Takanori Sakai
Associate Professor, Logistics and Information Engineering
Dr. Takanori Sakai is an Associate Professor at the Department of Logistics and Information Engineering, School of Marine Technology, Tokyo University of Marine Science and Technology (TUMSAT).
Takanori's research interest lies in urban freight transportation and logistics.
His current research subject is the advanced urban and transportation simulations for
evaluating land use, smart transportation systems, and novel transportation policies.
When he was in MIT-ITS lab, he was engaged in the development of SimMobility, an agent-based urban simulation platform for transportation and land-use.
He led the development of SimMobility Freight, one of the main modules in SimMobility.
Furthermore, he has been conducting studies on how the evolutions in Information and Communication Technology and freight transportation systems transform the logistics land use in metropolitan areas and affect the transportation system and the environment.
Takanori obtained a Ph.D. degree from the Department of Urban Planning and Policy at the University of Illinois at Chicago (UIC) in 2017.
Before joining TUMSAT, he was a Senior Postdoctoral Associate at Singapore-MIT Alliance for Research and Technology (SMART), the MIT’s research institute in Singapore.
He has an extensive record of research in transport studies and received the Best Paper Awards
in the Transportation Research Board (TRB) (US) Urban Freight Transportation Committee in 2017 and 2018 for the research taking novel approaches in urban freight modeling and analysis.
He is currently serving as a committee member of the TRB Freight Transportation and Logistics Committee (AT015).
Google Scholar
CV
Azuki Watanabe
Undergraduate Student (B4)
Yuri Sakamoto
Undergraduate Student (B4)
Mika Taniguchi
Undergraduate Student (B4)
Mei Okura
Undergraduate Student (B4)
Yuichiro Tanaka
Undergraduate Student (B4)
Masahiro Kawasaki
Undergraduate Student (B4)
Kim Haneul
OQEANOUS Plus IJP Program, Korea Maritime University
Graduates
Yusei Onuma(2024, Bachelor's degree)
Research: Covariance structure analysis of online shopping use: a comparison between Japan and the USA focusing on accessibility to railways
Seita Mori(2024, Bachelor's degree)
Research: Development of a Value Flow estimation method combining two traffic census data sets
Riko Matsushita(2024, Bachelor's degree)
Research: The location potential of factories in the Tokyo metropolitan area
Tatsumi Sato(2024, Bachelor's degree)
Research:Research on the actual state of world cargo ship navigation and port use using AIS data
Kaho Fujiyama(2024, Bachelor's degree)
Research: The impact of transport facility development and the Corona disaster using overnight travel statistics
Virgilio Ramos Jr. (2023, Master degree)
Research: A Framework for Urban Freight Simulation Focusing on Household E-commerce Demand
Shugo Nibe (2023, Master degree)
Research: Freight Vehicle Tour Analysis using Probe Data
Yurika Takano (2023, Bachelor's degree)
Research: "The evolution of urban freight generation: a study of intra- and inter-city truck trips"
Shota Iizuka (2022, Barchelor's degree)
Research: "Decision factors for online and offline shopping:
analysis using the NYC Mobility Survey data under the coronavirus pandemic"
Kohei Santo (2022, Barchelor's degree)
Research: "Study of logistics facility locations for e-commerce"
Visiting scholars in the past
Lin Xiaohong
Nov 2023 - Feb 2024, Master student at Harbin Institute of Technology, Shenzhen
Huang Yinghuan
Nov 2023 - Feb 2024, Master student at Harbin Institute of Technology, Shenzhen
Coriolan Gout
Oct-Dec,2022 from the University of Paris 1 Panthéon-Sorbonne
