Huang, Sheng-Yang; Yanlin, Bao; (2025) Agricultural Urbanism Planning Agents. In: Architectural Informatics. Proceedings of the 30th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2025). (pp. pp. 243-252). Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)

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Abstract

This research employs Agent-Based Modelling (ABM) to assess the impact of land pricing policies on urban agricultural land fragmentation, focusing on enhancing Urban Agricultural productivity. Targeted at policymakers, the study provides a predictive tool for evaluating and managing urban land use, emphasising how land fragmentation influences agricultural productivity within urban settings. By simulating different land pricing strategies in Manchester through 2042, it illustrates the potential for tailored policy interventions to effectively manage land fragmentation. The study specifically compares two policy scenarios: one advocating for price increases in low land price areas in the north, and another enforcing price reductions in high land price areas in the south. Findings suggest that price increase policies may be more effective than price reduction policies in reducing agricultural land fragmentation. This methodological approach offers actionable insights for developing robust AU policies and highlights the adaptability of the model for application in various urban contexts globally, underlining the need for precise land management strategies to foster successful urban agriculture amidst complex urbanisation challenges.

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