Simulate every person, every trip, every scenario — and see the impact before anything is built.
Full feasibility study & cost-benefit analysis — start to decision.
Zero prior model. Five analytical layers.
Case studySee who stops using public transport, who switches modes, and what happens to ridership across the city — before any pricing decision is finalised.
See real simulated demand — not sketch-tool estimates. Who boards, who transfers, what gets duplicated, who gains or loses access.
See where EV charging demand will appear and when — based on individual trip patterns, not zone averages. Avoid overbuilding. Avoid underserving.
Model a climate zone, a congestion charge, a new corridor. See the distribution of impacts across income groups, age groups and districts — before the political vote.
replan.city runs in any browser. No installation. Results shareable via link — no software required.
Cloud-native. Share any result via link — no software for the recipient. Multiple team members work simultaneously. Results available the same day.
Built from public data — GTFS, OSM, Census. No custom data collection required to start. Add proprietary data later to increase precision.
GTFS in, GTFS out. Results export to GIS, Excel, dashboards. Feeds into full traffic models. Sits alongside your workflow — not instead of it.
Methods based on peer-reviewed research in agent-based transport simulation. Validated against real operational data. Published: Transportation Research Record 2025.
replan.city is the digital twin engine. Each application is purpose-built for a specific use case, simple to use without a modelling background.
Draw routes in the browser, see passenger-level analytics in hours. Not a sketch tool. Not a modelling system. The gap between them — closed.
Explore replan.transit →The core simulation layer — synthetic populations, scenarios, maps, GIS.
Talk to usA calibrated model as a deliverable — dashboard, report, 5 working days.
Talk to usCharging station siting and EV demand forecast. Know where before you build.
Talk to usSynthetic movement data for OOH planning and audience analysis. GDPR-compliant.
Talk to usEvidence for your specific question — in 2–3 weeks. Pricing on request.
13 pricing scenarios on a full Hamburg region model. Peer-reviewed Transportation Research Record 2025.
Full feasibility study completed in under 2 months. Five analytical layers.
Corridor-level demand and modal shift analysis run in-house — before any infrastructure decision is made.
From public data to a first running demand model in one working day. Validated against real operations. Ready for grant application.
30 minutes. We show your city modelled — and you walk away with a concrete plan for how replan.city fits your workflow.
1. Data controller
Replan GmbH, Kurfürstendamm 195, 10707 Berlin, Germany. E-Mail: sales@replan.city. Tel: +49 1573 9663909.
2. Data we process
When you visit this website, our hosting provider logs standard technical data (IP address, browser, timestamp) for security and operation purposes. We do not use advertising cookies, tracking pixels or third-party analytics on this site. If you book a demo via Calendly, your name, email and scheduling data are processed by Calendly Inc. (USA) under their own privacy policy. If you email sales@replan.city, we process the contents of your message to respond.
3. Legal basis
Art. 6(1)(f) GDPR (legitimate interest in operating this website and responding to inquiries) and Art. 6(1)(b) GDPR (pre-contractual measures, where applicable).
4. Your rights
You have the right to access, rectify, erase, restrict and port your data, and to object to processing. Please contact sales@replan.city. You also have the right to lodge a complaint with a supervisory authority (for Berlin: Berliner Beauftragte für Datenschutz und Informationsfreiheit).
Last updated: April 2026. This is a plain-language summary; please contact us for any specific question.