Education & Research
Educational subscription options
The Conveyal team collaborates with researchers and offers subscriptions for educational purposes. Please email support@conveyal.com if any of these options fits your needs:
- For instructional use (e.g. classes not funded by external sponsors), Conveyal covers student account creation, computation costs, and access to one geographic region and baseline transit network. This subscription option assumes a local contact handles basic support requests and serves as the point of contact with the Conveyal team. We can also offer an in-depth training for instructors and the local support contact.
- For research funded by external sponsors, contact us about reduced-cost subscription options.
- For select individual researchers and students (e.g. working on unfunded thesis projects), the Conveyal team grants subscriptions through our No-Cost use for Advocates, Researchers, and Students program. Alternative options include running our open-source software locally and using community support channels.
We’re eager to hear about additional cutting-edge applications, so we appreciate it when researchers send us a copy of any thesis, report, or paper produced using our software. We also request that such deliverables include acknowledgement with a link to conveyal.com and cite our publications, when relevant and appropriate.
Conveyal publications
The Conveyal team participates actively in the transportation research community, including through peer-reviewed publications:
- Kapatsila, Hindle, Stewart, and Grisé (2025): Counting in: A methodological framework for the accessibility assessment of on-demand transit, in Journal of Public Transportation
- Stewart and Byrd (2022): Half-(head)way there: Comparing two methods to account for public transport waiting time in accessibility indicators, in EPB Urban Analytics and City Science (open preprint)
- Stewart and Byrd (2021): Interactive Access for Integrated Planning, chapter 17 in Applications of Access
- Conway and Stewart (2019): Getting Charlie off the MTA: a multiobjective optimization method to account for cost constraints in public transit accessibility metrics, in International Journal of GIS (open preprint)
- Conway, Byrd, and van Eggermond (2018): Accounting for uncertainty and variation in accessibility metrics for public transport sketch planning, in Journal of Transport and Land Use
- Conway, Byrd, and van der Linden (2017): Evidence-Based Transit and Land Use Sketch Planning Using Interactive Accessibility Methods on Combined Schedule and Headway-Based Networks, in Transportation Research Record (open preprint)
Other publications and open-source community use
Academic researchers leverage Conveyal's cutting-edge methods and open-source software (including via the independent r5r and r5py wrapper libraries) for a wide range of innovative research. Recent examples include:
- Santana Palacios (2025): Unpacking data representation issues in distributional accessibility impact assessments: Lessons from Bogotá's urban gondola
- Larriva et al. (2023): Impact of Quito's first metro line on the accessibility to urban opportunities
- Guo et al. (2023): Evaluating Equity: A Method for Analyzing the Transit Accessibility of Affordable Housing Units
- Stewart and Zegras (2022): Interactive mapping for public transit planning: Comparing accessibility and travel-time framings
- Santana Palacios and El-Geneidy (2022): Cumulative versus Gravity-Based Accessibility Measures: Which One to Use?
- Cui et al. (2022): All ridership is local: Accessibility, competition, and stop-level determinants of daily bus boardings in Portland, Oregon
- Allen and Farber (2021): Changes in Transit Accessibility to Food Banks in Toronto during COVID-19
- Shen (2021): Uneven Mobility: Injustice in Accessibility and Urban Experimentation; SE Michigan Accessibility Explorer; MIT MST + TPP graduate and Conveyal NoCARS awardee
- Fried et al. (2020): Measuring the Sustainable Development Goal (SDG) Transport Target and Accessibility of Nairobi’s Matatus
- Lock, Bain, and Pettit (2020): Towards the collaborative development of machine learning techniques in planning support systems – a Sydney example
- Buijs, Koch, and Dugundji (2020): Using Neural Nets to Predict Transportation Mode Choice: An Amsterdam Case Study
- Zegras et al. (2020): Scaling Up Innovative Participatory Design for Public Transportation Planning: Lessons from Experiments in the Global South
- Meyer de Freitas et al. (2019): Modelling intermodal travel in Switzerland: A recursive logit approach