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A text mining approach to elicit public perception of bike-sharing systems

Transportation

A text mining approach to elicit public perception of bike-sharing systems

B. Kutela, N. Langa, et al.

Discover the insights from a groundbreaking study conducted by Boniphace Kutela, Neema Langa, Sia Mwende, Emmanuel Kidando, Angela E. Kitali, and Prateek Bansal, which utilizes a unique text network approach to analyze public perceptions of bike-sharing systems in Seattle. This research reveals the pros and cons of docked and dockless systems, highlighting user experiences and potential policy recommendations that could shape the future of urban transport.

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