A STUDY ON THE ANALYSIS METHOD OF COGNITION PREFERENCES FOR URBAN LANDSCAPES BASED ON SNS DATA AND MACHINE LEARNING
Author:
Affiliation:
1. Graduate School of Human-Environment Studies, Kyushu Univ.
2. Faculty of Human-Environment Studies, Kyushu Univ.
Publisher
Architectural Institute of Japan
Subject
Building and Construction,Architecture
Link
https://www.jstage.jst.go.jp/article/aijt/28/69/28_929/_pdf
Reference9 articles.
1. 1) Abello, R. P., & Bernáldez, F. G. : Landscape preference and personality, Landscape and urban planning, Vol. 13, pp. 19-28, 1986
2. 2) Howley, P., Donoghue, C. O., & Hynes, S. : Exploring public preferences for traditional farming landscapes, Landscape and urban planning, Vol. 104, No. 1, pp. 66-74, 2012
3. 3) Wang, R. & Zhao, J. : Demographic groups’ differences in visual preference for vegetated landscapes in urban green space, Sustainable cities and society, Vol. 28, pp. 350-357, 2017
4. 4) Kuper, R. : Evaluations of landscape preference, complexity, and coherence for designed digital landscape models, Landscape and Urban Planning, Vol. 157, pp. 407-421, 2017
5. 5) Howley, P. : Assessing the general publics’ preferences towards rural landscapes, Ecological Economics, Vol. 72, pp. 161-169, 2011
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1. PREDICTION METHOD FOR URBAN IMAGE BASED ON MACHINE LEARNING MODEL UTILIZING GEOTAGGED SNS DATA AND URBAN DATA;Journal of Architecture and Planning (Transactions of AIJ);2023-12-01
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