Transport is a major sector of the European economy with a value added of € 630 billion annually. The combination of changing customer needs and digitalization, driven by the fourth industrial revolution, led in last few years to the rise and rapid deployment of on-demand modes in conjunction with public transport (known as Mobility-as-a-Service concept), which has disrupted the status quo and threating to replace traditional frameworks. On the other hand, urban mobility accounts for 40 % of all CO2 emissions of road transport and up to 70 % of other pollutants from transport.
For these reasons traditional mobility solutions providers must constantly reinvent themselves to stay competitive in the short term and relevant in the long term. By leveraging reward-based instruments, data analytics, artificial intelligence and refined visualization techniques, bluesource helps traditional mobility providers constantly improve their understanding of customer needs and expectations, and then use this knowledge to upgrade the customer experience, while creating more sustainable environments and transport systems in our cities.
Artificial Intelligence (machine learning)
Mobility and transport are high-volume and high-velocity data environments. This stems from the fact that many digital solutions were developed by individual companies for the purpose of making transport services or supply chains more autonomous, secure and resource efficient. So many different digital platforms, applications and products, that currently exist, cause a high degree of fragmentation. bluesource is working on integrating these aspects into a single platform, with the focus on identifying sources of en-route inefficiencies and modelling passenger’s travel patterns with reward programs towards more sustainable multimodal choices (including public transport, cycling and walking). With smart devices and interconnected services, bluesource researchers have access to large-scale,
detailed longitudinal (dynamic) data that allows them to test hypotheses about passenger behaviour. This leads to the detection of unknown patterns, which habe not been considered when establishing key performance indicators, improved predictability of traffic users’ behaviours and greater cost-effectiveness.
Data Visualisation and Dashboard Design
bluesource uses a next level micro-segmentation approach that focuses on the dynamic nature of passenger’s behaviour to visualise previously unknown correlations with finer levels of distinctions. In other words, we continuously recalculate the segmentation of every customer and track how customers move from one micro-segment to another over time. For this purpose, bluesource provides professional and intuitive visualisations such as pie charts, stream graphs, sunburst graphs, radar charts, or network visualisations as well as highly configurable and customized Dashboard Design. The resulting insights can be used to personalize products and services of traditional transport providers on a wide scale.
Demonstration Activities and Pilots
The focus of demonstration and pilot activities is to test and demonstrate the needs, preferences, and demand for MaaS services of various end users groups, assess MaaS acceptance rate, and identify changes in travel decisions given the rewarding concept. In more detail, bluesource’s expertise involves designing the market research survey tools, analysing survey data and classifying passengers based on personality traits, attitudinal and socioeconomic characteristics, estimating advanced loyalty & rewards behavioural models for MaaS acceptance and willingness to pay, etc.
While designing and establishing the MaaS ecosystem, user-centric, customer-centric, market-centric principles should be fully utilised. For this reason, bluesource is developing the Hub-and-Spoke Architecture that integrates all relevant stakeholders into one ecosystem, with the intention of helping them meet their mobility needs and solving the inconvenient parts of individual journeys, as well to improving the efficiency of the entire transport system. The biggest benefits of the Hub is the support to the workflow across companies/authorities; automation of data flow and flexible relationship management of transport/mobility actors.
User Requirements Analysis
By delivering highly personalized and intuitive user interface (UI) in-vehicle-mobile interfaces can meet a growing number of customer expectations, . This results in increased complexity and a higher probability of errors during development. Assuring the quality of such systems requires greater effort and increased costs, as UI tests easily fail. The teams of bluesource’s data scientists, and engineers work with clients to identify opportunities, assess available data, define user requirements and develop software architecture specifications.