Research on Visual Comfort of Underground Commercial Streets’ Pavement in China on the Basis of Virtual Simulation

Author:

Sun Liang12,Tan Weikang13ORCID,Ren Yanbing1,Ji Xiang12,Wang Zhi1,Li Pei1

Affiliation:

1. Architecture, China University of Mining and Technology, Xuzhou, P. R. China

2. Jiangsu Collaborative Innovation Center for Building Energy Saving and Construction Technology, Jiangsu 221116, P. R. China

3. Urban and Rural Planning, Yancheng Institute of Technology, Yancheng, P. R. China

Abstract

As the physical environment of urban underground streets space is continuously perfect, people start to anticipate that underground streets with negative impression could satisfy their psychological comfort appeal as traditional ground streets do. Streets’ pavement is of great significance in creating humanized and comfortable underground spatial atmosphere, and different ground pavements of underground commercial streets display different visual comfort effects. We conducted field investigations of a dozen typical underground streets in eight big cities in China with 42 test samples, and this research obtained the pavement elements’ data of underground commercial streets, built virtual 3D scenes based on orthogonal analysis and virtual reality technology of computer vision, acquired the psychological data of spatial experience through virtual reality test, and analyzed the relationship between six elements (glossiness, roughness, color, dimension, pattern, and collage of ground pavement in underground commercial streets) and spatial visual comfort based on quantitative analysis of experimental data. Results show that, “Cold–hot sensation”, “Glossiness”, and “Collage ordered degree” are chief elements for underground commercial streets’ pavement design. The pavement design featured with neutral color, medium- and large-scale and ordered collage form are the design preference and emphasis for underground commercial streets. Neutral color of underground commercial streets pavement may have a great influence on the recognition of pavement glossiness.

Funder

the National Natural Science Foundation of China

the National Key R&D Plan of China

the Ministry of Housing and Urban Science and Technology Project funded of China

the Building Energy Conservation Technology Collaborative Innovation Center for Open Fund of Jiangsu

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference44 articles.

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2. H. H. Bülthoff and H. A. H. C. van Veen, Vision and Action in Virtual Environments: Modern Psychophysics in Spatial Cognition Research (Springer, New York, 2001), pp. 233–252.

3. Human behaviors modeling in multi-agent virtual environment

4. Y. Chenying, Research on Undergraduate Color Preference and Metaphor Representation (Nanjing Normal University, Nanjing, 2017), p. 33.

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