Simulating the dynamics between the development of creative industries and urban spatial structure: an agent-based model

Creative industries have been widely adopted to promote economy growth, urban regeneration and innovation. It is expected that this strategy can produce a sustainable development model. However, in reality it is not effective enough because the implemented policy based on linear analysis is misleading. This chapter aims to fill this gap by examining the dynamics among creative industries, urban land space and urban government from a complex systems’ view. It presents a general simulation framework and an agent-based model (named “CID-USST”) developed in NetLogo. This is a spatially explicit model where a simplified urban space is used to represent the real urban land space. The agents involved include the creative firms, the creative workers, and the urban government. The resulting urban spatial structure is examined from two aspects: the spatial density distribution and the spatial clustering pattern of both the creative firms and the creative workers.

[1]  R. Comunian Rethinking the Creative City , 2011 .

[2]  I. Mossig Regional Employment Growth in the Cultural and Creative Industries in Germany 2003–2008 , 2011 .

[3]  Wsd Wong,et al.  Statistical Analysis of Geographic Information with ArcView GIS And ArcGIS , 2005 .

[4]  G. Evans Measure for Measure: Evaluating the Evidence of Culture's Contribution to Regeneration , 2005, Culture-Led Urban Regeneration.

[5]  Elisabete A. Silva,et al.  Surveying Models in Urban Land Studies , 2012 .

[6]  Enrico Santarelli,et al.  Creative industries, new business formation, and regional economic growth , 2009 .

[7]  Andrew Crooks,et al.  The Integration of Agent-Based Modelling and Geographical Information for Geospatial Simulation , 2012 .

[8]  A. Pratt Urban Regeneration: From the Arts `Feel Good' Factor to the Cultural Economy: A Case Study of Hoxton, London , 2009 .

[9]  Takehiko Yasuda Firm Growth, Size, Age and Behavior in Japanese Manufacturing , 2005 .

[10]  R. Florida The Rise of the Creative Class : And How It's Transforming Work, Leisure, Community and Everyday Life , 2003 .

[11]  Andrew Crooks,et al.  Agent-based Models of Geographical Systems , 2012 .

[12]  Stuart D. Cunningham,et al.  Beyond the Creative Industries: Mapping the Creative Economy in the United Kingdom , 2008 .

[13]  J. O’Connor The cultural and creative industries: a review of the literature , 2007 .

[14]  E. Stam,et al.  Creative industries in the netherlands: structure, development, innovativeness and effects on urban growth , 2008 .

[15]  J. Foord Strategies for creative industries: an international review , 2009 .

[16]  Charles Landry,et al.  The creative city : a toolkit for urban innovators , 2012 .

[17]  Elisabete A. Silva,et al.  Artificial Intelligence Solutions for Urban Land Dynamics: A Review , 2010 .

[18]  Liao Kuixing New Localization of the Role of the Government in the Period of the "Twelfth Five-Year Plan" , 2010 .

[19]  Andrew Crooks,et al.  Introduction to Agent-Based Modelling , 2012 .

[20]  A. Scott Entrepreneurship, Innovation and Industrial Development: Geography and the Creative Field Revisited , 2006 .