Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

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Research on the Image of University Campus Environment from the Perspective of Image Theory and Data Analysis

Taking Hubei University of Technology (HBUT) as an Example

Authors
Tianjia Wang1, *, Ziyang Dong2
1Faculty of Humanities and Arts, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
2School of Arts & Design, Hubei University of Technology, Nanli Road, Hong-Shan District, Wuhan, Hubei, China
*Corresponding author. Email: tianjiawang@mail.hbut.edu.cn
Corresponding Author
Tianjia Wang
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_47How to use a DOI?
Keywords
image theory; city image; university campus; quantitative analysis of evaluation
Abstract

With the rapid development of Chinese universities and the expansion of the number of students, how to use urban design analysis to study the built campus environment has become a primary issue. Based on the quantitative investigation and analysis of urban image theory, this paper compares the quantitative analysis results of the cognitive map of Hubei University of Technology campus, and obtains the cognitive intensity of five image elements on the campus of Hubei University of Technology (HBUT). The study found that mention rate of various elements of the campus gradually decreased along the two main axes of Chenxi Road and Zhongyang Avenue in the north and south directions; the imageability of various elements in the central area was significantly higher than that in other areas; the natural landscape element was the lake. An important feature of the campus image of the University of Technology; the campus lacks an environmental space with a strong cultural atmosphere. Finally, the results of space syntax analysis are compared and discussed, in order to improve the use efficiency and attractiveness of the campus environment space by Hugong University students, thereby improving the quality of the campus environment.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-064-0
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_47How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Tianjia Wang
AU  - Ziyang Dong
PY  - 2022
DA  - 2022/12/27
TI  - Research on the Image of University Campus Environment from the Perspective of Image Theory and Data Analysis
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 438
EP  - 452
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_47
DO  - 10.2991/978-94-6463-064-0_47
ID  - Wang2022
ER  -