## 2 Literature Reviews  
In the initial design phase, research supporting clients' decision-making on spatial configuration has been extensively conducted, and such decisions in the early stages of space arrangement significantly influence the final quality and cost estimation of a building [9]. However, studies on developing an environment that provides clients with explicit spatial understanding, construction cost estimation, and comprehensive building performance analysis at this stage are still limited. [PERSON] et al. and [PERSON] et al. [10; 11] provided an environment that enables the review of circulation, floor and elevation plans, along with construction costs during the initial design phase. However, clients continue to demand information for decision-making regarding budget appropriateness by reviewing not only construction costs from a financial perspective but also information on building maintenance costs through building performance analysis, such as energy consumption, at the early design stages. [PERSON] et al. [12] facilitated intuitive understanding of space for users by translating floor sketches into building components within a BIM model framework during the initial design phase. However, there is an additional need for an environment capable of generating the basis for decision-making support in budget management, such as construction costs and building performance analysis information. Recent studies emphasize the need for research focused on efficiently generating preliminary design models in BIM. This effort aims to firmly establish the spatial and performance criteria of buildings as defined by stakeholders. The objective of this research is to facilitate the effective creation of Building Information Modeling (BIM) models from sketches supplied by clients. The developed framework automates the translation of the sketched information into precise architectural elements, such as walls, floors, and roofs, in a BIM model. The resultant BIM models not only precisely reflect the requirements of the stakeholders--enhancing architects' grasp of their intentions--but also incorporate material attributes. This incorporation is crucial for the preliminary assessment of building performance, including energy consumption and cost estimation of materials, via the BIM models. As a result, the framework is instrumental in aiding the decision-making process for spatial planning and construction, ensuring that the initial design decisions are in line with both functionality and budgetary constraints. Developing a Framework for Data-Driven Generation of Building Information Modeling from Sketch Information  
To address the limitations identified in existing research, this study develops a framework that efficiently generates BIM models based on floor sketches reflecting clients' spatial requirements and effectively computes building performance analysis outcomes using the BIM models. Clients employ sketching tools to articulate spatial information, such as floor plan configurations and flooring shapes. This sketch information is utilized by the framework to automatically create 3D building components, including walls, floors, and roofs, within the BIM model, and the framework then automatically calculates material costs and annual electricity and gas energy expenses. Through the developed framework, stakeholders, including non-professional clients, can access the following functionalities during the early design phase. * Providing spaces constructed from 3D building components, enabling a more intuitive and explicit visualization of space than would be possible with 2D drawings and interior images. * Supplying a data model capable of efficiently conveying building performance analysis outcomes to stakeholders via the BIM model. * Presenting stakeholders with a detailed overview of specific spatial arrangements, direct material expenditures, and results of energy performance analysis.