Integrating public and private transport
For years the industry has been focused on implementing integrated multimodal smart ticketing for public transport. But customers make door-to-door journeys which public transport does not always support. The vision of Mobility-as-a-Service (MaaS) proposes over-the-top services that integrate all public/private transport options into a personalised model to enable the customer to travel from door-to-door as efficiently as possible, typically for a monthly account-based fee.
Enabling door-to-door travel services
Rapidly proliferating on-demand private transport and mobility services can bridge the gaps at either end of a public transport journey but they need to be integrated with public transport. What organisations, MaaS aggregators or others, can combine mobility providers into complete journey plans at best prices with a single payment for the customer and then reimburse all mobility providers that contributed to the customer's journey?
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Jerry Lim, Country Head,
Grab Vietnam
Jerry Lim is the Country Head of Grab Vietnam. He has overall responsibility for planning, directing and coordinating all operational activities for Grab's in-app booking service in Vietnam. He was previously the Head of GrabTaxi Singapore. Jerry has close to 10 years of experience in management consulting, solutions management and technology management across the Asia Pacific region. Throughout his career, he has been passionate about growing the open innovation culture in the region and inspiring the same passion in the next generation of leaders.
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This session will discuss:
- Shared mobility: how the shared economy can enhance mobility to solve transport congestion and infrastructure issues in Asian cities.
- Innovative mobility: optimizations to reduce waiting, overcrowding, number of stops; e-hailing versus waiting; on-demand shuttles.
- Flexible mobility: offering choice to customers such as, lowest-cost but longest journey vs. fastest but higher cost journey.
- Localised mobility: the importance of deep localisation, integration of local modes and optimisation to meet customer preferences.
