Governance interactions of spatial data infrastructures: an agent-based modelling approach
| Autor: | Arnold K. Bregt, Jalal Samia, Jaap-Willem Sjoukema, Joep Crompvoets |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Technology
Process management 010504 meteorology & atmospheric sciences Computer science funding models 0211 other engineering and technologies 02 engineering and technology 01 natural sciences GeneralLiterature_MISCELLANEOUS Remote Sensing spatial data infrastructure (SDI) Laboratory of Geo-information Science and Remote Sensing Laboratorium voor Geo-informatiekunde en Remote Sensing Complex adaptive system Spatial analysis 021101 geological & geomatics engineering 0105 earth and related environmental sciences complex adaptive systems Governance Science & Technology Corporate governance PE&RC agent-based modelling Computer Science Applications Geography Physical Physical Geography Order (business) Physical Sciences General Earth and Planetary Sciences Software |
| Zdroj: | International Journal of Digital Earth 14 (2021) 6 International Journal of Digital Earth, 14(6), 696-713 |
| ISSN: | 1753-8947 |
| Popis: | In order to facilitate and coordinate spatial data sharing and exchange, many organisations have developed spatial data infrastructures (SDIs). SDI governance plays a pivotal role in the development and evolution of an SDI, but as SDIs are complex adaptive systems, governing is a challenge. This research therefore proposes a complexity perspective to SDI governance by exploring the use of agent-based modelling to simulate and examine SDI governance interactions. In this agent-based simulation, we examine interactions between SDI stakeholders, data availability and the effects of different governance styles (hierarchical, network and laissez-faire governance) and budget policies. The simulation shows that it is possible to mimic SDI governance dynamics through agent-based modelling. By running different scenarios, it appears that a network approach is more successful compared to a hierarchical or laissez-faire approach. Expert validation shows that overall the results of the simulation are credible and insightful, although improvements can be made to make the model more realistic. With agent-based modelling, SDI governance becomes more tangible and visible, which facilitates discussion and understanding. Agent-based modelling therefore appears to be a helpful new approach in a better understanding of the complexities and dynamics of SDI governance |
| Databáze: | OpenAIRE |
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