The Solution
To take advantage of data insights, transit agencies need to adapt their data analytics approach. That understanding comes with advanced analytics tools, such as Passenger Movement Analysis (PMA).
The PMA supports a variety of analysis to help agencies build a full picture of traveler mobility, including:
- Average passenger volume across different days, times, and periods,
- Inferences for destination and linked segments in a journey, and
- Demand estimation and planning.
PMA starts with a focused effort to consolidate the right data for monitoring current (and historic) state of the transit network, followed by an iterative application of advanced analytics tools to form a complete picture of passenger movements.
The Results
A solid understanding of the end-to-end journey helps cities in four major ways:
1. Allows cities to perform equity analysis to ensure transit-poor areas remain top of mind and inform investment into new transit services or expanding existing mobility programs.
2. Helps ciites estimate the impact of various investments, such as alternative modes like micromobility programs.
3. Enables city decision-makers to identify and prioritize areas and routes in need of subsidization.
4. Informs city policy for promoting regional mobility programs such as road user charging, congestion pricing, mobility pricing or MaaS.
