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Engineering and Technology

D-Index
67
Citations
14918
World Ranking
1329
National Ranking
259

Overview

Shuaian Wang is affiliated with Hong Kong Polytechnic University in China and primarily works in the field of Engineering. Their research spans various subfields including Industrial and Manufacturing Engineering, Environmental Engineering, Ocean Engineering, Automotive Engineering, and Transportation.

Their recent papers cover several dimensions of transportation and maritime studies, addressing issues like fuel consumption, electric vehicle infrastructure, and fleet management. Notable publications include:

  • Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship (2020), published in Transportation Research Part E Logistics and Transportation Review
  • Optimal electric bus fleet scheduling considering battery degradation and non-linear charging profile (2021), published in Transportation Research Part E Logistics and Transportation Review
  • Mitigate the range anxiety: Siting battery charging stations for electric vehicle drivers (2020), published in Transportation Research Part C Emerging Technologies
  • Green technology adoption for fleet deployment in a shipping network (2020), published in Transportation Research Part B Methodological
  • Data analytics for fuel consumption management in maritime transportation: Status and perspectives (2021), published in Transportation Research Part E Logistics and Transportation Review

The main topics of Shuaian Wang's work exhibit a focus on maritime and transportation challenges, including:

  • Maritime Transport Emissions and Efficiency
  • Maritime Ports and Logistics
  • Maritime Navigation and Safety
  • Vehicle Routing Optimization Methods
  • Transportation Planning and Optimization
  • Transportation and Mobility Innovations
  • Vehicle emissions and performance

Collaboration is a significant aspect of their research, with frequent co-authors including Ran Yan, Lu Zhen, Xuecheng Tian, Min Xu, and Dan Zhuge. These partnerships span multiple papers and contribute to the breadth of their scientific output.

Key venues for their published work include:

  • SSRN Electronic Journal
  • Transportation Research Part B Methodological
  • Mathematics
  • Transportation Research Part E Logistics and Transportation Review
  • Transportation Research Part C Emerging Technologies

In addition to journal articles, Shuaian Wang has contributed to academic book publications. One example is the book titled Applications of Machine Learning and Data Analytics Models in Maritime Transportation, published in 2022 by the Institution of Engineering and Technology.

Best Publications

  • Sailing speed optimization for container ships in a liner shipping network

    Shuaian Wang;Qiang Meng

  • Containership Routing and Scheduling in Liner Shipping: Overview and Future Research Directions

    Qiang Meng;Shuaian Wang;Henrik Andersson;Kristian Thun

  • How big data enriches maritime research – a critical review of Automatic Identification System (AIS) data applications

    Dong Yang;Lingxiao Wu;Shuaian Wang;Haiying Jia

  • Liner shipping service network design with empty container repositioning

    Qiang Meng;Shuaian Wang

  • Liner ship route schedule design with sea contingency time and port time uncertainty

    Shuaian Wang;Qiang Meng

  • Integrated internal truck, yard crane and quay crane scheduling in a container terminal considering energy consumption

    Junliang He;Youfang Huang;Wei Yan;Shuaian Wang

  • Global optimization methods for the discrete network design problem

    Shuaian Wang;Qiang Meng;Hai Yang

  • On the fundamental diagram for freeway traffic: A novel calibration approach for single-regime models

    Xiaobo Qu;Shuaian Wang;Jin Zhang

  • A two-phase optimization model for the demand-responsive customized bus network design

    Di Huang;Yu Gu;Shuaian Wang;Zhiyuan Liu

  • Liner Ship Fleet Deployment with Container Transshipment Operations

    Shuaian Wang;Qiang Meng

  • Bunker consumption optimization methods in shipping: A critical review and extensions

    Shuaian Wang;Qiang Meng;Zhiyuan Liu

  • Short-term liner ship fleet planning with container transshipment and uncertain container shipment demand

    Qiang Meng;Tingsong Wang;Shuaian Wang

  • Robust schedule design for liner shipping services

    Shuaian Wang;Qiang Meng

  • Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship

    Ran Yan;Shuaian Wang;Yuquan Du

  • On the Stochastic Fundamental Diagram for Freeway Traffic: Model Development, Analytical Properties, Validation, and Extensive Applications

    Xiaobo Qu;Jin Zhang;Shuaian Wang

  • Optimal electric bus fleet scheduling considering battery degradation and non-linear charging profile

    Le Zhang;Le Zhang;Shuaian Wang;Xiaobo Qu

  • A tree-structured crash surrogate measure for freeways

    Yan Kuang;Xiaobo Qu;Shuaian Wang

  • Robust optimization model of schedule design for a fixed bus route

    Yadan Yan;Yadan Yan;Qiang Meng;Shuaian Wang;Xiucheng Guo

  • Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data

    Yuquan Du;Qiang Meng;Shuaian Wang;Haibo Kuang

  • Mitigate the range anxiety: Siting battery charging stations for electric vehicle drivers

    Min Xu;Hai Yang;Shuaian Wang

  • Optimal Distance Tolls under Congestion Pricing and Continuously Distributed Value of Time

    Qiang Meng;Zhiyuan Liu;Shuaian Wang

  • Speed-based toll design for cordon-based congestion pricing scheme

    Zhiyuan Liu;Qiang Meng;Shuaian Wang

  • Optimal operating strategy for a long-haul liner service route

    Qiang Meng;Shuaian Wang

Frequent Co-Authors

Qiang Meng
Qiang Meng National University of Singapore
Zhiyuan Liu
Zhiyuan Liu Southeast University
Xiaobo Qu
Xiaobo Qu Xiamen University
Lu Zhen
Lu Zhen Shanghai University
Gilbert Laporte
Gilbert Laporte HEC Montréal
Hai Yang
Hai Yang Hong Kong University of Science and Technology
Chung Yee Lee
Chung Yee Lee Hong Kong University of Science and Technology
Michael G.H. Bell
Michael G.H. Bell University of Sydney
Harilaos N. Psaraftis
Harilaos N. Psaraftis Technical University of Denmark
Kjetil Fagerholt
Kjetil Fagerholt Norwegian University of Science and Technology

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