Document Type

Article

Publication Date

2023

DOI

10.3390/land12050952

Publication Title

Land

Volume

12

Issue

5

Pages

952 (20 pp.)

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.

Rights

© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Data Availability

Article states not applicable.

Original Publication Citation

Tolk, A., Richkus, J. A., Shults, F. L., & Wildman, W. J. (2023). Computational decision support for socio-technical awareness of land-use planning under complexity—A dam resilience planning case study. Land, 12(5), Article 952. https://doi.org/10.3390/land12050952

ORCID

0000-0002-4201-8757 (Tolk)

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