Business intelligence (BI) is needed to support decision makers in public transport. It helps to take better decision faster, to improve for example service, performance or profitability.
Data can make a difference in practically all areas, from operations management and transport planning to policymaking and strategic decision-making.
Yet today’s complexity and abundance of data can make it challenging for transport professionals to unlock the value of their data. Obtaining value by driving information from the data is yet another challenge. BI and BI tools make it easy to act agile, and accurate.
It is undeniable that artificial intelligence (AI) is growing its importance in every sector, including public transport.
The use of AI applications in public transport could be one of the critical solutions that efficiently unlocks the value of data to improve the quality and efficiency of the public transport sector.
Applying AI to our current methods of providing public transport enables us to move forward on many fronts to improve all aspects of provision.
This course aims at providing an insight into the main principles, processes and tools to inform policy- and decision-makers accurately and to transform Big Data into results and to show how AI applications can help to better serve: identifying the broader strategic objectives and linking them to associated goals and success factors will eventually allow choosing the most accurate indicators and processing the right dashboards.
In addition, the course will also look at the opportunities and value created by Open Data and Data Sharing.
Reach your objectives
Learn about the main principles, processes and tools required to use data and build a sound business intelligence system and organisation to improve public transport and sustainable urban mobility in cities.
Understand the importance of having a good organisation of data and learn from best practice on implementing a management information system.
Learn from international best practices and exchange of knowledge on the optimal use of new technologies.
Learn how to better exploit data analytics and find opportunities in your data, in particular Big Data analysis.
Apply through workshops the process of getting the right data: from defining strategic goals to the appropriate selection and breakdown of indicators.
Understand and discuss the concept of AI and Machine Learning.
Broaden your knowledge and perspective on possible applications of artificial intelligence in public transport by learning and sharing experience with professional leaders.
Learn about the possible opportunities for making public transport modes more efficient and customer oriented with artificial intelligence applications.
Understand the impact of new technology and how organisations can leverage the opportunity.
Learn from best practices from around the world showcases from local operators, authorities and the industry.
Learn about approaches, challenges and possible causes of failures in implementing AI projects in the public transport industry.
Who is it for?
Transport professionals who want to get more out of their available data whatever the field of specialisation, from operations management to public transport planning, marketing and strategic decision making.
Professionals in IT and Business analytics who are willing to widen experience directly involved in the collection, processing, and analysis of data.
Professionals interested in obtaining a wider and more international perspective on the collection and use of data in public transport.
Experienced professionals but also newcomers in the sector from local transport authorities, public transport operators or the supply industry.
A good level of English is a compulsory requirement to attend the training.
A top level methodology
Participate in interactive plenary sessions with presentations, case studies, workshops and open discussion.
Challenge your thinking on the way to produce, use and organise your data.
Apply through workshops, on a concrete case, the principles and process learned to build a sound business intelligence environment for your company, city or network.
Share your knowledge and experience with other participants in smaller groups.
UITP Training Programmes and all related processes are certified for ISO 21001: 2018 – the standard for Educational organisations – Management systems for educational organisations.
Inspiring trainers
Our skillful team of trainers is composed of professionals, UITP lecturers and international experts in the fields of data collection, measurement and business improvement within the public transport and urban mobility industry.
Programme
Welcome, objective and introduction to the programme
09:00–09:30
Data has been in and around public transport for some time now. It has not only changed the way Public Transport is operated and used, but it has also changed expectations passengers have. Which changes have taken place in general, and which in the regions of participants? What is expected to happen in the future? And how will this impact passenger expectations? In this first session all these items will be discussed.
Coffee break
11:00–11:30
This session will look into the use and impact of new technologies, which open up new perspectives in the way data is collected. Apart from the secondary data, a large amount of primary data is being collected from smart cards, telematics systems, GPS systems and vehicle detection systems, almost on a real-time basis. In addition, large amount of customer or operational data is available through crowd sourcing, social media, and smart device interactions. This exponential growth in data has opened new opportunities but at the same challenged business organizations on four fronts – Volume, Velocity, Veracity and Variety. The techniques to bring this data together and organize them in a Big Data Analytics framework can lead to higher revenue (and customer service), lower costs (efficiency and optimization) and innovation (new business products).
Lunch
12:30–13:30
Welcome words by TechnologieRegion Karlsruhe – PTV Group
13:30–14:00
Artificial Intelligence, AI, Big Data and Machine Learning, ML
AI in Customer Service
AI in Operational Efficiency and Asset Management
AI in Safety and Security Management
A multimodal transportation demand model is a highly detailed representation of all modes of public transport such as bus, tram, underground, taxi, rail, and train. From investing in new lines or stations to managing schedules, this model allows to develop economically feasible, demand and service-oriented transport services.
The integration of external data sources, such as automatic passenger count (APC) data, has the potential to significantly enhance the quality and accuracy of transportation models. Incorporating these external data sources into transportation models like in PTV Visum allows for a more dynamic and accurate representation of travel behaviour. This leads to improved forecasting and scenario analysis, enabling planners to make more informed decisions about infrastructure investments and service adjustments.
PTV Visum Product Managers will show in this session how passenger count data can be incorporated into a transportation model and what are the benefits for public transport planners and operators.
Coffee break
16:15–16:30
Workshop 1 – How data-driven should your organisation be?
Based upon Gartner’s BI maturity model participants will rank their own company: how data driven is your organisation? How data driven does it need to be? How to get there?
Workshop 2: How to get from data to results?
Many operators struggle to optimize the impact of data. What should be done to get the max out of data? How to avoid failure? How to get a high ROI (Return on Investment)? In this session conditions for success will be discussed.
Welcome dinner
18:30–22:00
In companies including public transport companies KPI’s plays very crucial roles for decision making process. Collecting and analysing the data should come up with the results to follow daily, weekly, monthly, and annual basis by the management. Companies should define their own KPI’s and success criteria to monitor the trends within the results.
Success factor for PTO’s
Key Performance Indicators, KPI’s,
Performance Indicators, PI’s
How to create KPI’s
Coffee Break
10:00–10:30
KPI’s can be used and implement for various activities in public transport. By using definite KPI’s each level of managements from medium management to top can monitor the results and ack accordingly. It is called managing by the results. KPIs gives ability to decision makers where to intervene into the process.
Performance monitoring for different elements,
Defining KPI’s for different activities
Monitoring maintenance, operations, finance by KPI’s
Operational planning of public transport depends on various paremeters. Number of passengers, time of the travel, starting and ending of travel, available bus on the fleet, duration of trip and drivers are basic data that is needed. With these paremeters operatioanal plan can be created by using inteligient tools. There are many constraints to have taken into accounts such as working hours, legal restrictons, break time and periods etc. That’s why it is not easy task. In this session important criteria will be discussed and shown on the case studies.
Lunch
12:30–13:30
Session 6: Intelligent Transport Systems, ITS
13:30–03:30
Coffee break
15:00–15:30
Session 7
Workshop 3 – KPI selection
What is a good KPI? And how to select KPIs that really make a difference in terms of quality, profit and customer satisfaction? In this workshop this process is explained and executed.
Workshop 4 – Action planning
One of the biggest challenges is to use data not just to monitor your KPIs, but also to manage your KPIs, so for improving quality, profit and customer satisfaction. But how do you do that? In this session this process is explained and participants are supported in creating their own action-planning.
Case Study
National Express West Midlands (NXWM) is the biggest bus operator in the West Midlands, one of the largest in the UK, and part of Mobico Group, a leading international shared mobility provider with operations in the UK, North America, Europe, North Africa and the Middle East. NXWM began using CitySwift’s Performance Optimisation Platform to support one of the company’s key objectives: to deliver the most reliable and efficient transport solutions on the market. The cutting-edge technology provides runtime analysis and predictions, enabling NXWM to make use of quality data and insights that maximise team productivity while continually making improvements to service reliability and performance to deliver a better bus user experience.
Session 8: Building data teams
09:00–10:00
Coffee break
10:00–10:30
During this guided lab tour at the FZI House of Living Labs, participants will gain deeper insights into cutting-edge research on mobility, robotics, and artificial intelligence. The visit showcases innovative projects and demonstrates the latest developments in these fields, with a glimpse into the role of business intelligence in leveraging data-driven decision-making. Experts will present real-world applications and discuss their impact on future technologies.
Trainers
Gulnur MEVLUDE OZDEMIR
Director
GMO Business Consultancy Limited
Türkiye
Gulnur has graduated from Bogaziçi University BA in International Relations and Political Science and completed her MBA and Doctor of Philosophy studies at Aston American University. Her PhD thesis was: “The Relationship between Sustainable Leadership and Sustainability Performance: A Research in the Public Transport Sector ».
She started her career at Birlik Celik, a Borusan Group company, in 1997. After that, she joined the founding team of Ferco Holding as a member of the Finance department. She worked in the same company for 16 years, gaining extensive experience in finance, commodity finance, import/export finance, and various financial instruments. Powered by this solid background, she has acquired managerial expertise in establishing and developing multiple businesses. Her areas of expertise include Finance, Business Accounting, Financial Reporting, Financial Analysis, Financial Risk, International Trade and Commodity Finance, Law, Taxes, Corporate Banking Relations, Business Development, KPI and Management Reporting, Green Finance, Impact Investing, SROI.
She started her entrepreneurial journey by providing Financial Consultancy services to women entrepreneurs and exporting SMEs in the textile, chemistry, and food industries in 2013. She has provided reliable and affordable consultancy services to foreign capital companies entering the Turkish Market by establishing a legal, accounting, and financial consultancy services team. Since 2016, starling with Kayseri Transportation Inc., she has provided consultancy and support services to the Public Transport Companies on restructuring KPIs (Key Performance Indicators) and Management Reporting. She is establishing a digital infrastructure to support Top Management teams in data-driven decision-making. She carried out the Management reporting and Digitalization of the IBBG Bus Benchmarking project for IETT.
In April 2021, she carried her consultancy services up to the international level by establishing her own London-based company, GMO Business Consultancy Ltd.
GMO Business Consultancy Ltd. was one of the Business Partners of Optibus Transportation Limited between May 2021-March 2023 to increase the chances of expanding their business together in Turkey.
GMO Business Consultancy Ltd. has been one of the Business Partners of Parabol Yazilim Elektronik Danismanlik Egitim San. Ve Tic. Ltd. Sti., since August 2003 as a Growth Marketing Specialist, in the territory of MENA & Turkiye.
She is one of the UITP trainers since May 2022. She gave trainings to PTA, Dubai & TGA, KSA about KPIs in Public Transport Sector.
She is the Footprint and Sustainability Association member, the founding Board Member and Treasurer of the Istanbul Ecology Rotary Club Association. She has a daughter.
Rikesh SHAH
Managing Director
Innovate Today
United Kingdom
Until 2023, Rikesh spent 22 years at Transport for London in a variety of Marketing and Communications roles including Communications Manager, Senior Manager – Digital Partnerships and Head of Open Innovation. He oversaw a variety of online and offline marketing activities to strengthen TfL’s brand recognition as well as its ability to measure marketing success.
Rikesh led the team in TfL that established the organisation’s reputation worldwide as a leader in the use of open data and creating partnerships with a range of technology companies, to provide public transport service users throughout the Greater London area with quality, timely MarComms information that brings tangible benefits to their daily lives.
For Rikesh, it’s critical to constantly shape and communicate the value of a city’s PT Network – to ensure it always keeps pace with the lives of residents and visitors. Public Transport needs to be passenger-friendly in every way possible, without neglecting the appropriate cost-benefit people derive from using it on a daily basis.
Guillaume SERVONNAT
Project & Data Manager
Espaces-Mobilités
Belgium
Guillaume Servonnat has been a consultant for more than 10 years at Espaces-Mobilités, a design office based in Brussels. It specialises in new mobility and MaaS and has been managing missions in parallel for several years on the collection, processing and analysis of mobility data in all its forms (FCD, FMD, shared mobility etc.). He regularly provides training on the subject and also closely follows the development of autonomous vehicles.
Gearóid HYNES
VP of Product
CitySwift
Ireland
Gearóid Hynes is VP of Product at CitySwift, a performance optimisation platform that helps public transport authorities and private operators to deliver ultra-efficient and reliable networks. With a PhD from University of Galway in Ireland, his commercial career began at Hewlett Packard before joining sport and data science start-up Orreco as Head of Product. At CitySwift, Gearoid’s research, technology and product expertise helps public transport networks use big data to deliver the best possible service to their passengers.
