In this second article of our two-part series, we use data from our ongoing travel surveys to explore how income fits within the larger ‘diversity data gap’.
Jerome leads the growing data science team at Spare and is the driving force behind Spare Realize, Spare’s cutting edge microtransit planning tool. He holds a Ph.D. in Environmental Science from the University of Oxford and an MPhil in Polar Studies from the University of Cambridge. Prior to joining Spare, he was a Postdoctoral Research Fellow at the University of British Columbia, where he worked on computational simulations of smart cities and epidemiological research.
We uncover trends about how mobility relates to income, based on a treasure trove of mobility and economic data we’ve collected in our biannual travel surveys.
What is transit planning and how do data-rich tools enable agencies to deliver more sustainable, profitable and equitable systems?
Rapid prototyping allows transit planners to imagine various scenarios for new microtransit projects before they launch, resulting in optimized services tailored to riders’ needs.
Spare, the world’s leading provider of on-demand mobility software, is proud to share the newest release of Spare Realize, its intuitive,data-driven simulation tool for microtransit.
Collecting information about riders and their needs is vital to the success of any mobility service. But what is mobility data, how do you get it and what’s the best way to use it?
We dig deep into a large travel survey of Spare riders, to unpick important issues around gender, age, ethnicity and disability in public transportation and microtransit specifically.
We surveyed our riders and found that introducing microtransit induces a significant amount of new trips, removes private vehicle trips from our roads, and provides a safer and more convenient transit experience.
The shocks of the COVID-19 crisis and the BLM protests have been testing for the transit industry. By digging into our ridership data from around the world, we find that microtransit services have bounced back quicker than mass transit.
Come on a journey with us. Explore the difficulties and opportunities in unravelling cause and effect, within the scope of an on-demand transit system! Jerome Mayaud Jerome Mayaud Lead Data Scientist at Spare More posts by Jerome Mayaud.
Ultimately, this kind of analysis helps us to adjust our algorithms and user interfaces to improve the service for each and every one of our customers.
In many parts of the world, fixed route transit is in dire straits. We propose a radical new idea to reverse its decline: use microtransit data to smartly redesign fixed transit routes.
We put the theory of 'flipping transit on its head' into practice, using data from one of the largest on-demand microtransit services in the world.
Your wealth, education and race determine your exposure to the COVID-19 virus on public transit.
Without data-driven planning, transit agencies risk designing transportation systems that work for nobody. Spare Realize, our cutting-edge transit planning tool, is here to provide a guiding hand.