483 / 2019-02-28 11:58:02
Data-driven Campus Design Support System
urban design;,geographic information systems (GIS),plannig support system,Performance-based design,Reinforcement Learning
全文录用
Perry Pei-Ju Yang / Georgia Institute of Technology
Helen W. Chen / Georgia Institute of Technology
Soowon Chang / Georgia Institute of Technology
Nirvik Saha / Georgia Institute of Technology
The paper explores how urban design is driven by data analytics for promoting energy efficiency and system resiliency. A new campus design is defined as a small-scale complex urban system of landscape, buildings and infrastructure, in which energy, water, transportation and information flow and function over a territory. Three questions are addressed: 1) What properties can we derive from modeling alternative scenarios, and effectively inform campus design decisions? 2) How do we optimize design options based on multicriteria objectives? 3) How can we use scenario evaluations and design optimization to generate a campus design, a process that traditionally relies on anticipation and synthesis from designers? Driven by the above questions, a campus site design was conducted based on three design approaches by anticipation, performance and optimization to focus on energy resilience. Future research will apply the multi-objective optimization method to examine campus buildings and infrastructure systems nexus, including energy, water and mobility, and derive emerging properties of complex urban systems for guiding design decisions.
重要日期
  • 会议日期

    07月08日

    2019

    07月12日

    2019

  • 06月28日 2019

    初稿截稿日期

  • 07月12日 2019

    注册截止日期

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