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Past ETC Papers
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Members' Area
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ETC awards
The Neil Mansfield Award
Since 1986 The ETC has awarded the Neil Mansfield award. The award is given in the name of Neil Mansfield, a brilliant young researcher in the UK Department of Transport, who died at a young age. The prize will be awarded for the best paper written by an author under the age of 35. A maximum of one (supervising) co-author applies for this award.
The winner of the award gets a cash prize of EUR 350 or GBP 350 and the award is administered by the Young Researchers' and Practitioners' Forum.
Other awards
There is the potential for more awards to be sponsored. The award criteria is set by the sponsor in agreement with the Chair of the relevant Programme Committee.
For the 2022 ETC, Jacobs will sponsor an award for the paper showing the most innovative use of data. The winner of the award gets a cash prize of EUR 350 or GBP 350.
For the 2022 ETC, Goudappel will sponsor an award for the best paper written for and presented in the Planning for Sustainable Land Use and Transport seminar. The winner of the award gets a cash prize of EUR 350 or GBP 350 and the award is administered by the Planning for Sustainable Land Use and Transport programme committee.
Awards at the ETC 2021
Goudappel Award 2021 for the best paper written for and presented in the Planning for Sustainable Land Use and Transport seminar
Winner Announced!
About the winner:
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Sarah McDonagh is currently working as a Senior Transport Planner for Jacobs. She has a keen interest in sustainable transport, with a focus on active travel, and improving infrastructure and mobility for children. She recently completed a MSc in Transport and Mobility which gave her the opportunity to undertake this research around children’s travel needs. |
The Jacobs Award For The Paper Demonstrating The Most Innovative Use of Data
Winner Announced!
About the Winners:
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Ella Dahan is a Senior Transport Analytics Consultant in Arup’s Transport group. She is a specialist in data driven decision making and modelling, and helps clients gain actionable insights from their data. Ella has over 10 years of consulting experience, specialising within analytics, dashboarding, simulation and operations research. She has worked with clients across a range of industries such as aviation, transport, logistics, emergency services and energy. |
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Aastha Madaan is a well published data scientist with over a decade of experience in applications of AI, ML and IoT in academia, industry, and the built environment. She is a data science manager at Accenture’s Applied Intelligence group in the UK delivering data science, machine learning solutions and products for clients in transport and asset heavy industries. She supports her clients’ C-suite teams to successfully drive data analytics and digital transformation projects which keeps people, processes, and technology at its heart. Prior to joining Accenture, Aastha worked as a senior data scientist at Arup leading a team of data scientists and successfully delivered data products and digital transformation solutions across aviation, rail, healthcare, and infrastructure sectors. The ‘Airport Demand Analyser’ data product she led at Arup was nominated as a finalist in ‘product innovation’ category at the British Construction Industry Awards 2020. Aastha was previously a research fellow at University of Southampton where she led research on a large scale IoT data sharing test bed co-funded by EPSRC, Google Cloud and Cisco CityVerve. She has visited world-renowned universities across several countries delivering talks on data sharing, data trusts and AI/ML. She is a PhD in Computer Science from University of Aizu, Japan, specialising in database query language design for healthcare data repositories. She did her Masters in Unsupervised algorithms for streaming data and has an honours degree in Computer Science from Delhi University. She is passionate about promoting women in STEM and using data science to design a better world. |
The Neil Mansfield Award
Winner Announced!
The Young Researchers' and Practitioners' Forum (YRPF) are very pleased to announce the winner of the Neil Mansfield Award.
The award is given in the name of Neil Mansfield, a brilliant young researcher in the UK Department of Transport, who died at a young age. The prize is awarded for the best paper written by an author under the age of 35.
About the Winners:
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Federico Messa joined Systematica in 2016. He has been an Architect since 2021, and active as a transport consultant on a diverse set of projects, ranging from territorial studies to masterplans and complex buildings mobility strategies. He is also involved in architecture and mobility research studies, mainly related to urban dynamics, mobility data analysis and visualization, project performance analysis and spatial analysis. |
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Diego Deponte is Partner, Managing Director and Member of the BoD of Systematica Srl, a Transport Planning and Mobility Engineering consultancy established in 1989 with its main office in Milan (Italy) and subsidiary offices in Beirut (Lebanon), Mumbai (India) and New York (USA). With a Master of Science in Civil Engineering (Specialisation in Transport Planning and Infrastructure Design) at the Politecnico di Milano (Italy), he has been working for almost 20 years in the transport planning industry, gaining a considerable experience in all-round transport and mobility planning and design as well as territorial/urban planning at international level, with a focus on the assessment of innovative and state-of-the-art mobility solutions, to include digital solutions for traffic management and mobility operations, Mobility as a Service (MaaS) schemes, driverless solutions, on-demand public transport services, ride-sharing and mobility-sharing schemes, car-pooling systems as well as Open / Big Data analytics to inform and enrich planning and design activities. Over his extensive career, he has been working on a wide range of projects and studies for the public and private sector clients alike, gaining valuable international professional experience and proven track-record in Europe, Middle East, South Asia, Far East, China and Africa. |
Awards at the ETC 2020
There were two awards for papers presented at ETC 2020 online:
Award for the paper showing the most innovative use of Data, sponsored by Jacobs
Winning Paper
Harnessing people movement data to shape future activity and people-centric designs: a case study of Salford Quays
Peter O’Hare, Salford City Council; Paul Jackson, Tracsis, UK
About the Winners:
Peter O'Hare - Regeneration Lead, Salford Quays - Salford City Council
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Peter is Salford City Council’s Regeneration Lead for Salford Quays. He spent over 10 years as an Urban Designer before re-joining the council to project manage the delivery of key projects in one of the Greater Manchester’s most important areas for growth and regeneration. Peter has specialised in developing spaces with a focus on people that not only promote active travel but also seek to incorporate Sustainable drainage and green environment. Salford Quays is an important innovation district and Peter has been seeking to readdress the way the council works in the area, delivering a digital first approach and finding other innovative methods to make the spaces work better for everyone; from visitors to those who maintain the spaces. Peter has a Masters in Planning and is a Chartered Member. |
Paul Jackson Strategic Development Director Tracsis
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Paul has over 30 years’ experience of providing transport data solutions, training and advice throughout the UK, Europe, the Far and Middle East, Africa, Australia and North America. He has helped bring innovative solutions to transport data challenges including the application of vision-based sensors using machine learning techniques for the monitoring of pedestrian, cyclist and vehicle movements; bringing mobile phone network datasets integrated with layered transport intelligence to the transport planning, operations and events markets; the development and roll out of technologies and services for origin-destination and journey time studies of pedestrians and vehicles using Bluetooth and other advanced detection systems for transport, major events and planning projects. |
| Prior to joining Tracsis in 2007 Paul gained ten years’ experience of using transport data and a variety of modelling suites as a traffic modelling team leader with the Greater Manchester Transportation Unit and subsequently led the Transport Surveys Group for over 12 years. He has an MSc in Transport Planning and Engineering from the Institute for Transport Studies University of Leeds, regularly provides training to professionals in data collection techniques and supports ITS Masters students and young professionals with professional development mentoring.
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Runner Up
A novel location data intelligence framework fostering smart cycling inclusion and transport decarbonisation in small- to medium-sized European cities. Evidence-based findings from recent trials conducted in German and Italian cities
G di Acciaro, G Ciccarelli, NET Engineering S.p.A, BU Transport & Mobility, IT; C Andriolo, Comune di Vicenza, Area servizi al territorio, Servizio Mobilità e Trasporti, IT; K Muthmann, Cyface GmbH, DE
Third Place
Passenger safety: the impact of smoother bus acceleration on passenger experience aboard London buses
X Karekla, AECOM, UK
Special Mention
A method of processing eye-tracking data to study driver’s visual perception in simulated driving scenarios
Y Shi, Y Xu, A Ferraioli, B Piga, L Mussone, G Caruso, Politecnico di Milano, IT
Route optimisation programming for emergency vehicles aftermath of freight train accidents involving hazardous materials (7002)
S Amin, L Froger, O Haas, Coventry University, UK
The Selection Process
The winner of the “Jacobs award for the paper demonstrating the most innovative use of data” was the paper “Harnessing people movement data to shape future activity and people-centric designs. A case study of Salford Quays”. The team at Jacobs have gone through an extensive selection process to pick out this excellent paper as the winner.
Whilst shortlisting they were firstly looking for papers that were using new and up-to-date datasets, whether it was real time Google Maps data, mobile phone data or CCTV data. They then focused on what techniques were applied to that data, concentrating on advanced statistical and data science methodologies such as, machine learning and artificial intelligence. Finally, they considered what was the outcome of the whole study, how innovative and how beneficial it can be to the Transport industry.
The paper was as the winner because it impressed the judges at each stage of the selection process. The data used in this study was the CCTV footage of Salford Quays public spaces. The information extracted from the data focused on how the active modes (walking and cycling) use the public areas and whether the balance of the space between pedestrians, cyclists, drivers, and other modes was right. These data were analysed using vision-based artificial intelligence systems and movement tracing to understand how different factors such as, time of day, weather, social events and other interventions can affect human behaviour like movement patterns and total number of people. The outcome of this study was the understanding of how public space is used and what are the driving factors in the environment for promoting active travel. This information can then be used in major infrastructure schemes and improvements when considering the planning of an area for gentrification.
In the shortlist, there were some fantastic papers that made the final choice very difficult. Several papers demonstrated innovative use of data; however, it was the final conclusions and possible uses of this study that made Jacobs choose it as the winner. CCTV footage has been used in the Transport industry in the past, however the use of artificial intelligence and automation applied in this study makes it repeatable and consistent for the future whilst removing any unnecessary human error. This study will help process live data straight from CCTV footage and use it as evidence to lead to a much more efficient urban planning through the understanding of how people truly use public spaces
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The Neil Mansfield Award
Winner Announced!
The Young Researchers' and Practitioners' Forum (YRPF) are very pleased to announce the winner of the Neil Mansfield Award.
The award is given in the name of Neil Mansfield, a brilliant young researcher in the UK Department of Transport, who died at a young age. The prize is awarded for the best paper written by an author under the age of 35.
This year we say huge congratulations to Zishu Liu, of ARUP UK for their paper:
"Using Google Maps to calculate generalised cost and accessibility for London: a new methodology"
Zishu is a Graduate Transport Planner based in Arup’s London office. She has experience working in strategic modelling for highway networks and future forecasting in UK. This experience allows her to support large-scale projects by providing insight to each stage of the strategic modelling process. She also provided overseas support in traffic analyses of developments for Arup East Asia. Before joining Arup, she studied MSc in Transport & Business Management at Imperial College London and finished Bachelors’ degree in Highway & Bridge Engineering in China. Her developing interest is the interaction between transportation and urban environment.
Well done Zishu!
Past Winners of the Neil Mansfield Award
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2021 |
Zishu Liu, ARUP UKUsing Google Maps to calculate generalised cost and accessibility for London: a new methodology |
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2019 |
Joshua (Xihe) Jiao, Arcadis, UKA new travel demand model for outdoor recreation trips |
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2018 |
Umair Hasan, Curtin University, AUFramework for delivering an AV-based mass mobility solution: integrating government consumer actors and life-cycle analysis of transportation systems |
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2017 |
Not awarded |
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2016 |
Sebastian Kauschke, TU Darmstadt, DEImproving cargo train availability with predictive maintenance: an overview and prototype implementation |
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2015 |
Carl Goves, Transport Systems Catapult, UKShort term traffic prediction for the UK motorway network using an artificial neural network |
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2014 |
Jeff Tijong, CH2M Hill, UKRe-estimating UK appraisal values for non-work travel time savings using random coefficient model |
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2013 |
Not awarded |
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2012 |
Siamak Khorgami, SKM, UKComprehensive and applied approach to analysis and modelling of household activities using UK time use data |
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2011 |
James Fox, University of Leeds, UKTemporal transferability of mode destination models: summary od literature, initial findings |
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2010 |
Francois Combes, Université Paris-Est, FranceEstimation of the economic order quantity model using the ECHO shipment database |
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2009
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Marc Gelhausen, German Aerospace Center (DLR), GermanyModelling airport capacity constraints in air travellers' airport choice |
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2008 |
Astha Balwani, Halcrow, UKDistance based charging: from theory to practice |
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2007 |
Emma Frejinger, EPFL, SwitzerlandRandom sampling of alternatives in a route choice context |
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2006 |
Marc Gelhausen, German Aerospace Center (DLR), GermanyAirport and access mode choice in Germany: a generlaized neural logit model approach |
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2005 |
Yaron Hollander, Institute for Transport Studies, University of Leeds, UKThe attitude of bus users to travel time variability |
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2004 |
Stephane Hess, Imperial College London, UKModels for the joint analysis of airport, airline and access-mode choice for air-passengers in the San Francisco Bay area |
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2003 |
Ninette Pilegaard, Danish Transport Research Institute, DenmarkA model of endogenous unemployment and commuting |
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2002 |
Bas van Herpen, Ministry of Transport, NetherlandsPublic private partnerships, the advantages and disadvantages examined |
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2001 |
Stephane Lecler, EMTA, FranceWhat role for public transport authorities in the European metropolitan areas? |
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2000 |
Richard Batley, ITS, University of Leeds, UKImplications of task complexity for discrete choice analysis: a comparative study of nested logit and PRETREE |
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1999 |
Carsten Hansen, Aalborg University, DenmarkThe dynamics of local processes towards environmentally sustainable transport – a case study of Lund, Sweden |
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1998 |
Lisette Hemmen, Ministry of Transport, NetherlandsThe Mass commuter plan: the first ten years |
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1997 |
John Siraut, Symonds Travers Morgan, UKRegulation of the railways post-privatisation |
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1996 |
Fabien Leurent, INRETS, FranceAn analysis of modelling error with application to a traffic assignment model with continuously distributed values of time |
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1995 |
Nigel Ash, Sir Alexander Gibb and Partners, UKNew international transport corridors in the Balkans and their economic and financial evaluation |
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1994 |
Maarten Kraan, University of Twente, NetherlandsTime allocation in transportation modelling with respect to limited time and money budgets: a new modelling technique |
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1993 |
Robert Fejarang, LA County Transportation Commission, USAImpact of property values: a study of the Los Angeles Metro Rail |
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1992 |
Charles Yates, Nomura Research Institute, UKSurvey of private finance for road infrastructure |
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1991 |
Francesco Martinez, ITS, University of Leeds, UKTransport investment and land values interaction: the case of Santiago City |
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1990 |
David Watling, ITS, University of Leeds, UKRecent developments in techniques for analysing partial registration plate data |
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1989 |
Gerard de Jong, Hague Consulting Group, NetherlandsSimulating car cost changes using an indirect utility model of car ownership and annual mileage |
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1988 |
Petros Vythoulkas, Centre for Transport Studies, Cranfield Institute of Technology, UKModelling dynamic assignment for urban transportation networks |
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1987 |
Not awarded |
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1986 |
D van Goot, Delft University of Technology, NetherlandsConcentrated traffic flows |
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