Design Efficacy Evaluation of a Landscape Information Modeling–Stable Diffusion (LIM–SD)-based Approach for Ecological Engineered Landscaping Design: A Case Study of an Urban River Wetland
Yan HUANG1(), Tianjie LI2
. School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China . School of Art and Design, Zhejiang Sci-Tech University, Hangzhou 311199, China
This study introduces a Landscape Information Modeling–Stable Diffusion (LIM–SD)-based digital workflow for ecological engineered landscaping (EEL) design, focusing on urban river wetlands. It explores how students from diverse academic backgrounds perform EEL tasks using the LIM–SD approach. A total of 30 participants, including industrial design postgraduates and landscape architecture undergraduates and postgraduates, completed the design tasks. The efficacy of their designs was assessed through expert evaluations on site appropriateness, aesthetics, spatial layout, and eco-engineering techniques of the design proposals, as well as the parametric simulation which calculated the vegetation coverage rate and proportion of riparian areas for each design. Moreover, evaluation of participants' subjective design experiences was conducted via questionnaires. Results indicated that landscape architecture postgraduates outperformed others applying ecological engineering principles. The study also elucidated discrepancies between LIM models and SD-generated renderings, as well as the uncertainty of SD-generated renderings, suggesting improvements are needed to align digital outputs with ecological design criteria.
Yan HUANG,Tianjie LI. Design Efficacy Evaluation of a Landscape Information Modeling–Stable Diffusion (LIM–SD)-based Approach for Ecological Engineered Landscaping Design: A Case Study of an Urban River Wetland[J]. Landsc. Archit. Front.,
2024, 12(5): 68-80.
Fig.1 The site plan of the virtual EEL design task.
Phase
Step
Actor
Method
Outcome
1
Basic modeling
Research team
Prepare a 3D model source file
An original test model for the experiment
LIM object preparation
Research team
Input data for the LIM objects within Rhinoceros software
3D parametric LIM objects, including plants, eco-engineering elements, and landscaping elements
SD model preparation
Research team
Input typical photos of other EEL design projects to train the SD model
SD model with EEL characteristics for rendering the outputs of LIM documents
2
LIM modeling
Participants
LIM modeling based on participants' conceptualization
Detailed LIM documents for participants' EEL design schemes, including modified micro-topography, planting design, eco-engineering elements, and landscaping elements
SD-generated rendering
Participants
Render captures from LIM documents using the constructed SD model, with the aid of prompts
Renderings of design works
3
Evaluation of design efficacy
Experts
Conduct qualitative evaluations of participants' design works
Qualitative evaluations of design works
4
Evaluation of design experience
Participants
Evaluate their design experience during the design project
Students' feedback
Tab.1 Detailed phases of the experiments
Fig.2 The research framework.
Fig.3 The graphical user interface of the plant library within the LIM environment.
Fig.4 Components in the landscaping element library and eco-engineering element library within the LIM environment.
Aspect
Explanation
Site appropriateness
The design adheres to the site-specific attributes of the prototypical urban river wetland in Hangzhou, ensuring that the volume, scale, and intensity of development are harmoniously integrated with the site's inherent characteristics
Aesthetics
The design presents a diverse plant selection and a structural arrangement, creating a visually appealing and natural riparian zone with strategically placed viewing points
Spatial layout
The design reveals the coherence and functionality of the spatial layout, including the integration of roads, squares, and piers, vegetation, water bodies, landscape elements, and ecological engineering components
Eco-engineering techniques
The design incorporates appropriate eco-engineering elements, such as aeration weirs, eco-sluice gates, eco-barges, appropriate slopes, and abundant vegetation coverage in the riparian areas to enhance ecosystem services and promote hydrological resilience (source: Ref.[7])
Tab.2 Detailed evaluation standards for the design outputs
Fig.5 Samples of 27 valid EEL designs.
Fig.6 Samples of 27 valid EEL designs.
Fig.7 The professional evaluation for design quality of each criterion across four aspects.
Fig.8 Results of VCR and PRA values among the three participant groups.
Fig.9 Evaluation results of students' subjective experiences.
Fig.10 Rendering examples of the river wetland landscape under the normal water level (left) and during a 30-year high-water-level event (right).
1
T., Li , Y., Huang , C., Gu , & F., Qiu (2022) Application of geodesign techniques for ecological engineered landscaping of urban river wetlands: A case study of Yuhangtang River. Sustainability, ( 14), 15612.
2
O., Addo-Bankas , Y., Zhao , A., Gomes , & A., Stefanakis (2022) Challenges of urban artificial landscape water bodies: Treatment techniques and restoration strategies towards ecosystem services enhancement. Processes, ( 10), 2486.
3
C., Steinitz (2020) On landscape architecture education and professional practice and their future challenges. Land, ( 9), 228.
4
Y., Zhang , Z., Lin , Z., Fang , & Z., Zheng (2022) An improved algorithm of thermal index models based on ENVI-met. Urban Climate, ( 44), 101190.
5
R., Wróżyński , K., Pyszny , & M., Sojka (2020) Quantitative landscape assessment using LiDAR and rendered 360° panoramic images. Remote Sensing, ( 12), 386.
6
J., Cudzik , L., Nyka , & J., Szczepański (2024) Artificial intelligence in architectural education—Green campus development research. Global Journal of Engineering Education, ( 26), 20– 25.
7
Y., Huang , E., Lange , & Y., Ma (2022) Living with floods and reconnecting to the water landscape planning and design for delta plains. Journal of Environmental Engineering and Landscape Management, ( 30), 206– 219.
8
Y., Chen , X., Wang , & C., Zhang (2022) Wavelet transform-based 3D landscape design and optimization for digital cities. International Journal of Antennas and Propagation, ( 2022), 1184198.
9
Picuno, C., Godosi, Z., & Picuno, P. (2022). Implementing a Landscape Information Modelling (LIM) Tool for Planning Leisure Facilities and Landscape Protection. In: J. Fialová (Ed.), Conference Proceedings: Public Recreation and Landscape Protection—With Environment Hand in Hand (pp. 186–190). Mendel University in Brno.
10
B. Y., Kim , & Y., Son (2014) The current status of BIM in the field of landscape architecture and the issues on the adoption of LIM. Journal of the Korean Institute of Landscape Architecture, 42 ( 3), 50– 63. https://doi.org/10.9715/KILA.2014.42.3.050
11
M., Kim , D., Park , S., Yun , W., Park , D., Lee , J., Chung , & K., Chung (2023) Establishment of a landscape information model (LIM) and AI convergence plan through the 3D digital transformation of railway surroundings. Drones, ( 7), 167.
12
Z., Zhang , J., Fort , & L., Mateu (2023) Exploring the potential of artificial intelligence as a tool for architectural design: A perception study using Gaudí's works. Buildings, 13 ( 7), 1863. https://doi.org/10.3390/buildings13071863
13
E., Wohl , J., Castro , B., Cluer , D., Merritts , P., Powers , B., Staab , & C., Thorne (2021) Rediscovering, reevaluating, and restoring lost river-wetland corridors. Frontiers in Earth Science, ( 9), 653623.
14
D., Kelly , C., Maller , & L. M., Farahani (2022) Wastelands to wetlands: Questioning wellbeing futures in urban greening. Social and Cultural Geography, 24 ( 9), 1576– 1597.
15
Y., Huang , T., Li , Y., Jin , & W., Wu (2023) Correlations among AHP-based scenic beauty estimation and water quality indicators of typical urban constructed WQT wetland park landscaping. AQUA - Water Infrastructure, Ecosystems and Society, 72 ( 11), 2017– 2034. https://doi.org/10.2166/aqua.2023.071
16
E., Kim (2020) The historical landscape: Evoking the past in a landscape for the future in the Cheonggyecheon reconstruction in South Korea. Humanities, 9 ( 3), 113. https://doi.org/10.3390/h9030113
17
S., Na (2021) Case analysis and applicability review of parametric design in landscape architectural design. Journal of the Korean Institute of Landscape Architecture, 49 ( 2), 1– 16. https://doi.org/10.9715/KILA.2021.49.2.001
18
S., Mitrović , N., Vasiljević , B., Pjanović , & T., Dabović (2023) Assessing urban resilience with geodesign: A case study of urban landscape planning in Belgrade, Serbia. Land, 12 ( 10), 1939. https://doi.org/10.3390/land12101939
19
M., Ricci , A., Scarcelli , & M., Fiorentino (2023) Designing for the Metaverse: A multidisciplinary laboratory in the industrial design program. Future Internet, ( 15), 69.
20
B., Kim , S., Joines , & J., Feng (2023) Technology-driven design process: Teaching and mentoring technology-driven design process in industrial design education. International Journal of Technology and Design Education, ( 33), 521– 555.
21
N., Brown , & S, Bunt (2022) Optimization tools as a platform for latent qualitative design education of technical designers. National Conference on the Beginning Design Student 2022, , .
22
T. M., Amabile (1982) Social psychology of creativity: A consensual assessment technique. Journal of Personality and Social Psychology, ( 43), 997– 1013.
23
Georgiev, G. V., Nanjappan, V., Casakin, H., & Soomro, S. A. (2023). Collaborative teamwork prototyping and creativity in digital fabrication design education. In: Proceedings of the International Conference on Engineering Design (ICED23), 967–976.
24
J. L., Fleiss , & J., Cohen (1973) The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability. Educational & Psychological Measurement, 33 ( 3), 613– 619.
25
T. K., Koo , & M. Y., Li (2016) A guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15 ( 2), 155– 163. https://doi.org/10.1016/j.jcm.2016.02.012
26
S., Bunt , & N. C., Brown (2023) Design efficacy and exploration behavior of student architect-engineer design teams in shared parametric environments. Buildings, ( 13), 1296.
27
G., Luo , Y., Guo , L., Wang , N., Li , & Y., Zou (2021) Application of computer simulation and high-precision visual matching technology in green city garden landscape design. Environmental Technology & Innovation, ( 24), 101801.
28
N., Kaewrattanapat , P., Wannapiroon , & P., Nilsook (2023) The system architecture of intelligent student relationship management based on cognitive technology with conversational agent for enhancing student's loyalty in higher education. International Education Studies, 16 ( 2), 103– 116. https://doi.org/10.5539/ies.v16n2p103
29
B., Muller , & T., Flohr (2016) A Geodesign approach to environmental design education: Framing the pedagogy, evaluating the results. Landscape and Urban Planning, ( 156), 101– 117.
30
Y., Fang (2023) The role of generative AI in industrial design: Enhancing the design process and education. International Conference on Innovation, Communication and Engineering (ICICE) 2023, , 131– 132.
31
Y., Zhang (2022) Application of landscape architecture 3D visualization design system based on AI technology. International Transactions on Electrical Energy Systems, ( 2022), 9918171.
32
Ghosh, D. (2007). Designing wetlands for sustainable restoration of lakes. In: Proceeding of Taal 2007: The 12th World Lake Conference, 988–994.
33
S. M., Park , & Y. G., Kim (2022) A Metaverse: Taxonomy, components, applications, and open challenges. IEEE Access 2022, ( 10), 4209– 4251.
34
W., Reinartz , N., Wiegand , & M., Imschloss (2019) The impact of digital transformation on the retailing value chain. International Journal of Research in Marketing, ( 36), 350– 366.
35
C., Rodriguez , R., Hudson , & C., Niblock (2018) Collaborative learning in architectural education: Benefits of combining conventional studio, virtual design studio and live projects. British Journal of Educational Technology, 49 ( 3), 337– 353. https://doi.org/10.1111/bjet.12535
36
Ponzio, A. P., Gonzaga, M. G., de Castro, M. P., Vale, A., Bruscato, U. M., & Mog, W. (2021). Parametric design learning strategies in the context of architectural design remote teaching. In: Proceedings of the SIGraDi 2021 Designing Possibilities Ubiquitous Conference, 1077–1088.
37
P., Shan , & W., Sun (2021) Research on 3D urban landscape design and evaluation based on geographic information system. Environmental Earth Science, ( 80), 597.
38
J., DeJong , M., Tibbett , & A., Fourie (2015) Geotechnical systems that evolve with ecological processes. Environmental Earth Science, ( 73), 1067– 1082.
39
A., Cabanek , P., Newman , & N., Nannup (2023) Indigenous landscaping and biophilic urbanism: Case studies in Noongar Six Seasons. Sustainable Earth Reviews, ( 6), 5.
40
K., Zhou , W., Wu , X., Dai , & T., Li (2023) Quantitative estimation of the internal spatio–temporal characteristics of ancient temple heritage space with space syntax models: A case study of Daming Temple. Buildings, ( 13), 1345.