Title: International Workshop on Urban Freight Analytics
Date: 23 April 2024, Tuesday 13:00-17:00
Organised by: Institute for City Logistics
Venue: Kyoto University Tokyo Office
Shin-Marunouchi Building, 10th floor, 1-5-1 Marunouchi, Chiyoda-ku, Tokyo 100-6510
Kyoto University Tokyo Office | KYOTO UNIVERSITY (kyoto-u.ac.jp)
Language: English
Fee: free
Topic 1: Urban Freight Analytics
Speakers:
1. Professor Emeritus Eiichi Taniguchi (Kyoto University, Japan)
2. Professor Russell G. Thompson (The University of Melbourne, Australia)
3. Associate Professor Ali G. Qureshi (Kyoto University, Japan)
Topic 2: Agent-based Urban Freight Simulations
Speaker: Associate Professor Takanori Sakai (Tokyo University of Marine Science and Technology, Japan)
Abstract for Topic 1: Urban Freight Logistics
Urban Freight Analytics examines key concepts associated with development and application of decision support tools for evaluating and implementing city logistics solutions. New analytical methods are required for effectively planning and operating emerging technologies including the Internet of Things (IoT), Information and Communication Technologies (ICT) and Intelligent Transport Systems (ITS).
This workshop will provide a comprehensive overview of modelling and evaluation approaches of urban freight transport. This will include case studies from Japan, US, Europe and Australia that illustrate the experiences of cities that have already implemented city logistics, including analytical methods that address the complex issues associated with adopting advanced technologies such as autonomous vehicles and drones in urban freight transport.
The workshop will be based on the book, “Urban Freight Analytics: Big data, Models and Artificial intelligence” by E. Taniguchi, R.G. Thompson and A.G. Qureshi, CRC Press, London, 2023. Procedures for evaluating city logistics technologies and policy measures will be presented. An overview of advanced modelling approaches, including agent based modelling and machine learning will be provided. The essential features of optimisation and simulation models applied to city logistics will be highlighted. An overview of how models incorporating more uncertainty and dynamic data can be used to improve the sustainability and resilience of urban freight systems will be presented.
This workshop will also describe future directions in urban freight analytics, including hyperconnected city logistics based the Physical Internet (PI), digital twins, gamification and emerging technologies such as connected and autonomous vehicles in urban areas. An integrated modelling platform will be presented that considers multiple stakeholders or agents, including emerging organisations such as PI companies and entities such as crowd-shippers as well as traditional stakeholders such as shippers, receivers, carriers, administrators and residents.
Abstract for Topic 2: Agent-based Urban Freight Simulations
The urban freight transportation system has continually evolved with innovations in logistics and technology (e.g., urban consolidation, crowd shipping, cargo bikes, mobile hubs, parcel lockers, etc.). This evolution has been accompanied by a transformation of the retail market due to the rapid penetration of online shopping. In the coming years, urban freight transportation systems will face new challenges to bring sustainability (e.g., zero emissions) to the forefront, leverage new technologies (e.g., automated vehicles, delivery robots, drones), and accommodate further expansion of e-commerce. In this context, simulation tools are needed to evaluate new logistics solutions and provide insights to planners and policy makers.
In the field of freight modeling research, the methodology of agent-based microsimulations has received increasing attention in the last several years. SimMobility Freight (SMF), which is developed by the MIT ITS lab, is one of the state-of-the-art agent-based freight simulators and has been used for analyzing various urban logistics solutions and scenarios. In this session, Takanori will introduce key design features of SMF and studies that use SMF, including the evaluations of cargo hitching, parking demand management, off-peak deliveries, and congestion pricing, as well as recent applications of SMF in Tokyo for evaluating the locations of logistics facilities.