Xiwen Bai

ORCID: 0000-0003-2571-2314
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About
Contact & Profiles
Research Areas
  • Maritime Ports and Logistics
  • Maritime Transport Emissions and Efficiency
  • Maritime Navigation and Safety
  • Supply Chain Resilience and Risk Management
  • Market Dynamics and Volatility
  • Energy, Environment, and Transportation Policies
  • Transportation Planning and Optimization
  • Global trade and economics
  • Global Energy Security and Policy
  • Vehicle emissions and performance
  • Cruise Tourism Development and Management
  • Infrastructure Resilience and Vulnerability Analysis
  • Economic Sanctions and International Relations
  • Risk and Safety Analysis
  • Urban and Freight Transport Logistics
  • Forecasting Techniques and Applications
  • Economic Zones and Regional Development
  • Global Energy and Sustainability Research
  • Vehicle Routing Optimization Methods
  • Diverse Aspects of Tourism Research
  • Travel-related health issues
  • Stock Market Forecasting Methods
  • Financial Risk and Volatility Modeling
  • Risk Management in Financial Firms
  • Aviation Industry Analysis and Trends

Tsinghua University
2020-2025

Xi'an Jiaotong University
2024

Nanchang University
2022

Nanyang Technological University
2014-2021

China Medical University
1992-1993

10.1016/j.tre.2016.01.012 article EN Transportation Research Part E Logistics and Transportation Review 2016-04-09

10.1016/j.tre.2023.103016 article EN Transportation Research Part E Logistics and Transportation Review 2023-01-07

The global shipping industry has long suffered from high volatilities in freight rates and bunker fuel prices that lead to significant earnings risks. This paper aims investigate the effectiveness of financial hedging operational risk management strategies 31 world leading tramp companies through a Bayesian Belief Network (BBN) model using various data sources. Operational are categorized into long-term (e.g., fleet diversity age) short-to-medium-term relative trip distance, repositioning...

10.1016/j.tre.2022.102617 article EN cc-by Transportation Research Part E Logistics and Transportation Review 2022-01-21

This study proposes high-frequency container port congestion measures based on Automatic Identification System (AIS) data. Vessel movement information of 3,957 ships from March 2017 to April is included. The world top 20 ports' berth and anchorage areas are identified through Density Based Spatial Clustering Applications with Noise (DBSCAN) convex hull methods, their hourly statuses depicted in terms the traffic volume turnaround time. constructed overcome disadvantages traditionally used or...

10.1080/03088839.2022.2057608 article EN Maritime Policy & Management 2022-04-07

10.1016/j.tra.2022.08.002 article EN Transportation Research Part A Policy and Practice 2022-08-20

10.1016/j.tre.2023.103169 article EN Transportation Research Part E Logistics and Transportation Review 2023-05-19

Container port congestion threatens the effectiveness and sustainability of global supply chain because it stagnates cargo flows triggers ripple effects across connected, multimodal freight transport networks. This study aims to develop a novel tangible method measure by investigating ship behaviors between different zones in waters. Different have varying densities ships moor anchorage area randomly but dock at berths an orderly close fashion. observation leads us apply density-based...

10.1109/tits.2023.3286477 article EN IEEE Transactions on Intelligent Transportation Systems 2023-07-17

This paper presents a dynamic programming model tailored to coordinate the sailing speeds of multiple vessels under Just-in-Time (JIT) strategy, considering berth service time uncertainty inherent in real-world operations. JIT arrival is strategic approach maritime transportation that optimizes vessel's speed throughout its voyage ensure it arrives precisely when port services are available. By aligning and call processes through enhanced collaboration between ports vessels, minimizes...

10.2139/ssrn.5087612 preprint EN 2025-01-01

10.1016/j.trd.2025.104624 article EN Transportation Research Part D Transport and Environment 2025-02-12

The COVID-19 pandemic has brought a brand-new challenge to the design and management of air transportation network (ATN). Many countries have partially or entirely shut down their international flights during this period contain spread COVID-19. However, changes in connectivity different varied greatly, as ATNs structures. Accordingly, paper studies impact topology on robustness country's ATN pandemic-induced disruptions. Therein, Weighted International Efficiency metric is proposed evaluate...

10.1109/tnse.2021.3085818 article EN IEEE Transactions on Network Science and Engineering 2021-06-01

10.1016/j.tre.2021.102364 article EN Transportation Research Part E Logistics and Transportation Review 2021-05-24
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