path animation

Dubai is one of the world's hottest cities

42°C +

Record highs of the past decade

In cooling path we investigate how to find comfortable routes under the heat.

Our algorithm compares the shortest against the coolest paths throughout the city.

We combine outdoor, shaded, and indoor paths throughout the seasons.

tree icon

Tree

building icon

Building

interior icon

Interior

On average we find that the coolest path is only

1.3%

longer than the shortest path

Emirates Towers Seasonal Paths

Emirates Towers Metro Area

Indoor spaces included in the coolest paths

The Gardens Seasonal Paths

The Gardens Metro Area

Unique seasonal routes for each cooling path

cooling path

In Cooling Path we develop a methodology to evaluate pedestrian walking environments by comparing the alignment of the shortest and optimal shadiest paths around metro stations in Dubai. Unlike existing models that apply a constant shade reward, our optimal shadiest path algorithm assigns dynamic rewards to buildings, trees, and indoor shade, better reflecting real-world conditions.

We also highlight the often over-looked role of indoor paths in enhancing pedestrian thermal comfort. The results reveal that, on average, the optimal shadiest path is only 1.3% longer than the shortest path, with an 8.8% decrease in sun exposure. Our study demonstrates the importance of pathfinding research to uncover comfortable paths for pedestrians in hot, arid environments.

team

  • Carlo Ratti director
  • Jianxiu Wen research lead
  • Diaa Addeen Abuhani co-lead research
  • Martina Mazzarello research supervision & design management
  • Fábio Duarte research supervision & design management
  • Alaa AlRadwan SCD lab lead & project coordinator
  • Leslie Norford research supervision
  • Martina Mazzarello research supervision & design management
  • Elizabeth McCaffrey web & vizualization

publication

Wen J., Abuhani DA., Mazzarello M., Duarte F., Norford L., Xu R., Wong NH., Ratti C. (2025). Walking Smart in the Heat: A Dynamic Shade-Oriented Pathfinding Approach to Enhance Pedestrian Comfort in Arid Cities. Computers, Environment and Urban Systems.

press

Download the Press Materials

The material on this website can be used freely in any publication provided that:

  • It is duly credited as a project by the MIT Senseable City Lab
  • A PDF copy of the publication is sent to senseable-press@mit.edu

For more information,
senseable-contacts@mit.edu

in collaboration with

Dubai Future Foundation LOGO