期刊
ECOLOGICAL INDICATORS
卷 113, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.ecolind.2020.106192
关键词
Green view; Street view data; Pearl river delta urban agglomeration
资金
- National Key R&D Program of China [2016YFC0502800]
- Youth Innovation Promotion Association CAS [2017061]
- National Natural Science Foundation of China [41871206]
- Natural Science Foundation of Beijing [9182018]
The quality and aesthetic ecosystem services of urban green spaces can be assessed by green view (GV), which is an indicator to quantify the percentage of green area visually sensed by human eyes. There are several case studies on estimating GV at city-scale, however, the relationship between GV values and socio-economic & morphologic profiles of cities was rarely discussed. In this work, we analyzed the GV values and their potentially influential factors by adopting an internet data crawling approach, obtaining 36,654 panoramic Street View images from Baidu Map, in the urban zones at the Pearl River Delta Urban Agglomeration (PRDUA), China. We calculated the GV value of each panoramic image using MATLAB 2015a, extracting the value of the hue channel from the digital image and then calculating pixel ratio according the color spectrum. Results show that: (1) The overall GV in PRDUA is 11.3 +/- 7.5%, lower than the cases of the developed countries; (2) More green could be sensed on the streets at the old central districts and the central business district in the cities in PRDUA; (3) The GV value is positively affected by public revenue per unit area, but is uncorrelated to green space coverage ratio, at the district-level. It indicates that an improved design and increasing monetary investment of urban green space may obtain higher people-oriented green quantity in cities. These findings can be useful for drafting more appropriate urban green space planning policies regarding the green view.
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