Python project for the Latin American Development Bank (LADB) exploring how urban mobility relates to economic productivity across global cities, combining TomTom traffic data with OECD economic indicators to support transport infrastructure investment decisions.

Tools: Python · Pandas · NumPy · Seaborn · Matplotlib · Data Merging · Exploratory Data Analysis

Project Context

Development banks and city planners need to understand whether traffic congestion is linked to economic performance in order to prioritize transport infrastructure investment across cities.

This project simulates the work of a data analyst at the Latin American Development Bank (LADB), combining urban mobility data from the TomTom Traffic Index with economic and environmental indicators from OECD Cities. The analysis focuses on the year 2024 and explores whether congestion, travel delays, and GDP per capita move together across cities worldwide.

Business Objective

The objective was to build a single clean dataset from two independent sources, focused on 2024, in order to:

• Calculate aggregated city-level mobility indicators from raw traffic records.
• Merge mobility data with economic indicators such as GDP per capita, unemployment, and population.
• Explore visually whether higher congestion is associated with stronger or weaker economic productivity.
• Generate findings that could support transport infrastructure investment decisions.

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Key analytical question: Do cities with higher GDP per capita also show higher traffic congestion, or does urban mobility depend on other factors beyond economic performance?

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Dataset & Methodology

Dataset

The analysis combined two real data sources covering urban traffic and city-level economics. The main fields used included:

• Traffic and congestion records by city (TomTom Traffic Index), including jam delays and travel times
• Annual economic and environmental indicators by city (OECD Cities), including GDP per capita, unemployment, population, and pollution

The two sources were linked by city and year to build a single comparable view of mobility and economic performance for 2024.