Mitigating the negative impact of new buildings on existing buildings' user comfort-a case study analysis.

IF 1.3 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Vinu Subashini Rajus, Nicolas Arellano Risopatron, William O'Brien, Gabriel Wainer, Stephen Fai
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引用次数: 0

Abstract

Campus master plans are released every few years for developing and implementing its physical infrastructure. Open spaces, compactness, connectivity, greenness, and environmental impact have often been the focus on its framework. In particular, the effect of new building development on existing buildings' occupant comfort and design intent is mostly ignored. Providing guidelines to retain existing users' comfort for stakeholders involved in design decision making will result in improved design decisions. Hence, this research aims to provide a work methodology to mitigate the adverse effects of new buildings on existing buildings' user comfort through a case study at Carleton University. The case study shows a methodology to retain the existing users' comfort by analyzing Carleton University's master plan on massing studies, occupant survey to understand their comfort needs, performance analysis of the impact of the new building on the existing building user comfort. The analysis reveals the key parameters to consider in design for occupants' comfort. Finally, the research reinforces the generative design and the need for dynamic modeling in campus master plans to mitigate the negative implications of new development on occupants' comfort.

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减轻新建建筑对现有建筑用户舒适度的负面影响——案例分析。
校园总体规划每隔几年发布一次,用于开发和实施其物理基础设施。开放空间、紧凑性、连通性、绿色性和环境影响往往是其框架的重点。特别是,新建筑开发对现有建筑的居住舒适度和设计意图的影响大多被忽视。为参与设计决策的利益相关者提供保持现有用户舒适度的指导方针将改善设计决策。因此,本研究旨在通过卡尔顿大学的案例研究,提供一种减轻新建筑对现有建筑用户舒适度的不利影响的工作方法。该案例研究通过分析卡尔顿大学的总体规划、住户调查以了解他们的舒适需求、新建筑对现有建筑用户舒适度影响的性能分析,展示了一种保持现有用户舒适度的方法。分析揭示了在设计中要考虑的关键参数,以提高乘客的舒适度。最后,该研究强调了生成设计和校园总体规划中动态建模的必要性,以减轻新开发对居住者舒适度的负面影响。
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来源期刊
CiteScore
3.50
自引率
31.20%
发文量
60
审稿时长
3 months
期刊介绍: SIMULATION is a peer-reviewed journal, which covers subjects including the modelling and simulation of: computer networking and communications, high performance computers, real-time systems, mobile and intelligent agents, simulation software, and language design, system engineering and design, aerospace, traffic systems, microelectronics, robotics, mechatronics, and air traffic and chemistry, physics, biology, medicine, biomedicine, sociology, and cognition.
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