The DOI matches its Crossref record; 188 of the 188 references it cites were found in a registry or an index.
Spatial dimensions of the influence of urban green-blue spaces on human health: A systematic review
Open accessAbstract
BACKGROUND There is an increasing volume of literature investigating the links between urban environments and human health, much of which involves spatial conceptualisations and research designs involving various aspects of geographical information science. Despite intensifying research interest, there has been little systematic investigation of pragmatic methodological concerns, such as how studies are realised in terms of the types of data that are gathered and the analytical techniques that are applied, both of which have the potential to impact results. The aim of this systematic review is, therefore, to understand how spatial scale, datasets, methods, and analytics are currently applied in studies investigating the relationship between green and blue spaces and human health in urban areas. METHOD We systematically reviewed 93 articles following PRISMA protocol, extracted information regarding different spatial dimensions, and synthesised them in relation to various health indicators. RESULTS AND DISCUSSION We found a preponderance of the use of neighbourhood-scale in these studies, and a majority of the studies utilised land-use and vegetation indices gleaned from moderate resolution satellite imagery. We also observed the frequent adoption of fixed spatial units for measuring exposure to green and blue spaces based on physical proximity, typically ranging between 30 and 5000 m. The conceptual frameworks of the studies (e.g., the focus on physical vs. mental health or the definition of exposure to green space) were found to have an influence on the strength of association between exposure and health outcomes. Additionally, the strength and significance of associations also varied by study design, something which has not been considered systematically. CONCLUSION On the basis of our findings, we propose a set of recommendations for standardised protocols and methods for the evaluation of the impact of green-blue spaces on health. Our analysis suggests that future studies should consider conducting analyses at finer spatial scales and employing multiple exposure assessment methods to achieve a comprehensive and comparable evaluation of the association between greenspace and health along multiple pathways.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000100 · Cited by 28,164
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gotzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · BMJ · doi:10.1136/bmj.b2700 · Cited by 17,648
Stress recovery during exposure to natural and urban environments
Ulrich, R. S., Simons, R. F., Losito, B. D., Fiorito, E., Miles, M. A., & Zelson, M. (1991) · Journal of Environmental Psychology · doi:10.1016/s0272-4944(05)80184-7 · Cited by 5,990
View Through a Window May Influence Recovery from Surgery
Ulrich, R. S. (1984) · Science · doi:10.1126/science.6143402 · Cited by 5,341
Geographically Weighted Regression: The Analysis of Spatially Varying Relationships
Fotheringham, A. S., Brunsdon, C., & Charlton, M. E. (2002) · doi:10.25405/ncl.34562610 · Cited by 3,938
Hartig, T., Mitchell, R., de Vries, S., & Frumkin, H. (2014) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-032013-182443 · Cited by 3,638
Assessing nature's contributions to people
Díaz, S., Pascual, U., Stenseke, M., Martín-López, B., Watson, R. T., Molnár, Z., Hill, R., Chan, K. M. A., Baste, I. A., Brauman, K. A., et al. (2018) · Science · doi:10.1126/science.aap8826 · Cited by 2,885
Self-citationThe IPBES Conceptual Framework — connecting nature and people
Díaz, S., Demissew, S., Carabias, J., Joly, C., Lonsdale, M., Ash, N., Larigauderie, A., Adhikari, J. R., Arico, S., Báldi, A., et al. (2015) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2014.11.002 · Cited by 2,617
Exploring pathways linking greenspace to health: theoretical and methodological guidance
Markevych, I., Schoierer, J., Hartig, T., Chudnovsky, A., Hystad, P., Dzhambov, A. M., de Vries, S., Triguero-Mas, M., Brauer, M., Nieuwenhuijsen, M. J., et al. (2017) · Environmental Research · doi:10.1016/j.envres.2017.06.028 · Cited by 2,543
Nature and mental health: An ecosystem service perspective
Bratman, G. N., Anderson, C. B., Berman, M. G., Cochran, B., de Vries, S., Flanders, J., Folke, C., Frumkin, H., Gross, J. J., Hartig, T., et al. (2019) · Science Advances · doi:10.1126/sciadv.aax0903 · Cited by 2,001
Research works printed but not linked: 11
- Allen, 2012, Environmental reviews and case studies: Advancing green infrastructure at all scales: From landscape to site, Environ. Pract., 14, 17, 10.1017/S1466046611000469 · doi:10.1017/s1466046611000469
- Bivand, 2008, vol. 747248717
- Boroushaki, 2008, Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS, Comput. Geosci., 34, 399, 10.1016/j.cageo.2007.04.003 · doi:10.1016/j.cageo.2007.04.003
- Griffith, 2016, Spatial autocorrelation and uncertainty associated with remotely-sensed data, Remote Sens., 8, 535, 10.3390/rs8070535 · doi:10.3390/rs8070535
- Helbich, 2019, 126, 107
- Klingberg, 2017, 26, 31
- Labib, 2018, The potentials of Sentinel-2 and LandSat-8 data in green infrastructure extraction, using object based image analysis (OBIA) method, European J Remote Sensing, 51, 231, 10.1080/22797254.2017.1419441 · doi:10.1080/22797254.2017.1419441
- Tiefelsdorf, 2007, Semiparametric filtering of spatial autocorrelation: the eigenvector approach, Environ. Plan., 39, 1193, 10.1068/a37378 · doi:10.1068/a37378
- Veitch, 2016, 38, 96
- Waller, 2004, vol. 368
- Zhang, 2009, NDVI spatial pattern and its differentiation on the Mongolian Plateau, J. Geogr. Sci., 19, 403, 10.1007/s11442-009-0403-7 · doi:10.1007/s11442-009-0403-7
Cited by
Rigolon, A., Browning, M. H. E. M., McAnirlin, O., & Yoon, H. (. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18052563 · Cited by 557
The association between green space and adolescents' mental well-being: a systematic review
Zhang, Y., Mavoa, S., Zhao, J., Raphael, D., & Smith, M. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17186640 · Cited by 240
Du, H., Zhou, F., Cai, Y., Li, C., & Xu, Y. (2021) · Urban Forestry & Urban Greening · doi:10.1016/j.ufug.2021.126990 · Cited by 64
Chu, S., Xu, W., Zhang, D., Lin, J., Liu, J., Liu, S., & Hong, X.-C. (2026) · Journal of Asian Architecture and Building Engineering · doi:10.1080/13467581.2025.2481238 · Cited by 20
“The health benefits of urban blue and green spaces have been reviewed by many scholars (Labib, Lindley, and Huck 2020; Zhou et al. 2024), including aspects such as combating anxiety and depression (Bray et al. 2022) and cooling effects (Yu et al. 2020).”
Metadata
- Authors
- Labib, S. M., Lindley, S., & Huck, J. J.
- Venue
- Environmental Research
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 180
- Pages
- 108869
- ISSN
- 0013-9351 (ISSN-L)
- OpenAlex
- W2982679941
- Cited by
- 482
- References
- 188
- FWCI
- 5.02
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Funders
- University of Manchester
- Arts and Humanities Research Council
- Science for Equity, Empowerment and Development Division
- Economic and Social Research Council (NE/N013530/1)
- Natural Environment Research Council
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Spatial dimensions of the influence of urban green-blue spaces on human health: A systematic review. https://app.cochat.ai/papers/10.1016/j.envres.2019.108869
- The paper
- Labib, S. M., Lindley, S., & Huck, J. J. (2020). Spatial dimensions of the influence of urban green-blue spaces on human health: A systematic review. Environmental Research. https://doi.org/10.1016/j.envres.2019.108869
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
