A Study on the Characteristics of Public Spaces in Residential Areas Based on Empirical Emotion Perception
Publication: ICCREM 2023
ABSTRACT
This article takes residential space experience as the starting point, focusing on the emotional perception of space users. By studying typical residential areas and based on qualitative research on the characteristics of public spaces within these areas, a combination of spatial syntax analysis and empirical research using quantitative methods to measure the emotions of space users is conducted. The analysis aims to identify the correlation and influencing factors between the characteristics of public spaces within residential areas and the actual emotional perception of the users. From the perspective of emotional perception, optimization suggestions are proposed for the humanized design of public spaces within residential areas.
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REFERENCES
Ashkezari-Toussi, S., Kamel, M., and Sadoghi-Yazdi, H. (2019). “Emotional maps based on social networks data to analyze cities emotional structure and measure their emotional similarity.” Cities, 86, 113-124.
Guerrero, P., Møller, M.S., Olafsson, A.S., and Snizek, B. (2016). “Revealing cultural ecosystem services through Instagram images: The potential of social media volunteered geographic information for urban green infrastructure planning and governance.” Urban Planning, 1(2), 1-17.
Luo, J. (2021). Study on the Characteristics and Influencing Mechanism of Public Space Use in Residential Areas under Individual Mobility Background-Taking Wuhan as an Example. Huazhong University of Science and Technology, Hubei, China, (05). (in Chinese).
Mehrabian, A. (1968). “Communication without words.” University of East London, 24(4), 1084-5.
Qiao, Y.N. (2020). Research on All-Age Shared Strategies for Leisure Spaces in Existing Residential Areas in Xi'an from the Perspective of Time-Space Behavior: Taking Railway Bureau Residential Areas as an Example. Xi'an University of Architecture and Technology, Shaanxi, China (06). (in Chinese).
Qin, X., Zhen, F., Xiong, L.F., and Zhu, S.J. (2013). “Research methods of urban temporal and spatial behavior in the era of big data.” Progress in Geography, 32(9), 1352-1361. (in Chinese).
Sun, Y., and Zhu, Y. (2020). “Preliminary study on scattered spaces in old communities from the perspective of daily life: Taking Wangfuyuan community in Nanjing as an example.” Huazhong Architecture, 38(07), 62-68. (in Chinese).
Svoray, T., Dorman, M., Shahar, G., and Kloog, I. (2018). “Demonstrating the effect of exposure to nature on happy facial expressions via Flickr data: Advantages of non-intrusive social network data analyses and geoinformatics methodologies.” Journal of Environmental Psychology, 58(AUG), 93-100.
Wang, X., and Wang, Y.S. (2018). “A review of facial expression recognition based on deep learning and traditional machine learning.” Applied Science and Technology, 45(1), 65-72. (in Chinese).
Wang, S. (2021). Research on the Reshaping Strategy of “Positive Space” in Existing Urban Residential Areas from the Perspective of Environmental Behavior. Kunming University of Science and Technology, Yunnan, China, (06). (in Chinese).
Xie, J., Fang, P., and Jiang, Y. (2011). “Research progress on methods of measuring emotions.” Psychological Science, 34(02), 488-493. (in Chinese).
Xu, N., and Wang, J.G. (2008). “Research on urban public space based on daily life dimensions-taking three public spaces in Nanjing's old city as an example.” Architectural Journal, 480(08), 45-48. (in Chinese).
Xu, N.J., Wang, C.X.Y., Li, J., and Yu, R.Z. (2017). “Empirical measurement of spatial emotions and preliminary exploration of their relationship with spatial quality—Taking Qianmen area in Beijing as an example.” Proceedings of the 2017 China Urban Planning Annual Conference, Guangdong, 7, 665-680. (in Chinese).
Ye, Y., Zhuang, Y., Zhang, L.Z., and Alexis, V.N. (2016). “Morphological exploration of vitality creation in urban design—Quantitative analysis of urban spatial features and resident activities.” International Urban Planning, 31(01), 26-33. (in Chinese).
Zhang, J.Q., Liu, Y.N., and Song, B.F. (2022). “Research on the spatial distribution characteristics of life service industry in the main urban district of Zhengzhou city based on POI data.” World Geographic Research, 31(02), 399-409. (in Chinese).
Zhao, Y. (2016). Research on urban residents’ activity space based on time-space behavior perspective, Nanjing Southeast University Press, Nanjing. (in Chinese).
Zhu, X., Zhang, R., and Zhao, X.L. (2021). “Research on the identification of blue space characteristics affecting public emotional preferences-Taking songhua river basin as an example.” Chinese Landscape Architecture, 37(08), 50-55. (in Chinese).
Information & Authors
Information
Published In
ICCREM 2023
Pages: 617 - 631
History
Published online: Nov 30, 2023
ASCE Technical Topics:
- Analysis (by type)
- Business management
- Case studies
- Correlation
- Engineering fundamentals
- Human and behavioral factors
- Infrastructure
- Management methods
- Mathematics
- Methodology (by type)
- Practice and Profession
- Quality control
- Quantitative analysis
- Real estate
- Research methods (by type)
- Residential location
- Spatial analysis
- Statistics
- Urban and regional development
- Urban areas
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