Study on the Multimodal Urban Transit System Design

Commuters in dense urban ecosystems face fragmented transit systems that require multiple disjointed applications to plan, track, and pay for a single journey. This fragmentation increases cognitive load, navigation anxiety, and transfer friction, most acutely across the first- and last-mile legs where live schedule information is often missing or unreliable. This study examines mulfimodal urban transit as an end-to-end user-experience problem rather than a purely infrastructural or telemetry one, focusing on how a unified interface can lower the switching costs commuters incur when moving between metro, bus, micro-mobility, ride-hailing, and walking. The work adopts a user-centered research design incorporating user interviews, contextual inquiry, taskbased usability testing, and systemic service mapping. These methods informed the development of an integrated multimodal transit platform that unifies real-time route optimization, multi-agency ticketing, and contextual guidance across multimodal transition nodes into one continuous flow. The study demonstrates that a unified transit user experience significantly lowers the switching costs of commuters' mental models and improves commuter efficiency across complex transit networks. By consolidating dynamic journey planning, micro-mobility integration, interoperable digital ticketing, and clear posttrip management into a single interface, the proposed system reduces the friction that fragmented tools currently create for daily urban travel.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-12
DOI
https://doi.org/10.5281/zenodo.22720401
Primary Topic
Human-Automation Interaction and Safety
Type
article
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article

Study on the Multimodal Urban Transit System Design

Chaitanya Gandhi, Aashi Saxena, Pari Singh, Ruchi Gaur
Zenodo (CERN European Organization for Nuclear Research)
Human-Automation Interaction and Safety
article

Study on the Multimodal Urban Transit System Design

Chaitanya Gandhi, Aashi Saxena, Pari Singh, Ruchi Gaur
article en

Abstract

Commuters in dense urban ecosystems face fragmented transit systems that require multiple disjointed applications to plan, track, and pay for a single journey. This fragmentation increases cognitive load, navigation anxiety, and transfer friction, most acutely across the first- and last-mile legs where live schedule information is often missing or unreliable. This study examines mulfimodal urban transit as an end-to-end user-experience problem rather than a purely infrastructural or telemetry one, focusing on how a unified interface can lower the switching costs commuters incur when moving between metro, bus, micro-mobility, ride-hailing, and walking. The work adopts a user-centered research design incorporating user interviews, contextual inquiry, taskbased usability testing, and systemic service mapping. These methods informed the development of an integrated multimodal transit platform that unifies real-time route optimization, multi-agency ticketing, and contextual guidance across multimodal transition nodes into one continuous flow. The study demonstrates that a unified transit user experience significantly lowers the switching costs of commuters' mental models and improves commuter efficiency across complex transit networks. By consolidating dynamic journey planning, micro-mobility integration, interoperable digital ticketing, and clear posttrip management into a single interface, the proposed system reduces the friction that fragmented tools currently create for daily urban travel.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 6%
Human-Automation Interaction and Safety
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