ArticleJournal of planning literature2023
Developing Human-Centered Urban Digital Twins for Community Infrastructure Resilience: A Research Agenda.
Article in Journal of planning literature, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed.
- FlowsDT: A geospatial digital twin for navigating urban flood dynamics.Computers, environment and urban systems · 2026Article
- Artificial Intelligence in urban design: A systematic review.Cities (London, England) · 2026Article
- The construction and optimization of resilient community living sphere driven by digital twins.Scientific reports · 2026Article
- Community physical activity environments and physical activity levels among older adults: a hierarchical analysis of environmental dimensions.Frontiers in public health · 2026Article
- Artificial intelligence in urban science: why does it matter?Annals of GIS · 2025Article
- Generative spatial artificial intelligence for sustainable smart cities: A pioneering large flow model for urban digital twin.Environmental science and ecotechnology · 2025Article
- Toward Coastal Infrastructure Resiliency: An AI-Enabled Decision Support Framework for Multiscale Comprehension and Stakeholder Empowerment.Transactions. American Philosophical Society · 2025Article
- Geodesign in the era of artificial intelligence.Frontiers of urban and rural planning · 2025Review
- Developing Campus Digital Twin Using Interactive Visual Analytics Approach.Frontiers of urban and rural planning · 2024Article
- 3D Visualization of Hurricane Storm Surge Impact on Urban Infrastructure.Urban informatics · 2024Article
- The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review.Environmental science and ecotechnology · 2024Review
- [Digital twin hospitals: transforming the future of healthcare].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Review
- Human Dynamics Research in GIScience: challenges and opportunities.Computational urban science · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Urban digital twins (UDTs) have been identified as a potential technology to achieve digital transformative positive urban change through landscape architecture and urban planning. However, how this new technology will influence community resilience and adaptation planning is currently unclear. This article: (1) offers a scoping review of existing studies constructing UDTs, (2) identifies challenges and opportunities of UDT technologies for community adaptation planning, and (3) develops a conceptual framework of UDTs for community infrastructure resilience. This article highlights the need for integrating multi-agent interactions, artificial intelligence, and coupled natural-physical-social systems into a human-centered UDTs framework to improve community infrastructure resilience.
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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.