ArticleScientific data2023
City-level population projection for China under different pathways from 2010 to 2100.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 38 citations in OpenAlex.
- Unraveling the increasing burden of allergies: Spatiotemporal dynamics of pollen allergy risk in China.Eco-Environment & Health · 2026Article
- Climate hazards and mental health hospitalizations in China: socioeconomic disparities, demographic drivers, and adaptation - a nationwide population-based study.The Lancet regional health. Western Pacific · 2026Article
- Projected cardiovascular mortality attributable to extreme temperatures under climate scenarios in Taiyuan, China.iScience · 2026Article
- City-level GDP estimates for China under alternative pathways from 2020 to 2100.Scientific data · 2025Article
- Utilizing network optimization to mitigate rising greenspace exposure inequalities in Chinese cities from 2000 to 2050.Environmental science and ecotechnology · 2025Article
- A building-scale modeling framework for urban net-zero transitions in Nanjing.Nature communications · 2025Article
- Article
- A high spatial resolution suitability layers to support feasible power plant site selection in China.Scientific data · 2025Article
- Article
- City-level population projection for China under different pathways from 2010 to 2100.Scientific data · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 8 institutions in 1 country.
Funding
Abstract
Cities play a fundamental role in policy decision-making processes, necessitating the availability of city-level population projections to better understand future population dynamics and facilitate research across various domains, including urban planning, shrinking cities, GHG emission projections, GDP projections, disaster risk mitigation, and public health risk assessment. However, the current absence of city-level population projections for China is a significant gap in knowledge. Moreover, aggregating grid-level projections to the city level introduces substantial errors of approximately 30%, leading to discrepancies with actual population trends. The unique circumstances of China, characterized by comprehensive poverty reduction, compulsory education policies, and carbon neutrality goals, render scenarios like SSP4(Shared Socioeconomic Pathways) and SSP5 less applicable. To address the aforementioned limitations, this study made three key enhancements, which significantly refines and augments our previous investigation. Firstly, we refined the model, incorporating granular demographic data at the city level. Secondly, we redesigned the migration module to consider both regional and city-level population attractiveness. Lastly, we explored diverse fertility and migration scenarios.
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.