Our next session will be on the topic Understanding Urban Mobility for Sustainable Cities: A Case Study on Travel Behavior and Mode Choice in the City of Porto, by Beatriz Cavaleiro.
This session will take place on Tuesday, 13th of November, at 12.00 p.m. in room L119 and will be chaired by Marta Campos Ferreira.
Abstract
Urban mobility is a key factor in achieving Europe’s climate, environmental, and social goals. The European Commission’s New Urban Mobility Framework 2021 emphasizes a shift towards sustainable, inclusive, and efficient mobility systems, highlighting the importance of collective and active transport, zero-emission urban logistics, and improved connectivity between urban and rural areas. Sustainable Urban Mobility Plans (SUMPs) play a crucial role in this strategy by integrating transport planning with climate, energy, and spatial strategies. The implementation of sustainable mobility policies may face significant social, economic, and cultural challenges that need to be carefully assessed. Understanding the distribution of transport modes used by the population for both daily and long-distance trips is fundamental to evaluating the sustainability of a transport system. Several factors influence the population’s choice of transport mode; some are related to the availability of infrastructure and services, while others are more social in nature, linked to demographic structure, economic activity, or spatial patterns.
Based on these considerations, this study focuses on the municipality of Porto, the second-largest city in Portugal, using data collected from a mobility survey conducted at the end of 2024, which yielded a total of 4,749 responses. The primary objective is to explore mode choice patterns and examine their correlations with sociodemographic variables, providing data-driven insights to support the development of more sustainable and inclusive transport strategies. Following a comprehensive literature review, the survey data was pre-processed using the CRISP-DM methodology to ensure consistency and reliability. Exploratory data analysis, including descriptive statistics and contingency tables, was conducted to identify mobility patterns and their association with sociodemographic variables. These relationships were further validated through Chi-square tests of independence. Hierarchical clustering was then applied, revealing four distinct groups with unique sociodemographic and mobility profiles. The findings offer data-driven insights to inform targeted mobility policies, contributing to sustainable urban development and aligning with broader European goals for climate neutrality and transport efficiency.
Beatriz Cavaleiro loves challenges that combine analysis, strategy, and innovation. She earned her M.Sc. in Services Engineering and Management from the Faculty of Engineering of the University of Porto (FEUP) in 2025, where she developed her dissertation in collaboration with the Alliance for Energy Transition (AET) project. She also holds a B.Sc. in Industrial Engineering and Management from the Porto School of Engineering (ISEP), obtained in 2023. Beyond her academic achievements, Beatriz has dedicated 15 years to classic and contemporary dance, achieving first place in a solo performance at Dance World Cup 2016 in Jersey (UK). This experience gave her discipline and determination, which she now carries into her professional role.


