ReviewiScience2026
Decoding urbanization pathways: An integrative land use change indicator framework for sustainable development in Nusantara.
Review in iScience, 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
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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.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Indonesia's new capital, Nusantara, is generating urban expansion that extends beyond administrative boundaries, yet its cross-boundary land-use dynamics remain insufficiently understood. This study develops a contextualized predictive-preventive framework of land use change (LUC) indicators for future urbanization assessment in the Nusantara agglomeration through a review-based conceptual synthesis. Drawing on recent LUC studies, published empirical evidence, and the Nusantara Development Masterplan, the study identifies 46 predictive indicators representing internal urban growth conditions and six preventive indicators capturing regional ecological capacity and spatial inequality. Predictive indicators explain land-conversion suitability and growth pressure, whereas preventive indicators function as safeguards that regulate or moderate expansion in environmentally fragile or unequal areas. The framework links internal urban drivers with regional socio-ecological constraints, extending LUC assessment beyond administrative borders. It provides a conceptual foundation for future scenario modeling, comparative research, and sustainable land management in new city development contexts.
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Registered trials
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