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2015 | OriginalPaper | Buchkapitel

7. Examining the Dynamics by Incorporating GIS Data with the CID-USST Model

verfasst von : Helin Liu, Elisabete A. Silva, Qian Wang

Erschienen in: Creative Industries and Urban Spatial Structure

Verlag: Springer International Publishing

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Abstract

The spatial environment of the CID-USST model is a highly abstract and simplified version of Nanjing. One obvious limitation resulting from this manipulation is that policy implications cannot be easily projected to real urban location. In practice, however, policy makers are keen to know exactly where to invest so as to optimise plan efficiency constrained by limited budget. In addition, it is also crucial to customise policies and adjust land-use plan accordingly locally referring the dynamics of the creative industries in different sites. Regarding this, this chapter illustrates a further development of the agent-based model “CID-USST” by incorporating GIS data. The goal is to facilitate urban policy makers to decide where to develop offices for the creative firms and housing for the creative workers once a comprehensive land-use plan is formally approved and to customise supportive/guiding policies locally.

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Literatur
Zurück zum Zitat Comunian R (2011) Rethinking the creative city: the role of complexity, networks and interactions in the urban creative economy. Urban Stud 48(6):1157–1179CrossRef Comunian R (2011) Rethinking the creative city: the role of complexity, networks and interactions in the urban creative economy. Urban Stud 48(6):1157–1179CrossRef
Zurück zum Zitat Crooks AT, Castle CJE (2012) The integration of agent-based modelling and geographical information for geospatial simulation. In: Heppenstall AJ, Crooks AT, Batty LMM (eds) Agent-based models of geographical systems. Springer, Dordrecht, pp 219–251CrossRef Crooks AT, Castle CJE (2012) The integration of agent-based modelling and geographical information for geospatial simulation. In: Heppenstall AJ, Crooks AT, Batty LMM (eds) Agent-based models of geographical systems. Springer, Dordrecht, pp 219–251CrossRef
Zurück zum Zitat Heywood DI, Cornelius S, Carver S (2011) An introduction to geographical information systems, 4th edn. Prentice Hall, Harlow Heywood DI, Cornelius S, Carver S (2011) An introduction to geographical information systems, 4th edn. Prentice Hall, Harlow
Zurück zum Zitat Westervelt JD (2002) Geographic information systems and agent-based modelling. In: Gimblett HR (ed) Integrating geographic information systems and agent-based modelling techniques for simulating social and ecological processes. Oxford University Press, Oxford, pp 83–104 Westervelt JD (2002) Geographic information systems and agent-based modelling. In: Gimblett HR (ed) Integrating geographic information systems and agent-based modelling techniques for simulating social and ecological processes. Oxford University Press, Oxford, pp 83–104
Zurück zum Zitat Wilensky U (1999) NetLogo. Center for connected learning and computer-based modeling. Northwestern University, Evanston Wilensky U (1999) NetLogo. Center for connected learning and computer-based modeling. Northwestern University, Evanston
Metadaten
Titel
Examining the Dynamics by Incorporating GIS Data with the CID-USST Model
verfasst von
Helin Liu
Elisabete A. Silva
Qian Wang
Copyright-Jahr
2015
Verlag
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-319-16610-0_7