Hi! I am a Senior Researcher in the Ecological Systems Design group at ETH Zurich, working on transport, land use and sustainability, with one question in mind: how does where people can go shape how they travel, and what does that travel cost and give us?
My work follows that question along a chain. I measure the built environment and accessibility at the resolution at which people experience it, for every mode and across whole countries. I use that measurement to understand travel behaviour, from aggregate demand to the choices people make between modes and destinations. And I carry the results through to outcomes: emissions and energy use, but also cost, access, and who gains and who loses, because a mobility system is there to give people reach, not only to be clean. I came to transport from the impact side, trained in environmental engineering and in data science and policy at MIT’s Institute for Data, Systems, and Society; the methods are those of transport modelling, spatial analysis and econometrics, the purpose is to know what the travel does.
Models should be as complex as necessary, but as simple as possible, and open enough for others to check and reuse. Much of what I build is therefore public: aperta, a Python library for calibrated, multimodal accessibility analysis, the national datasets [1, 2] built with it, and tools such as carboncounter.com. You’ll find them under Tools and Data.
In my spare time, you'll sometimes find me behind the viewfinder of a camera, especially when travelling. I've allowed myself to share a couple of pictures. Enjoy!
Researcher (Oberassistent), Lecturer | Transport Planning · Urban Analytics · Impact Assessment
Chair of Ecological Systems Design
ETH Zürich
marco@miotti.me
CV
Tools and Data
aperta
aperta is a Python library for multimodal accessibility analysis at any spatial resolution. It routes walking, cycling and car trips on OpenStreetMap networks and calibrates them against travel survey or GPS data, so that the typical experienced speed, junction delay and congestion along every edge are fitted to observed door-to-door travel times rather than assumed. On top of the calibrated networks it computes accessibility as cumulative counts, nearest-k costs and gravity measures, in distance, travel time or generalized cost; the generalized costs come from a mode-choice model, which makes accessibility comparable across modes and lets it be combined into a logsum. It is written for researchers and planners who need accessibility measures they can reproduce, recalibrate and transfer to a new region.
aperta is currently prerelease; expect a first mature version with a stable API at the end of 2026. The pipeline built on it, aperta-atlas, is described below.
National accessibility surfaces and underlying calibrated networks
I've built an end-to-end accessibility pipeline based on aperta called aperta-atlas. For Switzerland, it turns public inputs (OpenStreetMap, the federal population and employment registers, and the national transport model) into two open datasets: calibrated walking, cycling and car networks, whose speeds, junction delays and congestion are fitted to observed travel times from the national travel survey and GPS tracking, and accessibility surfaces for the whole country on a hexagonal grid of about 15,000 m² per cell, for 18 destination types and seven mode profiles including e-bikes and reduced-mobility walking. Accessibility is given in distance, door-to-door travel time and generalized cost, so that modes can be compared and combined into a logsum.
All fitted coefficients are released with the data, so the surfaces can be reproduced from public inputs alone, recomputed for specific population groups, or run for another region where OpenStreetMap exists. Both datasets are prerelease (v0.2.0); a data descriptor is in preparation, and a first stable release will follow with aperta's.
Carboncounter.com
Carboncounter.com is a website that lets users compare the lifecycle emissions and costs of new cars against other cars and against climate targets. In 2023, I updated it with more recent electric vehicle model information.
A European version, developed in collaboration with myenergy Luxembourg, can be found at carboncounter.lu.
I built carboncounter.com using AngularJS and D3.js as an interactive version of figure 1 in our Environmental Science & Technology article.
In the News
- · 2023-04-18 Which electric vehicle is right for you? Check out our guide.
- · 2023-02-17 Just How Good for the Planet Is That Big Electric Pickup Truck?
- · 2022-06-09 Fact check: Lifetime carbon emissions lower for electric vehicles than gas-powered cars
- · 2021-01-15 Electric Cars Are Better for the Planet – and Often Your Budget, Too
- · 2018-12-12 Electric cars claim to be cheaper and greener. But are they?
- · Letter · 2017-11-20 Reality is that most EVs emit less CO2 than petrol cars over their lifetimes
- · 2016-09-27 An App to Help Save Emissions (and Maybe Money) When Buying a Car
- · 2016-09-28 New MIT app: check if your car meets climate targets
- · 2016-09-27 It May Not Cost You More To Drive Home In A Climate-Friendly Car
- · 2016-09-27 Low-emission cars a better value than polluters · study
Publications
Peer-Reviewed Journal and Conference Publications
- · Transportation · 2026 Efficient and representative door-to-door travel time estimation for planning and policy
- · Environmental Research Letters · 2026 Determinants of electric vehicle emissions savings and costs across locations and individuals
- · Tranport Policy · 2026 Rethinking cost–benefit analysis for transformative cycling policies: integrating behavioral change and the logsum method
- · Preprint Fast and scalable traffic volume estimation using modified betweenness centrality
- · Environment and Planning B: Urban Analytics and City Science · 2025 Building energy consumption and urban form: A multi-temporal empirical investigation
- · Applied Energy · 2023 The impact of urban form on daily mobility demand and energy use: Evidence from the United States
- · 2023 ASCE International Conference on Computing in Civil Engineering Exploring the Empirical Relationship Between Urban Form and Building Energy Use
- · Energy Proceedings · 2022 Computationally Efficient Algorithm to Enable Privacy Preserving Urban Energy Data Sharing Under the “15/15” Rule
- · Hawaii International Conference on System Sciences (HICSS) · 2021 Modeling aggregate human mobility patterns in cities based on the spatial distribution of local infrastructure
- · Transportation Research Part D: Transport and Environment · 2021 Quantifying the impact of driving style changes on light-duty vehicle fuel consumption
- · Transportation Research Board 97th Annual Meeting · 2018 Quantifying Reductions in Personal Vehicle Energy Consumption Due to Driving Style Changes
- · Transportation Research Record: Journal of the Transportation Research Board · 2017 TripEnergy: Estimating personal vehicle energy consumption given limited travel survey data
- · Journal of Water Resources Planning and Management · 2017 Water Supply Infrastructure Planning: Decision-Making Framework to Classify Multiple Uncertainties and Evaluate Flexible Design
- · Environmental Science & Technology · 2016 · *authors contributed equally Personal vehicles evaluated against climate change mitigation targets
- · International Journal of Life Cycle Assessment · 2015 Integrated environmental and economic assessment of current and future fuel cell vehicles
Book Contributions
- · MAY 2025 · ETH Zurich Effects of an E-Bike City · in: The E-Bike City: Designing sustainable streets
- · MAY 2025 · ETH Zurich Sustainability assessment of battery supply chains and externalities in e-bike mobility · in: The E-Bike City: Designing sustainable streets
- · 2015 · VDF Hochschulverlag Zurich Work Package 4: Environment · in: Energy from the Earth: Deep Geothermal as a Resource for the Future?
Technical Reports
© 2016-2026 Marco Miotti. marco@miotti.me