit simulation models: The gensim approach. In Randy Gimblett, editor, Integrating Geographic Information Systems and Agent-Based Modeling Techniques, chapter II, pages 21–58. Oxford University Press, Oxford, 2002. [4] Ezio Avigdor. L’industria tessile a Prato. Feltrinelli, Milan, 1961. [5] Michael Batty. Cities and Complexity. The MIT Press, Cambridge (MA), 2005. [6] Michael Batty and Yichun Xie. Urban growth using cellular automata models. In David J. Maguire, Michael Batty, and Michael F. Goodchild, editors, GIS, Spatial Analysis, and Modeling, chapter VIII, pages 151–172. ESRI Press, Redlands, 2005. [7] Giacomo Becattini. The marshallian industrial district as a socio-economic notion. In Frank Pyke, Giacomo Becattini, and Werner Sengenberger, editors, Industrial districts and inter-firm co-operation in Italy, chapter IV, pages 37–51. International Institute for Labour Studies, Geneva, 1990. [8] Niels Beerepoot. Collective learning by artisanal subcontractors in a philippine furniture cluster. Tijdschrift voor Economische en Sociale Geografie, 96(5):573– 584, 2005. [9] Eric Bonabeau. Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences of the United States of America, 99(10):7280–7287, 2002. [10] Ron A. Boschma and Jan G. Lambooy. Knowledge, market structure, and economic coordination: Dynamics of industrial districts. Growth and Change, 33(3):291–311, 2002. [11] Ron A. Boschma and Anne L.J. ter Wal. Knowledge networks and innovative performance in an industrial district: The case of a footwear district in the south of italy. Industry and Innovation, 14(2):177–199, 2007. [12] Stefano Breschi and Francesco Lissoni. Localised knowledge spillovers vs. innovative milieux: Knowledge “tacitness” reconsidered. Papers in Regional Science, 80(3):255–273, 2001. [13] Francesco Brioschi, Maria S. Brioschi, and Giulio Cainelli. Ownership linkages and business groups in industrial districts: The case of emilia-romagna. In Giulio Cainelli and Roberto Zoboli, editors, The Evolution of Industrial Districts: Changing governance, innovation and internationalization of local capitalism in Italy, chapter VII, pages 155–174. Physica-Verlag, Heidelberg, 2004. [14] Daniel G. Brown, Scott Page, Rick Riolo, Moira Zellner, and William Rand. Path dependence and the validation of agent-based spatial models of land use. International Journal of Geographical Information Science, 19(2):153–174, 2005. [15] Daniel G. Brown, Rick Riolo, Derek T. Robinson, Michael North, and William Rand. Spatial process and data models: Toward integration of agent-based models and gis. Journal of Geographical Systems, 7(1):25–47, 2005. [16] Giulio Cainelli, Donato Iacobucci, and Enrica Morganti. Spatial agglomeration and business groups: New evidence from italian industrial districts. Regional Studies, 40(5):507–518, 2006. [17] Elisabetta Cioni. Lo sviluppo del lavoro autonomo a prato nel secondo dopoguerra (1945–1952). In Giacomo Becattini and Fernand Braudel, editors, Prato, Storia di una Citt` , volume 4, chapter VII, pages 241–268. Le Monnier, Florence, 1997. [18] Giancarlo Cor` and Roberto Grandinetti. Evolutionary patterns of italian industrial districts. Human Systems Management, 18(2):117–129, 1999. [18] Giancarlo Corò and Roberto Grandinetti. Evolutionary patterns of italian industrial districts. Human Systems Management, 18(2):117–129, 1999. [19] Andrew Crooks, Christian Castle, and Michael Batty. Key challenges in agent-based modelling for geospatial simulation. Computers, Environment and Urban Systems, 32(6):417–430, 2008. [20] Provincia di Prato. Piano territoriale di coordinamento: Relazione di sintesi, 2003. Available at < http : //mapserver.provincia.prato.it/ >. [21] Catherine Dibble and Philip G. Feldman. The geograph 3d computational laboratory: Network and terrain landscapes for repast. Journal of Artificial Societies and Social Simulation, 7(1), 2004. Available at < http://jass.soc.surrey.ac.uk/7/1/7.html>. [22] Peter Dicken and Anders Malmberg. Firms in territories: A relational perspective. Economic Geography, 77(4):345–363, 2001. [23] Scott M. Duke-Sylvester. Integrating spatial data into an agent-based modeling system: Ideas and lessons from the development of the across-trophic-level system simulation. In Randy Gimblett, editor, Integrating Geographic Information Systems and Agent-Based Modeling Techniques, chapter VI, pages 125–136. Oxford University Press, Oxford, 2002. [24] Joshua M. Epstein. Agent-based computational models and generative social science. Complexity, 4(5):41–60, 1999. [25] Olivier Barreteau et al. Our companion modelling approach. Journal of Artificial Societies and Social Simulation, 6(1), 2003. Available at < http:// jass.soc.surrey.ac.uk/6/2/1.html >. [26] Guido Fioretti. Information structure and behaviour of a textile industrial district. Journal of Artificial Societies and Social Simulation, 4(4), 2001. Available at < http : //jass.soc.surrey.ac.uk/4/4/1.html >. [27] Guido Fioretti. Agent-based models of industrial clusters and districts. In Albert Tavidze, editor, Progress in Economics Research, volume 9, chapter VII, pages 171–192. Nova Science Publishers, New York, 2006. [28] Pip Forer and Otto Huisman. Space, time and sequencing: Substitution at the physical/virtual interface. In Donald G. Janelle and David C. Hodge, editors, Information, Place, and Cyberspace, chapter V, pages 73–90. Springer, Berlin, 2000. [29] Dario Gaggio. Pyramids of trust: Social embeddedness and political culture in two italian gold jewelry districts. Enterprise and Society, 7(1):19–58, 2006. [30] Elisa Giuliani and Martin Bell. The micro-determinants of meso-level learning and innovation: Evidence from a chilean wine cluster. Research Policy, 34(1):47–68, 2005. [31] Michael F. Goodchild. Gis and transportation: Status and challenges. GeoInformatica, 4(2):127–139, 2000. [32] Dominique Gross and Roger Strand. Can agent-based models assist decisions on large-scale practical problems? a philosophical analysis. Complexity, 5(6):26–33, 2000. [33] Torsten Hagerstrand. What about people in regional science? Papers in Regional Science, 24(1):6–21, 1970. [34] Torsten Hagerstrand. Diorama, path and project. Tijdschrift voor Economische en Sociale Geografie, 73(6):323–339, 1982. [35] Torsten Hagerstrand. Time-geography: Focus on the corporeality of man, society, and environment. In Shuhei Aida, editor, The Science and Praxis of Complexity, chapter ???????, pages 193–216. The United Nations University, Tokyo, 1985. [36] Bennett Harrison. The italian industrial districts and the crisis of the cooperative form. European Planning Studies, 2(1, 2):1–22, 159–174, 1994. [37] Kathleen Hornsby and Max J. Egenhofer. Modeling moving objects over multiple granularities. Annals of Mathematics and Artificial Intelligence, 36(1-2):177–194, 2002. [38] Donald G. Janelle. Measuring human extensibility in a shrinking world. The Journal of Geography, 72(5):8–15, 1973. [39] Bin Jiang and Randy Gimblett. An agent-based approach to environmental and urban systems within geographic information systems. In Randy Gimblett, editor, Integrating Geographic Information Systems and Agent-Based Modeling Tech niques, chapter VIII, pages 171–189. Oxford University Press, Oxford, 2002. [40] Sue-Ching Jou and Dung-Sheng Chen. Keeping the high-tech region open and dynamic: The organizational networks of taiwan’s integrated circuit industry. GeoJournal, 58(1):81–87, 2001. [41] Hyun-Mi Kim and Mei-Po Kwan. Space-time accessibility measures: A geocomputational algorithm with a focus on the feasible opportunity set and possible activity duration. Journal of Geographical Systems, 5(1):71–91, 2003. [42] Mei-Po Kwan. Human extensibility and individual hybrid-accessibility in space-time: A multi-scale representation using gis. In Donald G. Janelle and David C. Hodge, editors, Information, Place, and Cyberspace, chapter XIV, pages 241– 256. Springer, Berlin, 2000. [43] Mei-Po Kwan. Gis methods in time-geographic research: Geocomputation and geovisualization of human activity patterns. Geografiska Annaler B, 86(4):267–280, 2004. [44] Mei-Po Kwan and Joe Weber. Individual accessibility revisited: Implications for geographical analysis in the twenty-first century. Geographical Analysis, 35(4):341–353, 2003. [45] Patrizia Lattarulo. Logistica e trasporti nel distretto di Prato. Franco Angeli, Milan, 2001. [46] Patrick Laube, Todd Dennis, Pip Forer, and Mike Walker. Movement beyond the snapshot ― dynamic analysis of geospatial lifelines. Computers, Environment and Urban Systems, 31(5):481–501, 2007. [47] Patrick Laube, Stephan Imfeld, and Robert Weibel. Discovering relative motion patterns in groups of moving point objects. International Journal of Geographical Information Science, 19(6):639–668, 2005. [48] Patrick Laube and Ross S. Purves. An approach to evaluating motion pattern detection techniques in spatio-temporal data. Computers, Environment and Urban Systems, 30(3):347–374, 2006. [49] Mark Lazerson and Gianni Lorenzoni. The firms that feed industrial districts: A return to the italian source. Industrial and Corporate Change, 8(2):361–266, 1999. [50] Mark Lazerson and Gianni Lorenzoni. Resisting organizational inertia: The evolution of industrial districts. Journal of Management and Governance, 3(4):361– 377, 1999. [51] Bo Lenntorp. Time-geography ― at the end of its beginning. GeoJournal, 48(3):155–158, 1999. [52] Anders Malmberg and Peter Maskell. The elusive concept of localization economies: Towards a knowledge-based theory of spatial clustering. Environment and Planning A, 34(3):429–449, 2002. [53] Eleonora Di Maria and Stefano Micelli. District leaders as open networks: Emerging business strategies in italian industrial districts. Technical Report 38, Universita degli Studi di Padova, Dipartimento di Scienze Economiche “Marco Fanno”, 2007. [54] Alfred Marshall. Principles of Economics, chapter X. MacMillan, London, 1890. [55] Peter Maskell and Anders Malmberg. The competitiveness of firms and regions: ‘ubiquitification’ and the importance of localized learning. European urban and Regional Studies, 6(1):9–25, 1999. [56] Peter Maskell and Anders Malmberg. Localised learning and industrial competitiveness. Cambridge Journal of Economics, 23(2):167–185, 1999. [57] Harvey J. Miller. Modelling accessibility using space-time prisms concepts within geographical information systems. International Journal of Geographical Information Systems, 5(3):287–301, 1991. [58] Harvey J. Miller. A measurement theory for time geography. Geographical Analysis, 37(1):17–45, 2005. [59] Harvey J. Miller. What about people in geographic information science? In Peter Fisher and David Unwin, editors, Re-Presenting GIS, chapter XVI, pages 215–242. John Wiley & Sons, New York, 2005. [60] Andrea Morrison. Gatekeepers of knowledge within industrial districts: Who they are, how they interact. Regional Studies, 42(6):817–835, 2008. [61] Tijs Neutens, Frank Witlox, Nico Van De Weghe, and Philippe De Maeyer. Space-time opportunities for multiple agents: A constraint-based approach. International Journal of Geographical Information Science, 21(10):1061–1076, 2007. [62] Gabi Dei Ottati. Economic changes in the district of prato in the 1980s: Towards a more conscious and organized industrial district. European Planning Studies, 4(1):35–52, 1996. [63] Jason Owen-Smith and Walter W. Powell. Knowledge networks as channels and conduits: The effects of spillovers in the boston biotechnology community. Organization Science, 15(1):5–21, 2004. [64] Dawn C. Parker. Integration of geographic information systems and agent-based models of land use: Prospects and challenges. In David J. Maguire, Michael Batty, and Michael F. Goodchild, editors, GIS, Spatial Analysis, and Modeling, chapter XIX, pages 403–422. ESRI Press, Redlands, 2005. [65] Nicholas A. Phelps and Terutomo Ozawa. Contrasts in agglomeration: Proto-industrial, industrial and post-industrial forms compared. Progress in Human Geography, 27(5):583–604, 2003. [66] Allan Pred. The choreography of existence: Comments on Hagerstrand time-geography and its usefulness. Economic Geography, 53(2):207–221, 1977. [67] Allan Pred. Social reproduction and the time-geography of everyday life. Geografiska Annaler B, 63(1):5–22, 1981. [68] Roberta Rabellotti. Collective effects in italian and mexican footwear industrial clusters. Small Business Economics, 10(3):243–262, 1998. [69] Jonathan Raper and David Livingstone. Development of a geomorphological spatial model using object-oriented design. International Journal of Geographical Information Systems, 9(4):359–383, 1995. [70] Martin Raubal, Harvey J. Miller, and Scott Bridwell. User-centred time geography for location-based services. Geografiska Annaler B, 86(4):245–265, 2004. [71] Nigel J. Thrift. An Introduction to Time Geography, volume 13 of Concepts and Techniques in Modern Geography. Geo Abstracts Ltd., Norwich, 1977. [72] Joe Weber and Mei-Po Kwan. Bringing time back in: A study on the influence of travel time variations and facility opening hours on individual accessibility. The Professional Geographer, 54(2):226–240, 2002. [72] Joe Weber and Mei-Po Kwan. Bringing time back in: A study on the influence of travel time variations and facility opening hours on individual accessibility. The Professional Geographer, 54(2):226–240, 2002. [73] James D. Westervelt. Geographic information systems and agent-based modeling. In Randy Gimblett, editor, Integrating Geographic Information Systems and Agent-Based Modeling Techniques, chapter IV, pages 83–103. Oxford University Press, Oxford, 2002. [74] James D. Westervelt and Lewis D. Hopkins. Modeling mobile individuals in dynamic landscapes. International Journal of Geographical Information Science, 13(3):191–208, 1999. [75] Josh Whitford. The decline of a model? challenge and response in the italian industrial districts. Economy and Society, 30(1):38–65, 2001. [76] Michael Worboys and Kathleen Hornsby. From objects to events: Gem, the geospatial event model. In Max J. Egenhofer, Christiam Freska, and Harvey J. Miller, editors, GIScience 2004, Lecture Notes in Computer Science, chapter XXII, pages 327–344. Springer, Berlin, 2004. [77] Michael F. Worboys. A unified model for spatial and temporal information. The Computer Journal, 37(1):26–34, 1994. [78] Yi-Hwa Wu and Harvey J. Miller. Computational tools for measuring space-time accessibility within dynamic flow transportation networks. Journal of Transportation and Statistics, 4(2-3), 2001. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/24902 |