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.
Profiling tourists’ use of public transport through smartcard travel data
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.
Evaluation of the benefits of mobile fare payment technology from the user and operator perspectives
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.
The Movingo integrated ticket: seamless connections across the Mälardalen region of Sweden
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.
Is Bluetooth Low Energy feasible for mobile ticketing in urban transport?
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.
Identifying barriers to implementation of local transport policy - Lessons learned from case studies on bus policy in Great Britain
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.
Transport deserts report
Feb-2020
Report develops the idea of transport deserts by identifying areas in which transport provision in very low. The report acknowledges that it has a light touch, and recommends future research into the extent to which these towns are self-sufficient, the usefulness of existing transport services, correlation with demographic and deprivation data, and the extent and quality of active travel infrastructure.
Bus passengers’ priorities for improvement
Feb-2020
Study into what bus passengers consider to be important for improving buses. Key areas were: Buses arriving on time, buses going to more places, value for money, faster journey times, tackling antisocial behaviour and improving passenger information.