How to use data analytics to optimise on-demand transport

Supported by:

18 September 2019

Supported by:

18 September 2019


Reality is not always what it seems.

This is the scenario that transit agencies, operators, municipalities and cities confront on a daily basis, particularly in the realm of urban mobility. Cities are struggling with a long list of mobility challenges. As populations swell and infrastructure ages, cities face ever-increasing commute times and greater congestion. The influx of new ride-sharing and alternative modes of transport leaves transportation planners without the data and tools needed to plan for the future of urban mobility for its citizens. Moovit Urban Mobility Analytics gives administrators the detailed insights needed for effective decision making and optimisation in all aspects of their cities’ urban mobility. 

In this webinar, the speakers discussed what decision makers need to make the most cost-efficient and effective data-driven decisions for everyday urban mobility challenges and projects like on-demand transport.  


Real data is what a smart city needs

  • Riders benefit from convenient and seamless transit experiences, including both real-time and near-real-time on-demand services
  • Operators can plan and manage their fleet with unmatched accuracy and cost efficiency
  • Cities can introduce an innovative service to commuters, leverage dynamic route planning for near-real-time on-demand, increase ridership, reduce traffic congestion, and solve first- and last-mile challenges.


Yovav Meydad, Chief Growth & Marketing Officer – Moovit

Yovav Meydad is Moovit’s Chief Growth and Marketing Officer, responsible for growth, demand generation, design and branding, marketing, and corporate communications. Meydad has been with Moovit since 2013, where he came on board as Vice President of Products and Growth and he built and managed the product team, led the company’s product roadmap, and was a core contributor to the company’s growth from a million users to over 350 million.

Yovav has over 20 years of experience as an entrepreneur, general manager and product executive in venture capital-backed and public Internet companies in the U.S. and Israel.

Yovav holds a B.Sc. in Information Systems Engineering from the Ben-Gurion University, Israel.

Ben Galon, PhD, Head of Data Science Team – Moovit

Ben Galon is the Head of Moovit’s Data Science team. He joined Moovit in 2012 and led the trip planner team. In 2017 he was promoted to become head of our data science team where he leads a group of data scientists, algorithm developers and urban mobility specialists.

In his current position, Galon successfully helps transit agencies and operators, as well as cities and municipalities, understand mobility trends with greater accuracy, leading them to make the best data-driven decisions. This includes on-demand transport analyses, line performance studies, zone reports and more.

Specialising in the combination of spatial data and social data, Galon holds a PhD in Mapping and Geo-information Engineering from the Faculty of Civil and Environmental Engineering, within the Technion – Israel Institute of Technology.

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