Transit Agencies

Why Replica?

Transit agencies depend on Replica to augment their own ridership data with detailed information on where people are traveling, why they are traveling, who they are, and what mode they are using for their travel activity. 

Agencies can make meaningful improvements to transit systems, tailor services to meet demand, and win prospective riders.

With calibrated trip data for over 300 agencies and 11,000 routes, Replica is the source transit agencies can trust.

MTA New York City Transit
Massachusetts Bay Transportation Authority
N Transit

Top Use Cases

Transit Agencies depend on Replica for:

Service planning

Based on origin-destination studies of trips and purposes, not just home location

Gap analyses

To identify locations and hours that would most benefit from expanded service

Equity analyses

To understand average commute times and barriers to work for underserved portions of the population

Financial planning

To identify potential impacts of fare and schedule planning

Route & stop profiles

To understand typical purposes and rider characteristics

Mode shift analyses

To understand where it is most effective to meet local goals around mode shift and VMT

Replica in Action

Micro-mobility Planning

Micro-mobility Planning

Metropolitan Transportation Authority, NY

In January 2023, the MTA released Extending Transit's Reach, a strategic action plan to enhance bike, ped, and micro-mobility access to transit stations and other MTA facilities. 

The plan’s recommendations were informed by an Equity Index and a Demand Index, which depended on multi-modal data from Replica.

One of the key lessons learned was that Replica data can effectively supplement other data sources in developing a comprehensive understanding of travel patterns throughout a defined study area.

Grant Applications for Station Upgrade Funding

SEPTA, Pennsylvania

SEPTA utilized Replica data to win a $30.5M grant from the Federal Railroad Administration.

SEPTA used Replica’s seasonal demographic data to supplement their in-house ridership data. 

Replica data enabled SEPTA to understand not only who is boarding/alighting at Cornwells Heights but also who is riding along the Trenton Line in its entirety (i.e., demonstrating the network effects of the proposed investment), thereby strengthening the case for equity as it pertained to the grant application.

Grant Applications for Station Upgrade Funding
Rider Equity Analysis

Rider Equity Analysis

Regional Transit Authority (RTA), Illinois

The Chicago Regional Transit Authority (RTA) used a Replica analysis of the demographic and socioeconomic breakdown of the ‘L’ and CTA bus ridership to better understand the inequities of commutes across different cohorts of the city’s population. Among the findings: On the Red Line, Black commuters’ travel (see right) to work takes, on average, nearly 25% longer than white residents’ travel; (see left), culminating in an annual average of 125 hours of extra commuting — time spent away from their families and participating in their local community.

Learn More?

Contact us to learn how Replica can help bring insights like these to your organization.

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