Assessing human-scale green equity in the 15-minute city using street-view-based visual landscape indicators and explainable machine learning: a case study of Chengdu, China
- DOI
- 10.3389/fpubh.2026.1847064
- Published
- 2026-06-08
- Container
- Frontiers in Public Health
- Publisher
- Frontiers Media SA
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.3389/fpubh.2026.1847064,
title = {Assessing human-scale green equity in the 15-minute city using street-view-based visual landscape indicators and explainable machine learning: a case study of Chengdu, China},
author = {Siya Yan and Yueyue Ma and Xiqian Wang},
year = {2026},
journal = {Frontiers in Public Health},
doi = {10.3389/fpubh.2026.1847064},
url = {https://doi.org/10.3389/fpubh.2026.1847064}
}RIS
TY - JOUR TI - Assessing human-scale green equity in the 15-minute city using street-view-based visual landscape indicators and explainable machine learning: a case study of Chengdu, China AU - Siya Yan AU - Yueyue Ma AU - Xiqian Wang PY - 2026 JO - Frontiers in Public Health DO - 10.3389/fpubh.2026.1847064 UR - https://doi.org/10.3389/fpubh.2026.1847064 ER -
APA
Yan, S., Ma, Y., & Wang, X. (2026). Assessing human-scale green equity in the 15-minute city using street-view-based visual landscape indicators and explainable machine learning: a case study of Chengdu, China. Frontiers in Public Health. https://doi.org/10.3389/fpubh.2026.1847064
Source records
- crossref · retrieved 2026-09-27T00:18:53.345Z