A data-driven inspection method for identifying container bookings with concealed hazardous materials

被引:0
|
作者
Shen, Xiuyu [1 ]
Chen, Jingxu [1 ]
Zhu, Siying [2 ]
Yu, Xinlian [1 ]
机构
[1] Southeast Univ, Sch Transportat, Nanjing, Peoples R China
[2] Singapore Univ Social Sci, Sch Business, Singapore, Singapore
关键词
Transportation engineering; hazardous materials transport; container booking; concealment inspection; data-driven method; TRANSPORTATION; RISK; MODEL;
D O I
10.1080/0305215X.2023.2255527
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Hazardous materials (a.k.a. hazmats) are transported by containers with special equipment in transportation engineering but must be declared prior to shipment. Some shippers deliberately conceal hazmat information in their container bookings to gain a higher profit, which has potentially serious consequences. To reduce such risk, the inspection office selects a part of the containers for hazmat concealment inspection, but the efficiency is low. In this study, a data-driven inspection method is proposed for identifying container bookings with concealed hazmats by exploring the relationship between inspection results and items in the container booking information profile filled by shippers. A tailored cost-sensitive loss function is designed to address the class imbalance issue. The application of the proposed method is validated by case studies based on the hazmat inspection database from Ningbo Ocean Shipping Company. The findings provide instructive implications on the identification of subsequent container bookings that are of high interest for inspection.
引用
收藏
页码:1361 / 1381
页数:21
相关论文
共 50 条
  • [31] A data-driven method for dissipative thermomechanics
    Ruiz, D.
    Portillo, D.
    Romero, I
    IFAC PAPERSONLINE, 2021, 54 (19): : 315 - 320
  • [32] The materials data ecosystem: Materials data science and its role in data-driven materials discovery
    尹海清
    姜雪
    刘国权
    Sharon Elder
    徐斌
    郑清军
    曲选辉
    Chinese Physics B, 2018, 27 (11) : 124 - 129
  • [33] Data-driven surrogate modeling of aerodynamic forces on the superstructure of container vessels
    Pache, Rupert
    Rung, Thomas
    ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 2022, 16 (01) : 746 - 763
  • [34] EARTH MATERIALS SCIENCE IN A DATA-DRIVEN PARADIGM
    Kuwatani, Tatsu
    ELEMENTS, 2019, 15 (04) : 280 - 281
  • [35] Data-Driven Evolutionary Modeling in Materials Technology
    Kabliman, Evgeniya
    GENETIC PROGRAMMING AND EVOLVABLE MACHINES, 2023, 24 (02)
  • [36] DATA-DRIVEN ROBUST MODEL FOR CONTAINER SLOT ALLOCATION WITH UNCERTAIN DEMAND
    Ma, X. Y.
    Lin, Y.
    Ma, Q. W.
    INTERNATIONAL JOURNAL OF SIMULATION MODELLING, 2021, 20 (04) : 707 - 718
  • [37] Proactive berth scheduling with data-driven buffer time in container terminals
    Woo, Sung Hun
    Park, Hyun Ji
    Cho, Sung Won
    Kim, Ki Hong
    INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 2024, 31 (05) : 2875 - 2902
  • [38] Data-driven dynamic stacking strategy for export containers in container terminals
    Hyun Ji Park
    Sung Won Cho
    Abhilasha Nanda
    Jin Hyoung Park
    Flexible Services and Manufacturing Journal, 2023, 35 : 170 - 195
  • [39] Data-driven study of container handling charges in coastline ports of China
    Guan, Tianchao
    Zhang, Zhehui
    Xu, Di
    Cai, Peng
    JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (02) : 731 - 739
  • [40] Data-driven dynamic stacking strategy for export containers in container terminals
    Park, Hyun Ji
    Cho, Sung Won
    Nanda, Abhilasha
    Park, Jin Hyoung
    FLEXIBLE SERVICES AND MANUFACTURING JOURNAL, 2023, 35 (01) : 170 - 195