Computational Decision Support for Socio-Technical Awareness of Land-Use Planning under Complexity—A Dam Resilience Planning Case Study

Andreas Tolk (), Jennifer A. Richkus, F. LeRon Shults and Wesley J. Wildman
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Andreas Tolk: The MITRE Corporation, Charlottesville, VA 22911, USA
Jennifer A. Richkus: The MITRE Corporation, McLean, VA 22102, USA
F. LeRon Shults: Institute for Global Development and Planning, University of Agder, 4630 Kristiansand, Norway
Wesley J. Wildman: Institute for Global Development and Planning, University of Agder, 4630 Kristiansand, Norway

Land, 2023, vol. 12, issue 5, 1-20

Abstract: Land-use planning for modern societies requires technical competence as well as social competence. We therefore propose an integrative solution enabling better land-use planning and management through better-informed decision-making. We adapt a method developed for cross-disciplinary team building to identify the stakeholders and their various objectives and value systems. We use these results to populate artificial societies embedded into a dynamic data analytics framework as a tool to identify, explore, and visualize the challenges resulting from the different objectives and value systems in land-use planning and management. To prove the feasibility of the proposed solution, we present two use cases from the dam resilience planning domain, show how to apply the process and tools, and present the results. The solution is not limited to such use cases but can be generalized to address challenges in socio-technical systems, such as water resource evaluations or climate change effects.

Keywords: artificial society; complex systems; decision support; social competence (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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