Abstract
This chapter is part of a research on algorithmic approaches to sustainable urban design. It focuses on the use of computational tools to provide quick and dynamic assessment while planning and discussing interventions in urban areas. The objective is to address the use of algorithmic systems to formulate effective strategies for sustainable urban projects, guided by Transit Oriented Development (TOD) principles. TOD is an urban development model that considers geometric principles and measurable parameters for designing sustainable cities. It advocates the creation of mixed-use neighborhoods within walking distance to a variety of transportation options and amenities, so that basic urban needs are easily accessible. In addition to establish a theoretical framework connecting algorithmic-parametric concepts and geometrical features of TOD, this chapter describes an experimental employment of algorithmic models working on TOD principles, in order to enhance a systematic and dynamic testing and subsequent argumentation for sustainable urban projects.
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