BTR4 Headline Speakers

Please join us each each day to kick off BTR sessions with…

Thailand’s Agachai Sumalee

Singapore’s Lynette Cheah

UK’s Charisma Choudhury

and

Chile’s Juan de Diós Ortúzar.

Eastern track: Aug. 4, 11:00 am- 12:00 pm AEST

IOT, DATA ANALYTICS AND TRANSPORT SYSTEM IN THE SMART MOBILITY ERA

BIO: Agachai Sumalee is a Professor in Smart City at Chulalongkorn School of Integrated Innovation, Chulalongkorn University. He was a full Professor at The Hong Kong Polytechnic University and a Vice President of King Mongkut’s Institute of Technology Ladkrabang. He is a Founding Editor of Transportmetrica B: Transport Dynamics and has served as an editorial board member on several journals in this area. Professor Sumalee’s research interests include intelligent transportation system, smart city, Internet of Things (IOT) application in smart mobility, transport technology and policy and system optimization. He is currently committee member of the new Bangkok station operation, committee member of Thailand Transport Company, chair of the national sub-committee on Thailand common-ticket development. He led several successful deployment of ITS projects in Thailand including Thailand national GPS system, Smart Bus Terminal system and national Smart Highway system. Based on his innovative approach to transport management he received ASPIRE Prize in 2014 for the best scientist in Asia Pacific Economic Community (APEC) selecting from all scientists under 40 years old in APEC countries.

ABSTRACT: Recent developments of internet of things (IoT) and Big data have made it easier and cheaper to collect, store, analyze, use, and disseminate multi-source data. The main mission of Smart Mobility platform is to capitalize on these opportunities to innovate the way we collect our data, analyze problem, and manage our multi-modal transportation system. Three key aspects of smart mobility will be presented in this talk including: data acquisition platform, data analytics (on-line and long-term analytics), and on-demand service application. This presentation will discuss the overall framework and the interrelationship between each components of smart mobility platform. The presentation will illustrate some real-world applications of this concept in Thailand ranging from safety management, demand prediction, to highway operation. Some highlights on lessons learnt from implementing the advanced analytical methods to these real-world deployment will be provided together with the future outlook of the field.

Eastern track: Aug. 5, 11:00 am- 12:00 pm AEST

DECARBONIZING ROAD FREIGHT TRANSPORT

BIO: Lynette Cheah is an Associate Professor of Engineering Systems at the Singapore University of Technology and Design (SUTD). She directs the Sustainable Urban Mobility research laboratory, which develops data-driven approaches to reduce the environmental impacts of passenger and freight transport. She is a member of Singapore’s Public Transport Council and an Associate Editor for the Journal of Industrial Ecology. She recently served as a Review Editor for the United Nations Intergovernmental Panel on Climate Change’s (IPCC) Sixth Assessment Report, examining climate change mitigation approaches in the transport sector. Her engineering degrees come from Northwestern, Stanford, and MIT.

ABSTRACT: Demand for global freight transport is expected to grow more than three times by year 2050 and the associated greenhouse gas emissions will increase faster than that from passenger transport. Road vehicles currently dominate global transport-related CO2 emissions, yet road freight is considered one of the harder-to-abate sectors. In this presentation, Cheah will review options for decarbonizing road freight and discuss challenges and opportunities. Beyond alternative fuel and vehicle technologies, there is a role for optimising system operations, as well as demand-side mitigation approaches. These encompass changing the way we use infrastructure and modifying behaviours to limit transport-related emissions.

Western track: Aug. 4, 10:00 am – 11:00 am CDT

LEVERAGING PASSIVELY COLLECTED DATA SOURCES FOR TRAVEL BEHAVIOUR MODELLING

BIO: Charisma Choudhury is the Chair in Behaviour Modelling and a UKRI Future Leader Fellow at the Institute for Transport Studies, University of Leeds (UoL), where she leads the Choice Modelling Research Group. She also serves as the Deputy-Director of the interdisciplinary Choice Modelling Centre, UoL. Charisma received her PhD from the Massachusetts Institute of Technology (MIT). Prior to joining UoL, she worked at the Bangladesh University of Engineering and Technology, MIT, RAND Europe and Cambridge Systematics. Her current research focuses on travel behaviour modelling using emerging data sources, particularly in the context of the Global South. Charisma is an Honorary Guest-Professor at Beijing Jiaotong University, China and a Turing Fellow at the Alan Turing Institute. She is the current Vice-Chair (Chair-elect for 2024) of the International Association for Travel Behaviour Research.

ABSTRACT: Recent advances in data science and ubiquitous computing have led to the availability of a wide range of new inputs for travel behaviour modelling. These range from passively generated traces from mobile phones, smart phone apps etc. to physiological sensor data (e.g.  skin conductance, heart rate recordings etc.) which provide insights regarding the traveller’s state of mind. The presentation will focus on the promises offered by such emerging data sources and frameworks to utilise them. Case studies will include mode, route and destination choice modelling using passively generated mobility data as well as detailed models of driving and cycling behaviour where skin-conductance, heart rate, EEG and eye-tracking data have been used for improving the behavioural insights.

Western track: Aug. 5, 10:00 am – 11:00 am CDT

ROLE OF HABIT AND THE BUILT ENVIRONMENT IN THE WILLINGNESS TO CONMUTE BY BICYCLE

https://www.ing.uc.cl/wp-content/uploads/2017/05/Ort%C3%BAzar.jpg

BIO: Juan de Dios Ortúzar is a Professor Emeritus in the Department of Transport and Logistics Engineering at the Pontificia Universidad Católica De Chile. He is a pioneer in the development of discrete choice models and their application in determining willingness to pay for reducing externalities (accidents, noise and pollution). He has published ten books and more than 200 articles in international journals and book chapters. He is also co-author of Micro-GUTS simulation game, used in more than 50 universities. He was Co-editor in Chief of Transportation Research Part A (2012-2020), and is a member of the editorial board of the journals Transport Policy, International Planning Studies, Transportation Letters, Research in Transport Economics, Travel Behavior and Society, and Multimodal Transportation.

ABSTRACT: The bicycle should be an unbeatable mode in trips of less than 10 kms, which are the large majority in even fairly large metropolis. Why then, especially when weather and terrain characteristics are mild, bicycle trips tend to be less than 10%, in most urban areas? We look at this paradox using data from two studies in Latin American cities, involving habit measurements and latent variables, on top of the more usual level-of-service attributes.

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