Ticketing Research

Mobile ticketing applications can be used by transit riders to purchase tickets directly on their smartphones.  Here are five of my recent research projects related to mobile ticketing.

NJ TRANSIT app1. Assessing NJ TRANSIT’s Mobile App for User’s Receptiveness to Geotargeting (2017). Authors: Brakewood and Paaswell.
Summary: NJ TRANSIT riders can use a smartphone application (“app”) to purchase tickets and access transit information. Most smartphones are equipped with technology that can determine the user’s location; by knowing a customer’s location, NJ TRANSIT could potentially provide customized information directly to passengers based on their location, which is referred to as geotargeting. The objective of this research project is to assess NJ TRANSIT passengers’ receptiveness to geotargeting in NJ TRANSIT’s mobile app.  For more information, read the report here.

2. Assessment of Mobile Fare Payment Technology for Future Deployment in Florida (2016). Authors: Georggi, Barbeau, Joslin, and Brakewood.
Summary: This report includes an industry scan of mobile phone fare payments. To collect and disseminate lessons learned from deployments in transit agencies nationwide, the research team selected five transit systems for interviews.  Based on insights gained from the interviews conducted with transit agencies, the research team developed a concept of operations (ConOps) that can be used by any transit agency to plan for deploying a mobile fare system. For more information, read the report here.

3. Use of Mobile Ticketing Data to Estimate an Origin-Destination Matrix for New York City Ferry Service (2016). Authors: Rahman, Wong and Brakewood.  
Summary: New mobile ticketing systems offer the opportunity to prompt riders about their specific trips when purchasing a ticket, and this can be used to track origin-destination (OD) patterns during the ticket activation phase. Therefore, the objective of this research is to utilize backend mobile ticketing data to generate passenger OD matrices and compare the outcome to OD matrices generated with traditional onboard surveys. For more information, read the paper here.

4. Planning for New Fare Payment Systems: An Equity Analysis of Smartphone, Credit Card, and Potential Mobile Ticketing Adoption by Bus Riders in Nassau County (2016).  Authors: Sion, Brakewood and Alvarado. 
Summary: Mobile ticketing systems typically utilize tickets that are purchased and validated on smartphones; however, not all transit riders have smartphones or other electronic payment media needed to make a mobile payment.  Subsequently, transit agencies want to understand rider adoption of smartphones, credit/debit cards, and other electronic payment media when planning for deployment of mobile ticketing systems. Therefore, the objective of this research is to assess access to mobile payments across different socioeconomic groups. For more information, read the paper here.

5. Forecasting Mobile Ticketing Adoption on Commuter Rail (2014). Authors: Brakewood, Rojas, Robin, Sion and Jordan.
Summary: Before investing in mobile ticketing technology, rail operators want to understand rider demand for mobile tickets. To assess the potential adoption of mobile payments, stated preference data from an onboard survey on two commuter rail lines in the greater Boston area were analyzed. The results suggest that 26 percent of commuter rail riders in Boston are very likely to adopt mobile ticketing. For more information, read the paper here.