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RTA introduces smart winter seasonal schedules to enhance maritime transport for tourists and residents in Dubai

This initiative encompasses all maritime transport services and routes, including Dubai Ferry, Abra, and Dubai Water Taxi
RTA introduces smart winter seasonal schedules to enhance maritime transport for tourists and residents in Dubai
The scheduling adjustments are made in collaboration with the Business Development and Planning Department at the Public Transport Agency. (Photo Credit: RTA)

Dubai’s Roads and Transport Authority (RTA) is set to roll out the ‘Winter Seasonal Network’ operational schedule for its maritime transport services. This initiative harnesses big data to assess daily passenger behaviors and synchronize them with trip schedules and service frequencies, catering to various seasons and events.

Comprehensive coverage of maritime services

This initiative, Dubai Media Office reported, encompasses all maritime transport services and routes, including Dubai Ferry, Abra, and Dubai Water Taxi. The operational hours will be tailored to reflect seasonal variations. They will also consider the movement patterns of residents, tourists, and visitors throughout the year. The scheduling adjustments are made in collaboration with the Business Development and Planning Department at the Public Transport Agency.

Characteristics of the seasonal network

The seasonal maritime transport network is marked by corporate agility, effective operations, adaptability to seasonal plans, and precise timetables that comply with leading international industry standards.

Read more: Sheikh Hamdan issues decision appointing CEO of Strategy and Corporate Governance at RTA

Leveraging big data for operational efficiency

The RTA has initiated this winter strategy by utilizing big data. This data offers comprehensive insights into marine transport services. It includes information on passenger volumes, revenue streams, and detailed occupancy statistics. These insights enrich service development studies and significantly enhance network efficiency.

Enhancing flexibility through data analysis

By analyzing patterns in marine transport usage, the incorporation of big data allows for increased flexibility in the preparation and execution of the seasonal network initiative. In addition, the established operational methodology includes predictive analytics to examine network data and forecast the effects of adjustments, flexible schedules, and trip frequencies on passenger numbers, occupancy rates, revenue, and ridership.

Development of a flexible operational strategy

Moreover, the project involved the creation of internal algorithms. It also included the analysis and processing of big data from various sources. Additionally, a flexible operational strategy for the marine transport network was formulated. This strategy aims to align future maritime operations with customer demands. It also seeks to anticipate emerging passenger trends in the sector.

This initiative is designed to ensure service sustainability. It also aims to address customer needs. It also seeks to enhance the occupancy rates of maritime transport and reduce operational costs.

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