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van den Bosch, M., Dadvand, P., Feng, X., Morand, S., Remans, R., Tyrvainen, L., de Vries, S., Gibbs, E., Sankam, J., Bauer, N., Dayamba, D., Payyappalli, U., Rasolofoson, R., Shackleton, C., Shanley, P., van den Berg, A., Bratman, G., Browning, M.H.E.M., Donovan, G., Fuertes, E., O’Callaghan-Gordo, C., RojasRueda, D., Sanesi, G., Spano, G., Tiguero-Mas, M., Yang, B.-Y., Payyappallimana, U., Bugni, V., Laird, S., Shukor, S.F.A., Grima, N., 2023. Forests and trees for human health: Pathways, impacts, challenges, and response options. In: IUFRO World Series, 41. IUFRO.

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M.H.E.M. Browning et al.

Science of the Total Environment 907 (2024) 167739

interdisciplinary review. Landscape Urban Plann. 187, 47–59. https://doi.org/ 10.1016/j.landurbplan.2019.02.010. Environmental Systems Research Institute, 2022. USA Parks [WWW Document]. URL. https://www.arcgis.com/home/item.html?id=578968f975774d3fab79fe56c8c9094 1 (accessed 9.1.22). esri, n.d. Network Analyst tutorials [WWW Document]. URL https://pro.arcgis.co m/en/pro-app/latest/help/analysis/networks/network-analyst-tutorials.htm (accessed 3.1.23). European Commission, 2020. Mapping Guide v6.3 for a Urban Atlas. European Environment Agency, 2021. Copernicus Land Monitoring Service. Future Woodlands Scotland, 2022. Invitation to Tender: The Development of a £10m Urban Forestry Fund for Scotland. Introduction: Overview of Future Woodlands Scotland The Urban Forestry Fund. Giles-Corti, B., Donovan, R.J., 2002. Socioeconomic status differences in recreational physical activity levels and real and perceived access to a supportive physical environment. Prev Med 35, 601–611. https://doi.org/10.1006/pmed.2002.1115. Gitelson, A.A., Kaufman, Y.J., Stark, R., Rundquist, D., 2002. Novel algorithms for remote estimation of vegetation fraction. Remote Sens. Environ. 80, 76–87. https:// doi.org/10.1016/s0034-4257 (01)00289-9. Götmark, F., Götmark, E., Jensen, A.M., 2016. Why be a shrub? A basic model and hypotheses for the adaptive values of a common growth form. Front. Plant Sci.

7, 1095. https://doi.org/10.3389/fpls.2016.01095. Grabowski, Z.J., McPhearson, T., Matsler, A.M., Groffman, P., Pickett, S.T., 2022. What is green infrastructure? A study of definitions in US city planning. Front. Ecol. Environ. 20, 152–160. https://doi.org/10.1002/fee.2445. Hansen, M.C., DeFries, R.S., Townshend, J.R.G., Carroll, M., Dimiceli, C., Sohlberg, R.A., 2003. Global percent tree cover at a spatial resolution of 500 meters: first results of the MODIS vegetation continuous fields algorithm. Earth Interact. 7, 1–15. https:// doi.org/10.1175/1087-3562 (2003)007<0001:gptcaa>2.0.co;2. Hartig, T., Mitchell, R.J., de Vries, S., Frumkin, H., 2014. Nature and health. Ann. Rev. Public Health 35, 207–228. https://doi.org/10.1146/annurev-publhealth-032013182443. Helbich, M., Hagenauer, J., Roberts, H., 2020. Relative importance of perceived physical and social neighborhood characteristics for depression: a machine learning approach. Soc. Psych. Psych. Epid. 55, 599–610. https://doi.org/10.1007/s00127019-01808-5. Helbich, M., Poppe, R., Oberski, D., van Emmichoven, M.Z., Schram, R., 2021. Can’t see the wood for the trees? An assessment of street view- and satellite-derived greenness measures in relation to mental health. Landsc. Urban Plan. 214, 104181 https://doi. org/10.1016/j.landurbplan.2021.104181. Henley, J., 2023.

“We need trees”: green vision struggles to take root in Europe’s cities [WWW Document]. URL. https://www.theguardian.com/cities/2023/jan/16/tree s-green-vision-europe-cities (accessed 3.1.23). Hilbert, D.R., Roman, L.A., Koeser, A.K., Vogt, J., van Doorn, N.S., 2019. Urban tree mortality: a literature review. Arboric. Urban For. 5, 167–200. https://doi.org/ 10.13140/rg.2.2.25953.15204. Hu, T., Wei, D., Su, Y., Wang, X., Zhang, J., Sun, X., Liu, Y., Guo, Q., 2022. Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based mobile lidar data. ISPRS J. Photogramm. 184, 203–214. https://doi. org/10.1016/j.isprsjprs.2022.01.002. Hummel, S., Hudak, A.T., Uebler, E.H., Falkowski, M.J., Megown, K.A., 2011. A comparison of accuracy and cost of LiDAR versus stand exam data for landscape management on the Malheur National Forest, pp. 267–273. J. For. July/August. igraph core team, 2023. igraph - the network analysis package [WWW Document]. URL. https://igraph.org/ (accessed 3.1.23). Iungman, T., Cirach, M., Marando, F., Barboza, E.P., Khomenko, S., Masselot, P., QuijalZamorano, M., Mueller, N., Gasparrini, A., Urquiza, J., Heris, M., Thondoo, M., Nieuwenhuijsen, M., 2023. Cooling cities through urban green infrastructure: a health impact assessment of European cities. Lancet 401, 577–589. https://doi.org/ 10.1016/s0140-6736 (22)02585-5.

Jennings, V., Browning, M.H.E.M., Rigolon, A., 2019. Urban Green Spaces, Public Health and Sustainability in the United States, SpringerBriefs in Geography. Springer. https://doi.org/10.1007/978-3-030-10469-6. Jiang, B., Li, D., Larsen, L., Sullivan, W.C., 2016. A dose-response curve describing the relationship between urban tree cover density and self-reported stress recovery. Environment Behav. 48, 607–629. https://doi.org/10.1177/0013916514552321. Ju, Y., Dronova, I., Delclòs-Alió, X., 2022. A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap. Sci Data 9, 586. https://doi.org/10.1038/s41597-022-01701-y. Kaczynski, A.T., Besenyi, G.M., Stanis, S.A.W., Koohsari, M.J., Oestman, K.B., Bergstrom, R., Potwarka, L.R., Reis, R.S., 2014. Are park proximity and park features related to park use and park-based physical activity among adults? Variations by multiple socio-demographic characteristics. Int. J. Behav. Nutr. Phys. 11, 146. https://doi.org/10.1186/s12966-014-0146-4. Kendal, D., Dobbs, C., Lohr, V.I., 2014. Global patterns of diversity in the urban forest: Is there evidence to support the 10/20/30 rule? Urban For. Urban Green. 13, 411–417. https://doi.org/10.1016/j.ufug.2014.04.004. Khanyile, S., Fatti, C.C., 2022. Interrogating park access and equity in Johannesburg, South Africa. Environ. Urban.

34, 10–31. https://doi.org/10.1177/ 09562478221083891. Kimball, L.L., Wiseman, P.E., Day, S.D., Munsell, J.F., 2014. Use of Urban Tree Canopy Assessments by Localities in the Chesapeake Bay Watershed. Cities and the Environment, 7. Klompmaker, J.O., Hoek, G., Bloemsma, L.D., Gehring, U., Strak, M., Wijga, A.H., van den Brink, C., Brunekreef, B., Lebret, E., Janssen, N.A.H., 2018. Green space

definition affects associations of green space with overweight and physical activity. Environ. Res. 160, 531–540. https://doi.org/10.1016/j.envres.2017.10.027. Knobel, P., Dadvand, P., Maneja-Zaragoza, R., 2019. A systematic review of multidimensional quality assessment tools for urban green spaces. Health Place 59, 102198. https://doi.org/10.1016/j.healthplace.2019.102198. Knobel, P., Dadvand, P., Alonso, L., Costa, L., Español, M., Maneja, R., 2020. Development of the urban green space quality assessment tool (RECITAL). Urban For. Urban Green. 126895 https://doi.org/10.1016/j.ufug.2020.126895. Ko, W.H., Schiavon, S., Santos, L., Kent, M., Kim, H., Keshavarzi, M., 2023. View access index: the effects of geometric variables of window views on occupants’ satisfaction. Build. Environ. 110132 https://doi.org/10.1016/j.buildenv.2023.110132. Koeser, A., Hauer, R., Andreu, M., Northrop, R., Clarke, M., Diaz, J., Hilbert, D., Konijnendijk, C., Landry, S., Thompson, G., Zarger, R., 2023. Using the 3-30-300 Rule to Assess Urban Forest Access and Preferences in Florida (United States). https://doi.org/10.20944/preprints202305.1760.v1. Kondo, M.C., Mueller, N., Locke, D.H., Roman, L.A., Rojas-Rueda, D., Schinasi, L.H., Gascon, M., Nieuwenhuijsen, M.J., 2020. Health impact assessment of Philadelphia’s 2025 tree canopy cover goals. Lancet Planet. Health 4, e149–e157.

https://doi.org/ 10.1016/s2542-5196 (20)30058-9. Konijnendijk, C., 2022. The 3-30-300 rule for urban forestry and greener cities. Biophilic Cities J. 4. Konijnendijk, C.C., 2021. Promoting health and wellbeing through urban forests – introducing the 3-30-300 rule. IUCN. URL. https://iucnurbanalliance.org/prom oting-health-and-wellbeing-through-urban-forests-introducing-the-3-30-300-rule/. Konijnendijk, C.C., 2023. Evidence-based guidelines for greener, healthier, more resilient neighbourhoods: introducing the 3–30–300 rule. J. For. Res. 34, 821–830. https:// doi.org/10.1007/s11676-022-01523-z. Labib, S.M., 2021. Estimating multiple greenspace exposure types and their associations with neighbourhood premature mortality: a socioecological study. Sci. Total Environ. 147919 https://doi.org/10.1016/j.scitotenv.2021.147919. Labib, S.M., Harris, A., 2018. The potentials of Sentinel-2 and LandSat-8 data in green infrastructure extraction, using object based image analysis (OBIA) method. Eur. J. Remote Sens. 51, 231–240. https://doi.org/10.1080/22797254.2017.1419441. Labib, S.M., Huck, J.J., Lindley, S., 2020a. Modelling and mapping eye-level greenness visibility exposure using multi-source data at high spatial resolutions. Sci. Total Environ. 755, 143050 https://doi.org/10.1016/j.scitotenv.2020.143050. Labib, S.M., Lindley, S., Huck, J.J., 2020b.

Spatial dimensions of the influence of urban green-blue spaces on human health: a systematic review. Environ. Res. 180, 108869 https://doi.org/10.1016/j.envres.2019.108869. Labib, S.M., Browning, M.H.E.M., Rigolon, A., Helbich, M., James, P., 2022. Nature’s contributions in coping with a pandemic in the 21st century: a narrative review of evidence during COVID-19. Sci. Total Environ. 833, 155095 https://doi.org/ 10.1016/j.scitotenv.2022.155095. Land, T.T. for P., 2019. ParkScore 2018 Ranking Analysis [WWW Document]. URL. https://parkscore.tpl.org/rankings_advanced.php#sm.00013514enxjsda0yth1z1 uwoadwo. Lang, N., Schindler, K., Wegner, J.D., 2019. Country-wide high-resolution vegetation height mapping with Sentinel-2. Remote Sens. Environ. 233, 111347 https://doi. org/10.1016/j.rse.2019.111347. Lang, N., Kalischek, N., Armston, J., Schindler, K., Dubayah, R., Wegner, J.D., 2022. Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles. Remote Sens. Environ. 268, 112760 https://doi. org/10.1016/j.rse.2021.112760. Larson, L.R., Mullenbach, L.E., Browning, M.H.E.M., Rigolon, A., Thomsen, J., Metcalf, E. C., Reigner, N.P., Sharaievska, I., McAnirlin, O., D’Antonio, A., Cloutier, S., Helbich, M., Labib, S.M., 2022.

Greenspace and park use associated with less emotional distress among college students in the United States during the COVID-19 pandemic. Environ. Res. 204, 112367 https://doi.org/10.1016/j. envres.2021.112367. Li, H., Browning, M.H.E.M., Rigolon, A., Larson, L.R., Taff, D., Labib, S.M., Benfield, J., Yuan, S., McAnirlin, O., Hatami, N., Kahn, P.H., 2023. Beyond “bluespace” and “greenspace”: a narrative review of possible health benefits from exposure to other natural landscapes. Sci. Total Environ. 856, 159292 https://doi.org/10.1016/j. scitotenv.2022.159292. Lin, T.-Y., Le, A.-V., Chan, Y.-C., 2022. Evaluation of window view preference using quantitative and qualitative factors of window view content. Build Environ. 213, 108886 https://doi.org/10.1016/j.buildenv.2022.108886. Liu, D., Jiang, Y., Wang, R., Lu, Y., 2023. Establishing a citywide street tree inventory with street view images and computer vision techniques. Comput. Environ. Urban Syst. 100, 101924 https://doi.org/10.1016/j.compenvurbsys.2022.101924. Locke, D.H., Romolini, M., Galvin, M., O’Neil-Dunne, J.P.M., Strauss, E.G., 2017. Tree Canopy Change in Coastal Los Angeles 2009–2014. Cities and the Environment, 10. Loukaitou-Sideris, A., Mukhija, V., 2023. Promotores for parks? The potential of a public health model to improve outreach and community engagement in park planning. Leisure Sci. 45, 281–303.

https://doi.org/10.1080/01490400.2020.1817202. Loukaitou-Sideris, A., Sideris, A., 2009. What brings children to the park? Analysis and measurement of the variables affecting children’s use of parks. J. Am. Plann. Assoc. 76, 89–107. https://doi.org/10.1080/01944360903418338. Lowe, K., Reckhow, S., Gainsborough, J.F., 2016. Capacity and equity: federal funding competition between and within metropolitan regions. J. Urban Aff. 38, 25–41. https://doi.org/10.1111/juaf.12203. Ludwig, C., Fendrich, S., Zipf, A., 2021. Regional variations of context-based association rules in OpenStreetMap. T Gis 25, 602–621. https://doi.org/10.1111/tgis.12694. Luxen, D., Vetter, C., 2011. Real-time routing with OpenStreetMap data. In: Proc 19th Acm Sigspatial Int Conf Adv Geogr Information Syst – Gis’, 11, pp. 513–516. https:// doi.org/10.1145/2093973.2094062.

11

M.H.E.M. Browning et al.

Science of the Total Environment 907 (2024) 167739 O’Neil-Dunne, J., MacFaden, S., Royar, A., Reis, M., Dubayah, R., Swatantran, A., 2014b. An object-based approach to statewide land cover mapping. In: ASPRS 2014 Annual Conference. O’Neil-Dunne, J.P.M., MacFaden, S.W., Royar, A.R., Pelletier, K.C., 2012. An objectbased system for LiDAR data fusion and feature extraction. Geocarto Int. 28, 227–242. https://doi.org/10.1080/10106049.2012.689015. Ossola, A., Hoeppner, M.J., Burley, H.M., Gallagher, R.V., Beaumont, L.J., Leishman, M. R., 2020. The Global Urban Tree Inventory: a database of the diverse tree flora that inhabits the world’s cities. Glob. Ecol. Biogeogr. https://doi.org/10.1111/geb.13169 geb.13169-8. Ossola, A., Locke, D.H., Lin, B., Minor, E., 2019. Greening in style: Urban form, architecture and the structure of front and backyard vegetation. Landsc. Urban Plan. 185, 141–157. https://doi.org/10.1016/j.landurbplan.2019.02.014. Pace, R., Masini, E., Giuliarelli, D., Biagiola, L., Tomao, A., Guidolotti, G., Agrimi, M., Portoghesi, L., Angelis, P.D., Calfapietra, C., 2022. Tree measurements in the urban environment: insights from traditional and digital field instruments to smartphone applications. Arboric Urban For. 48, 113–123. https://doi.org/10.48044/ jauf.2022.009.

Pataki, D.E., Alberti, M., Cadenasso, M.L., Felson, A.J., McDonnell, M.J., Pincetl, S., Pouyat, R.V., Setälä, H., Whitlow, T.H., 2021. The benefits and limits of urban tree planting for environmental and human health. Front. Ecol. Evol. 9, 603757 https:// doi.org/10.3389/fevo.2021.603757. Patwary, M.M., Dzhambov, A., Disha, A.S., Bardhan, M., Haque, M.Z., Rahman, M.A., Tareq, M.F., Browning, M.H.E.M., Larson, L.R., Alam, M.A., Labib, S.M., Shuvo, F.K., Parkinson, C., 2022. Exposure to nature during the COVID-19 pandemic and the associated effect on mental health: a systematic review with meta-analysis. Lancet Planet. Health 6, S20. https://doi.org/10.1016/s2542-5196 (22)00282-0. Pereira, R.H.M., Saraiva, M., Herszenhut, D., Braga, C.K.V., Conway, M.W., 2021. r5r: Rapid Realistic Routing on Multimodal Transport Networks with R 5 in R. Find. https://doi.org/10.32866/001c.21262. Pérez-del-Pulgar, C., Anguelovski, I., Cole, H.V.S., de Bont, J., Connolly, J., Baró, F., Díaz, Y., Fontán-Vela, M., Duarte-Salles, T., Triguero-Mas, M., 2021. The relationship between residential proximity to outdoor play spaces and children’s mental and behavioral health: the importance of neighborhood socio-economic characteristics. Environ Res 111326. https://doi.org/10.1016/j. envres.2021.111326. Philadelphia Parks & Recreation, 2023. Philly Tree Plan.

Pincetl, S., Gillespie, T., Pataki, D.E., Saatchi, S., Saphores, J.-D., 2013. Urban tree planting programs, function or fashion? Los Angeles and urban tree planting campaigns. Geoj 78, 475–493. https://doi.org/10.1007/s10708-012-9446-x. Purevdorj, T.S., Tateishi, R., Ishiyama, T., Honda, Y., 1998. Relationships between percent vegetation cover and vegetation indices. Int J Remote Sens 19, 3519–3535. https://doi.org/10.1080/014311698213795. Qi, J., Chehbouni, A., Huete, A.R., Kerr, Y.H., Sorooshian, S., 1994. A modified soil adjusted vegetation index. Remote Sens Environ 48, 119–126. https://doi.org/ 10.1016/0034-4257 (94)90134-1. Raffler, C., 2018. QGIS Network Analysis Toolbox 3 [WWW Document]. URL. https:// root676.github.io/index.html (accessed 3.1.23). Redmon, J., Farhadi, A., 2018. YOLOv3: An Incremental Improvement. Arxiv. https:// doi.org/10.48550/arxiv.1804.02767. Richardson, D.M., Rejmánek, M., 2011. Trees and shrubs as invasive alien species – a global review. Divers Distrib 17, 788–809. https://doi.org/10.1111/j.14724642.2011.00782.x. Riedman, E., Roman, L.A., Pearsall, H., Maslin, M., Ifill, T., Dentice, D., 2022. Why don’t people plant trees? Uncovering barriers to participation in urban tree planting initiatives. Urban For Urban Green 73, 127597. https://doi.org/10.1016/j. ufug.2022.127597. Rigolon, A., 2018.

Nonprofits and park equity in Los Angeles: a promising way forward for environmental justice. Urban Geogr. 00, 1–26. https://doi.org/10.1080/ 02723638.2018.1511192. Rigolon, A., Christensen, J., 2023. Examining facilitators and challenges to implementing equitable green space policies: lessons from Los Angeles County. Journal of Urban Affairs. https://doi.org/10.1080/07352166.2023.2184695. Rigolon, A., Browning, M.H.E.M., Lee, K., Shin, S., 2018. Access to urban green space in cities of the global south: a systematic literature review. Urban Sci 2, 67. https://doi. org/10.3390/urbansci2030067. Roberts, J., Koeser, A., Abd-Elrahman, A., Wilkinson, B., Hansen, G., Landry, S., Perez, A., 2019. Mobile terrestrial photogrammetry for street tree mapping and measurements. Forests 10, 701. https://doi.org/10.3390/f10080701. Santamour, F.S., 1990. Trees for urban planting: diversity, uniformity, and common sense. In: Proceedings of the Seventh Conference of the Metropolitan Tree Improvement Alliance (METRIA). Schwab, J.C., 2009. Planning the Urban Forest: Ecology, Economy, and Community Development. American Planning Association. Sexton, J.O., Song, X.-P., Feng, M., Noojipady, P., Anand, A., Huang, C., Kim, D.-H., Collins, K.M., Channan, S., DiMiceli, C., Townshend, J.R., 2013.

Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error. Int. J. Digit. Earth 6, 427–448. https://doi.org/10.1080/17538947.2013.786146. Sicard, P., Coulibaly, F., Lameiro, M., Araminiene, V., Marco, A.D., Sorrentino, B., Anav, A., Manzini, J., Hoshika, Y., Moura, B.B., Paoletti, E., 2023. Object-based classification of urban plant species from very high-resolution satellite imagery. Urban For. Urban Green. 81, 127866 https://doi.org/10.1016/j.ufug.2023.127866. de Souza, D.T., Torres, P.H.C., 2021. Greening and just cities: elements for fostering a south–north dialogue based on a systematic literature review. Front. Sust. Cities 3, 669944. https://doi.org/10.3389/frsc.2021.669944.

MacFaden, S.W., O’Neil-Dunne, J.P.M., Royar, A.R., Lu, J.W.T., Rundle, A.G., 2012. High-resolution tree canopy mapping for New York City using LIDAR and objectbased image analysis. J. Appl. Remote Sens. 6, 063567-1–063567–23. https://doi. org/10.1117/1.jrs.6.063567. Markevych, I., Tiesler, C.M.T., Fuertes, E., Romanos, M., Dadvand, P., Nieuwenhuijsen, M.J., Berdel, D., Koletzko, S., Heinrich, J., 2014. Access to urban green spaces and behavioural problems in children: results from the GINIplus and LISAplus studies. Environ. Int. 71, 29–35. https://doi.org/10.1016/j. envint.2014.06.002. Markevych, I., Schoierer, J., Hartig, T., Chudnovsky, A., Hystad, P., Dzhambov, A.M., de Vries, S., Triguero-Mas, M., Brauer, M., Nieuwenhuijsen, M.J., Lupp, G., Richardson, E.A., Astell-Burt, T., Dimitrova, D.D., Feng, X., Sadeh, M., Standl, M., Heinrich, J., Fuertes, E., 2017. Exploring pathways linking greenspace to health: theoretical and methodological guidance. Environ. Res. 158, 301–317. https://doi. org/10.1016/j.envres.2017.06.028. Marzulli, M.I., Raumonen, P., Greco, R., Persia, M., Tartarino, P., 2020. Estimating tree stem diameters and volume from smartphone photogrammetric point clouds. For. Int. J. For. Res. 93, 411–429. https://doi.org/10.1093/forestry/cpz067. Matsler, A.M., Meerow, S., Mell, I.C., Pavao-Zuckerman, M.A., 2021.

A ‘green’ chameleon: Exploring the many disciplinary definitions, goals, and forms of “green infrastructure”. Landscape Urban Plan 214, 104145. https://doi.org/10.1016/j. landurbplan.2021.104145. Mattijssen, T., Buijs, A., Elands, B., 2018a. The benefits of self-governance for nature conservation: a study on active citizenship in the Netherlands. J. Nat. Conserv. 43, 19–26. https://doi.org/10.1016/j.jnc.2018.01.006. Mattijssen, T., Buijs, A., Elands, B., Arts, B., 2018b. The ‘green’ and ‘self’ in green selfgovernance – a study of 264 green space initiatives by citizens. J. Environ. Pol. Plan 20, 96–113. https://doi.org/10.1080/1523908x.2017.1322945. McDonald, R.I., Aronson, M.F.J., Beatley, T., Beller, E., Bazo, M., Grossinger, R., Jessup, K., Mansur, A.V., de Oliveira, J.A.P., Panlasigui, S., Burg, J., Pevzner, N., Shanahan, D., Stoneburner, L., Rudd, A., Spotswood, E., 2022. Denser and greener cities: green interventions to achieve both urban density and nature. People Nat. https://doi.org/10.1002/pan3.10423. KIRI Innovations, 2023. Google Play Store: KIRI Engine - 3D Scanner [WWW Document]. URL. https://play.google.com/store/apps/dev?id=7847842446475266198&hl=en_ US&gl=US. (Accessed 27 February 2023). Meer, L. van der, Abad, L., Bilardi, A., Lovelace, R., n.d. Tidy Geospatial Networks in R [WWW Document]. URL https://luukvdmeer.github.io/sfnetworks/ (accessed 3.1.23).

Mell, I., 2020. The impact of austerity on funding green infrastructure: a DPSIR evaluation of the Liverpool Green & Open Space Review (LG&OSR), UK. Land Use Policy 91, 104284. https://doi.org/10.1016/j.landusepol.2019.104284. Morpurgo, J., Remme, R.P., Bodegom, P.M.V., 2023. CUGIC: the consolidated urban green infrastructure classification for assessing ecosystem services and biodiversity. Landscape Urban Plan. 234, 104726 https://doi.org/10.1016/j. landurbplan.2023.104726. National Recreation and Park Association, 2018. 2018 American’s Engagement with Parks Report. National Recreation and Park Association, 2022. 2022 Engagement With Parks Report. Nature Canada, 2022. Canada’s Urban Forests: Bringing the Canopy to All September 2022. NetworkX Developers, 2023. NetworkX: Network Analysis in Python [WWW Document]. URL. https://networkx.org/ (accessed 3.1.23). Nguyen, V.D., Roman, L.A., Locke, D.H., Mincey, S.K., Sanders, J.R., Fichman, E.S., Duran-Mitchell, M., Tobing, S.L., 2017. Branching out to residential lands: Missions and strategies of five tree distribution programs in the U.S. Urban For. Urban Green 22, 24–35. https://doi.org/10.1016/j.ufug.2017.01.007. Nieuwenhuijsen, M.J., 2020. Green infrastructure and health. In: Annual Review of Public Health, 42. https://doi.org/10.1146/annurev-publhealth-090419-102511 (annurev-publhealth-090419-102511-12).

Nieuwenhuijsen, M.J., 2021. New urban models for more sustainable, liveable and healthier cities post covid19; reducing air pollution, noise and heat island effects and increasing green space and physical activity. Environ. Int. 106850 https://doi.org/ 10.1016/j.envint.2021.106850. Nieuwenhuijsen, M.J., Dadvand, P., Márquez, S., Bartoll, X., Barboza, E.P., Cirach, M., Borrell, C., Zijlema, W.L., 2022. The evaluation of the 3-30-300 green space rule and mental health. Environ. Res. 114387 https://doi.org/10.1016/j. envres.2022.114387. Nordic Council of Ministers, 2022. Policy Brief: Unpacking the Green Recovery Spending. Nowak, D.J., Greenfield, E.J., 2010. Evaluating the National Land Cover Database tree canopy and impervious cover estimates across the conterminous United States: a comparison with photo-interpreted estimates. Environ. Manag. 46, 378–390. https://doi.org/10.1007/s00267-010-9536-9. O’Callaghan-Gordo, C., Kogevinas, M., Cirach, M., Castaño-Vinyals, G., Aragonés, N., Delfrade, J., Fernández-Villa, T., Amiano, P., Dierssen-Sotos, T., Tardón, A., Capelo, R., Peiró-Perez, R., Moreno, V., Roca-Barceló, A., Perez-Gomez, B., Vidan, J., Molina, A.J., Oribe, M., Gràcia-Lavedan, E., Espinosa, A., Valentín, A., Pollán, M., Nieuwenhuijsen, M.J., 2018. Residential proximity to green spaces and breast cancer risk: the multicase-control study in Spain (MCC-Spain). Int.

J. Hyg. Environ. Health 221, 1097–1106. https://doi.org/10.1016/j.ijheh.2018.07.014. O’Neil-Dunne, J., MacFaden, S., Royar, A., 2014a. A versatile, production-oriented approach to high-resolution tree-canopy mapping in urban and suburban landscapes using GEOBIA and data fusion. Remote Sens. Basel 6, 12837–12865. https://doi.org/ 10.3390/rs61212837.

12

M.H.E.M. Browning et al.

Science of the Total Environment 907 (2024) 167739 United States Forest Service, 2021. Family Forest Ownerships of the United States, 2018: Results From the USDA Forest Service. National Woodland Owner Survey. University of Vermont Spatial Analysis Lab, n.d. Land Cover Inventory (Within the U.S.) [WWW Document]. URL https://uvm.maps.arcgis.com/apps/webappviewer/index. html?id=fe15424caceb4dd294be816581ec2d77 (accessed 2.28.23). Vastaranta, M., Latorre, E.G., Luoma, V., Saarinen, N., Holopainen, M., Hyyppä, J., 2015. Evaluation of a smartphone app for forest sample plot measurements. Forests 6, 1179–1194. https://doi.org/10.3390/f6041179. Vosselman, G., Maas, H.-G. (Eds.), 2010. Airborne and Terrestrial Laser Scanning. Whittles Publishing. Walker, K., 2020. Penn MUSA Masterclass 2020 [WWW Document]. URL. http://wa lker-data.com/MUSAmasterclass/tutorial/ (accessed 3.19.23). Wang, S., Wang, M., Liu, Y., 2021. Access to urban parks: comparing spatial accessibility measures using three GIS-based approaches. Comput Environ Urban Syst 90, 101713. https://doi.org/10.1016/j.compenvurbsys.2021.101713. Weiss, L., Ompad, D., Galea, S., Vlahov, D., 2007. Defining neighborhood boundaries for urban health research. Am J Prev Med 32, S154–S159. https://doi.org/10.1016/j. amepre.2007.02.034. Westover, T.N., Collins, J.R., 1987. Perceived crowding in recreation settings: an urban case study.

Leisure Sci. 9, 87–99. https://doi.org/10.1080/01490408709512149. Which Plant Where, 2023. Future proof urban landscape projects with climate-ready species [WWW Document]. https://www.whichplantwhere.com.au/ (accessed 4.29.23). World Health Organization Regional Office for Europe, 2017. Urban Green Spaces: A Brief for Action. Xia, T., Zhao, B., Xian, Z., Zhang, J., 2023. How to systematically evaluate the greenspace exposure of residential communities? A 3-D novel perspective using UAV photogrammetry. Remote Sens. Basel 15, 1543. https://doi.org/10.3390/ rs15061543. Yang, B.-Y., Zhao, T., Hu, L.-X., Browning, M.H.E.M., Heinrich, J., Dharmage, S.C., Jalaludin, B., Knibbs, L.D., Liu, X.-X., Luo, Y.-N., James, P., Li, S., Huang, W.-Z., Chen, G., Zeng, X.-W., Hu, L.-W., Yu, Y., Dong, G.-H., 2021. Greenspace and human health: an umbrella review. Innov. 2, 100164 https://doi.org/10.1016/j. xinn.2021.100164. Yang, M., Dijst, M., Faber, J., Helbich, M., 2020. Using structural equation modeling to examine pathways between perceived residential green space and mental health among internal migrants in China. Environmental Research 109121. https://doi. org/10.1016/j.envres.2020.109121. Yeager, R., Browning, M.H.E.M., Breyer, E., Ossola, A., Larson, L.R., Riggs, D.W., Rigolon, A., Chandler, C., Fleischer, D., Keith, R., Walker, K., Hart, J.L., Smith, T., Bhatnagar, A., 2023.

Greenness and equity: Complex connections between intraneighborhood contexts and residential tree planting implementation. Environ. Int. 176, 107955. https://doi.org/10.1016/j.envint.2023.107955. Yu, S., Yu, B., Song, W., Wu, B., Zhou, J., Huang, Y., Wu, J., Zhao, F., Mao, W., 2016. View-based greenery: a three-dimensional assessment of city buildings’ green visibility using Floor Green View Index. Landscape Urban Plan 152, 13–26. https:// doi.org/10.1016/j.landurbplan.2016.04.004. Zhang, J., Yu, Z., Zhao, B., Sun, R., Vejre, H., 2020. Links between green space and public health: a bibliometric review of global research trends and future prospects from 1901 to 2019. Environmental Research Letters 15, 063001–063037. https://doi.org/ 10.1088/1748-9326/ab7f64. Zhang, J., Browning, M.H.E.M., Liu, J., Cheng, Y., Zhao, B., Dadvand, P., 2023. Is indoor and outdoor greenery associated with fewer depressive symptoms during COVID-19 lockdowns? A mechanistic study in Shanghai, China. Build. Environ. 227, 109799 https://doi.org/10.1016/j.buildenv.2022.109799. Zhou, B., Zhao, H., Puig, X., Fidler, S., Barriuso, A., Torralba, A., 2017. Scene parsing through ADE20K dataset. In: 2017 Ieee Conf Comput Vis Pattern Recognit Cvpr, pp. 5122–5130. https://doi.org/10.1109/cvpr.2017.544.

Suppakittpaisarn, P., Lu, Y., Jiang, B., Slavenas, M., 2022. How do computers see landscapes? comparisons of eye-level greenery assessments between computer and human perceptions. Landscape Urban Plan 227, 104547. https://doi.org/10.1016/j. landurbplan.2022.104547. Talen, E., 2001. Neighborhoods as service providers: a methodology for evaluating pedestrian access. Environ Plan B Plan Des 30, 181–200. https://doi.org/10.1068/ b12977. Tamosiunas, A., Grazuleviciene, R., Luksiene, D., Dedele, A., Reklaitiene, R., Baceviciene, M., Vencloviene, J., Bernotiene, G., Radisauskas, R., Malinauskiene, V., Milinaviciene, E., Bobak, M., Peasey, A., Nieuwenhuijsen, M.J., 2014. Accessibility and use of urban green spaces, and cardiovascular health: findings from a Kaunas cohort study. Environ. Health 13, 20. https://doi.org/10.1186/1476-069x-13-20. Tang, L., He, J., Peng, W., Huang, H., Chen, C., Yu, C., 2023. Assessing the visibility of urban greenery using MLS LiDAR data. Landscape Urban Plan. 232, 104662 https:// doi.org/10.1016/j.landurbplan.2022.104662. Tatsumi, S., Yamaguchi, K., Furuya, N., 2022. ForestScanner: a mobile application for measuring and mapping trees with LiDAR-equipped iPhone and iPad. Methods Ecol Evol. https://doi.org/10.1111/2041-210x.13900. Taylor, L., Hochuli, D.F., 2017. Defining greenspace: multiple uses across multiple disciplines. Landscape Urban Plann.

158, 25–28. https://doi.org/10.1016/j. landurbplan.2016.09.024. Texas A&M Forest Service, n.d. Trees Count Mobile App [WWW Document]. URL https: //texasforestinfo.tamu.edu/MobileApps/TreesCount/ (accessed 2.27.23). The Globe Program, n.d. Using Globe Data in your Research [WWW Document]. URL https://observer.globe.gov/get-data (accessed 2.27.23). Torres, P.H.C., Irazábal, C., Jacobi, P.R., 2022. Editorial: urban greening in the global south: green gentrification and beyond. Front. Sust. Cit. 4, 865940 https://doi.org/ 10.3389/frsc.2022.865940. Triguero-Mas, M., Donaire-Gonzalez, D., Seto, E., Valentín, A., Martínez, D., Smith, G., Hurst, G., Carrasco-Turigas, G., Masterson, D., van den Berg, M.M., Ambrós, A., Martínez-Íñiguez, T., Dedele, A., Ellis, N., Grazulevicius, T., Voorsmit, M., Cirach, M., Cirac-Claveras, J., Swart, W., Clasquin, E., Ruijsbroek, A., Maas, J., Jerret, M., Grazuleviciene, R., Kruize, H., Gidlow, C.J., Nieuwenhuijsen, M.J., 2017a. Natural outdoor environments and mental health: Stress as a possible mechanism. Environ. Res. 159, 629–638. https://doi.org/10.1016/j.envres.2017.08.048.

Triguero-Mas, M., Donaire-Gonzalez, D., Seto, E., Valentín, A., Smith, G., Martínez, D., Carrasco-Turigas, G., Masterson, D., van den Berg, M., Ambròs, A., MartínezÍñiguez, T., Dedele, A., Hurst, G., Ellis, N., Grazulevicius, T., Voorsmit, M., Cirach, M., Cirac-Claveras, J., Swart, W., Clasquin, E., Maas, J., Wendel-Vos, W., Jerrett, M., Gražulevičienė, R., Kruize, H., Gidlow, C.J., Nieuwenhuijsen, M.J., 2017b. Living close to natural outdoor environments in four European cities: adults’ contact with the environments and physical activity. Int. J. Environ. Res. 14, 1162. https://doi.org/10.3390/ijerph14101162. Trust for Public Land, 2022. ParkServe® Data Downloads [WWW Document]. URL. https://www.tpl.org/parkserve/downloads (accessed 8.1.22). Trust for Public Land, 2023. 10-Minute Walk [WWW Document]. URL. https://10minute walk.org/ (accessed 3.1.23). Twohig-Bennett, C., Jones, A., 2018. The health benefits of the great outdoors: a systematic review and meta-analysis of greenspace exposure and health outcomes. Environmental Research 166, 628–637. https://doi.org/10.1016/j. envres.2018.06.030. U.S. Geological Survey, 2020. Protected Areas Database of the United States (PAD-US) 2.1 [WWW Document]. URL. https://doi.org/10.5066/P955KPLE (accessed 10.20.21). Ulrich, R.S., 1984. View through a window may influence recovery. Science 224, 420–421. United Nations, n.d.

SDG Indicators [WWW Document]. URL https://unstats.un.org/sdgs /metadata/?Text=&Goal=11&Target= (accessed 2.27.23). United Nations Economic Commission for Europe, 2021. Sustainable Urban and Periurban Forestry.

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