How mobile location data is enabling post-pandemic recovery in transportation

Picture of Suman Joshi

Cities worldwide are dealing with rapid urbanization, changing travel patterns, and most recently the aftermath of a global pandemic. As cities sprawl outwards to form low-density localities, it is difficult and expensive to serve these suburbs. Transit systems were also one of the worst-hit sectors by Covid-19, and post-pandemic recovery has been complicated due to remote and hybrid working. 

location data for transportation

Improving the state of public transportation systems with actionable location intelligence

Monitoring human mobility in correlation with changing urban characteristics can be a powerful tool for transport agencies to make accurate predictions about demand and run a profitable operation. Quadrant’s customer and partner, Innovate Mobility, is a leading transit consultancy that works with city administrations, public works departments, and transportation companies to deliver data-driven mobility design and planning services.

Innovate Mobility has created a unique offering they call the first-ever Software-with-a-Service transit practice. With their expertise in providing actionable intelligence with big data, they have helped many transit agencies modernise public transportation, focusing on experience, access, sustainability, and resilience. 

The company aims to redesign public transit to create more equitable and accessible communities and improve daily commuting. Innovate Mobility has partnered with Quadrant to obtain mobile location data to enable their mobility research, analysis, and reporting, based on which they create exhaustive and actionable intelligence reports for their customers. 

Learn how Innovate Mobility helped the City of Fairfield, California, perform comprehensive operational analysis and build a long term roadmap to improve and expand their transit services

Innovate Mobility worked with the city's public works department to help them understand changes in mobility patterns pre- and post-Covid, and redesign their transit services. Innovate Mobility powered its sophisticated, custom analysis models to highlight the gaps between supply and demand in Fairfield’s public transit network using high-quality, ethically sourced mobile location data. 

Before partnering with Quadrant, Innovate Mobility worked with several location data vendors. However, those vendors were either rigid regarding data delivery formats or were not compliant with data privacy regulations. We wrote a case study that examines some of the city’s challenges and goals, and how Innovate Mobility helped the city:

  • Identify popular travel patterns by feeding raw location data to custom signal processing and clustering algorithms. 
  • Evaluate gaps in the existing public transit network and how well it served various areas.  
  • Isolate low-density routes that would be better catered to by cost-effective microtransit, creating a sustainable, environment-friendly service infrastructure.
  • Determine where vulnerable segments of the population live and what their public transport experience is like, and more.

These results of the analyses allowed the city to strategise the recovery and expansion of public transportation with actionable insights and secure $1 million in federal grants.

Download the complete case study to learn more.

Innovate mobility analysis snippet

“When we created our company, the goal was to look at transit analysis in a different way. We wanted to make sure that we could help our clients modernize their services using big data and custom-built tools. We selected Quadrant after an exhaustive search based on their ability to provide real, meaningful data, that respected the privacy of the users”.

– President, Innovate Mobility

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