Incorporating GIS data into an agent-based model to support planning policy making for the development of creative industries

Authored by Qian Wang, Helin Liu, Elisabete A Silva

Date Published: 2016

DOI: 10.1007/s10109-016-0229-7

Sponsors: No sponsors listed

Platforms: NetLogo

Model Documentation: Other Narrative

Model Code URLs: Model code not found

Abstract

This paper presents an extension to the agent-based model ``Creative Industries Development-Urban Spatial Structure Transformation{''} by incorporating GIS data. Three agent classes, creative firms, creative workers and urban government, are considered in the model, and the spatial environment represents a set of GIS data layers (i.e. road network, key housing areas, land use). With the goal to facilitate urban policy makers to draw up policies locally and optimise the land use assignment in order to support the development of creative industries, the improved model exhibited its capacity to assist the policy makers conducting experiments and simulating different policy scenarios to see the corresponding dynamics of the spatial distributions of creative firms and creative workers across time within a city/district. The spatiotemporal graphs and maps record the simulation results and can be used as a reference by the policy makers to adjust land use plans adaptively at different stages of the creative industries' development process.

Tags

knowledge growth Economy City Urban land Regeneration