Evaluating the Impact of Digital Transformation on UrbanPublic Transit Efficiency
Keywords:
Digital Transformation, Public Transit, Urban Mobility, Predictive Maintenance, Smart CitiesAbstract
This study examines the role of digital transformation technologies—specifically automated fare collection, real-time vehicle tracking, and predictive maintenance algorithms—in enhancing urban transit efficiency. Analyzing operational data across three metropolitan transit systems over a 24-month period, the findings indicate a 14% reduction in schedule variance and an 8% decrease in maintenance downtime. These results highlight the efficacy of data-driven infrastructure in optimizing public transport networks.
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