Sep-2022

Study into the features of mobile ticketing applications used by train operators in the United States. Study compared the applications through four categories: the ticket validation process, ticket types offered in the app, additional features in the app and the process for transferring to other modes using the app. 

Download

Jun-2022

Study investigating willingness to pay among public transport users for a multi-county, multi-operator integrated ticket. Study finds strong evidence that passengers are willing to pay, especially among men and non-commuting passengers. 

Download

May-2022

Study intends to improve short -term forecasting of public transport demand, using AI-based deep learning models for prediction of bus passenger demands based on real patronage data obtained from the smartcard ticketing system in Melbourne. Study found that the models were able to predict passenger demand with over 90% accuracy.

Download

May-2022

Literature review into the studies concerning end-user benefits of transit apps for use on smartphones. Study covered the time period between 2010 and 2020. The study identified three categories of user benefits: Perception and psychological changes, time savings on trips, and travel behaviour changes. The review found that transit apps had the capability to improve perceptions of transport reliability and safety, reduce anxiety, reduce wait times and boost ridership. The study recommends future studies to adopt more rigorous study designs and methods, to study infrequent and non-riders, to consider the captive users (e.g. rural users who rely on infrequent transport services)and to make more use of empirical evidence to quantify benefits of public sector transport apps.

Download

Apr-2022

Study investigates ticket inspection preferences and identified factors that may influence a user's likelihood of accepting "seamless" ticket inspection. Study found that, given the five inspection options, women and young people selected "seamless ticket inspection". The study recommends further research on aspects surrounding "seamless ticket inspection".

Download

Apr-2022

Study conducts a comprehensive literature review to understand the state of public transportation and to facilitate the development and implementation of automated fare collection solutions. In summary, the paper considers developing and implementing automated fare collection solutions to have a positive impact on customer experience, the emergence of new business models and the reduction of polluting emissions. 

Download

Mar-2022

Study intends to identify distinctive market segments in terms of habitual temporal travel patterns of public transport users, making use of smart card data from more than  3 million smart card holders in Stockholm County, Sweden. The study classified 10 day-of-the-week comparisons, as well as 5 hour-by-hour weekly profiles. 

Download

Feb-2022

Study on the extent to which car commuters are likely to use public transport following the implementation of integrated ticketing. Study finds integrated does promote transport use, especially among male car commuters. Study suggests integrated ticketing should take greater role in efforts to induce public transport use.  

Download

Feb-2022

 Review into safety on buses, intended to understand current weaknesses of current bus safety measures, to develop best practice recommendations for improvement and to provide an overview of how to address safety challenges in the bus system. 

Download

Sep-2021

Paper investigating how franchising, classified as a "formal institution", and bus partnerships, classified as an "informal institution", handle the "unintended consequences" of a deregulated market. Includes an overview of the recent history and current state of the bus market in Britain. 

Download

Sep-2021

Study makes use of smart card data mining to compare the urban transit movements of low income residents with middle/high income residents. Research finds that most lower income residents start their journey between 05:00 - 07:00, whilst higher income residents start between 07:00 - 09:00. Paper suggests that the empirical evidence from this paper shows the potential of smart card data to infold low employment spatial and temporal patterns.

Download

Jun-2021

Study into how ticketing data can be used to analyse usage patterns at a major transport hub. Data can be used to analyse both long and short term horizons and takes into account major events such as the pandemic and significant strikes. 

Download

Jun-2021

Study into the influences on digital payments in the EU. Research finds that level of digital payments is dependent on the degree of mobile device usage as well as the level of financial inclusion provided through electronic banking services. 

Download

Apr-2021

Study investigates public transport usage by older adults in Shizuoka, Japan, using smart card data to develop user-monthly profiles to explore seasonal variability and day-to-day variability. Research finds that older adults in the younger group (65-74) and in highly developed areas were more likely to frequently use public transport, with little seasonal variation. Additionally, day-to-day variability seems to increase with age and level of area development.  

Download

Apr-2021

Study proposes new method, making use of smart card data, to determine the impact long-term planned disruptions have on passenger travel behaviour. The method was applied during a 3 month closure of a rail line in the Greater Copenhagen area. Results suggest that the number of passengers who commuted daily decreased after the disruption. 

Download

Mar-2021

A study in the factors that have impacted local bus demand, also looks into how these could increase demand. Factors investigated are: fares, service frequencies, journey time, car ownership and use, competing or complementary relationships with other modes and overall user experience. The report also looks into three case studies in Wales.

Download

Mar-2021

Study develops a method to analyse the elasticity of travel demand in relation to public transport fares. The study made use of a fare policy introduced by the regional administration of Stockholm county in January 2017, which replaced a zonal fare system, with a flat fare. The study used smart card data to determine that lower socioeconomic groups seemed to be less sensitive. Additionally, the simplification and unification of the fare scheme seemed to substantially increased the attractiveness of public transport use. 

Download

Dec-2020

Study intended to examine how urban spatial structures evolve, specifically focusing on incentives behind movement dynamics. The study makes use of network community detection and smart card data from the years 2013, 2015, and 2017 from Greater London. Study found that London's urban structure has become more polycentric and compact, that Greater London can be clustered into five distinct communities based on characteristics of passengers' travel patterns, and that the dynamics of structural change in different urban clusters differ in both changing intensity and potential motivation. 

Download

Sep-2020

Highlights increasing gap in research into how smart mobility systems can be used to tackle transport disadvantages and inequalities. Conducts literature review into relevant technologies, and uses this to formulate a framework to aid potential researchers in understanding the relationship between concepts. 

Download

Sep-2020

Study addresses the applicability of the temporal segmented data identified in 18 clusters for measuring the stability of users' temporal habits as well as conducting descriptive analysis of the clusters, fare types and dates of the week to support their findings. 

Download