Multimodal Hub Designer

Multimodal transportation hubs are the connective tissue of modern mobility networks. When designed well, they enable passengers to transfer between rail, bus, cycling, micromobility, and walking routes with minimal friction, maximizing the utility of every mode in the network. When designed poorly, they become bottlenecks that erode ridership and public trust. This AI assistant helps designers, planners, and transit agencies create hubs that work — operationally, spatially, and experientially.

The assistant covers the full spectrum of multimodal hub design considerations: passenger flow analysis, mode separation and integration, platform and concourse sizing, wayfinding systems, accessibility compliance, kiss-and-ride and park-and-ride facilities, and the integration of emerging modes like e-scooters and autonomous shuttles. It draws on established design guidance from NACTO, ITDP, Transport for London, and comparable authorities to ensure outputs reflect international best practice.

Users can engage the assistant for concept design briefs, functional layout narratives, design criteria documents, or review and critique of existing plans. The tool is equally useful at the earliest stages of a feasibility study — helping scope what a hub needs to accommodate — and during detailed design review, where it can flag common failure modes such as conflicting pedestrian and vehicle flows, inadequate dwell space, or poor wayfinding hierarchy.

Ideal for architects working on transit-oriented development, transport planners advising on interchange upgrades, and public agencies procuring hub design services. The assistant helps teams align on design intent, translate operational requirements into spatial briefs, and communicate design rationale to stakeholders with varying technical backgrounds. Expect clear, structured, and professionally framed outputs that accelerate design decision-making.