ArticleScientific reports2026
The nonlinear relationship between urban design form and energy efficiency.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Optimizing urban form is a critical pathway for achieving low-carbon development, yet existing research often relies on linear assumptions, failing to capture the complex, stage-dependent dynamics of urban systems. This study constructs an Integrated Urban Form Index based on multidimensional indicators—compactness, connectivity, and complexity—and employs econometric models to investigate the non-linear impact of urban form on Total Factor Energy Efficiency. Empirical results confirm that the relationship follows a distinct S-shaped trajectory characterized by threshold effects, rather than a simple linear progression. The evolution of urban form is delineated into three dynamic regimes: a latent stage with limited impact, an acceleration stage with increasing marginal returns, and a saturation stage with diminishing benefits. Mechanism analysis reveals that transportation structure optimization and agglomeration economies serve as the dual drivers underpinning this evolution. Consequently, this study advocates for stage-adaptive planning strategies, suggesting that small and medium-sized cities focus on breaking through development thresholds, while large cities prioritize stock optimization and resilience enhancement to avoid high-carbon lock-in.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.