Air MI

Air MI

AIR MI is a service designed to mitigate cyclists' exposure to air pollution by integrating IoT sensors into the Bike Mi bike-sharing network. These sensors, in conjunction with fixed monitoring stations, provide real-time air quality data across the city, empowering cyclists to make informed route choices.


Goal: The primary objective of AIR MI is to enhance cyclists' health by reducing their exposure to air pollutants through data-driven route recommendations and fostering a community for knowledge sharing.


Approach: The project combines IoT technology, real-time navigation, and user engagement to address pollution concerns. AIR MI offers three key functionalities: air quality monitoring via "Air Coach", smart route recommendations through "Smart Healthy Navigation", and a community-driven platform through "Eco Bike Community". The approach was based on user research, field studies, and iterative design testing.

Client

Client

Air MI

Air MI

Service

Service

Service & UX Design

Service & UX Design

Sector

Sector

Master Thesis

Master Thesis

Year

Year

2022

2022

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Urban cyclists are often unaware of air pollution levels on their routes, which can lead to significant health risks.

AIR MI solves this problem by providing cyclists with real-time air quality data and suggesting routes that avoid high pollution areas. Through the "Air Coach" feature, users can track the air quality along their routes, while "Smart Healthy Navigation" dynamically recommends the healthiest paths. Additionally, "Eco Bike Community" allows cyclists to share their experiences and collaborate on making their commutes more sustainable.

AIR MI solves this problem by providing cyclists with real-time air quality data and suggesting routes that avoid high pollution areas. Through the "Air Coach" feature, users can track the air quality along their routes, while "Smart Healthy Navigation" dynamically recommends the healthiest paths. Additionally, "Eco Bike Community" allows cyclists to share their experiences and collaborate on making their commutes more sustainable.

The project demonstrates the effectiveness of integrating environmental data into urban mobility solutions, showing that real-time, data-driven tools can enhance the cycling experience while promoting sustainable commuting.

In this project i managed all stages of the project, including user research, strategy development, and defining the business model. I was responsible for designing and iterating on multiple interface proposals, conducting user testing, and synthesizing feedback to create an effective and intuitive user experience.

In this project i managed all stages of the project, including user research, strategy development, and defining the business model. I was responsible for designing and iterating on multiple interface proposals, conducting user testing, and synthesizing feedback to create an effective and intuitive user experience.

Credits

Credits

Relatore tesi

Relatore tesi

Innocenzo Rifino

Innocenzo Rifino

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