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<p>Jordan’s construction sector is strategically important but digitally immature, with fragmented data, isolated AI–BIM pilots and weak alignment between education, policy and industry. This paper develops a phased roadmap for AI‑enabled BIM and Digital Twins (DTs) in Jordan’s construction sector using a design‑science approach. A targeted, PRISMA‑informed synthesis of 56 curated studies is combined with ten semi‑structured interviews with experienced Jordanian practitioners. The resulting three‑phase roadmap (0–2, 2–5, 5–10 years) is structured around five pillars: (1) data and BIM/DT infrastructure; (2) priority AI applications (risk, energy, as‑is modelling, project analytics); (3) circular‑economy and material‑passport initiatives; (4) Education 4.0 and capacity building; and (5) governance, procurement and collaboration. A four‑layer AI–BIM–DT architecture stack and a KPI/feasibility toolkit operationalize the roadmap. An occupant‑centric AI–BIM energy pilot in Jordan (≈ 10–18% RMSE reduction) anchors performance targets, while interviews underline low digital maturity, skills gaps and the need for government‑led standards, funding and training centers. By 2030, the roadmap sets indicative targets of 10–20% reductions in energy model RMSE in pilot portfolios and operational DT coverage for at least 60% of a defined set of priority public assets (large public buildings and key highway segments designated by the responsible ministries), providing a structured template that can be adapted and tested in comparable emerging‑economy contexts.</p>

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A phased roadmap for AI‑enabled BIM and digital twins in Jordan’s construction sector

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月20日

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  • Mohammed A. KA. Al-Btoush,
  • Ja’far A. Aldiabat Al-Btoosh,
  • Omar Al-Omari,
  • Imad Al Shalout,
  • Taiseer Mustafa Rawashdeh

摘要

Jordan’s construction sector is strategically important but digitally immature, with fragmented data, isolated AI–BIM pilots and weak alignment between education, policy and industry. This paper develops a phased roadmap for AI‑enabled BIM and Digital Twins (DTs) in Jordan’s construction sector using a design‑science approach. A targeted, PRISMA‑informed synthesis of 56 curated studies is combined with ten semi‑structured interviews with experienced Jordanian practitioners. The resulting three‑phase roadmap (0–2, 2–5, 5–10 years) is structured around five pillars: (1) data and BIM/DT infrastructure; (2) priority AI applications (risk, energy, as‑is modelling, project analytics); (3) circular‑economy and material‑passport initiatives; (4) Education 4.0 and capacity building; and (5) governance, procurement and collaboration. A four‑layer AI–BIM–DT architecture stack and a KPI/feasibility toolkit operationalize the roadmap. An occupant‑centric AI–BIM energy pilot in Jordan (≈ 10–18% RMSE reduction) anchors performance targets, while interviews underline low digital maturity, skills gaps and the need for government‑led standards, funding and training centers. By 2030, the roadmap sets indicative targets of 10–20% reductions in energy model RMSE in pilot portfolios and operational DT coverage for at least 60% of a defined set of priority public assets (large public buildings and key highway segments designated by the responsible ministries), providing a structured template that can be adapted and tested in comparable emerging‑economy contexts.