Article ; Online: A Review of Cityscape Research Based on Dynamic Visual Perception
Land, Vol 12, Iss 1229, p
2023 Volume 1229
Abstract: Dynamic visual experience is the most common way for people to perceive a cityscape. Previous research reviews on cityscapes have mainly focused on spatial planning, social culture, economic development, ecological protection, etc., with little ... ...
Abstract | Dynamic visual experience is the most common way for people to perceive a cityscape. Previous research reviews on cityscapes have mainly focused on spatial planning, social culture, economic development, ecological protection, etc., with little consideration of the impact of dynamic visual perception on the formation of cityscapes, which hinders the provision of references for the practice of people-centered urban design concepts. Therefore, this article selected 94 works in the relevant literature from 1940 to 2022 to conduct a critical review. First, we conceptualized the cityscape in light of earlier substantial discussions on the intimate relationship between dynamic visual perception and the cityscape. Then, we divided the relevant research from the past century and a half into three periods and summarized theoretical and practical research on the cityscape in these different periods from the perspective of dynamic visual perception. Among these, the refined research on interdisciplinary methods, including Visual Quality Assessment based on dynamic visual perception and visibility analysis algorithms based on digital technology, is emphatically described and discussed. Based on a comprehensive review, this article concludes that the main application scenarios for the existing research on dynamic visual perception are cityscape assessment and decision making. Finally, three avenues for future research are proposed. |
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Keywords | dynamic visual perception ; cityscape ; dynamic visual quality assessment ; dynamic visual impact assessment ; urban design ; urban morphology ; Agriculture ; S |
Subject code | 700 |
Language | English |
Publishing date | 2023-06-01T00:00:00Z |
Publisher | MDPI AG |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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