Volume 40 Issue 4
Aug.  2022
Turn off MathJax
Article Contents
ZHANG Honggang, WANG Wei, PAN Minrong, LIU Zhiyuan. Optimization of the Transportation Network of Hazardous Materials Considering Bounded Rationality and Equity[J]. Journal of Transport Information and Safety, 2022, 40(4): 38-45. doi: 10.3963/j.jssn.1674-4861.2022.04.004
Citation: ZHANG Honggang, WANG Wei, PAN Minrong, LIU Zhiyuan. Optimization of the Transportation Network of Hazardous Materials Considering Bounded Rationality and Equity[J]. Journal of Transport Information and Safety, 2022, 40(4): 38-45. doi: 10.3963/j.jssn.1674-4861.2022.04.004

Optimization of the Transportation Network of Hazardous Materials Considering Bounded Rationality and Equity

doi: 10.3963/j.jssn.1674-4861.2022.04.004
  • Received Date: 2022-03-29
    Available Online: 2022-09-17
  • For the optimization of the transportation network of hazardous materials (hazmat) with risk control, the effects of route selection for hazmat carriers considering bounded rationality on transportation risk is studied. A bi-level programming model is developed based on a robust optimization method to achieve risk equity by increasing the upper bound constraint on the maximum link risk. In which, the upper level aims to minimize the maximum total risk of the transportation network, the upper bound value of maximum link risk, and the total number of link closures by closing quite a few links. The lower lever indicates that the hazmat carriers considering bounded rationality chose the route with minimum total cost considering perceptual errors. For the traditional heuristic algorithms easily fall into the local optimal solutions, a cutting plane algorithm is proposed to solve the model by redefining the problems of upper and lower levels, and finally a numerical example is given. The results show that, the total cost of hazmat carriers considering bounded rationality increases by 3.5%, but the maximum total risk of the transportation network of hazmat decreases by 8.4%. By changing the focus of government departments on each objective, boundedly rational route choice behaviors of hazmat carriers can be influenced. The variance coefficient and the Gini coefficient decrease by 36.1% and 26.2%, respectively, which results in achieving the goal of risk equity between different links. In a case of vehicle restriction strategy, a sensitivity analysis is carried out on the perceptual errors of hazmat carriers considering bounded rationality. It shows that the minimum value of the maximum total risk of the transportation network would not change, but has impacts on the total number of link closures. In the case that hazmat carriers are bounded rational decision makers, a more realistic transportation network for hazmat can be designed for government departments, thus effectively reducing transportation risks.

     

  • loading
  • [1]
    刘文龙, 戢晓峰. 多分辨率视角下危险品事故风险评估方法[J]. 交通信息与安全, 2020, 38(6): 17-30. doi: 10.3963/j.jssn.1674-4861.2020.06.003

    LIU W L, JI X F. An assessment method of accident risk for dangerous goods in a perspective of multi-resolution[J]. Journal of Transport Information and Safety, 2020, 38(6): 17-30. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2020.06.003
    [2]
    VINERI E, PRASHKER J N. Sensitivity to uncertainty: The need for a paradigm shift[J]. Transportation Research Record, 2003(1854): 90-98.
    [3]
    马剑, 王翔, 肖修昆. 基于有限理性路径决策的人员疏散双层规划模型[J]. 系统工程理论与实践, 2020, 40(10): 2698-2706. doi: 10.12011/1000-6788-2019-1474-09

    MA J, WANG X, XIAO X K. Bi-level evacuation modeling considering boundedly rational route choice behavior[J]. Systems Engineering-Theory & Practice, 2020, 40(10): 2698-2706. (in Chinese) doi: 10.12011/1000-6788-2019-1474-09
    [4]
    KARA B Y, VERTERV. Designing a road network for hazardous materials transportation[J]. Transportation Science, 2004, 38(2): 188-196. doi: 10.1287/trsc.1030.0065
    [5]
    SUN L S, KARWANM H, KWONC H. Robust hazmat network design problems considering risk uncertainty[J]. Transportation Science, 2016, 50(4): 1188-1203. doi: 10.1287/trsc.2015.0645
    [6]
    TASLIMI M, BATTA R, KWON C. A comprehensive modeling framework for hazmat network design, hazmat response team location, and equity of risk[J]. Computers & Operations Research, 2017(79): 119-130.
    [7]
    BIANCO L, CARAMIA M, GIORDANI S. A bi-level flow model for hazmat transportation network design[J]. Transportation Research Part C: Emerging Technologies, 2009, 17(2): 175-196. doi: 10.1016/j.trc.2008.10.001
    [8]
    辛春林, 张建文, 张艳东. 基于最小最大准则的危险品运输网络优化研究[J]. 中国安全科学学报, 2016, 26(8): 84-89. https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK201608017.htm

    XIN C L, ZHANG J W, ZHANG Y D. Hazardous materials transportation network optimization based on min-max criterion[J]. China Safety Science Journal, 2016, 26(8): 84-89. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK201608017.htm
    [9]
    MARCOTTE P, MERCIER A, SAVARD G, et al. Toll policies for mitigating hazardous materials transport risk[J]. Transportation Science, 2009, 43(2): 228-243. doi: 10.1287/trsc.1080.0236
    [10]
    WANG J, KANG Y, KWON C H, et al. Dual toll pricing for hazardous materials transport with linear delay[J]. Networks Spatial Economics, 2012, 12(1): 147-165. doi: 10.1007/s11067-011-9156-9
    [11]
    BIANCO L, CARAMIA M, GIORDANI S, et al. A game theoretic approach for regulating hazmat transportation[J]. Transportation Science, 2016, 50(2): 424-438. doi: 10.1287/trsc.2015.0592
    [12]
    ASSADIPOUR G, KE G Y, VERMA M. Planning and managing intermodal transportation of hazardous materials with capacity selection and congestion[J]. Transportation Research Part E: Logistics and Transportation Review, 2015(76): 45-57.
    [13]
    ASSADIPOUR G, KE G Y, VERMA M. A toll-based bi-level programming approach to managing hazardous materials shipments over an intermodal transportation network[J]. Transportation Research Part D: Transport and Environment, 2016(47): 208-221.
    [14]
    李奇, 贺政纲, 张超. 时变条件下基于收费策略的危险品运输网络优化[J]. 交通运输工程与信息学报, 2019, 17(1): 52-58. https://www.cnki.com.cn/Article/CJFDTOTAL-JTGC201901009.htm

    LI Q, HE Z G, ZHANG C. Optimization of hazardous materials transportation network based on tolling strategy under time-varying conditions[J]. Journal of Transportation Engineering and Information, 2019, 17(1): 52-58. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JTGC201901009.htm
    [15]
    SIMON S A. A behavioral model for rational choice[J]. The Quarterly Journal of Economics, 1955, 69(1): 99-118. doi: 10.2307/1884852
    [16]
    MAHMASSANI H S, JOU R C. Transfering insignts into commuter behavior dynamics from laboratory experiments to field surveys[J]. Transportation Research Part A: Policy and Practice, 2000, 34(4): 243-260. doi: 10.1016/S0965-8564(99)00003-8
    [17]
    LOU Y, YIN Y, LAWPHONGPANICH S. Robust congestion pricing under boundedly rational user equilibrium[J]. Transportation Research Part B: Methodological, 2010(44): 15-28.
    [18]
    SUN L S, KARWAN M H, KWON C H. Generalized bounded rationality and robust multi-commodity network design[J]. Operations Research, 2018, 66(1): 42-57. doi: 10.1287/opre.2017.1621
    [19]
    王伟, 张宏刚, 丁黎黎, 等. 考虑车辆限速和风险公平性的危险品运输网络双目标优化模型[J]. 系统工程, 2018, 36 (7): 91-104. https://www.cnki.com.cn/Article/CJFDTOTAL-GCXT201807011.htm

    WANG W, ZHANG H G, DING L L, et al. The dual objective optimization model for hazardous materials transportation network considering vehicle speed limits and risk equity[J]. Systems Engineering, 2018, 36(7): 91-104. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GCXT201807011.htm
    [20]
    ERKUT E. Inequality measures for location problems[J]. Location Science, 1993(1): 199-217.
    [21]
    王伟, 张宏刚, 张文思, 等. 考虑车辆限速区间和风险公平性的危险品运输网络优化[J]. 安全与环境学报, 2021, 21 (5): 2178-2187. https://www.cnki.com.cn/Article/CJFDTOTAL-AQHJ202105042.htm

    WANG W, ZHANG H G, ZHANG W S, et al. On the approach to optimizing the transportation network of the hazardous materials on account of the vehicle speed limit intervals and the risk equity[J]. Journal of Safety and Environment, 2021, 21(5): 2178-2187. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-AQHJ202105042.htm
    [22]
    马昌喜, 何瑞春, 熊瑞琦. 基于双层规划的危险货物配送路径鲁棒优化[J]. 交通运输工程学报, 2018, 18(5): 165-175. https://www.cnki.com.cn/Article/CJFDTOTAL-JYGC201805019.htm

    MA C X, HE R C, XIONG R Q. Robust optimization on distributing routes of hazardous materials based on bi-level programming[J]. Journal of Traffic and Transportation Engineering, 2018, 18(5): 165-175. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JYGC201805019.htm
    [23]
    GZARA F. A cutting plane approach for bi-level hazardous materials transport network design[J]. Operations Research Letters, 2013, 41(1): 40-46.
    [24]
    HUANG D, WANG Z L, ZHANG H G, et al. An optimal transit fare and frequency designmodel with equity impact constraints[J]. Journal of Transportation Engineering Part A-Systems, 2021, 147(12): 04021095.
    [25]
    王伟. 基于有限理性的出行行为建模与均衡分析[D]. 北京: 北京交通大学, 2015.

    WANG W. Modeling and equilibrium analysis of travel behaviors based on bounded rationality[D]. Beijing: Beijing Jiaotong University, 2015. (in Chinese)
    [26]
    REVELLE C, COHON J, SHOBRYS D. Simultaneous sitting and routing in the disposal of hazardous wastes[J]. Transportation Science, 1991, 25(2): 138-145.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(5)  / Tables(6)

    Article Metrics

    Article views (1303) PDF downloads(664) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return