CIM-enabled quantitative view assessment in architectural design and space planning Vikrom Laovisutthichai, Maosu Li, Fan Xue, Weisheng Lu, K.L. Tam, and Anthony G.O. Yeh Plenary talk The 38th International Symposium on Automation and Robotics in Construction 2021 3 November 2021 Vikrom Laovisutthichai PhD Candidate Department of Real Estate and Construction The University of Hong Kong vikrom@connect.hku.hk Maosu Li PhD Candidate Department of Urban Planning and Design The University of Hong Kong maosulee@connect.hku.hk Outline 1. Introduction 2. Research Methods 3. The Integrated Model for View Assessment 4. Case study 5. Discussion and Conclusion 1. Introduction Greetings from Hong Kong! 1. Introduction 1. Introduction • Typically, view is assessed manually by physical site observation, data collection, and data analysis. • Such process is time-consuming, labour-intensive, and costly. • The process needs assistive tools. Architectural space planning Space planning, building form design, and furniture arrangement to maximize the benefits of good view Traditional view assessment (1) Physical site observation (2) Data collection (3) Data analysis 1. Introduction • To facilitate the view assessment in architectural design, the simulation method has been adopted as a convenient and effective tool. Methods Forms Process modelling 1) Projection 2) Raytracing on hand-made models 3) Fish-eye lens View assessment based on existing City Information Models (CIMs) 1) Visibility analysis 2) View image capture Advantages Disadvantages 1) Quantified analysis 1) Time-consuming and unscalable 2) Insufficient 3D details 1. Introduction • However, the CIM-enabled approach for architectural space planning has not been realized in both research and practice. • This research, therefore, aims to develop a model through which CIM can be extended to assist view assessment in architectural space planning. City Information Model (CIM) ? 2. Research Methods • This research comprises five stages to both resolve real-world challenges and constitute knowledge contributions. 3.The Integrated Model for View Assessment • After reviewing the literature, redefining the real-world challenges, and brainstorming the potential solutions, the new view assessment model is generated. • It is the consolidation of simulation-based view assessment and traditional site observation and evaluation. 3.The Integrated Model for View Assessment Traditional view assessment (1) Physical site observation (2) Data collection (3) Data analysis 3.The Integrated Model for View Assessment Simulation-based view assessment Criteria View type 3D CIM 2D site (3) Semantic extraction and mapping (2) Data preprocessing (1) Input Geographic registration Observation site determination View site sampling View photo generation Semantic segmentation Multimodal regression 3.The Integrated Model for View Assessment Architectural design and space planning Building form Large proportional nature view oriented Building envelope Maximum nature view resource utilization Floor zoning Global view resource distribution Room zoning Regional view resource distribution Furniture arrangement More view acquisition oriented Window settings High-quality nature view oriented External design Architectural design and space planning Space planning Internal design 4. Case study • To validate the feasibility of the integrated approach, the Pokfield campus, the University of Hong Kong, Hong Kong SAR, was selected to be a case study. Case area Experimental environment Workstation: two Intel XEON E5-2690 v4 CPUs (2.6GHz, 28 cores), 64 GB memory, Nvidia Quadro P5000 GPU, Windows 10 Enterprise 64-bit. View visualization platform: Cesium (1.73) Deep transfer learning model: DeepLab V3 View prediction platform: Orange3 (3.26.0) 4. Case study 4. Case study • The design team can use this quantified view result as an accurate indicator to guide the space planning. 5. Discussion and Conclusion Significances 1. Revealing difficulties in the conventional site observation, which support the promising approach of using computational technologies 2. Validating that • CIM can be a less expensive virtual platform supporting view assessment in architectural design and space planning. • Its outcome can confirm the qualitative result from physical site observation and add more details to facilitate precise and rapid decision-making throughout the entire architectural design process. 3. Confirming that its integration with the conventional assessment approach transforms the view assessment process from qualitative to mixed methods: combining qualitative and quantitative data. 5. Discussion and Conclusion Industry contributions • Developing CIM to be an assistive tool for quantitative view evaluation in architectural design • Providing the integrated model with practice examples Limitations • The proposed model is especially efficient for a site renewal or design within a less-changed complicated environment and area, like Hong Kong. • A view is merely one of numerous architectural design criteria. 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