Abstract
People prefer staying in neighborhoods with abundant green space, but crowded urban buildings insulate residents from experiencing nature. As people spend most of time indoors, it is necessary to measure the amount of perceived greenery from residents’ perspective. Therefore, measuring people-perceiving-greenery at floor-level is very important not only for the developing of urban landscape ecology but also for urban greenery planning, living environment evaluation and eco-city construction. Exposure Opportunity Index (EOI) based on hierarchy urban landscape was developed to measure people-perceiving-greenery at different floors. It considered spatial relations between building floors and nearby greenery. Two main steps were involved: first, the hierarchy urban landscape model was developed including extracting the urban structural information such as Canopy Height Model (CHM) and building structure, and conducting the spatial stratification strategy. Second, EOI was calculated with Inverse Distance Weighting (IDW) method. Over 200 building storeys’ EOI were calculated and validated with 340 photos. Results indicated that EOI fit well with the reference data extracted from the photo series, and it was effective and reliable in measuring people-perceiving-greenery at floor-level. Furthermore, EOI may play important role in urban green planning and residential amenity evaluation.
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Acknowledgements
This work was supported by Hainan Province Natural Science Foundation of China, Hainan Province Key Research and Development Plan Project [ZDYF2018231]; Finance Science and Technology Project of Hainan Province, Science and Technology Cooperation Project of Sanya Municipal Institute [2018YD10]; Major Special Project-the China High-Resolution Earth Observation System [30-Y20A07-9003-17/18]; Sichuan Province Science and Technology Program [2018JZ0054]. We thank the Alba Regia Technical Faculty, Obuda University for providing us the free trial of the image datasets.
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Meng, Q., Chen, X., Sun, Y. et al. Exposure opportunity index: measuring people-perceiving-greenery at floor-level effectively. Earth Sci Inform 13, 29–38 (2020). https://doi.org/10.1007/s12145-019-00410-2
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DOI: https://doi.org/10.1007/s12145-019-00410-2