Selected Layers to Analyse:

Luxembourg City is a small capital from the country with the same name, river Alzette & Pétrusse divide the urban area into 3 important sectors. For this analysis, I decided to create a radio from the town center and then I divided the city into 4 main layers which are rivers, green areas, existing buildings, and the main roads. the four inputs were analyzed using Ladybug to create a solar simulation and Decoding spaces to create a mobility simulation.

Solar Building Analysis

Using Ladybug I created a sunlight hour Analysis, we can see graphicly the radiation scale which seems critically hitting the existing buildings. To recreated the solar analysis was necessary to use an EPW file that contents the solar radiation data given from 2004 – 2018 for Luxembourg City. The analysis without green areas is mainly used to compare with a second solar analysis which includes parks and vegetation.

Attaching green areas as a shapefile, then converting in points to finally becoming as trees, I add another factor to calculate into the solar analysis, and as we can see parks and vegetation has a positive effect spreading solar radiation reducing the direct solar impact. Comfort temperatures are more common in areas where vegetation is nearby.

Grasshopper Code:

Mobility Analysis:

Using decoding spaces I created simulation mobility in which two scenarios are created, the lower limit animation creates saturated street traffic and how is it going to behave. On the other hand, we have the upper limit animation which shows the opposite about how traffic goes down to create more fluid zones to move into the city. With this analyze we can have an idea of how mobility can be improved to create smart transportation or other strategies to improve circulation in the metropolitan area of Luxembourg.

Lower Limit Animation:

Upper Limit Animation:

Grasshopper Code:

General Grasshopper Code:

Computational Urban Analysis of Luxembourg City is a project of IAAC, Institute for Advanced Architecture of Catalonia developed at Master in City & Technology in 2020/21 By Student: Ivan Reyes Faculty: Eugenio Bettucchi & Iacopo Neri.