ABSTRACT

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.

摘要

为了促进和协调空间数据的共享和交换，许多组织已经开发了空间数据基础结构（SDI）。SDI治理在SDI的发展和演进中起着举足轻重的作用，但是由于SDI是复杂的自适应系统，因此治理是一个挑战。因此，本研究通过探索使用基于代理的模型来模拟和检查SDI治理交互，提出了SDI治理的复杂性观点。在此基于代理的模拟中，我们检查了SDI利益相关者，数据可用性以及不同治理样式（分层，网络和自由放任治理）和预算策略之间的相互作用。仿真表明，可以通过基于代理的建模来模仿SDI治理动态。通过运行不同的场景，与分层或自由放任的方法相比，网络方法似乎更为成功。专家验证显示，尽管可以进行改进以使模型更逼真，但总体而言，模拟结果是可信且有见地的。通过基于代理的建模，SDI治理变得更加有形和可见，从而促进了讨论和理解。因此，在更好地了解SDI治理的复杂性和动态性方面，基于代理的建模似乎是一种有用的新方法。这有助于讨论和理解。因此，在更好地了解SDI治理的复杂性和动态性方面，基于代理的建模似乎是一种有用的新方法。这有助于讨论和理解。因此，在更好地了解SDI治理的复杂性和动态性方面，基于代理的建模似乎是一种有用的新方法。