Since the Brundtland Report (1987), its definition has anchored sustainable development. An EBSCOhost co-mention scan (1987–2025) finds 259,112 records linking “sustainable development” with the Brundtland Report—used only as a descriptive attention proxy, sensitive to coverage, indexing, keywords, and residual duplicates. We then analyze concept-to-implementation barriers in building governance and propose an update pathway: explicit boundaries, minimum disclosures, and assurance logic. Yet in the built environment—characterized by long-lived assets, carbon lock-in, and net-zero commitments—the definition is difficult to operationalize without explicit boundaries, measurable indicators, and auditable trade-offs. We identify two concept-level weaknesses: (1) the definition reflects late-twentieth-century socio-technical conditions and offers limited guidance for practice shaped by digitalized delivery and operations, accelerated climate policy, and whole-life carbon accounting; and (2) its openness around “needs,” “harm,” and trade-offs enables boundary ambiguity (e.g., operational versus embodied emissions), fragmented standards and certifications, and greenwashing risks. We propose a built-environment update pathway that (i) operationalizes “needs” and “harm” through a minimum life-cycle indicator set linking affordability and occupant well-being with operational energy performance and whole-life carbon outcomes; and (ii) strengthens concept-consistent implementation via harmonized boundary declarations and verification principles across existing net-zero and green building tools, supported by targeted AEC capacity building.

The Frontal Area Index (FAI) is a commonly used, cost-effective preliminary screening tool for identifying the Least Cost Path (LCP) of urban ventilated corridors and mitigating the Urban Heat Island (UHI) effect, particularly in situations where data and budget availability are limited. Although its theoretical basis and simulation studies have been extensively examined, empirical validation through field measurements remains limited. This study assesses the FAI method’s applicability in two representative U.S. Midwest cities—St. Louis and Chicago—and proposes key modifications based on field-measurement validation. FAI simulations were conducted to identify optimal ventilation corridors, and the results were subsequently compared with in situ field measurements. Our findings indicated a strong correlation between FAI predictions and field data in St. Louis. In contrast, significant discrepancies were observed in Chicago, where simulated ventilation performance did not align with measured conditions, revealing the standard method’s limitations in complex urban topographies. To address these shortcomings, this study proposes four modifications to enhance the model’s accuracy for U.S. Midwest cities: (1) adjusting the model for varying urban morphologies, (2) limiting the calculation scope, (3) implementing a distinct approach for riverine areas, and (4) adopting a plot-based division for areas with large-scale buildings. This research verifies and refines the FAI method, creating a more reliable tool for diverse urban contexts. The optimized approach provides robust support for wind environment analysis, ventilation corridor planning, and UHI mitigation strategies.

With global warming intensifying, urban public spaces in cold-climate regions are increasingly exposed to heat beyond residents’ adaptive capacity. This study investigates whether smartphone use enhances thermal adaptation in Jingyue Central Park, Northeast China. A seven-day field campaign integrating microclimate monitoring and Passive Activity Observation (PAO) collected synchronized environmental and behavioral data. Results show that smartphone users had higher attendance and longer stays under high temperatures. Their Thermal Neutrality Threshold (NTT) and Critical Thermal Threshold (CTT) increased by about 2 °C and 3 °C, respectively, and up to 4.5 °C during optional activities, suggesting that voluntary media engagement improves heat tolerance and adaptive behavior. The study proposes mediated thermal adaptation to describe how digital media co-regulate environmental perception and adaptation. It extends thermal comfort research to cognitive-behavioral dimensions, links UTCI, NTT/CTT, and PAO data within one framework, and provides practical insights for optimizing thermal environments in cold-climate public spaces. Overall, the findings reveal the growing role of media-mediated behavior in enhancing human resilience to thermal stress.

Generative artificial intelligence (GenAI) can accelerate Building Information Modeling (BIM) and digital-twin workflows, but probabilistic outputs and manipulated inputs create data-integrity risks that conventional construction-software liability rules do not fully explain. This study develops a reproducible doctrinal and comparative-law method that maps the GenAI value chain onto the Architecture, Engineering, and Construction (AEC) lifecycle. Its principal advantage over single-actor product or professional-negligence analyses is a qualitative proportional-liability assessment framework that evaluates technical control, foreseeability, verification capacity, causal contribution, and evidence preservation across developers, deployers, and professional users. The analysis identifies the following two recurrent pathways of harm: autonomous hallucination entering safety-relevant design information and adversarial or erroneous data entering digital-twin feedback loops. It also specifies syntax, semantic, cybersecurity, and human-verification controls linked to AEC information-management and quality standards. The framework is not an empirically calibrated formula and does not determine legally binding percentages. Instead, it provides a transparent decision aid for applying existing tort doctrines and regulatory duties to distributed GenAI-enabled construction workflows.