LLM-Assisted Multi-Actor Scenario Reasoning for Funeral-Service Facility Relocation from a Spatial Justice Perspective: The Xihuayuan–Haping Road Case in Harbin, China

Funeral-service facility relocation redistributes spatial burdens and public benefits among origin-site residents, destination communities, service users, and the wider public. Using the Xihuayuan–Haping Road relocation in Harbin, China, this study applies an LLM-assisted multi-actor scenario reasoning framework, operationalized as a structured comparative scenario analysis, to examine relocation governance from a spatial justice perspective. Six governance variables were organized into a 36 full-factorial design, producing 729 scenarios. Each scenario was generated through a six-actor, six-stage LLM interaction and assessed by a separate standardized post-simulation LLM evaluation for NIMBY conflict intensity, relocation progress, resident acceptance, and spatial justice. The results show that new-site burden fairness produced the largest reduction in conflict intensity and the strongest improvement in resident acceptance, whereas siting-process transparency showed the largest improvement in relocation progress and spatial justice. Repeated runs of nine typical configurations and one case-approximate configuration showed point-score variation but retained the broad contrast between weaker and stronger governance conditions. The case-based findings indicate that relocation planning should combine burden fairness, procedural transparency, psychological buffering, service continuity, and public return rather than rely on technical compliance or site-selection standards alone.