A Bibliometric Review of Research on the Perceptions of Campus Public Spaces
Abstract
:1. Introduction
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- Review the research tendency and the hotspots of campus public space perceptions;
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- Discuss the research progress and limitations of each hot research theme;
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- Clarify the opportunities for campus research and space design as well as the application of new technologies in the campus perceptual studies;
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- Propose the future development trends and current research gaps in the campus environment.
2. Materials and Methodology
2.1. Article Collection
2.2. Bibliometric Analysis
3. Results
3.1. Overview of Research Trends
3.1.1. Research Tendency Analysis
3.1.2. Co-Cited Reference Analysis
3.1.3. Co-Occurrence Keyword Analysis
3.1.4. Burst Detection Analysis
3.2. Hotspots of Research Themes
3.2.1. Perception of Outdoor Thermal Comfort on the University Campus
3.2.2. Spatial Perceptions of Campus Public Space
3.2.3. Health Benefits and Perceived Restoration Effects of Campus Public Space
3.2.4. Perception of Users’ Activities on Campus Public Space
4. Discussion
4.1. Overall Research Trends
4.2. Perceptions of Campus Public Space from Multiple Perspectives
4.3. Preference for Student-Oriented Campus Public Space Studies
4.4. New Research and Design Opportunities Brought by the Application of Human Perceptional Technologies
5. Conclusions
- (1)
- Firstly, it seems that it is practical to utilize physiological sensory technology to study the students’ perceptions in campus public space and their adaptation probably varies under different climatic conditions and regions. Therefore, the results of the campus perception studies are not broadly applicable.
- (2)
- Secondly, due to the complexity and systematic mechanism of campus space operations, the relevant influencing factors and indicator weights were investigated and screened, but there is no unified statement yet.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Research Groups | Influencing Factors | Research Methods | Research Contents |
---|---|---|---|
Yin et al., 2012 | Individual mood, gender, level of exercise, and previous environmental experiences; solar radiation, atmospheric pressure, environment maximum temperature, wind speed, and relative humidity. | Survey | Verify the relationship between thermal comfort and microclimatic conditions; different genders share the same perceptions of extreme high temperature; and mood strongly impacts on thermal comfort. |
Shooshtarian et al., 2015 | Air temperature (Ta), wind velocity (Va), relative humidity (RH), and globe temperature (Tg); season factor. | Concurrent measurement, questionnaire survey | Seasonal changes impact on thermal perceptions. |
Nastos and Polychroni, 2016 [44] | Environment elements (air temperature, relative humidity, wind speed, and global solar irradiance). | Field measurements | Use PET index to quantify the human thermal burden. |
Shooshtarian and Ridley, 2016 | Individual elements (gender, age group, exposure to sun, level of activity and clothing insulation, skin color); social element (position, companionship, and cultural background). | Socio-ecological System Model (SESM) | Human factors have medium influence on thermal comfort while social factors have low impact on that. |
Li et al., 2016 | People adaptive activities, thermal experience, and expectation. | Physical measurements and survey | Thermal sensation, comfort, and PET values varies in different seasons. |
Shooshtarian and Ridley, 2016 | People’s thermal preference (satisfaction), thermal sensation votes, thermal acceptability, and overall thermal comfort. | Field survey | The thermal perception conditions are not equals to thermal sensations; utilize the TSV scale as to validate the acceptable thermal range (ATR). |
Huang et al., 2017 | Elevated building designs enhance the human perceived microclimate. | Linear regression | Compare and assess the outdoor thermal comfort models, PET, UTCI, and UC-Berkeley model. |
Wang et al., 2017 | Subjective factors, exposure time in green spaces, previous thermal environment and activity, and their thermal history. | Linear regression and probit analysis | To explore the impact indicators for human thermal comfort and the relationship between urban green infrastructure (UGI) and thermal comfort. |
Gocer et al., 2018 | User-oriented elements (i.e., sitting and shading facilities). | Space syntax methodology | Spatial elements and user-oriented elements can help to improve user. thermal performance. |
Huang et al., 2019 | Shadings, biological sex and adaptive behaviors. | Field measurement and questionnaire survey, PET physiologically equivalent temperature (PET). | Explore the effects of shading, biological sex and adaptive behaviors on outdoor thermal comfort. |
Tao et al., 2019 | Spatial settings (building orientation, void-to-solid ratio). | Questionnaire survey, physical measurements. | Thermal sensation of wind speed and temperature linked with thermal environment. |
Canan et al., 2020 | Seasonal climate and culture. | Micrometeorological measurement and field survey. | Test seasonal and annual neutral PET values, the relations between seasons and predicted percentage of dissatisfied (PPD) and identify the Turkish Outdoor Comfort Index (TOCI). |
Research Groups | Research Methods | Research Contents |
---|---|---|
McFarland et al., 2010 | On-line survey, statistical analysis | Students’ use of campus green spaces has a relationship with perceptions of quality of life. |
Sun et al., 2015 | ArcGIS, questionnaire | Measure the walk accessibility by GIS and find the local topography impacts on human perceptions. |
Göçer et al., 2018 | POE method, spatial-temporal mapping, space syntax and behavioral mapping, biometeorological assessments, use tracking | Assess the outdoor campus space through the physical environment and its users’ behavior and activities, level of satisfaction, and perceptions of comfort. |
Li et al., 2019 [55] | Questionnaire survey, site observations, space syntax | The frequency of visiting the green land, seasonal factor, and green space quality influence on students’ perceptions. While the gender and past experience do not affect students’ perception. |
Alhusban et al., 2019 | Questionnaire, descriptive statistics, and the Pearson product-moment correlation coefficient | The accessibility and connectivity between spaces, availability of safe and welcoming spaces, mental map elements design and urban structure relate to students’ satisfaction. |
Peker and Ataöv, 2020 | Inquiry, interviews, and site observations; stepwise regression analyses for relevance study | Design of campus open space impacts students’ learning activities. |
Soares et al., 2020 | Literature study, space syntax analysis, volunteered geographic information (VGI), andnon-participatory observations | Creativity relates to the mixture of the land use, physical features, people positive experiences, and perceptional sense of place. |
Hami and Abdi, 2021 | Photo questionnaire, SPSS analysis | Active studying areas require more landscape design with vertical and natural elements. People expect an open and spacious space. Recreational areas need diverse forms, colors, and texture design, and students welcome the semi-refuge and friendly atmosphere for leisure space. |
Alnusairat et al., 2021 | Space syntax, microclimate simulations, and questionnaire. | The relationships between students’ attitudes and urban layout, physical features, and outdoor thermal conditions, as well as the students’ needs and behavior. |
Wang et al., 2021 [56] | SPSS analysis | Aesthetic of environment, hardscape and campus landscape with natural elements helps to increase the recreational activities on campus. |
Research Types | Research Groups | Research Contents |
---|---|---|
The relationship between environment and perceived restoration | McFarland et al., 2008 | The designed environment may relate to the stress level. |
Hipp et al., 2016 | Associations between perceived greenness and perceived restorativeness. | |
Van den Bogerd et al., 2018 [65] | Students’ preferences and perceived restoration have relationship with high nature rated preference. | |
Liu et al., 2018 | A self-rated naturalness scale (SRNS) has correlation with perceived naturalness, restoration, and health. | |
Gao et al., 2019 | Individual preference with psychophysiological restoration. | |
Loder et al., 2020 | Perceived greenness with mental health. | |
Influencing factors of perceived restorativeness | Grahn and Stigsdotter, 2010 [66] | Refuge and nature are highly related to the restorative environments. |
Malekinezhad et al., 2020 | The relationship between perceived sensory dimension, perceived restorativeness, and restoration experience. | |
Van den Bogerd et al., 2018 | Green elements, greenery. | |
Lu and Fu, 2019 | Waterfront spaces, vegetation spaces, courtyard spaces, and square spaces have the optimal effect on perceived restorativeness. |
Type of Behavior | Research Groups | Data Types | Research Contents |
---|---|---|---|
Walking/ Sitting | Debener et al., 2012 [75] | Mobile EEG data | Verify that single trial EEG data available for indoor and outdoor filed observation. |
Middleton, 2010 | Survey, diaries, and interviews | Explore the association between walking and the environment; examine the types, forms and characteristics of walking; | |
Mavros et al., 2016 | Eye-tracking, EEG data | Explore the psychological effects of environment; understand the spatial cognition of pedestrians; | |
Lee and Shepley, 2020 | Sketch maps, survey questionnaires, and observations | Deal with the relationship between student perception and the characteristics of walk routines. | |
Lin et al., 2020 | Mobile EEG data, Emotiv EPOC | Examine the emotional transfers when people walk or sit in campus. | |
King et al., 2020 | Environmental scan audits and survey | Both the subjective perceptions and walkability characteristics influenced the walkability in campus. | |
Biking | Alexander Erath, n.d. | VR facilities, 3D modelling | Experience the virtual streetscape through new technology. |
Kellstedt et al., 2021 | The observation audit and bike account, students’ assessment | Bicycling activities varied by time of day, especially for peak hours. The perception of bikeability is lower than the objective bicycling evaluation. | |
Learning | Hemer et al., 2019 | Data from personal and social responsibility inventory (PSRI) survey | Identify that student’s subjective perception associated with campus climate. |
Ibrahim and Fadzil, 2013 | Questionnaires survey | The usage and space preference related to the space characteristics and space types. | |
Tao et al., 2019 | Students’ thermal perceptions correlated with spatial settings and campus environment. | ||
Wayfinding | Iftikhar et al., 2021 | _ | Explore the impact factors of wayfinding, such as behaviors, cognitive factors, and spatial configurations. |
Afrooz et al., 2018 | Scene recognition test, mirror image discrimination, sketch maps, spatial ability questionnaire (SAQ), and eye tracking data | Recognition memory, visual memory, and recollective memory related with wayfinding. |
Keywords | Research Themes |
---|---|
Temperature, outdoor thermal comfort, hot, ecosystem service, adaption, performance, thermal comfort, climate, built environment, outdoor comfort | Perception of outdoor thermal comfort |
Green space, city, public space, space, sensation, experience, environmental design, design, urban green space, quality, experience, public perception, urban park | Space perception and quantification |
Health, attitude, landscape, sensation, public health, mental health, human thermal comfort | Health benefits and perceived recovery effects |
Physical activity, behavior, preference, walking, pedestrian level | Users’ behavior perceptions |
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Dong, W.; Wu, J.; Chen, Y.; Zhou, X. A Bibliometric Review of Research on the Perceptions of Campus Public Spaces. Buildings 2023, 13, 501. https://doi.org/10.3390/buildings13020501
Dong W, Wu J, Chen Y, Zhou X. A Bibliometric Review of Research on the Perceptions of Campus Public Spaces. Buildings. 2023; 13(2):501. https://doi.org/10.3390/buildings13020501
Chicago/Turabian StyleDong, Wei, Jinxiu Wu, Yuzhen Chen, and Xin Zhou. 2023. "A Bibliometric Review of Research on the Perceptions of Campus Public Spaces" Buildings 13, no. 2: 501. https://doi.org/10.3390/buildings13020501
APA StyleDong, W., Wu, J., Chen, Y., & Zhou, X. (2023). A Bibliometric Review of Research on the Perceptions of Campus Public Spaces. Buildings, 13(2), 501. https://doi.org/10.3390/buildings13020501