Measuring the 3-30-300 rule to help cities meet nature access thresholds. Browning, M. H. E. M., Locke, D. H., Konijnendijk, C., Labib, S. M., Rigolon, A., Yeager, R., Bardhan, M., Berland, A., Dadvand, P., Helbich, M., Li, F., Li, H., James, P., Klompmaker, J., Reuben, A., Roman, L. A., Tsai, W. -., Patwary, M., O'Neil-Dunne, J., Ossola, A., Wang, R., Yang, B., Yi, L., Zhang, J., & Nieuwenhuijsen, M. Science of The Total Environment, 907:167739, January, 2024.
Measuring the 3-30-300 rule to help cities meet nature access thresholds [link]Paper  doi  abstract   bibtex   1 download  
The 3-30-300 rule offers benchmarks for cities to promote equitable nature access. It dictates that individuals should see three trees from their dwelling, have 30 % tree canopy in their neighborhood, and live within 300 m of a high-quality green space. Implementing this demands thorough measurement, monitoring, and evaluation methods, yet little guidance is currently available to pursue these actions. To overcome this gap, we employed an expert-based consensus approach to review the available ways to measure 3-30-300 as well as each measure's strengths and weaknesses. We described seven relevant data and processes: vegetation indices, street level analyses, tree inventories, questionnaires, window view analyses, land cover maps, and green space maps. Based on the reviewed strengths and weaknesses of each measure, we presented a suitability matrix to link recommended measures with each component of the rule. These recommendations included surveys and window-view analyses for the ‘3 component’, high-resolution land cover maps for the ‘30 component’, and green space maps with network analyses for the ‘300 component’. These methods, responsive to local situations and resources, not only implement the 3-30-300 rule but foster broader dialogue on local desires and requirements. Consequently, these techniques can guide strategic investments in urban greening for health, equity, biodiversity, and climate adaptation.
@article{browning_measuring_2024,
	title = {Measuring the 3-30-300 rule to help cities meet nature access thresholds},
	volume = {907},
	issn = {0048-9697},
	url = {https://www.sciencedirect.com/science/article/pii/S0048969723063660},
	doi = {10.1016/j.scitotenv.2023.167739},
	abstract = {The 3-30-300 rule offers benchmarks for cities to promote equitable nature access. It dictates that individuals should see three trees from their dwelling, have 30 \% tree canopy in their neighborhood, and live within 300 m of a high-quality green space. Implementing this demands thorough measurement, monitoring, and evaluation methods, yet little guidance is currently available to pursue these actions. To overcome this gap, we employed an expert-based consensus approach to review the available ways to measure 3-30-300 as well as each measure's strengths and weaknesses. We described seven relevant data and processes: vegetation indices, street level analyses, tree inventories, questionnaires, window view analyses, land cover maps, and green space maps. Based on the reviewed strengths and weaknesses of each measure, we presented a suitability matrix to link recommended measures with each component of the rule. These recommendations included surveys and window-view analyses for the ‘3 component’, high-resolution land cover maps for the ‘30 component’, and green space maps with network analyses for the ‘300 component’. These methods, responsive to local situations and resources, not only implement the 3-30-300 rule but foster broader dialogue on local desires and requirements. Consequently, these techniques can guide strategic investments in urban greening for health, equity, biodiversity, and climate adaptation.},
	urldate = {2023-11-24},
	journal = {Science of The Total Environment},
	author = {Browning, M. H. E. M. and Locke, D. H. and Konijnendijk, C. and Labib, S. M. and Rigolon, A. and Yeager, R. and Bardhan, M. and Berland, A. and Dadvand, P. and Helbich, M. and Li, F. and Li, H. and James, P. and Klompmaker, J. and Reuben, A. and Roman, L. A. and Tsai, W. -L. and Patwary, M. and O'Neil-Dunne, J. and Ossola, A. and Wang, R. and Yang, B. and Yi, L. and Zhang, J. and Nieuwenhuijsen, M.},
	month = jan,
	year = {2024},
	keywords = {NALCMS},
	pages = {167739},
}

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