LOCATION DATA SOLUTIONS FOR MOBILITY

Plan for the future of transportation with location-based data

MOBILITY

The Mobility as a Service (MaaS) market size is poised to reach USD 210.44 billion by 2026 as reported by Fortune Business Insights.

Quadrant’s location intelligence solutions help Mobility as a Service (MaaS) companies, such as mapping, transportation and mobility applications, to understand how the world moves and to optimise their product offerings and services.

  • Industry leading companies in the mobility analytics and services sector choose Quadrant to power their solutions

  • High-quality mobile geo-location data of more than 350 million monthly active users and counting

 

High-quality mobile location data that delivers

Our clients rely on our high-quality data to explore, analyse and understand consumers behaviour, geo-characteristics, visitation patterns.

Speak to a data consultant today!

LOCATION DATA FOR MOBILITY

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Optimize Public Transportation

- Design transportation models using evidence-based location intelligence

- Create and adjust new dynamic models based on real-time location data to optimize routes, reduce expenditures and improve passenger satisfaction

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Location Intelligence for Shared Mobility Platforms

- Develop passenger prediction models based on historical data and density frequency

- Optimize pick-up and drop-off locations, using predictive capacity analysis to understand expected movements of targeted audience

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Understand Visitor Travel Patterns For Touristic Destinations

- Understand travellers' duration of stay in the identified areas / zones to create relevant ticket promotions

- Understand travellers' preferred modes of transportation across land, air and sea

What can location data do for your business?


Speak with our data consultants to find out how Quadrant's solutions can help with your analyses.


Uncover new business opportunities and optimise your business processes with Quadrant's high-quality location data.

Photo by Daniel von Appen on Unsplash

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