During the Master in City & Technology + Thesis Project, students have the unique opportunity to work for an additional time of 9 months on an Individual Thesis Project, focused on the development of one research or pilot project based on the student’s interest. IAAC supports the student in selecting their Thesis Project topic in order to better orient them according to their future career interests and opportunities. Each student is assigned one or more Thesis Advisors that follow the development of the work throughout the year.
The Data Think workshop successfully gathered insights into how we can assess images of urban spaces and rank them through different indicators. For our group, we saw that different environments impact accessibility and mobility for various demographic groups, including vulnerable populations. By engaging in a ranking exercise using photographs, we identified key factors influencing accessibility:
2nd research, Comparison masterplan Tokyo by Kenzo Tange vs the existing Tokyo Why Tange Kenzo Tange, as you know, is one of the most famous architects in the world. He has left behind many architectural works in Japan and around the world, He is also an urbanist. In planning the master plan for Tokyo, he … Read more
Pictures and symbols are valuable tools to communicate data. Pictures contain input data and representative symbols, generated from points, capture outputs. Pictures, or raster images, are often not geolocated and lack methodological explanation. Here, using the Bitmap+ plugin, pictures of urban conditions are tapped for the data they contain using the coloration of the image … Read more
The Balearic islands had been a pioneer in the tourism industry since 1960s. The tourism model from them has been spread out to the world due to its international tourism traffic. They are still attracting high amount of international tourists and tourism is still the engine of the local economy. In this context, tourism is … Read more
This exercise undertakes developing a shortest path simulation on varied terrains. Starting with basic point-to-point movements, I integrated agent behavior, enabling these agents to make decisions and take actions to move towards the destination point by choosing the best available option. The development of the simulation follows agent movement behaviors from two separate algorithms: Movement … Read more
The seminar involved analyzing texts to extract and interpret a key term, then creatively visualizing this concept through the blending of urban textures and landscapes, crafting surreal cityscapes that reflect the nuanced meanings of these terms. The texts explored the themes of: Urban Resilience Definition: The capacity of urban areas to adapt to crises, focusing … Read more
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The “WILDLIFE PATHWAYS” is based on the “GREEN ALLY” project, that was developed at IAAC in the framework of the Master in City & Technology program, during the Internet of Cities Studio directed by Mathilde Marengo, Eduardo Rico, and Iacopo Neri. It provides a data informed approach that helps to integrate ecological needs within the … Read more
Unraveling Footfall Patterns for Enhanced Urban Planning: A Spatial and Temporal Analysis Introduction Footfall prediction plays a crucial role in urban planning decision-making processes. Understanding the intricate relationship between footfall and its two dimensions—space and time—is essential. In this project, we delve into the workflow and key findings of a project aimed at comprehending the … Read more
INTRODUCTION Urban planning decisions have a significant impact on the development of cities, and using machine learning can provide decision-makers with valuable insights to make informed decisions. By clustering urban areas based on various factors such as population density, built density, POI density, green cover, and build diversity, we can reveal spatial patterns that can … Read more
