Commentary: A road map for future data-driven urban planning and environmental health research.
GeoAI
Urban and transport planning
Urban data inventory
Urban environmental health research
Urban indicators
Urban policy
Journal
Cities (London, England)
ISSN: 0264-2751
Titre abrégé: Cities
Pays: England
ID NLM: 101085015
Informations de publication
Date de publication:
Dec 2024
Dec 2024
Historique:
pmc-release:
01
12
2024
medline:
1
10
2024
pubmed:
1
10
2024
entrez:
1
10
2024
Statut:
ppublish
Résumé
Recent advances in data science and urban environmental health research utilise large-scale databases (100s-1000s of cities) to explore the complex interplay of urban characteristics such as city form and size, climate, mobility, exposure, and environmental health impacts. Cities are still hotspots of air pollution and noise, suffer urban heat island effects and lack of green space, which leads to disease and mortality burdens preventable with better knowledge. Better understanding through harmonising and analysing data in large numbers of cities is essential to identifying the most effective means of disease prevention and understanding context dependencies important for policy.
Identifiants
pubmed: 39351125
doi: 10.1016/j.cities.2024.105340
pmc: PMC7616649
doi:
Types de publication
Journal Article
Langues
eng
Pagination
105340Déclaration de conflit d'intérêts
Declaration of competing interest The findings and conclusions in this commentary are those of the authors. In particular, these should not be construed to represent any official USDA or U.S. Government determination or policy. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the conclusions reported in this paper.