AI-based neural network models for bus passenger demand forecasting using smartcard data
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.
The end-user benefits of smartphone transit apps: a systematic literature review
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.
Seamless public transport ticket inspection: Exploring users’ reaction to next generation ticket inspection
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".
Survey of automated fare collection systems in public transportation
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.
Every Village, every hour - 2021 buses report
Mar-2021
Report into the viability of improving bus services in rural areas, with a focus on providing a bus every hour, seven days a week to every village. Report recommends continuing emergency bus funding, recognising a universal basic right to public transport, establishing bus regulations, providing funding in the order £2.7bn per year, redirecting road building funding towards bus provision, ensuring rural public transport is low or no cost and to investigate how England might move to a Swiss-style pulse model of transport scheduling.
Unravelling individual mobility patterns using longitudinal smartcard data
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.
Beep4Me: Automatic ticket validation to support fare cleaning and service planning
Feb-2022
Study concerning how a cross-operator revenue sharing integrated ticketing service might function. Study highlights the difficulty in finding a system which all operators could agree on. Study presents a solution (Beep4Me) which aims to automate the process of ticket validation and solve issues with other methods of revenue sharing.
Examining the effect of integrated ticketing on mode choice for interregional commuting: Studies among car users
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.
Strategic analysis of current bus safety issues
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.
Partnership or franchising to improve bus services in two major English urban regions? An institutional analysis
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.
Big data for big issues: Revealing travel patterns of low-income population based on smartcard data mining in a global south unequal city
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.
Back the Bus to Level Up
Sep-2021
Report into post-pandemic recovery for buses, uses models to predict different scenarios for growth in passenger volumes and vehicle kilometres after the pandemic. Advocates for funding reform to keep pace with transformation being brought forward by post-pandemic improvements.
Supporting local authorities to improve local use and expand zero emission bus provision
Sep-2021
Report into how the Bus Back Better strategy might be achieved. The report finds that the capacity and capability to deliver the strategy varies greatly between authorities, that it is unclear how zero emission vehicle standards will be enforced in local authorities which have enhanced partnerships, that there is uncertainty about funding cycles, making local authorities postpone investment decisions and that there are gaps in knowledge concerning the acquisition of zero emission buses.
Mining metro commuting mobility patterns using massive smartcard data
Aug-2021
Study develops a method to mine metro commuting mobility patterns via massive smart card data. Study found that metro commuters accounted for 41% of morning peak traffic in Chongqing, discovering three typical job-housing function patterns and three commute efficiency patterns are discovered, with the characteristics of each being mined.
What can we learn from 9 years of ticketing data data at a major transport hub? A structural time series decomposition
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.
The route ahead: getting passengers back on buses
Jun-2021
Report aiming to understand how perceptions and experiences of bus passengers have changed as a result of the COVID-19 Pandemic. Focuses on three user groups: Current users, Former Users, and Non-Users.
Financial inclusion as an important factor influencing digital payments in passenger transport: A case study of EU countries
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.
Public Transport - A cleaner future
May-21
Report researching passenger attitudes towards cleanliness on public transport. Report written in the context of the Covid-19 Pandemic. Makes recommendations for operators as to how they can improve cleanliness and perceptions of cleanliness on their services.
Will there be space on board?
Apr-2021
Study analysing the results of a 5000 person passenger survey into attitudes towards how busy public transport services are. Provides recommendations towards providing information about how busy services are to allow passengers, to allow them to make decisions about when and how they travel.
Examining public transport usage by older adults with smartcard data: a longitudinal study in Japan
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.