ArticleAmbio2020
Understanding interactions between urban development policies and GHG emissions: A case study in Stockholm Region.
Article in Ambio, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 81 citations in OpenAlex.
- Article
- Efficiency and Potential Evaluation to Promote Differentiated Low-Carbon Management in Chinese Counties.International journal of environmental research and public health · 2023Article
- Article
- The legacy of large dams in the United States.Ambio · 2021Article
- Article
- Social Value and Urban Sustainability in Food Markets.Frontiers in psychology · 2021Article
- Early-Warning Measures for Ecological Security in the Qinghai Alpine Agricultural Area.International journal of environmental research and public health · 2020Article
- A Carbon Emission Measurement Method for Individual Travel Based on Transportation Big Data: The Case of Nanjing Metro.International journal of environmental research and public health · 2020Article
- Unraveling Latent Aspects of Urban Expansion: Desertification Risk Reveals More.International journal of environmental research and public health · 2020Article
- Modeling and Risk Analysis of Chemical Terrorist Attacks: A Bayesian Network Method.International journal of environmental research and public health · 2020Article
- Rapid Loss of Tidal Flats in the Yangtze River Delta since 1974.International journal of environmental research and public health · 2020Article
- Emissions Control of Hydrochloric and Fluorhydric Acid in cement Factories from Romania.International journal of environmental research and public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 3 countries.
Funding
Abstract
Human-induced urban growth and sprawl have implications for greenhouse gas (GHG) emissions that may not be included in conventional GHG accounting methods. Improved understanding of this issue requires use of interactive, spatial-explicit social-ecological systems modeling. This paper develops a comprehensive approach to modeling GHG emissions from urban developments, considering Stockholm County, Sweden as a case study. GHG projections to 2040 with a social-ecological system model yield overall greater emissions than simple extrapolations in official climate action planning. The most pronounced difference in emissions (39% higher) from energy use single-residence buildings resulting from urban sprawl. And this difference is not accounted for in the simple extrapolations. Scenario results indicate that a zoning policy, restricting urban development in certain areas, can mitigate 72% of the total emission effects of the model-projected urban sprawl. The study outcomes include a decision support interface for communicating results and policy implications with policymakers.
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.