A professional ESG, policy & data analytics project exploring why Germany and peer EU countries struggle to meet climate targets — and what it reveals about modal shift, freight bottlenecks, and competitiveness.
Features real CO₂ data, infrastructure rollout trends, a policy gap matrix, country comparisons & expert recommendations.
Demonstrates advanced data science, ESG risk evaluation & regulatory analysis.
A data-driven sustainability project analyzing Germany’s transport sector as a deep dive — within the EU context.
Connects CO₂ emissions trends, modal share, EV charging rollout, and policy alignment.
Shows how policy inertia, freight challenges & modal stagnation threaten competitiveness and climate credibility.
📌 Based on my article:
👉 Left in the Dust – How Germany Fell Behind Green Transport
- About This Project
- What Makes This Project Unique
- Project Structure
- Notebook Overview
- Visuals
- Why This Matters
- Project Status
Uncovers why Germany’s transport sector:
- Misses EU climate targets despite strong industry
- Shows minimal modal shift (rail, bus, bike)
- Faces freight CO₂ bottlenecks and limited EV truck rollout
- Lags peer EU countries on policy alignment
- Needs data-based, measurable KPIs to restore credibility
Bridges policy analysis, data science & ESG financial risk.
✅ Combines real datasets (UBA, Eurostat, IFEU)
✅ Custom policy gap matrix & radar visualization
✅ Country-level focus + EU benchmark
✅ CO₂ tracking, modal shift, freight & infrastructure roll-out trends
✅ Final recommendations grounded in measurable policy impact
data/
transport_emissions.csv
modal_share.csv
charging_network.csv
policy_gap_matrix.csv
notebooks/
green_transport_analysis.ipynb
visuals/
banner_transport_gap.png
co2_trend_line.png
modal_share_bar.png
ev_vs_freight.png
radar_policy_gap.png
article/
germany_green_transport_gap.pdf
references/
ifeu_report_2023.pdf
eu_transport_targets.pdf
policy_documents_summary.md
requirements.txt
LICENSE
README.md
```` ``` ```
This Jupyter notebook brings together data analytics, ESG risk modeling, and policy evaluation:
- Loads and cleans datasets covering CO₂ emissions, modal share, charging network rollout, and policy targets
- Visualizes Germany’s emissions gap vs. climate targets
- Highlights modal share stagnation despite EU policy goals
- Plots EV charging infrastructure rollout against freight CO₂ emissions
- Builds a radar chart comparing Germany’s transport policy scores with EU targets
- Ends with conclusions and expert recommendations to bridge the performance and credibility gap
This project includes multiple data visualizations to make complex policy and emissions trends easier to understand:
- 📈 CO₂ Emissions vs. Climate Target (Line Chart) — shows the persistent emissions gap over time
- 🚗 Modal Share Change (Bar Chart) — compares the modal share of car, rail, bus, bike, and other modes between 2020 and 2023
- 🔌 EV Charging Rollout vs. Freight Emissions (Scatter Plot) — analyzes if increased charging infrastructure correlates with reduced freight CO₂ emissions
- 🕸 Policy Gap Radar Chart — visualizes how Germany's scores on key transport policy dimensions lag behind EU targets
Transport is Germany’s largest obstacle to meeting EU and Paris Agreement climate goals.
This analysis shows, with real data and advanced visuals, how policy gaps, slow infrastructure rollout, and limited modal shift undermine decarbonization targets.
By combining data analytics, ESG risk evaluation, and policy research, this project demonstrates how measurable insights can:
- Expose credibility gaps in green claims
- Guide policy adjustments for real-world impact
- Help investors and stakeholders track sustainable finance outcomes
It’s a live demonstration of how data-driven research can transform sustainability reporting from slogans to substance.
Aziz, S. (2025). Saveeza/green-transport-gap-policy-data-analysis-germany: Initial Zenodo Release — Green Transport Gap & Policy Analysis (Germany) (v1.0). Zenodo. https://doi.org/10.5281/zenodo.16148968
✅ Repo created & structured
✅ Data, visuals, notebook & references completed
✅ Article PDF uploaded: germany_green_transport_gap.pdf
✅ Final README & documentation done
Saveeza Aziz is a data analyst with a focus on sustainable finance and applied policy evaluation. Her work combines technical expertise in ESG scoring, EU Taxonomy alignment, and investment modeling to support real-world financial decisions. She has contributed to projects on the real estate market in Luxembourg, the green transport transition in Germany, and the credibility challenge of transition bonds held by Dutch pension funds. Her approach bridges regulatory frameworks and market performance through data-driven insights that are both practical and impact-focused — especially in areas like green finance accountability, disclosure enforcement, and policy-aligned investment strategies.
For questions, collaboration or full German summary — feel free to reach out!