Influence Factors on Outdoor Visual Landscape Satisfaction of Large-Scale Commercial Buildings in Winter City
International Journal of Architecture, Arts and Applications
Volume 4, Issue 3, September 2018, Pages: 52-59
Received: Dec. 26, 2018;
Published: Dec. 27, 2018
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Ziyuan Luo, School of Architecture, Harbin Institute of Technology, Harbin, China; Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin, China
Hong Leng, School of Architecture, Harbin Institute of Technology, Harbin, China; Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin, China
The quality of outdoor visual landscape of large-scale commercial buildings in winter cities needs to be improved urgently, and residents’ evaluation opinions are the important basis for countermeasures. In this paper, visual landscape images of large-scale commercial buildings were collected and were analyzed by Segnet decoder to obtain the proportion of each image. A questionnaire survey was also conducted on the satisfaction of residents' visual landscape based on greening, neatness, building
Influence Factors on Outdoor Visual Landscape Satisfaction of Large-Scale Commercial Buildings in Winter City, International Journal of Architecture, Arts and Applications.
Vol. 4, No. 3,
2018, pp. 52-59.
Daniel T C. Whither scenic beauty? Visual landscape quality assessment in the 21st century [J]. Landscape & Urban Planning, 2001, 54 (1):267-281.
Tang Jingxian, Long Ying. Metropolitan Street Space Quality Evaluation: Second and Third Ring Of Beijing, Inner Ring Of Shanghai [J]. Planners, 2017, 33 (2):68-73. (In Chinese).
Xu Jian, Kang Jian, Shao Long. Subjective Evaluation of Landscape Environment in Industrial Parks [J]. Chinese Landscape Architecture, 2015, 31 (9):95-99. (In Chinese).
Arriaza M, Cañas-Ortega J F, Cañas-Madueño J A, et al. Assessing the visual quality of rural landscapes [J]. Landscape & Urban Planning, 2004, 69 (1):115-125.
Lee E H, Jang H K, Ahn G Y. The Use of Landscape Greenery Surrounding Commercial Buildings in Seoul [J]. Journal of the Korean Institute of Landscape Architecture, 2008, 36 (5).
Xing N, Siu K W M. Outdoor Public Environment of Shopping Malls: A Balance between Consumption and Social Practice. [J]. International Journal of the Constructed Environment, 2011.
Fu Zongchi, Qiu Hongfei, Li Yingbin. Research on the Visual Comfort of Snowscape in Cold Area [J]. Chinese Landscape Architecture, 2017, 33 (7):113-116. (In Chinese).
Green Vision Survey and Greening Residue Review Business Summary Report (Summary) [EB/OL]. Japan: Kyoto. (2014-03)[2015-08-10]. http://www.city.koto.lg.jp/seikatsu/douro/CIG/midori/ryokusiritu/file/tyousagaiyou.pdf.
Li X, Zhang C, Li W, et al. Assessing street-level urban greenery using Google Street View and a modified green view index [J]. Urban Forestry & Urban Greening, 2015, 14 (3):675-685.
Central District Green State Survey (4th) [EB/OL]. Japan. (2005-03)[2015-08-16]. http://www.city.chuo.lg.jp/kankyo/midori/Zittaityosa.files/330-007.pdf.
Badrinarayanan V, Kendall A, Cipolla R. Seg Net: A Deep Convolutional Encoder-Decoder Architecture for Scene Segmentation. [J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2017, PP (99):1-1.
Marmanis D, Schindler K, Wegner J D, et al. Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection [J]. 2016.
Leng Hong, Guo Enzhang, Yuan Qing. Research on the Design Countermeasures of Climate City [J]. Urban Planning, 2003, 27 (9): 49-54. (In Chinese)
Barrosoaabaa F L. Dealing with landscape fuzziness in user preference studies: Photo-based questionnaires in the Mediterranean context [J]. Landscape & Urban Planning, 2012, 104 (3):329-342.
Ives C D, Kendal D. Values and attitudes of the urban public towards peri-urban agricultural land [J]. Land Use Policy, 2013, 34 (12):80-90.