top of page

SHRINKING SUPPLY CHAINS AND THE CONSEQUENCES FOR PORTS AND MARITIME LOGISTICS


SPEAKER:

PROFESSOR MICHAEL BELL

​Professor of Ports and Maritime Logistics, Institute of Transport and Logistics Studies, The University of Sydney Business School


DATE:

20 OCTOBER 2017 (FRIDAY)


TIME:

19:00 - 20:00


VENUE:

WANG GUNGWU THEATRE, GRADUATE HOUSE, THE UNIVERSITY OF HONG KONG


ORGANIZED BY:

Institute of Transport Studies, The University of Hong Kong


ABSTRACT:

The growth of container traffic has fallen from three times the growth of GDP before the global financial crisis to less than one times the growth of GDP now, as a result of a number of long-term structural changes in the global economy. There has been a shift in GDP from tangible goods to intangible goods and services, replacing physical supply chains by digital supply chains for things like music, films, books and documents. The spread of automation in manufacturing has reduced the importance of labour costs for some products, leading some manufacturing to move closer to its consumers, thereby shortening supply chains. The consequent weakening of demand for maritime container shipping has been accompanied by the arrival of larger ships, as shipping lines seek to minimise their unit costs. In order to help fill the new capacity, container shipping lines have formed three giant alliances to reduce the duplication of services and increase the economies of scope. For ports, the result of these developments has been larger batches of containers to load and unload, increasing the demand for space and machinery, but not matched by increasing container throughput. The automation of ports, which has been spreading gradually from Europe and Australia to other parts of the world, will at some point be accompanied by the arrival of autonomous ships. This presentation will discuss these momentous changes in the container shipping industry and explore the implications for ports, in particular, for port cities like Hong Kong.


ABOUT THE SPEAKER:

Michael Bell is the Foundation Professor of Ports and Maritime Logistics in the Institute of Transport and Logistics Studies, at the University of Sydney Business School. Prior to this, he was for 10 years the Professor of Transport Operations at Imperial College London and for the final 5 years at Imperial the Founding Director of the Port Operations Research and Technology Centre (PORTeC). He graduated from Cambridge University with a BA in Economics and obtained an MSc in Transportation and a PhD on Freight Distribution from Leeds University. Before arriving at Imperial College London, he worked as a Research Associate at University College London, as an Alexander von Humboldt post-doctoral Research Fellow at the Technical University of Karlsruhe, and as a Lecturer at the University of Newcastle, where he was promoted to a Readership and then a Personal Professorship. His research and teaching interests span ports and maritime logistics, transport network modelling, traffic engineering, and intelligent transport systems. He is the author of many papers, a number of books (including Transportation Network Analysis, published in 1997), was for 17 years an Associate Editor of Transportation Research Part B, the leading transport theory journal, and is currently an Associate Editor of Transportmetrica A and Maritime Policy & Management.

ON HARNESSING THE NEW DATA LANDSCAPE FOR TRANSPORTATION-RELATED BEHAVIORAL ANALYSIS


SPEAKER:

PROFESSOR CHANDRA BHAT

Director of Center for Transportation Research, University Distinguished Teaching Professor and Adnan Abou-Ayyash Centennial Professor in Transportation Engineering, Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin

DATE:

17 FEBRUARY 2017 (FRIDAY)


TIME:

19:00 - 20:00


VENUE:

WANG GUNGWU THEATRE, GRADUATE HOUSE, HKU


ORGANIZED BY:

Institute of Transport Studies, The University of Hong Kong


ABSTRACT:

This presentation will focus on a new data landscape in which a whole host of equipment can act as sensors — legacy roadway systems, smart phones and GPS systems, and smart cars themselves. The key issue is how to deal with such voluminous and diverse amounts of incoming data per unit of time, and translate them into usable information for near-real time operations purposes or for longer-term planning purposes. This is a challenge, given the low latency and data reliability required to translate data into actionable intelligence, especially for such safety applications as collision avoidance. In addition, predictive analytics to translate data into information requires the ability to deal with data that may be from multiple sources, highly noisy, heterogeneous, and high-dimensional with complex interdependencies.  On the last of these, the joint modeling of data with mixed types of dependent variables (including ordered-response or ordinal variables, unordered-response or nominal variables, count variables, and continuous variables) is a tricky problem. The presentation will discuss the exciting possibilities, some enquiry and predictive analytics pathways forward in terms of methods, and the research challenges in the emerging landscape of data science applications for the transportation field. This will include a discussion of the activities being undertaken as part of the U.S.DOT-funded Tier 1 Center at UT-Austin on “Data-Supported Transportation Planning and Operations” (D-STOP).


ABOUT THE SPEAKER:

Dr. Chandra R. Bhat is the Director of the Center for Transportation Research (CTR) and the Adnan Abou-Ayyash Centennial Professor in Transportation Engineering at The University of Texas at Austin, where he has a joint appointment between the Department of Civil, Architectural and Environmental Engineering (CAEE) and the Department of Economics. Bhat is a world-renowned expert in the area of transportation and urban policy design, with far reaching implications for public health, energy dependence, greenhouse gas emissions, and societal quality of life. Methodologically, he has been a pioneer in the formulation and use of statistical and econometric methods to analyze human choice behavior. His current research includes the social and environmental aspects of transportation, planning implications of connected and automated smart transportation systems (CASTS), and data science and predictive analytics. He is a recipient of many awards, including the 2017 Lifetime Achievement in Transportation Research and Education Award (Academic) from the Council of University Transportation Centers (CUTC). This award is to “identify individuals who have had a long history of significant and outstanding contribution to university transportation education and research resulting in a lasting contribution to transportation.”  He also received the 2015 ASCE Frank Masters Award and the 2013 German Humboldt Award. In 2016, he was listed as the top ten transportation thought leaders in academia by CUTC and The Eno Foundation. He is a top-cited transportation engineering researcher.

© 2023 by Institute of Transport Studies. The University of Hong Kong.
bottom of page