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.
Impacts of long-term service disruptions on passenger travel behaviour: A smart card analysis from the greater Copenhagen Area
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.
Factors affecting local bus demand and potential for increase
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.
Bus Back Better
Mar-2021
Report aiming to set a vision for bus improvement in the UK, noting impacts of the Covid pandemic, capabilities of buses, positive case studies and requirements to meet higher standards.
Public transport fare elasticities from smartcard data: Evidence from a natural experiment
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.
Sustainable Transport Alliance: Our vision of future transport 2021
Leaflet produced by a collection of advocacy groups advocating for greener transport, specifically active and public transport modes. Priorities are communication of benefits of active and public transport, creation of opportunities for collaboration and innovation in the transport sector, and the collection of partners and evidence for transport progress in the build up towards the (then) upcoming Cop26.
Discovering the evolution of urban structure using smartcard data: The case of London
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.
Park and ride for Highway England’s roads
Nov-2020
Study concerning how park and ride services may be able to reduce traffic levels on the strategic road network (SRN). Study suggests focusing on providing a clear reason for passengers to shift modes (i.e. faster, cheaper journeys) could alleviate congestion on the SRN.
IOTApass: Enabling public transport payments with IOTA
Oct-2020
Paper showcases the design and implementation of a mobile payment system for public transport called IOTApass. Paper documents its experimental validation and confirms its feasibility.
Improving local bus services in England outside London
Oct-2020
Report into value for money in the local bus service system. Examined the effectiveness of the government's current (2020) support for local bus services and the extent to which enablers to improve local bus services are in place.
How can smart mobility innovations alleviate transportation disadvantage? Assembling a conceptual framework through a systematic review.
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.
Assessing longitudinal stability of public transport users with smartcard data
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.
Inferring spatial motifs for travel pattern analysis using large scale smart card data
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.
Maximising the benefits of local bus services
Jul-2020
Report presents new analysis into how to improve the economic, environmental and social value derived from bus services. The report suggests that with £3bn (£1bn from the zero-emission vehicles, £2bn from the government's 2020 grant for public transport improvements) services could be improved so that areas which are currently falling behind could meet the same patronage levels as the current best-performing areas.