An Interactive Decision Support System for Analyzing Time Related Restrictions in Renaturation and Redevelopment Planning Projects
Yves Annanias, Christofer Meinecke, Daniel Wiegreffe
TL;DR
The paper tackles the challenge of renaturation and redevelopment planning under time-based legal restrictions embedded in large volumes of georeferenced but unstructured documents. It presents an interactive decision support system that extracts temporal constraints, links them to geospatial data using a Neo4j graph model, and delivers a multi-view visualization (maps and timeline) to plan, monitor, and verify compliance for new and existing projects. The approach enables polygon-based project planning, rapid overlap analysis, and temporal querying to time construction activities in accordance with breeding, pruning, and other restrictions, thereby expediting decision-making and reducing reliance on specialist memory. This has practical impact for regional planning (e.g., LMBV) by making regulatory knowledge explicit, searchable, and directly actionable in planning workflows.
Abstract
The operation of open-cast lignite mines is a large intervention in nature, making the areas uninhabitable even after closing the mines without renaturation processes. Renaturation of these large areas requires a regional planning process which is tied to many conditions and restrictions, such as environmental protection laws. The related information is available only as unstructured text in a variety of documents. Associated temporal aspects and the geographical borders to these textual information have to be linked manually so far. This process is highly time-consuming, error-prone, and tedious. Therefore, the knowledge of experts is often used, but this does not necessarily include all the relevant information. In this paper, we present a system to support the experts in decision-making of urban planning, renaturation, and redevelopment projects. The system allows to plan new projects, while considering spatial and temporal restrictions extracted from text documents. With this, our presented system can also be used to verify compliance with certain legal regulations, such as nature conservation laws.
