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Can urban planners rely on Large Language Models? An ex-ploratory evaluation of four frontier models on two contested Greek masterplans
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An AI research paper on Can urban planners rely on Large Language Models? An ex-ploratory evaluation of four frontier models on two contested Greek masterplans.
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Original abstract
Can urban planners rely on Large Language Models? An exploratory evaluation of four frontier models on two contested Greek masterplans Supplementary materials Aristotelis Vartholomaios 1* and Dionysia Georgia Ch. Perperidou 2* 1. Department of Planning and Regional Development, University of Thessaly, Pedion Areos, 38334 Volos, Greece; avartholomaios@uth.gr2. Department of Surveying and Geoinformatics Engineering, University of West Attica, Egaleo Park, Ag. Spyridonos Str., 12243 Athens, Greece, dgperper@uniwa.gr This repository accompanies the study "Can urban planners rely on Large Language Models? An exploratory evaluation of four frontier models on two contested Greek masterplans". The study performed a structured prompt–response experiment: four frontier LLMs (Spring 2026: ChatGPT 5.4, Claude Opus 4.6, Gemini 3.0 Pro, Grok 4) were asked to appraise two contested Greek urban regeneration projects (Hellinikon, TIF-HELEXPO) under four prompt framings, yielding a 32-run matrix (2 cases x 4 prompts x 4 models). The repository contains every artefact produced in the study: the prompts as administered, the factsheets given to the models, the verbatim model responses, the validation rubrics, human validation and analysis outputs.
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