Signal arXiv Preprint Proposes Spatial-Knowledge-Graph LLM Agents for Neighborhood Livability Evaluation
Summary
A preprint proposes a new method for evaluating neighborhood livability. The method uses LLM agents grounded in a spatial knowledge graph. The paper acknowledges that conventional livability indicators, such as facility proximity and street connectivity, are useful for describing available opportunities. It argues, however, that these indicators fail to capture how residents with differing mobility and household characteristics actually experience their neighborhoods. The proposed approach is presented as a way to address this gap.
Classification
Main topicAI & Computing
Secondary topicsCities & Housing
Region menusGlobal
Impactscope:global
Time horizon0-3 years (2026-08-28)
Last updated2026-09-25 22:32 KST
Evidence 1
- Spatial-Knowledge-Graph-Grounded LLM Agents for Neighborhood Livability Evaluation arXiv (cs.CY) 2026-08-26 accessed 2026-08-28T14:08:37+00:00
Part of trends 0
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Directly linked issues 0
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Public id: fm-e66bad284b93
