References
- Ambrey, C., & Fleming, C. (2014). Public greenspace and life satisfaction in urban Australia. Urban Studies, 51(6), 1290–1321. https://doi.org/https://doi.org/10.1177/0042098013494417
- Burden, D. (2006). Urban street trees-22 benefits. Glatting Jackson and Walkable Communities Inc.
- Chen, J., Zhou, C., & Li, F. (2020). Quantifying the green view indicator for assessing urban greening quality: An analysis based on Internet-crawling street view data. Ecological Indicators, 113, 106192. https://doi.org/https://doi.org/10.1016/j.ecolind.2020.106192
- Chen, Y. (2009). Reconstructing the mathematical process of spatial autocorrelation based on Moran’ s statistics. Geographical Rresearch, 28 6 , 1449–1463. https://doi.org/https://doi.org/10.11821/yj2009060002
- Chen, Z., Xu, B., & Gao, B. (2015). Assessing visual green effects of individual urban trees using airborne Lidar data. Science of the Total Environment, 536, 232–244. https://doi.org/https://doi.org/10.1016/j.scitotenv.2015.06.142
- Coombes, E., Jones, A. P., & Hillsdon, M. (2010). The relationship of physical activity and overweight to objectively measured green space accessibility and use. Social Science & Medicine, 70(6), 816–822. https://doi.org/https://doi.org/10.1016/j.socscimed.2009.11.020
- De Vries, S., Van Dillen, S. M. E., Groenewegen, P. P., & Spreeuwenberg, P. (2013). Streetscape greenery and health: Stress, social cohesion and physical activity as mediators. Social Science & Medicine, 94, 26–33. https://doi.org/https://doi.org/10.1016/j.socscimed.2013.06.030
- Fang, C. F., & Ling, D. L. (2005). Guidance for noise reduction provided by tree belts. Landscape and Urban Planning, 71(1), 29–34. https://doi.org/https://doi.org/10.1016/j.landurbplan.2004.01.005
- Jiang, B., Chang, C. Y., & Sullivan, W. C. (2014). A dose of nature: Tree cover, stress reduction, and gender differences. Landscape and Urban Planning, 132, 26–36. https://doi.org/https://doi.org/10.1016/j.landurbplan.2014.08.005
- Jiang, B., Deal, B., Pan, H. Z., Larsen, L., Hsieh, C. H., Chang, C. Y., & Sullivan, W. C. (2017). Remotely-sensed imagery vs. eye-level photography: Evaluating associations among measurements of tree cover density. Landscape and Urban Planning, 157, 270–281. https://doi.org/https://doi.org/10.1016/j.landurbplan.2016.07.010
- Jim, C. Y., & Chen, W. Y. (2009). Ecosystem services and valuation of urban forests in China. Cities, 26(4), 187–194. https://doi.org/https://doi.org/10.1016/j.cities.2009.03.003
- Lafortezza, R., Carrus, G., Sanesi, G., & Davies, C. (2009). Benefits and well-being perceived by people visiting green spaces in periods of heat stress. Urban Forestry & Urban Greening, 8(2), 97–108. https://doi.org/https://doi.org/10.1016/j.ufug.2009.02.003
- Larkin, A., & Hystad, P. (2019). Evaluating street view exposure measures of visible green space for health research. Journal of Exposure Science & Environmental Epidemiology, 29(4 447–456). https://doi.org/https://doi.org/10.1038/s41370-018-0017-1
- Leslie, E., Sugiyama, T., Ierodiaconou, D., & Kremer, P. (2010). Perceived and objectively measured greenness of neighbourhoods: Are they measuring the same thing? Landscape and Urban Planning, 95(1–2), 28–33. https://doi.org/https://doi.org/10.1016/j.landurbplan.2009.11.002
- Li, X., Ratti, C., & Seiferling, I. (2017). Mapping urban landscapes along streets using google street view. In International Cartographic Conference (Springer, Cham)https://doi.org/https://doi.org/10.1007/978-3-319-57336-6_24 .
- Li, X., Zhang, C., Li, W., Kuzovkina, Y. A., & Weiner, D. (2015a). Who lives in greener neighborhoods? The distribution of street greenery and its association with residents’ socioeconomic conditions in Hartford, Connecticut, USA. Urban Forestry & Urban Greening, 14(4), 751–759. https://doi.org/https://doi.org/10.1016/j.ufug.2015.07.006
- Li, X., Zhang, C., Li, W., Ricard, R., Meng, Q., & Zhang, W. (2015b). Assessing street-level urban greenery using google street view and a modified green view index. Urban Forestry & Urban Greening, 14(3), 675–685. https://doi.org/https://doi.org/10.1016/j.ufug.2015.06.006
- Long, Y., & Liu, L. (2017). How green are the streets? An analysis for central areas of Chinese cities using tencent street view. Plos One, 12(2 e0171110). https://doi.org/https://doi.org/10.1371/journal.pone.0171110
- Lu, Y. (2019). Using google street view to investigate the association between street greenery and physical activity. Landscape and Urban Planning, 191, 103435. https://doi.org/https://doi.org/10.1016/j.landurbplan.2018.08.029
- Maas, J., Verheij, R. A., Groenewegen, P. P., Vries, S. D., & Spreeuwenberg, P. (2006). Green space, urbanity, and health: How strong is the relation? Journal of Epidemiology and Community Health, 60(7), 587–592. https://doi.org/https://doi.org/10.1136/jech.2005.043125
- 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., Feng, X., Sadeh, M., Standl, M., Heinrich, J., & Fuertes, E. (2017). Exploring pathways linking greenspace to health: Theoretical and methodological guidance. Environmental Research, 158, 301–317. https://doi.org/https://doi.org/10.1016/j.envres.2017.06.028
- Millward, A. A., & Sabir, S. (2017). Benefits of a forested urban park: What is the value of Allan Gardens to the city of Toronto, Canada? Landscape and Urban Planning 100 , (3), 177–188. https://doi.org/https://doi.org/10.1016/j.landurbplan.2010.11.013
- Nordh, H., Hartig, T., Hagerhall, C. M., & Fry, G. (2009). Components of small urban parks that predict the possibility for restoration. Urban Forestry & Urban Greening, 8(4), 225–235. https://doi.org/https://doi.org/10.1016/j.ufug.2009.06.003
- Payton, S., Lindsey, G., Wilson, J., Ottensmann, J. R., & Man, J. (2008). Valuing the benefits of the urban forest: A spatial hedonic approach. Journal of Environmental Planning & Management, 51(6), 717–736. https://doi.org/https://doi.org/10.1080/09640560802423509
- Roy, S., Byrne, J., & Pickering, C. (2012). A systematic quantitative review of urban tree benefits, costs, and assessment methods across cities in different climatic zones. Urban Forestry & Urban Greening, 11(4), 351–363. https://doi.org/https://doi.org/10.1016/j.ufug.2012.06.006
- Rundle, A. G., Bader, M. D., Richards, C. A., Neckerman, K. M., & Teitler, J. O. (2011). Using Google Street View to Audit Neighborhood Environments. American Journal of Preventive Medicine, 40(1), 94–100. https://doi.org/https://doi.org/10.1016/j.amepre.2010.09.034
- Seamans, S. G. (2013). Mainstreaming the environmental benefits of street trees. Urban Forestry & Urban Greening, 12(1), 2–11. https://doi.org/https://doi.org/10.1016/j.ufug.2012.08.004
- Seiferling, I., Naik, N., Ratti, C., & Proulx, R. (2017). Green streets quantifying and mapping urban trees with street-level imagery and computer vision. Landscape and Urban Planning, 165, 93–101. https://doi.org/https://doi.org/10.1016/j.landurbplan.2017.05.010
- Shashua-Bar, L., & Hoffman, M. E. (2004). Quantitative evaluation of passive cooling of the UCL microclimate in hot regions in summer, case study: Urban streets and courtyards with trees. Building and Environment, 39(9), 1087–1099. https://doi.org/https://doi.org/10.1016/j.buildenv.2003.11.007
- Soares, A. L., Rego, F. C., Mcpherson, E. G., Simpson, J. R., Peper, P. J., & Xiao, Q. (2011). Benefits and costs of street trees in Lisbon, Portugal. Urban Forestry & Urban Greening, 10(2), 69–78. https://doi.org/https://doi.org/10.1016/j.ufug.2010.12.001
- Susaki, J., & Kubota, S. (2017). Automatic assessment of green space ratio in urban areas from mobile scanning data. Remote Sensing, 9(3), 215. https://doi.org/https://doi.org/10.3390/rs9030215
- Tobler, W. (2004). On the first law of geography: A reply. Annals of the Association of Am Erican Geographers, 94(2), 304–310. https://doi.org/https://doi.org/10.1111/j.1467-8306.2004.09402009.x
- Toikka, A., Willberg, E., Mäkinen, V., Toivonen, T., & Oksanen, J. (2020). The green view dataset for the capital of Finland, Helsinki. Data in Brief, 30, 105601. https://doi.org/https://doi.org/10.1016/j.dib.2020.105601
- Tsai, W., Yngve, L., Zhou, Y., Beyer, K. M. M., Bersch, A., Malecki, K. M., & Jackson, L. E. (2019). Street-level neighborhood greenery linked to active transportation: A case study in Milwaukee and Green Bay, WI, USA. Landscape and Urban Planning, 191, 103619. https://doi.org/https://doi.org/10.1016/j.landurbplan.2019.103619
- Ulrich, R. S. (1981). Natural versus urban scenes some psychophysiological effects. Environment and Behavior, 13(5), 523–556. https://doi.org/https://doi.org/10.1177/0013916581135001
- Wang, F., Wang, K., Chen, T., & Li, P. (2017). Progress and prospect of research on urban ecological space. Progress in Geography, 36(2), 207–218. https://doi.org/https://doi.org/10.18306/dlkxjz.2017.02.007
- Wang, R., Feng, Z., Pearce, J., Yao, Y., Li, X., & Liu, Y. (2021). The distribution of greenspace quantity and quality and their association with neighbourhood socioeconomic conditions in Guangzhou, China: A new approach using deep learning method and street view images. Sustainable Cities and Society, 66, 102664. https://doi.org/https://doi.org/10.1016/j.scs.2020.102664
- Wang, X., Wang, M., Wang, S., & Wu, Y. (2015). Extraction of vegetation information from visible unmanned aerial vehicle images. Transactions of Chinese Society of Agriculture Engineering, 31(5), 152–159. https://doi.org/https://doi.org/10.3969/j.1002-6819.2015.05.022
- Wu, J., Cheng, L., Chu, S., Xia, N., & Li, M. C. (2020). A green view index for urban transportation: How much greenery do we view while moving around in cities? International Journal of Sustainable Transportation, 14 12 , 972–989. https://doi.org/https://doi.org/10.1080/15568318.2019.1672001
- Yang, J., Zhao, L., Mcbride, J., & Gong, P. (2009). Can you see green? Assessing the visibility of urban forests in cities. Landscape and Urban Planning, 91(2), 97–104. https://doi.org/https://doi.org/10.1016/j.landurbplan.2008.12.004
- Ye, Y., Richards, D., Lu, Y., song, X., Zhuang, Y., Zeng, W., & Zhong, T. (2019). Measuring daily accessed street greenery: A human-scale approach for informing better urban planning practices. Landscape and Urban Planning 191 103434 . https://doi.org/https://doi.org/10.1016/j.landurbplan.2018.08.028