An Adaptive Workflow to Generate Street Network and Amenity Allocation for Walkable Neighborhood Design
Yang, Yang; Samaranayake, Samitha; Dogan, Timur
This paper proposes a novel generative workflow for walkable neighborhood design. Key components of the workflow include automating the process of parsing the map data, building contextual models with population and amenity data, conducting an integrated mobility simulation, and generating a street network and amenity allocation plan accordingly. The proposed framework is versatile and adaptive by allowing designers to tune simulation parameters and customize the decision-making process. The applicability and effectiveness of the workflow are tested in a pedestrian-oriented neighborhood design case study. Three scenarios that adapt to different design goals and boundary conditions are presented. This research equips designers with capabilities to co-design of mobility solutions and urban form early on in the design process. Further, it can be leveraged by more stakeholders in sectors such as real estate, public services, and public health to make decisions as the urban built environment has a fundamental impact on all these fields.
The authors would like to thank Cornell CTECH for funding this research
Proceedings of the Symposium on Simulation for Architecture and Urban Design 2020
conference papers and proceedings
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