Remote Sensing (Feb 2023)

Planning Walkable Cities: Generative Design Approach towards Digital Twin Implementation

  • Dewi Kumalasari,
  • Mila Koeva,
  • Faridaddin Vahdatikhaki,
  • Dessislava Petrova Antonova,
  • Monika Kuffer

DOI
https://doi.org/10.3390/rs15041088
Journal volume & issue
Vol. 15, no. 4
p. 1088

Abstract

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The idea of a walkable city refers to the extent to which the built environment encourages people to walk by establishing comfortable pedestrian routes, which allows people to connect to numerous services with reasonable effort and time. Walkability is currently regarded as a “good to know about” rather than a “must-have” factor for sustainable development. A combination of walkability with a standard design strategy, such as generative design, may result in a more efficient way of planning a walkable city. Interestingly, the sole indicator taken into account for walkability in the generative design domain is “distance to amenities”, while in reality, other parameters, such as the comfort factor, could also influence walkability. Therefore, in this research, we developed a workflow based on the generative design, which considers the comfort dimension in combination with distance to amenities and street-level greeneries. We also included the human perspective, given that walkability is always personal. This research successfully generated three different scenarios of walkability-optimal urban plans, where the highest walkability is 82.43 (very walkable). Furthermore, the baseline scenario of two different locations also aligns with people’s perspectives when compared. In addition, we found that the inclusion of a temporal dimension, enhanced 3D-related indicators, and constraints should benefit future research.

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