{"id":33355,"date":"2017-09-22T14:00:00","date_gmt":"2017-09-22T14:00:00","guid":{"rendered":"https:\/\/architizer.com\/blog-test\/embracing-data-driven-design-with-behavior-modeling-2\/"},"modified":"2022-08-17T15:28:59","modified_gmt":"2022-08-17T19:28:59","slug":"embracing-data-driven-design-with-behavior-modeling-2","status":"publish","type":"post","link":"https:\/\/architizer.com\/blog\/practice\/tools\/embracing-data-driven-design-with-behavior-modeling-2\/","title":{"rendered":"Young Architect Guide: What Is Behavior Modeling in Architecture?"},"content":{"rendered":"

Architects: Want to have your project featured? Showcase your work by uploading projects to Architizer<\/a>\u00a0and sign up for our\u00a0inspirational newsletters<\/a>.<\/em><\/p>\u00a0<\/span><\/p>\n

Many designers approach the task of modeling as representing a static structure, but what they\u2019re really modeling is a place for things to happen. Thanks to substantial advancements in data processing, tools that can model both a space and<\/i> the things that happen there are becoming increasingly accessible to architects in the form of behavior modeling software.<\/p>\n

Behavior modeling programs employ complex algorithms that predict, with an impressive degree of accuracy, the way people will move through a space under a given set of conditions. They\u2019re most often used to analyze the design of buildings that accommodate large crowds, like transit centers and stadiums, though the range of events and decisions that can be modeled is quickly expanding. This means the range of scales and project types that can be analyzed is expanding, as well, increasing the usefulness of these programs to architects who incorporate them into their design process.<\/p>\n

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Pedestrian simulation on MassMotion; via Oasys<\/a><\/i><\/p>\n

Where did behavior modeling originate, and how does it work?<\/h2>\n

Historically limited to research groups like Space Syntax<\/a>, behavior modeling applications originated from partnerships between software companies and scientific institutions, such as SimWalk<\/a>, or from research and development efforts within large companies, such as Flow<\/a>, developed by engineering giant Arup<\/a>. The basis of the algorithms used vary slightly from program to program: Legion\u2019s SpaceWorks<\/a>, for example, is derived from thousands of hours of pedestrian video capture, while programs like STEPS<\/a> rely on proprietary methods checked against real-world studies and complex building code equations.<\/p>\n

What unites these programs is their reliance on agent-based modeling, in which individual people are represented by individual collections of data in a true one-to-one simulation. Factors such as a desire to pick the shortest distance between two points or avoid long lines are independently modeled across every agent in the simulation. The number of agents modeled and the factors affecting their decisions can range from one to hundreds of thousands, limited only by processing power.<\/p>\n

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Rendering of Beijing Daxing International Airport; via SkyscraperCity<\/a><\/i><\/p>\n

Zaha Hadid Architects<\/a>\u2019 design for a new airport in Beijing, for example<\/a>, underwent extensive pedestrian behavior modeling to test for bottlenecks in passenger flow through the large multi-modal facility. The layout of stairs and escalators in Dattner\u2019s design<\/a> for one of New York City\u2019s newest subway stations was revised<\/a> after simulations revealed a more efficient configuration. Even the complex science behind shopping behaviors, such as the degree to which people are attracted to a certain type of store or location, were modeled<\/a> by a Swiss retail operator to test the design of a new shopping complex inside a former office building.<\/p>\n

How are behavior modeling tools evolving?<\/h2>\n

Like most software these days, behavior modeling programs are also getting exponentially better at what they do. Over roughly the past decade, what used to be two-dimensional plan diagrams have become fully immersive 3-D models with realistic representation tools. Programs like Flow allow for extensive BIM integration, while STEPS has developed a simple user-friendly interface<\/a> that allows someone without any knowledge of the program (a client, say) to easily view and control a premade simulation in a fully rendered interactive presentation.<\/p>\n

Despite the promise of this technology, behavior modeling in architectural design typically occurs, if at all, as an added consultant service, intended to fix a design rather than generate it. The capabilities of these tools, however, means behavior modeling software holds a lot of potential for architects who decide to use it in-house, as part of their design process, because it supplants intuitive claims about how a space will be used with evidence-based simulations that support such claims.<\/p>\n

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Rendered simulation in STEPS; via Mott Macdonald<\/a><\/i><\/p>\n

How might behavior modeling be used by architects in future?<\/h2>\n

At the most basic level, behavior modeling could be used by architects to proactively test approaches that justify major design decisions right off the bat, as opposed to spot-fixing problems later through consultant review or missing issues entirely because an owner elects not to pay for analysis presented as the work of a third-party specialist. At best, behavior modeling could be used to generate major design decisions, partially automating tasks like synthesizing complex program requirements into a schematic layout.<\/p>\n

If this technology continues to advance at the current pace, it\u2019s not difficult to imagine a further push into the architect\u2019s purview. Decades-long research into tracking eye movements<\/a>, for example, paired with equally thorough databases that map a person\u2019s emotions<\/a> inside the brain, could expand the potential of behavior modeling to justify architectural designs that cause people to feel, or even act, in a certain way.<\/p>\n

In any case, the potential this technology holds is the capacity to replace some of the intuitive decisions of architectural design with evidence-based ones. Counter to the disenfranchising overtones of such a notion, this is a net positive for the profession, as it presents an opportunity for the practice of architecture to renew its relevance in a data-driven age. Architects who embrace this, and other evidence-based design tools, could delineate new boundaries for the depth of their work, raising the bar for architectural design quality around the world.<\/p>\n

Architects: Want to have your project featured? Showcase your work by uploading projects to Architizer<\/a>\u00a0and sign up for our\u00a0inspirational newsletters<\/a>.<\/em><\/p>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Algorithms can predict how people will move through a space under a given set of conditions.<\/p>\n","protected":false},"author":16,"featured_media":35892,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"architizer_featured_type":"insert","architizer_featured_image":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[2,6],"tags":[28701],"architizer_project":[],"architizer_brand":[],"architizer_firm":[],"architizer_product":[],"class_list":["post-33355","post","type-post","status-publish","format-standard","hentry","category-practice","category-tools","tag-young-architect-guide"],"acf":[],"yoast_head":"\nYoung Architect Guide: What Is Behavior Modeling in Architecture? - Architizer Journal<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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