The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Oct 2022)

GENERATIVE DESIGN FOR WALKABLE CITIES: A CASE STUDY OF SOFIA

  • D. Kumalasari,
  • M. N. Koeva,
  • F. Vahdatikhaki,
  • D. Petrova-Antonova,
  • M. Kuffer

DOI
https://doi.org/10.5194/isprs-archives-XLVIII-4-W5-2022-75-2022
Journal volume & issue
Vol. XLVIII-4-W5-2022
pp. 75 – 82

Abstract

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The walkable city concept is an extent to which the built environment motivates people to walk by providing comforting pedestrian ways, linking people to various amenities in a fair amount of time and effort. Currently, the implementation of walkability is limited to something "nice to know about" rather than a "must-have" criterion for sustainable planning. To address this issue, an integration between walkability and mainstream design approach, such as generative design, can be a solution. In addition, walkability in the generative design domain only considers one primary indicator: "distance to amenities". While in fact, other dimensions could represent walkability, namely the comfort dimension. In this study, we tried to combine distance to amenities and urban greeneries to represent the comfort dimension. Since walkability is highly personal, we also incorporated the human perspective. Furthermore, develop a workflow to integrate walkability and parametric modelling based on comfort dimensions to create walkability-optimal-urban-plans.