Next Article in Journal
Exploring the Applicability of the PPP in Tourist Toilets: Reflections on the Laoshan Case in China
Next Article in Special Issue
Special Issue on Tunnel Construction and Underground Space Technology
Previous Article in Journal
Detection of Bridge Damages by Image Processing Using the Deep Learning Transformer Model
Previous Article in Special Issue
Numerical Study of Smoke Distribution in Inclined Tunnel Fire Ventilation Modes Considering Traffic Conditions
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Evaluation and Optimization Paths of Design Elements of Underground Building Atria Based on IPA–Kano Model

1
School of Architecture and Urban Planning, Chongqing University, Chongqing 400044, China
2
School of Arts, Yunnan University, Kunming 650091, China
3
School of Foreign Languages and Cultures, Chongqing University, Chongqing 400044, China
*
Author to whom correspondence should be addressed.
Buildings 2023, 13(3), 789; https://doi.org/10.3390/buildings13030789
Submission received: 9 February 2023 / Revised: 8 March 2023 / Accepted: 15 March 2023 / Published: 16 March 2023
(This article belongs to the Special Issue Tunnel Construction and Underground Space Technology)

Abstract

:
The interior of an underground atrium is often a combination of multiple design elements. The lack of methodology and quantitative data support makes it impossible for developers and operators to know the public’s preferences for further renovation, which seriously hinders the sustainable development of underground atria. This paper addresses this issue by evaluating the IPA–Kano model for underground atria with three cases selected in the main urban area of Chongqing for comparison. Then, three types of design elements have been identified to have different impacts on underground building atria on the basis of analyzing the relationship between design elements and users’ subjective perceptions of underground building atria. They are the basic, importance, and attraction elements. Finally, the optimization path for underground building atria is determined by integrating the actual performance of these three types of design elements. It is indicated that design elements such as seating, interface, and signage must be prioritized for improvement.

1. Introduction

POPS (Privately owned public spaces) was first introduced in New York in the 1960s and is defined as a hybrid space owned and managed by the private sector but open to the public for free public use [1,2]. POPS has three functions: firstly, it relieves strained municipal resources for local authorities [1,3,4,5,6]. Secondly, POPS provides more potential consumers and additional economic benefits for private developers [2]. Lastly, and most importantly, systemic and high-quality POPS design can provide a mix of spatial features and comfortable spatial experience, directly benefiting the users [7,8].
As an essential node space of POPS, the atrium of an underground building plays a vital role in creating an excellent psychological environment and enhancing the overall image of the space due to its public and decentralized use, the uniqueness of its spatial composition, and its closeness to natural light and natural landscape for underground buildings with few floors and a relatively large plan volume. However, it can be found from previous studies that discussions mainly revolve around clarifying the significance of an underground building atrium within the whole underground building. For example, from the perspective of design, with the underground building atrium as an underground building orientation, Jian Zhang et al. proposed a spatial image design countermeasure using nodes such as the underground building atrium for the soft orientation system of the underground complex [9]. Through field research, Jia Mi et al. found that the underground building atrium, as an important node for the connection between the underground building and the above-ground environment, could help users to find their way and identify their direction in the underground building [10]. From the perspective of interactive penetration between above ground and underground, Jian Zhao et al. argued that the arrangement of underground building atria could not only strengthen the physical connection of the internal space, but also play a vital role in promoting the visual penetration of the space [11]. Taek et al. argued that the atrium of an underground building, as an intermediary space connecting above and below ground, could guide customers to spend more time in the underground shopping center [12]. From the angle of fire evacuation function, Jian Zeng and Qiao Wang et al. illustrated the role of fire prevention and evacuation of an underground building atrium and argued that it should be used as a buffer zone for horizontal and vertical evacuation [13]. To sum up, it can be seen that the underground atrium plays a crucial part in the whole POPS, but there are few quantitative studies on how to optimize the underground atrium at this stage.
As an essential underground public space, the largest user group of underground building atria is the public, and the solution to user needs should be prioritized for optimization. At present, as a popular technology in evaluating customer needs, the IPA–Kano model is used to assess, by identifying the relationship between service quality and user needs, and hence propose an optimization path according to the results. However, the interdisciplinary application of the model in urban research is limited to traffic services, pedestrian satisfaction, noise, and other fields [14,15]. However, it is seldom applied in POPS studies. This study plans to extract the implicit importance of the design elements through bivariate correlation analysis by describing and analyzing the attribute performance and significance of the design elements of underground building atria in the main urban area of Chongqing. Then, the design elements of underground building atria are evaluated using the IPA–Kano model, and the optimization path is analyzed based on the measurement results combined with the actual performance of the attributes.

2. Method

2.1. IPA–Kano Model

For the choice of spatial element quantification methods, the satisfaction measurement tools of IPA (Importance-Performance Analysis) [16,17] and the Kano hierarchy of needs model [18,19] are most commonly used. IPA was developed by Martilla and James to provide insight into the elements affecting users’ evaluation of overall performance and to judge their priorities [20]. The means of satisfaction and perceived importance of each IPA indicator are projected in the form of coordinates onto four quadrant diagrams, and elements falling into different quadrants have different connotations (Figure 1). However, in practice, the relationship between element attribute performance and overall performance is nonlinear and asymmetric [21]. This problem can be better addressed using the Kano model proposed by Japanese scholar Noriaki Kano, which classifies user needs into five levels: attractive needs, desired needs, necessary needs, undifferentiated needs, and reverse needs. Elements under different need level categories have different degrees of influence on the overall performance (Figure 2), but the model itself cannot directly derive policy recommendations. In addition, undifferentiated and reverse demands do not contribute much to the overall performance so their characteristics are not involved in our study. In summary, a combination of both needs is to be applied in the evaluation.
Kurt Matzler et al. proposed the IPA–Kano model by integrating them, and it has become a popular evaluation technique in urban management and product services, and is also gradually being introduced into urban planning and architectural design [20,22]. It combines the advantages of IPA in judging the priority of relevant elements with the merits of Kano in evaluating the attributes of user needs, with the horizontal coordinate representing the explicit importance and the vertical coordinate representing the implicit significance. The importance elements in quadrant A have the highest explicit and implicit importance. Quadrant B is the attractive element with low explicit importance and high implicit importance. Quadrant C is the unimportant element with the lowest explicit and implicit importance. Quadrant D is the basic element with high explicit importance and low implicit importance (Figure 3). The model provides a prediction of user needs and causal path analysis, which offers guidance for measuring design elements and proposing improvement strategies.

2.2. Optimization Method

Our research focuses on the basic elements, importance elements, and attraction elements. The most significant is the linear effect of importance elements on the overall performance that can be improved if they are delivered and vice versa. Basic elements do not affect the overall performance if they are satisfied but will degrade it if they are not. The delivery of attraction elements will improve the overall performance, otherwise it will not be contaminated. Whether the remaining non-important performance elements are satisfied or not will not affect the overall performance so they are not of concern [15].
Although the evaluation results of the design elements of underground building atria can be derived, these are insufficient to provide an optimization path for their development. Since the contribution of design elements to the overall performance depends on their actual performance, the evaluation results should be combined with the attribute performance to determine the optimization path for the underground atrium design elements. It is important to note that the effects of basic and attraction elements on the overall performance are asymmetric. For instance, the overall performance is not enhanced with basic elements exceeding expectations, but gets degraded if not implemented. Attraction elements do not cause a decrease in the overall performance if they are not realized, but can improve it if realized. The impact of important performance elements on the overall performance is proportional to the degree to which they are realized. Thus, the order is basic elements, importance elements, and attraction elements [23]. The actual performance of the design element attributes is divided into three categories (Table 1), reflecting different performance levels. The first 11 are the best performers and the last 11 are the worst, while the others are relatively mediocre. We can derive the optimization paths by constructing six priority levels.

2.3. Experimental Process

The experimental process consists of the following four steps (Figure 4).
(1)
We conducted and collated questionnaires to calculate the mean importance and attribute performance values of atrium design elements of underground buildings in the three cases.
(2)
The importance and attribute performance bivariate was correlated using spss22.0 data statistical analysis software to extract the implied importance of atrium design elements of underground buildings [24].
(3)
The IPA–Kano analysis raster was used to present the comparative results of explicit and implicit importance, using importance data to represent explicit importance on the horizontal axis and bivariate correlation analysis data of importance and attribute performance to describe implicit importance on the vertical axis. The mean value of the 33 elements of explicit and implicit importance was used as the central coordinate, and each element corresponded to the quadrant diagram, respectively.
(4)
Based on the results of the quadrant attribution of the atrium design elements of underground buildings, the optimization path was analyzed by combining the performance ranking of each element attribute.
Among them, SP22.0 was adopted to perform bivariate correlation analysis to extract the implied importance of the atrium design elements of underground buildings with the following calculation formula.
r x y = x i y i n x y ( n 1 ) s x s y = n x i y i x i y i n x i 2 ( x i ) 2 n y i 2 ( y i ) 2
The coefficients take values between −1.0 and 1.0, with variables close to 0 being no correlation and close to 1 or −1 being a strong correlation.

3. Indicator and Data

3.1. Design Elements of Underground Building Atria

An atrium usually refers to the courtyard space inside a building; a unique form that is both isolated from and integrated with the external space. In underground buildings, the application of an atrium can solve such problems as undesirable psychological reactions, inconspicuous external images and features, limitations of view and natural light, and poor sense of direction. Therefore, “the atrium of an underground building (hereafter referred to as atrium) is a diverse, evolving and inspiring dynamic space that contains humans, activities and natural elements” [25]. The atrium is characterized by the following points. (1) First of all, it can often become a transportation hub or “central landmark” for the whole underground building, and its multifunctional internal compound provides a platform for public socialization and recreation. (2) Unlike general underground spaces that are in a completely enclosed environment, its top often takes the form of an open hole as a way to provide natural light. Meanwhile, when the atrium is composed of multiple layers, the inner facade often uses windows and doors and corridors to form a staggered facade level. (3) Because of the good natural environment, greening and resting facilities are often set here. It can be seen that the atrium has characteristics different from other types of underground public spaces, which are reflected in the design elements of public facilities, physical environment, spatial interface, and spatial form. We conducted an in-depth interview with the head of the property department of Nanping Yixiang City in Chongqing, and concluded that from the perspective of operation and management, public facilities should be the most important, followed by spatial interface and physical environment, and spatial scale and morphology are relatively less important. This is also a reasonable speculation, because the public can first perceive public facilities [26], while other design elements are relatively weakly perceived.
Then, based on the perspective of architecture, this study combines the features of atria as an essential node of above-ground penetration and a key shared underground space [27,28] with its basic functional units such as gathering, dispersal, and public activities, as well as the constituent elements of morphology, interface, environment, and facilities. The four indicators are proposed: B1 (spatial scale and morphological elements), B2 (spatial limited degree elements), B3 (spatial physical environment elements), and B4 (spatial facilities elements). Further subdivided under the second level, 33 design elements of an atrium are finally summarized, covering many aspects such as guidance modes, spatial combination forms, environment, and service facility layout (Table 2). Importance and attribute performance questionnaires are developed based on these 33 design elements.

3.2. Questionnaire Design

The importance questionnaire is a 5-point Likert scale with 33 questions based on user preferences for atrium design elements. For instance, in D33 it asks “Do you think the number of lounge seats is important?” where “1” means very unimportant, “2” unimportant, “3” average, “4” important, and “5” very important. The weighted average score of each variable is adopted as the importance score to measure the explicit importance of each design element of atria. The attribute performance questionnaire is designed for users to rate the actual performance of the design elements of atria on a 5-point Likert scale. For example, in D33 it asks “Are you satisfied with the current number of lounge seats?” where “1” means very dissatisfied, “2” dissatisfied, “3” average, “4“ satisfied, and “5” very satisfied. The weighted average score of each variable is adopted as the attribute performance score, reflecting the actual performance of the design elements of atria. The importance and attribute performance questionnaires not only ask questions about the 33 elements but also record the age and gender of the participants.

3.3. Research Cases and Data

Chongqing is one of the four municipalities directly under the central government in China, and the average density of the main urban area is about 20,000 people/km2 [13]. With an early utilization of urban underground public space, it is abundant in type and quantity. We selected three atria as evaluation cases, respectively, in Nanping Yixiangcheng (hereinafter referred to as Nanping), Jiefangbei PARK108 Guotai Youhe City Plaza (Jiefangbei), and Guanyinqiao Jinyuan Buoyant City (Guanyinqiao). These three cases are located in the main urban area of Chongqing, all within the business districts, and the internal underground atria are located at the core of the whole space, as well as having a high pedestrian flow (Figure 5).
The study was conducted from 2019 to 2021 using questionnaire distribution. Offline was primary and online secondary. Offline questionnaires were mainly distributed in the underground atria. An online questionnaire survey was conducted using the “Sojump” platform, and distributed to former users or users through social networks, e-mail, and other means. A total of 689 questionnaires were returned and sorted. On the one hand, the questionnaires with obvious and illogical problems were eliminated. On the other hand, a quota sampling was used for the age structure of the questionnaire to ensure age distribution, with each of the four age groups accounting for 1/4 of the total number of participants (Table 3). Finally, 659 valid questionnaires were collected, 222 from Nanping, 222 from Jiefangbei, and 215 from Guanyinqiao. Notably, 58% were from females and 42% were from males, indicating a reasonable distribution because underground public spaces are mainly commercial and tend to be more popular with women [29]. Then, the reliability and validity of the 33 elements in the questionnaires were analyzed using spss 22.0 statistical software, showing the Cronbach values were all above 0.8, which proved that the questionnaires had good reliability. The significant values were all 0, meaning good validity (Table 4).

4. Results

4.1. Importance and Attribute Performance Analysis

In terms of the importance of the design elements of the atria, different age groups all consider ventilation, temperature, and humidity to be very important. However, the female group believes that in addition to the two elements mentioned above, the light environment, especially artificial lighting, is of high importance, while males believe that this element is of general importance. In general, it is agreed by users that ventilation, temperature, and humidity are very significant design elements in the physical environment of the space, while changes in the form of walls and eaves are considered unimportant (Figure 6). The importance of other identical elements varies significantly among users. ANOVA tests on the same design elements in the three cases yield remarkable p-value levels, 11 of which are significant (Figure 7). Plane greening, water features, stair step dimensions, and ramp shape and width are more crucial in Guanyinqiao than in Jiefangbei and Nanping, while vertical greening is less important than these elements in the latter two. The fence and railing form, elevator setup, and winding corridor and verandah form in Guanyinqiao are more important than those in Jiefangbei.
In terms of the attribute performance of the atrium design elements, there are significant differences in the ratings of different age groups and gender groups. For example, the number of rest seats: those 46 years old and above and the male group feel unsatisfied, while other age groups and females are generally satisfied. In general, what users perceive to be better are ventilation, temperature, humidity, wall material and color, floor pavement pattern, and landscape facility, while ramp shape and width are poor (Figure 6). ANOVA tests on the same elements in the three cases present p-values at significant levels, with 24 items showing significance (Figure 7). All design elements in Guanyinqiao have displayed better performance than those in the other two, except vertical greening and seat number. The design elements significantly better in Nanping than in Jiefangbei are the degree of ground undulation, plane greening, landscape furniture, water features, stair step dimensions, map marking, and rest seating. The only element significantly poorer than that in Jiefangbei is vertical greening, while the performance of other elements is not very different.

4.2. Extraction of Implicit Importance of Design Elements

Explicit importance refers to users’ direct evaluation of the importance of the design element, while implicit importance refers to the importance status reflected in users’ evaluation of other aspects (Table 5). Explicit and implicit are interrelated but not identical so they must be compared and combined when evaluating design elements. The p-value for the same design element is less than 0.05, which is statistically significant, and the results and score rankings are shown in Table 4. In the three cases, the implicit importance rankings for the roof shape, ratio of door and window openings, balcony form, and artificial lighting are basically the same, while the implicit importance rankings for other elements are significantly different. Sound preference and ventilation rank highly in Jiefangbei and Nanping, while ranking moderately in Guanyinqiao.

4.3. Evaluation of Design Elements of Underground Building Atria

The same design elements in different construction situations can have diverse impacts on users’ subjective perceptions. Conversely, different design elements may have the same effect on users’ subjective perceptions in the same construction situation [14]. In the three cases, similarities and differences coexist in the evaluation results of the design elements of atria (Figure 8, Table 6). The similarities are reflected in the fact that the same design elements belong to the quadrant of the same category. The number of rest seats is common to Guanyinqiao and Jiefangbei, while map marking is common to Guanyinqiao and Nanping. Regarding important expressive elements, Guanyinqiao has a much lower number of elements than Jiefangbei and Nanping. Plane layout, roof transparency, sound preference, ventilation, temperature and humidity, wall material and color, and underground traffic signs are important performance elements common to all three cases. Jiefangbei and Nanping have the same plane ratio, profile ratio, and sound comfort ratio to the wall opening. Guanyinqiao and Jiefangbei share the fence and railing form, and Guanyinqiao and Nanping share the artificial lighting elements. In terms of attraction elements, the only element common to all three cases is the wall form change, while the element common to Guanyinqiao and Jiefangbei is the roof shape. The other elements of Guanyinqiao are significantly more than those of Nanping and Jiefangbei.
The differences are reflected in the fact that the same design elements are grouped into different quadrants (Figure 8, Table 6). For instance, among the basic elements, Jiefangbei has a degree of ground undulation, artificial lighting, floor pavement pattern, and forms of rest seating, which are classified as important elements in Nanping. Meanwhile, natural lighting and underground traffic signs are classified as important elements in Jiefangbei. The basic elements such as elevator setup and winding corridor and verandah form of Guanyinqiao are classified as non-important elements in Nanping and Jiefangbei, while the exclusive basic elements in the latter two, except underground traffic signs and artificial lighting, are classified as non-important and attraction elements in Guanyinqiao. With regard to the importance elements, the elevator setup and the winding corridor and verandah form of Jiefangbei are classified as non-important elements in Nanping, while the roof opening diameter is classified as an attraction element in Nanping. The vertical greening, atrium sectional form, and stair step dimensions in Nanping are classified as unimportant expressive elements in Jiefangbei, while the latter two are classified as attraction elements in Guanyinqiao. Guanyinqiao presents more attraction elements, while plane ratio, profile ratio, ratio of door and window opening, and sound comfort, as mentioned above, are classified as important elements in Nanping and Jiefangbei. Nanping’s exclusive landscape furniture and plane greening are classified as unimportant elements in Jiefangbei and Guanyinqiao. This suggests that there is an apparent discrepancy in user preferences, which leads to a significant difference in the evaluation results of the same design elements for different atria.

5. Discussion

There are homogeneous evaluation results among different atria so we should pay attention to all these common elements (Table 7). The design elements related to spatial scale and limits affect users’ spatial experience, but are far less important than the physical environment and amenities, which are more advanced needs to be considered after the basic needs are met. The number of rest seats, degree of ground undulation, wall form change, map marking, and underground traffic signs are ideal for this purpose. The reasons for optimization are as follows: owing to the public space property of the atria [26], users want to rest and communicate here, but the number of seats is often insufficient to meet the needs of the crowd. The wall form change and the degree of ground undulation are the basis of the spatial limitation of atria, which are the design elements visible and directly perceived by the users. Unlike above-ground atria, the spatial interface in the atria often lacks variation at this stage. In addition, basic guidance facilities such as map marking and underground traffic signs also need attention. Although an atrium can get external views and better lighting through an opening in its roof, it is undeniable that there is still a lack of spatial direction reference, coupled with the fact that it is often the gathering and dispersal place of various underground channels. Therefore, a clear guiding sign plays a vital role. An atrium itself is a particularly good physical space environment, but it can be seen that the actual performance of natural lighting and sound comfort still cannot meet the expectations of users. The plane layout is an important performance-oriented element in the three places, but the actual performance is average. The roof shape is an attraction element in Guanyinqiao and Jiefangbei, reflecting a high-level demand that needs considering only after the basic demand is satisfied, hence in line with the demand hierarchy theory.
In addition to the design elements common to all three cases, the design elements to be optimized in each case are different (Table 7). The dissatisfaction of users in Guanyinqiao focuses on the design of transportation infrastructure and spatial scale. In fact, the shortcoming in the design of transportation infrastructure in an atria has been a common problem, such as the location and arrangement of escalators, the width of ramps, and the design of stair treads. Other important performance elements such as artificial lighting and top openings are of average performance in practice. It is also found in the site study that the slightly smaller diameter of the top opening and the lack of artificial auxiliary lighting have resulted in a darker overall space, and that the lower height inside Guanyinqiao exacerbates the user’s sense of oppression (Figure 9). As a unique design element of Guanyinqiao, vertical greening is also noteworthy. In Jiefangbei, it can be seen that all the other design elements can be grouped into those of a façade form, except the seat shape as a fascinating element, so the lack of variation in the spatial interface is the main reason for user dissatisfaction (Figure 10). Nanping also has the same problem as Guanyinqiao in terms of spatial scale, mainly focusing on the narrow opening and the lack of variation in the form of contours. Nanping introduces the above-ground landscape into the underground, but the attraction elements of ground-level landscape and vignette design are not set up, resulting in the lack of good viewing effect on the horizontal sight line (Figure 11).

6. Conclusions

Three cases in the main urban area of Chongqing are taken as the research object, and the IPA–Kano model is adopted to identify three types of elements that have different impacts on the atria, namely, the basic elements with high concern, the important elements that can be strengthened during the optimal allocation of resources, and the attraction elements that can be intensified after meeting the above two requirements. By integrating these three types of elements and their actual performance, we have established the optimization path for the design elements of atria. Design elements such as the number of rest seats, wall form change, and degree of ground undulation are priority elements to ensure enhanced user satisfaction. Guanyinqiao should attach importance to the transportation infrastructure issues and improve the sense of oppression caused by inadequate spatial scale and lighting through design means. Jiefangbei needs to be improved in terms of spatial interface variations. Nanping should also pay attention to the spatial scale, while appropriately shaping some ground and vertical landscapes to meet users’ viewing needs.
The IPA–Kano model adopted in this paper and the conclusions can help developers and designers understand their projects’ operational status and public preferences, as well as the key elements that affect the overall performance of underground buildings, providing data and scientific support for further project improvement and resource optimization. Furthermore, the information can be shared with building investors, who also have a vested interest in the sustained success of underground atria.
The research method in this paper has some limitations: similar to the traditional IPA importance analysis, the raster quadrant to which an element belongs depends on the position of the X and Y axes, and the choice of the threshold value affects the classification of the element category [30]. The closer the design element is to the axis, the worse its attribution. Due to the multi-collinearity among design elements, binary correlation analysis is adopted to derive their implied importance instead of the usual partial correlation analysis and regression analysis.

Author Contributions

Validation, J.W.; Resources, L.F.; Data curation, B.Y. and J.W.; Writing—original draft, X.J.; Writing—review & editing, L.F.; Supervision, B.Y.; Project administration, X.J. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Chongqing Postgraduate Research Innovation Project, grant number CYB20036.

Data Availability Statement

Data is contained within the article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Huang, T.S.; Franck, K.A. Let’s meet at Citicorp: Can privately owned public spaces be inclusive? J. Urban Des. 2018, 4, 499–517. [Google Scholar] [CrossRef]
  2. Lee, D. Whose space is privately owned public space? Exclusion, underuse and the lack of knowledge and awareness. Urban Res. Pract. 2020, 15, 366–380. [Google Scholar] [CrossRef]
  3. Cui, J.Q.; Lin, D. Utilization of underground pedestrian systems for urban sustainability. Tunn. Undergr. Space Technol. 2015, 55, 194–204. [Google Scholar] [CrossRef]
  4. He, J.; Zacharias, J.; Geng, J.; Liu, Y.N.; Huang, Y.S.; Ma, W.H. Underground pedestrian network for urban commercial development in Tsim Sha Tsui of Hong Kong. In Proceedings of the 15th International Scientific Conference Underground Urbanisation as a Prerequisite for Sustainable Development, St. Petersburg, Russia, 12–15 September 2016; Volume 165, pp. 193–204. [Google Scholar]
  5. Sterling, R.; Admiraal, H.; Bobylev, N.; Parker, H.; Godard, J.P.; Vähäaho, I.; Rogers, C.D.F.; Shi, X.; Hanamura, T. Sustainability issues for underground space in urban areas. Urban Des. Plan. 2012, 165, 241–254. [Google Scholar] [CrossRef]
  6. Schmidt, S.; Nemeth, J.; Botsford, E. The evolution of privately owned public spaces in New York City. Urban Des. Int. 2011, 4, 270–284. [Google Scholar] [CrossRef]
  7. Broere, W. Urban underground space: Solving the problems of today’s cities. Tunn. Undergr. Space Technol. 2016, 55, 245–248. [Google Scholar] [CrossRef] [Green Version]
  8. Ma, C.-X.; Peng, F.-L.; Qiao, Y.-K.; Li, H. Influential factors of spatial performance in metro-led urban underground public space: A case study in Shanghai. Tunn. Undergr. Space Technol. 2022, 8, 229–251. [Google Scholar] [CrossRef]
  9. Zhang, J.; Qu, Q.Q.; Hu, B.; Yuan, L. Research on the spatial image design countermeasures of the soft guiding system of the underground complex. Chin. J. Undergr. Space Eng. 2016, 3, 587–592. (In Chinese) [Google Scholar]
  10. Mi, J.; Xu, L.Q.; Tang, Z. Path-finding experiment and space-oriented research in underground public space—Taking Shanghai People’s Square as an example. Archit. J. 2007, 12, 66–70. (In Chinese) [Google Scholar]
  11. Zhao, J.; Künzli, O. An introduction to connectivity concept and an example of physical connectivity evaluation for underground space. Tunn. Undergr. Space Technol. 2016, 55, 205–213. [Google Scholar] [CrossRef]
  12. Taek, L.M. A Study on the Revitalization of the Underground Shopping Mall as Experiential Intermediate Space-Focused on the Euljiro underground shopping mall. J. Korea Intitute Spat. Des. 2013, 8, 127–135. [Google Scholar]
  13. Wang, Q.; Zeng, J. The construction of disaster prevention planning system for high-density city center. Archit. J. 2012, S2, 144–148. (In Chinese) [Google Scholar]
  14. Du, Y.; Chen, J. Research on the Quality Attribution of Design Elements for the Entrance and Exit of Subway in Cold Region Based on IPA-Kano Method. Archit. J. 2018, S1, 144–148. (In Chinese) [Google Scholar]
  15. Yin, J.; Cao, X.J.; Huang, X.; Cao, X. Applying the IPA–Kano model to examine environmental correlates of residential satisfaction: A case study of Xi’an. Habitat Int. 2016, 53, 461–472. [Google Scholar] [CrossRef] [Green Version]
  16. Arbore, A.; Busacca, B. Rejuvenating importance-performance analysis. J. Serv. Manag. 2011, 22, 409–429. [Google Scholar] [CrossRef]
  17. Cai, C.Y.; Luo, P.C.; Tang, C.C.; Zhang, X.Y. Evaluation of Tourist Satisfaction in the World Heritage Sites of Folk Houses Based on the IPA Method—A Case Study of Yongding Earth Building in Fujian. Resour. Sci. 2011, 7, 1374–1381. (In Chinese) [Google Scholar]
  18. Kondo, Y. Customer satisfaction: How can I measure it? Total Qual. Manag. 2001, 12, 867–872. [Google Scholar] [CrossRef]
  19. Yang, J. Evaluation of demand index for tourist souvenirs in Shaanxi Han and Tang Dynasties based on Kano-AHP model. Packag. Eng. 2017, 4, 239–247. (In Chinese) [Google Scholar]
  20. Matzler, K.; Sauerwein, E. The factor structure of customer satisfaction: An empirical test of the importance grid and the penalty-reward-contrast analysis. Int. J. Serv. Ind. Manag. 2002, 13, 314–332. [Google Scholar] [CrossRef]
  21. Tontini, G.; Silveira, A. Identification of satisfaction attributes using competitive analysis of the improvement gap. Int. J. Oper. Prod. Manag. 2007, 27, 482–500. [Google Scholar] [CrossRef]
  22. Matzler, K.; Sauerwein, E.; Heischmidt, K. Importance-performance analysis revisited: The role of the factor structure of customer satisfaction. Serv. Ind. J. 2003, 23, 112–129. [Google Scholar] [CrossRef]
  23. Chen, K.S.; Chen, H.T. Applying Importance–Performance Analysis with Simple Regression Model and Priority Indices to Assess Hotels Service Performance. J. Test. Eval. 2014, 42, 455–466. [Google Scholar] [CrossRef]
  24. Lai, I.K.W.; Hitchcock, M. Importance–performance analysis in tourism: A framework for researchers. Tour. Manag. 2015, 48, 242–267. [Google Scholar] [CrossRef]
  25. Chen, Z.L.; Wu, T. Discussion on the design of the atrium of the underground building. Undergr. Space 2002, 4, 347–349+355–373. (In Chinese) [Google Scholar]
  26. Yan, B.; Jia, X.M.; Wang, J.Y. Study on the Evaluation of the Vitality Contribution of Underground Public Space in the Central City. Chin. J. Undergr. Space Eng. 2020, 2, 334–344. (In Chinese) [Google Scholar]
  27. Xiao, J.; Cao, K. Research on the Evaluation System of Humanized Design of Underground Space in Mountainous City—Taking the Six Commercial Districts of Chongqing as an Example. J. West. Hum. Settl. Environ. 2019, 34, 9–17. (In Chinese) [Google Scholar]
  28. Yuan, H.; Meng, Q.; Cui, X.; Pan, K. Research on the Urban Design of Underground Space in the Urban Central District—Building a “Double Layer” City on the Ground. J. West. Hum. Settl. 2016, 31, 88–94. (In Chinese) [Google Scholar]
  29. Chebat, J.C.; Gélinas-Chebat, C.; Therrien, K. Lost in a mall, the effects of gender, familiarity with the shopping mall, and the shopping values on shoppers’ wayfinding processes. J. Bus. Res. 2005, 58, 1590–1598. [Google Scholar] [CrossRef]
  30. Azzopardi, E.; Nash, R. A critical evaluation of importance–performance analysis. Tour. Manag. 2013, 35, 222–233. [Google Scholar] [CrossRef]
Figure 1. IPA model.
Figure 1. IPA model.
Buildings 13 00789 g001
Figure 2. Kano model.
Figure 2. Kano model.
Buildings 13 00789 g002
Figure 3. IPA–Kano model.
Figure 3. IPA–Kano model.
Buildings 13 00789 g003
Figure 4. Experimental technique route.
Figure 4. Experimental technique route.
Buildings 13 00789 g004
Figure 5. Overview of the location of the atria of the underground buildings in the three main urban areas of Chongqing.
Figure 5. Overview of the location of the atria of the underground buildings in the three main urban areas of Chongqing.
Buildings 13 00789 g005
Figure 6. Importance and attribute performance of design elements.
Figure 6. Importance and attribute performance of design elements.
Buildings 13 00789 g006
Figure 7. Significance statistics of importance and attribute performance.
Figure 7. Significance statistics of importance and attribute performance.
Buildings 13 00789 g007
Figure 8. IPA–Kano quadrant analysis of underground building atria in three cases.
Figure 8. IPA–Kano quadrant analysis of underground building atria in three cases.
Buildings 13 00789 g008aBuildings 13 00789 g008b
Figure 9. Atrium of the Guanyin Bridge Jinyuan never sleep City Underground Building.
Figure 9. Atrium of the Guanyin Bridge Jinyuan never sleep City Underground Building.
Buildings 13 00789 g009
Figure 10. Atrium of the underground building of Cathay Pacific City Plaza, PARK108, Jiefangbei.
Figure 10. Atrium of the underground building of Cathay Pacific City Plaza, PARK108, Jiefangbei.
Buildings 13 00789 g010
Figure 11. Atrium of the underground building in Nanping Elephant City.
Figure 11. Atrium of the underground building in Nanping Elephant City.
Buildings 13 00789 g011
Table 1. Improvement priority.
Table 1. Improvement priority.
Improvement PriorityQuadrantAttribute Performance Ranking
1Basic Element22–33
2Important element22–33
3Attractive element22–33
4Basic Element11–22
5Important element11–22
6Attractive element11–22
Table 2. Design elements of the atrium space of the underground building.
Table 2. Design elements of the atrium space of the underground building.
B1 Spatial scale and form elementsC1 Spatial scaleD1 Plane ratio
D2 Section ratio
C2 Spatial formD3 Plane layout
D4 Atrium Sectional Form
B2 Spatial limit elementsC3 Top interfaceD5 Roof opening diameter
D6 Roof shape
D7 Roof transparency
C4 Vertical interfaceD8 Wall form change
D9 Ratio of door and window openings
D10 Fence and railing form
C5 Bottom interfaceD11 Degree of ground undulation
D12 Balcony form
B3 Spatial physical environment elementsC6 Light environmentD13 Artificial lighting
D14 Natural lighting
C7 Sound environmentD15 Sound comfort
D16 Sound preference
C8 VentilationD17 Ventilation
C9 Thermal environmentD18 Temperature and humidity
B4 Space facility elementsC10 Landscape facilityD19 Wall material and color
D20 Floor pavement pattern
D21 Plane greening
D22 Vertical greening
D23 Landscape furniture
D24 Water feature
C11Transportation facilityD25 Escalator setup
D26 Elevator setup
D27 Stair Step Dimensions
D28 Ramp shape and width
D29 Winding corridor, verandah form
C12 Guide facilityD30 Map marking
D31 Underground traffic sign
C13 Rest facilityD32 Form of rest seat
D33 Number of rest seat
Table 3. Participant age and gender ratio.
Table 3. Participant age and gender ratio.
AgeGender
18–2526–3536–45Over 46MaleFemale
25%25%25%25%42%58%
Table 4. Reliability and validity analysis of the questionnaire.
Table 4. Reliability and validity analysis of the questionnaire.
QuestionnaireNameNanpingJiefangbeiGuanyin Bridge
Attribute PerformanceCronbach Alpha value0.9250.940.94
Number333333
ImportanceCronbach Alpha value0.9630.8780.884
Item number333333
Attribute PerformanceKaiser-Meyer-Olkin0.8820.9010.898
Bartlett Sphere Test000
ImportanceKaiser-Meyer-Olkin0.9250.7540.825
Bartlett Sphere Test000
Table 5. Implicit importance and ranking of atrium design elements in underground buildings.
Table 5. Implicit importance and ranking of atrium design elements in underground buildings.
Guanyin BridgeJiefangbeiNanping
ScoreRankScoreRankScoreRank
D1 Plane ratio0.68820.56790.58019
D2 Profile ratio0.59480.466190.60616
D3 Plane layout0.517140.542110.7211
D4 Atrium Sectional Form0.66140.425220.63610
D5 Roof opening diameter0.60170.489170.58417
D6 Roof shape0.68330.71810.6814
D7 Roof transparency0.62850.69220.63412
D8 Wall form change0.61260.542120.6735
D9 Ratio of door and window openings0.521130.494160.62215
D10 Fence, railing form0.532120.558100.38328
D11Degree of ground undulation0.561100.225320.7212
D12 Balcony form0.358280.357250.36629
D13 Artificial lighting0.492200.439200.57720
D14 Natural lighting0.517150.60150.53524
D15 Sound comfort0.69610.61730.63511
D16 Sound preference0.515160.59660.6448
D17 Ventilation0.513170.57280.6656
D18 Temperature and humidity0.541110.60340.62614
D19 Wall material and color0.59380.531140.58318
D20 Floor Pavement Pattern0.469220.427210.6863
D21 Plane greening0.486210.377240.56122
D22 Vertical greening0.199320.290290.6547
D23 Landscape furniture0.467230.207330.57621
D24 Water feature0.374260.344260.19233
D25 Escalator setup0.398250.323280.30831
D26 Elevator setup0.341300.534130.33630
D27 Stair Step Dimensions0.513180.330270.63013
D28 Ramp shape and width0.258310.379230.38427
D29 Winding corridor, verandah form0.347290.58870.39226
D30 Map Marking0.452240.489180.26932
D31 Underground traffic sign0.508190.510150.6429
D32 Form of rest seat0.361270.244310.56023
D33 Number of rest seat0.194330.253300.43925
Table 6. Evaluation results of design elements of underground building atria.
Table 6. Evaluation results of design elements of underground building atria.
Attribution of ElementsGuanyin BridgeJiefangbeiNanping
Basic elementD30 Map MarkingD33 Number of rest seatD30 Map Marking
D33 Number of rest seatD11Degree of ground undulationD14 Natural lighting
D25 Escalator setupD13 Artificial lightingD31 Underground traffic sign
D28 Ramp shape and widthD20 Floor Pavement Pattern
D22 Vertical greeningD32 Form of rest seat
Important elementD3 Plane layoutD3 Plane layoutD3 Plane layout
D7 Roof transparencyD7 Roof transparencyD7 Roof transparency
D16 Sound preferenceD16 Sound preferenceD16 Sound preference
D17 VentilationD17 VentilationD17 Ventilation
D18 Temperature and humidityD18 Temperature and humidityD18 Temperature and humidity
D19 Wall material and colorD19 Wall material and colorD19 Wall material and color
D31 Underground traffic signD31 Underground traffic signD31 Underground traffic sign
D10 Fence, railing formD1 Plane ratioD1 Plane ratio
D13 Artificial lightingD2 Section ratioD2 Section ratio
D15 Sound comfortD15 Sound comfort
D9 Ratio of door and window openingsD9 Ratio of door and window openings
D10 Fence, railing formD13 Artificial lighting
D5 Roof opening diameterD4 Atrium Sectional Form
D14 Natural lightingD6 Roof shape
D26 Elevator setupD11 Degree of ground undulation
D29 Winding corridor, verandah formD22 Vertical greening
D30 Map MarkingD20 Floor Pavement Pattern
D27 Stair Step Dimensions
D32 Form of rest seat
D33 Number of rest seat
Unimportant elementD12 Balcony formD12 Balcony formD12 Balcony form
D24 Water featureD24 Water featureD24 Water feature
D21 Plane greeningD21 Plane greeningD25 Escalator setup
D23 Landscape furnitureD23 Landscape furnitureD26 Elevator setup
D26 Elevator setupD25 Escalator setupD29 Winding corridor, verandah form
D29 Winding corridor, verandah formD4 Atrium Sectional FormD10 Fence, railing form
D20 Floor Pavement PatternD22 Vertical greeningD28 Ramp shape and width
D32 Form of rest seatD27 Stair Step Dimensions
D28 Ramp shape and width
Attractive elementD8 Wall form changeD8 Wall form changeD8 Wall form change
D6 Roof shapeD6 Roof shapeD5 Roof opening diameter
D1 Plane ratio D23 Landscape furniture
D2 Section ratio D21 Plane greening
D5 Roof opening diameter
D4 Atrium Sectional Form
D11 Degree of ground undulation
D9 Ratio of door and window openings
D14 Natural lighting
D15 Sound comfort
D27 Stair Step Dimensions
Table 7. Improvement priorities of atrium design elements of underground buildings.
Table 7. Improvement priorities of atrium design elements of underground buildings.
Guanyin BridgeJiefangbeiNanping
Priority 1D33 Number of rest seatD11Degree of ground undulation
D25 Escalator setupD33 Number of rest seat
D28 Ramp shape and width
D22 Vertical greening
Priority 2D31 Underground traffic signD30 Map MarkingD11 Degree of ground undulation
D10 Fence, railing form
D26 Elevator setup
D29 Winding corridor, verandah form
Priority 3D8 Wall form change D8 Wall form change
D5 Roof opening diameter D21 Plane greening
Priority 4D30 Map MarkingD32 Form of rest seatD30 Map Marking
D14 Natural lighting
D31 Underground traffic sign
Priority 5D3 Plane layoutD3 Plane layoutD3 Plane layout
D13 Artificial lightingD14 Natural lightingD15 Sound comfort
D15 Sound comfortD31 Underground traffic sign
D31 Underground traffic signD33 Number of rest seat
D2 Section ratioD6 Roof shape
D5 Roof opening diameterD1 Plane ratio
D9 Ratio of door and window openingsD4 Atrium Sectional Form
D27 Stair Step Dimensions
D9 Ratio of door and window openings
Priority 6D11 Degree of ground undulationD8 Wall form changeD31 Underground traffic sign
D14 Natural lightingD6 Roof shape
D15 Sound comfort
D6 Roof shape
D1 Plane ratio
D2 Section ratio
D4 Atrium Sectional Form
D27 Stair Step Dimensions
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Jia, X.; Yan, B.; Wang, J.; Fang, L. Evaluation and Optimization Paths of Design Elements of Underground Building Atria Based on IPA–Kano Model. Buildings 2023, 13, 789. https://doi.org/10.3390/buildings13030789

AMA Style

Jia X, Yan B, Wang J, Fang L. Evaluation and Optimization Paths of Design Elements of Underground Building Atria Based on IPA–Kano Model. Buildings. 2023; 13(3):789. https://doi.org/10.3390/buildings13030789

Chicago/Turabian Style

Jia, Xinming, Bo Yan, Jinyao Wang, and Ling Fang. 2023. "Evaluation and Optimization Paths of Design Elements of Underground Building Atria Based on IPA–Kano Model" Buildings 13, no. 3: 789. https://doi.org/10.3390/buildings13030789

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop