Seyedeh Atefeh Asad
The use of mobile phone data to characterise the mobility patterns: challenges and limits.
Rel. Cristina Pronello. Politecnico di Torino, Corso di laurea magistrale in Digital Skills For Sustainable Societal Transitions, 2024
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Abstract
Reducing carbon emissions in the transport sector is essential for the EU to reach its climate targets. EU policies focus on promoting sustainable mobility while ensuring that regions across Europe remain well-connected. To effectively shape these sustainable transport systems, it is essential to understand the mobility patterns and the motivations behind them. Travel behaviour – which includes choices about when, where, and how individuals travel – directly influences the flow of people and goods, and is shaped by factors like transport alternatives, personal preferences, and geographic location. The rapid evolution of data collection methods has opened new possibilities for analysing and modelling these behaviours, offering deeper insights to support efficient and sustainable transport systems.
In this context, this research aims to examine and compare the potential of two different data collection methods for understanding travel behaviour
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