Transit Trip Patterns
The first step, which also forms the basis for analysis and scenario simulations is the production of trip patterns.
Transit agencies typically have access to some mix of passenger count data, ticket sales data, travel card data, etc., which all provide information about passenger activity. Counts provide valuable information about total passenger volumes at specific locations, but nothing about which passengers are being counted or the origin or destinations of these passengers.
Travel card data, on the other hand can provide very detailed insights into a certain segment of transit rider activity – but frequently no information about total volumes.
Transit Analyst can help to overcome such limitations by using multiple data sources intelligently to produce a combined and detailed database, which provides a detailed description of all aspects of passengers’ trips.
This is accomplished by using a passenger route choice model, which simulates all trips is the transport system and automatically calibrates the simulation to fit all of the observed data.
In addition to very detailed total ridership data, the database of passenger trips also provides very detailed descriptions of all individual trips generated in the modelling system. This data is easy to analyze and visualize and is a very valuable data foundation for agency planners.