1{2 "record_id": "036af7575382c2b07d715add3e591d6f0d1ad955",3 "eligible": false,4 "exclusion_reason": "Aggregate unit of analysis: cross-section of 985 Italian railway station areas; dependent variable is the average OMI (Osservatorio del Mercato Immobiliare) residential quotation in euro/m2 for the 1 km area around each station (mean ~1,280 euro/m2), regressed on station/municipal features and CFA latent constructs (Table 7, p. 11). No dwelling-level transactions and no property characteristic coefficients.",5 "study": {6 "title": "Modelling Real-Estate Values Around Railway Stations: Insights from an Italian Case",7 "year": 2026,8 "doi": "10.3390/su18052304",9 "country": "Italy",10 "region_city": "Nationwide (985 RFI railway stations)",11 "sample_start": null,12 "sample_end": null,13 "property_type": "unknown",14 "price_type": "appraisal",15 "data_source": "OMI Quotazioni Immobiliari (zone average residential prices), RFI station data, ISTAT municipal data",16 "document_type": "journal",17 "estimators": [18 "OLS"19 ],20 "spatial_method": "none",21 "time_fe": false,22 "location_fe": false,23 "se_type": "OLS",24 "n_obs_total": 985,25 "ai_methods": [],26 "notes": "Sustainability 2026, 18, 2304. MLR with latent variables from confirmatory factor analysis; adjusted R2 = 0.888, F(12,973)=651.5. OMI data accessed January 2025 (quotation period not stated). Kept qualitatively for transit accessibility capitalisation (station centrality, long-distance rail supply, shared mobility positive; car catchment negative)."27 },28 "models": [],29 "coefficients": []30}