Sep-2020

Study proposes new method to extract travel patterns from different public transport systems, based on a temporal motif. Researchers then developed a scalable algorithm to recognize temporal motifs from daily trips sub-sequence from two smart card datasets. 

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Jul-2020

Study makes use of data from the Camp de Tarragona automated fare collection system to study tourist's use of public transportation in Costa Daurada in 2018. The study identifies different clusters of passengers based on their activity and spatial profiles. Differences between profiles are significant, and due to this, the study validated the method which can be used in other contexts. 

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May-2020

Study evaluating the benefits of smart ticketing for both operators and passengers. Operators found that less time was spent collecting fares - presumably lowering dwell times. Passengers were found to have spent less time purchasing a transport pass - possibly resulting in time savings for them.

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Apr-2020

Study into the effectiveness of the Movingo integrated ticketing scheme in Sweden. Investigated the extent to which public transport use increased, use satisfaction and perceived quality of the service. Found that both satisfaction and public transport use increased as a result of the scheme. 

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Apr-2020

Study evaluating the feasibility of Bluetooth Low Energy (BLE) for smart ticketing purposes. The researchers tracked passengers’ trips from start to finish as part of a check in/be-out system. Results suggested the BLE is feasible for use in smart ticketing. 

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Mar-2020

Study focused on the implementation of local bus policy in Britain (excluding London). The study examines four case studies in four different cities - Tyne and Wear, Glasgow, Solihull and Dundee. The paper finds that policy champions, collaboration and relationship-building interaction help to ensure effective delivery. 

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Sep-2019

Study investigating passengers' travel patterns through the lens of stability and mobility, developing a system for clustering transport users. The study also makes use of socioeconomic data to discuss the interdependence between stability and mobility. 

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Jul-2019

Study aims to identify and cluster commuting patterns by making use of smart card data and traditional household survey data in Nanjing, China. Research found that some socioeconomic attributes, as well as bus station density, metro lines, transfer mode and transfer distance can significantly impact commuting patterns. 

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May-2019

Study focused on passengers intention to use smartcards. Perceived value, performance expectancy and facilitating conditions had the most positive impact, whilst effort expectancy and social influence did not have an impact on likelihood to use the card. 

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May-2019

Study makes the case against policies of austerity and competition which have been applied to the UK's local public transport systems. The study urges for greater coordination within the sector to tackle social, environmental, financial and sustainability issues.  

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Apr-2019

Research into the demographics of the users of smartcards on the Metro Manilla Light Rail Transit Line. Study finds that groups with higher levels of education and a stable income/job are more likely to use a smart card, and that those with lower levels of education and an unstable income/job are more likely to use a single journey ticket. Additionally, the study considers the impact of the 'sachet economy' - in which goods are purchased in smaller quantities more frequently with the goal of more effective budgeting. This may explain why many lower income users prefer single journey tickets. The study suggests the consideration of this culture to produce smart ticketing solutions for lower income groups.

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Apr-2019

Study makes use of a method for revealing the structure of cities via clustering analysis using a new similarity measure. Researchers apply the method to data for Seoul, South Korea, revealing that the proposed clustering process divides the city in relatively homogenous areas in terms of land use. 

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Apr-2019

Study making use of smart ticketing to analyse user behaviour. Study classifies three types of users: Annual pass users - who are largely commuters, Monthly pass users - who generally had a regular and diverse use of transport, and Ticketbook users - who were generally occasional transit users. The study did find some exceptions to these findings however, such as consistent Ticketbook users and. users with 4 day work weeks

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Dec-2018

Research into the level of convenience for ticketing types used by public transport systems. The study develops a method of quantifying ticket convenience and concludes that methods of ticketing that make use of contactless bank cards are more convenient than traditional smart ticketing technologies. 

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Nov-2018

Study investigates if policies and projects aimed at decentralizing urban structure and job-worker patterns have produced a more balanced spatial configuration of jobs and workers. The paper finds that only a temporary balance appears around a few stations, that job-worker rations tend to steepening, not flattening and that the polycentric configuration of Beijing can be seen from the spatial patterns of job centres identified. 

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Jun-2018

Study into the extent to which bus service partnerships can lead to improvements in bus services. The study finds that partnerships have increased investment and provided for greater communication between operators and authorities, leading to constructive augmentation of a typical market-based model. 

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Apri-2018

Paper provides an overview of Bus Services Act 2017, within the context of the deregulation that occurred during the 1980s. Study suggests that the act represents a shift from the extreme emphasis on competition between operators to having a greater emphasis on partnerships between operators and local government. 

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Jan-2018

A study into the Verkehrsverbund model for transport operations. The model focuses on integration between services, and collaboration between operators and local governments. The study praises Verkehrsverbunde for improving quality and quantity of public transport services, increasing public transport mode share and reducing subsidies as a percent of revenue.  

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Jan-2018

Study intends to develop a system of prediction for determining if a transport user will make another trip, and if so, the attributes of said trip. The researchers tested their methodology using smart card records from over 10,000 users in London, over two years. The model was able to achieve median accuracy levels of over 80%, with the study finding the first trip of the day hardest to predict. The study also found significant variations found across individuals, implying diverse travel behaviour patterns. 

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Jun-2017

Paper presents a concept for an integrated mobile payment, route planning and social network platform for public transport. The concept aims to incorporate various features together to improve transport user experiences. The concept was tested in Porto, Portugal using a mobile app called OneRide. Results showed that users found the app to be highly valuable, with some users taking time to adapt to the concept. 

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