Article ID Journal Published Year Pages File Type
526610 Transportation Research Part C: Emerging Technologies 2011 12 Pages PDF
Abstract

Smart card automated fare collection systems are being used more and more by public transit agencies. While their main purpose is to collect revenue, they also produce large quantities of very detailed data on onboard transactions. These data can be very useful to transit planners, from the day-to-day operation of the transit system to the strategic long-term planning of the network. This review covers several aspects of smart card data use in the public transit context. First, the technologies are presented: the hardware and information systems required to operate these tools; and privacy concerns and legal issues related to the dissemination of smart card data, data storage, and encryption are addressed. Then, the various uses of the data at three levels of management are described: strategic (long-term planning), tactical (service adjustments and network development), and operational (ridership statistics and performance indicators). Also reported are smart card commercialization experiments conducted all over the world. Finally, the most promising research avenues for smart card data in this field are presented; for example, comparison of planned and implemented schedules, systematic schedule adjustments, and the survival models applied to ridership.

Research highlights► Smart card automated fare collection systems are being used more and more by public transit agencies. ► Smart card systems obey to different hardware standards, but software is usually closed and site specific. ► Smart card data can be useful to transit planners and researchers. ► Smart card data can be used for strategic, tactical and operational tasks. ► Most researchers agree that more can be done with the data: destination estimation, network performance, travel behavior. However, socio-demographic data on individual are usually not available.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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