Data Infrastructure for Sustainable Mobility in a Smart City: Providing Affordable, Fast, and Green Mobility in a Zero-emission Mega-city


Courses & Events

Data Infrastructure for Sustainable Mobility in a Smart City: Providing Affordable, Fast, and Green Mobility in a Zero-emission Mega-city

Tuesday, Apr 18, 2023

04:30 pm - 05:50 pm

Mobility as a Service (MaaS) platforms, compared with on-demand mobility platforms such as Uber, is seen as the next generation smart mobility model that will transform the urban mobility landscape to be greener, faster, and more fiscally sustainable. MaaS aims to address cities’ emission, congestion, and fiscal budget challenges by attracting the public away from car travel. However, three key questions remain. On the supply side, how to provide attractive and greener mobility options that are of comparable convenience to car travel. On the demand side, how to incentivize people to switch to greener mobility options which are primarily based on train, bus, cycling, and walking. And on the business side, how to operate a city-level MaaS platform sustainably.

This talk shows the real-time PAIR MaaS data platform and demonstrates PAIR’s approach towards providing affordable, fast, and green mobility. The platform process streaming data at the scale of ten-million daily trips in Chengdu, one of the top 10 Chinese megacities, where their platform is guiding the transport regulator and operators with actionable data insights to optimize for seamless integration of subway, bus, and shared bike services. The platform has also built a trip-level carbon accounting engine for each green mobility trip, which will enable a Green Mobility Token (GMT) system based on carbon emission reductions. Using the GMT to access bus lanes or priority book taxis, commuters are entitled to future savings in trip time by switching to greener mobility options. As a result of higher ridership in the subway and bus systems, annual economic potential at the scale of billion US dollar is possible in each of these megacities, and greatly reduces the cities’ fiscal burden in subsidizing public transport operators. Chinese megacities, facing the fiscal stress in the aftermath of COVID, are searching for MaaS solutions to increase public transit ridership and save billion-dollar per city in annual subsidy.

Join Dr. Richard Dasher and Dr. Andy Zheng for a fireside chat to learn more about PAIR CITY‘s  role in enabling communication and data transfer which will be essential for smart cities.


These sessions are open to the public to attend in-person or by Zoom.

To attend by Zoom, please register at <https://stanford.zoom.us/meeting/register/tJYvcOipqDMuGd1Bx07g2Oxc7pFdfVy967PN>. This will register you for the entire 8-week series and the same link will be used for all sessions. After registering, you will receive a confirmation email containing information about joining the meeting series. You may cancel at anytime.

To attend in-person, please RSVP at <https://www.eventbrite.com/e/data-infrastructure-for-sustainable-mobility-in-a-smart-city-tickets-609845573527>.



  • Stanford University, Paul G. Allen Building, Allen 101X Auditorium, 330 Jane Stanford Way, Stanford, CA 94305 [Google Map]

Parking options:

  • Via Ortega Garage, 498 Via Ortega, Stanford, CA 94305 [Google Map]
  • Parking Structure 5, 295 Campus Drive, Stanford, CA 94305 [Google Map]
  • Please check parking signs carefully to ensure that permitted parking and metered spaces are free after 4:00 pm.

Session Recordings are typically posted within 3 business days after each session on our Youtube Channel and the course page here.


Dr. Andy (Cheng) Zheng

Chief Scientist, PAIR CITY

Dr. Andy Zheng is the founder and chief scientist of PAIR CITY that built the PAIR mobility as a service (MaaS) big data platform, with the vision of providing affordable, fast, and green mobility choices in a people-centric smart city. Similar to the “Microsoft Windows” operating system, PAIR’s cloud-based MaaS platform can be quickly ready for city-level services within 1 week after deploying the software in the transport data centre.

Together with Rufino Escasany, Andy founded the Singapore-based Aspiring Citizens Cleantech in 2018, which had operations in 4 megacities in China and Buenos Aires in Argentina before the COVID outbreak.

Andy is also an adjunct fellow at the Lee Kuan Yew Centre for Innovative Cities in Singapore, working on the Smart Scaling initiative that believes in inclusive and scalable smart city innovations. His research interests in renewable energy and innovation have led him to focus on researching and developing novel data-driven solutions that optimize energy use and minimize carbon footprint in a smart city context.

He earned his PhD in Mechanical Engineering from the University of California Berkeley in 2014. He has been appointed as the Chief Technical Advisor for Chengdu’s Smart Mobility Initiative, as well as the first MaaS system for the FISU World University Games, taking place in Chengdu in July 2023.


Seminar Slides

Slides from the seminar are available in a variety of formats for you to download. Click the links below to open or download the slide files.


Seminar Video

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