{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T20:53:12Z","timestamp":1769287992685,"version":"3.49.0"},"reference-count":88,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T00:00:00Z","timestamp":1769126400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Australia\u2019s National Housing Accord aims to deliver 1.2 million new dwellings between mid-2024 and mid-2029, representing 240,000 annual completions\u2014a 37% increase above the 2024 baseline of 175,000. This study employs a comprehensive system dynamics model with 79 equations (10 stocks, 69 auxiliary variables) to analyze whether this target is structurally achievable, given construction industry capacity constraints. The model integrates builder population dynamics, workforce capacity, construction cost inflation, material supply constraints, and financial market conditions across a ten-year simulation horizon (2024.5\u20132035). Three policy scenarios test the effectiveness of interventions, including capacity expansion (\u00b110\u201315%), cost inflation management (\u00b115\u201320%), planning reforms (+5\u201315% efficiency), and workforce development programs (+1000\u20134000 annual graduates). Model validation against Australian Bureau of Statistics data from 2015 to 2024 demonstrates strong empirical foundations. Results show that structural capacity constraints\u2014driven by three simultaneous bottlenecks in material supply, workforce availability, and financing\u2014create a supply ceiling of around 180,000\u2013195,000 annual completions. Even under optimistic policy assumptions, the model projects cumulative completions of 880,000\u2013920,000 dwellings over the Accord period, falling 23\u201327% short of the 1.2 million target. Critical findings include the following: (1) builder insolvencies exceeding entry rates by 15\u201325% annually under stress conditions, (2) capacity decline trends of 0.6\u20130.8% per year due to productivity losses, infrastructure bottlenecks, and regulatory burden, (3) system efficiency degradation from 100% to 96% over the projection period, and (4) non-linear capacity utilization, showing saturation above 82% baseline levels. The analysis reveals that demand-side policies cannot overcome supply-side structural limits, suggesting that policymakers must either substantially reduce targets or implement transformative capacity-building interventions beyond current policy contemplation.<\/jats:p>","DOI":"10.3390\/systems14020119","type":"journal-article","created":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T10:41:34Z","timestamp":1769164894000},"page":"119","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Structural Capacity Constraints in Australia\u2019s Housing Crisis: A System Dynamics Analysis of the National Housing Accord\u2019s Unachievable Targets"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1067-483X","authenticated-orcid":false,"given":"Gavin","family":"Melles","sequence":"first","affiliation":[{"name":"Faculty of Architecture and Industrial Design, Swinburne University, Hawthorn 3022, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,1,23]]},"reference":[{"key":"ref_1","unstructured":"Yates, J. 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