GIS and Optimisation: Potential Benefits for Emergency Facility Location in Humanitarian Logistics

被引:13
|
作者
Rodriguez-Espindola, Oscar [1 ]
Albores, Pavel [1 ]
Brewster, Christopher [2 ]
机构
[1] Aston Univ, Aston Business Sch, Birmingham B4 7ET, W Midlands, England
[2] TNO, Data Sci Grp, NL-3769 DE Soesterberg, Netherlands
关键词
humanitarian logistics; floods; geographical information systems; disaster management;
D O I
10.3390/geosciences6020018
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely linked to the geography of the affected area. As a result, several papers in the academic field of humanitarian logistics have incorporated the use of Geographical Information Systems (GIS) for disaster management. However, most of the contributions in the literature are using these systems for network analysis and display, with just a few papers exploiting the capabilities of GIS to improve planning and preparedness. To show the capabilities of GIS for disaster management, this paper uses raster GIS to analyse potential flooding scenarios and provide input to an optimisation model. The combination is applied to two real-world floods in Mexico to evaluate the value of incorporating GIS for disaster planning. The results provide evidence that including GIS analysis for a decision-making tool in disaster management can improve the outcome of disaster operations by reducing the number of facilities used at risk of flooding. Empirical results imply the importance of the integration of advanced remote sensing images and GIS for future systems in humanitarian logistics.
引用
收藏
页数:34
相关论文
共 50 条
  • [1] Facility location optimization model for emergency humanitarian logistics
    Boonmee, Chawis
    Arimura, Mikiharu
    Asada, Takumi
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2017, 24 : 485 - 498
  • [2] Decision support framework for facility location and demand planning for humanitarian logistics
    Munyaka, Jean-Claude Baraka
    Yadavalli, Venkata Seshachala Sarma
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2021, 12 (01) : 9 - 28
  • [3] Including deprivation costs in facility location models for humanitarian relief logistics
    Cotes, Nathalie
    Cantillo, Victor
    SOCIO-ECONOMIC PLANNING SCIENCES, 2019, 65 : 89 - 100
  • [4] Decision support framework for facility location and demand planning for humanitarian logistics
    Jean-Claude Baraka Munyaka
    Venkata Seshachala Sarma Yadavalli
    International Journal of System Assurance Engineering and Management, 2021, 12 : 9 - 28
  • [5] Emergency facility location problems in logistics: Status and perspectives
    Wang, Wei
    Wu, Shining
    Wang, Shuaian
    Zhen, Lu
    Qu, Xiaobo
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2021, 154
  • [6] Cost-effectiveness optimisation for a location-routing problem in humanitarian logistics
    Wang, Xihui
    Liu, Tongxin
    Fan, Yu
    Liang, Liang
    INTERNATIONAL JOURNAL OF SHIPPING AND TRANSPORT LOGISTICS, 2024, 19 (01)
  • [7] Multi-Criteria Location Model of Emergency Shelters in Humanitarian Logistics
    Geng, Shaoqing
    Hou, Hanping
    Zhang, Shaoguang
    SUSTAINABILITY, 2020, 12 (05)
  • [8] A two-echelon stochastic facility location model for humanitarian relief logistics
    Doyen, Alper
    Aras, Necati
    Barbarosoglu, Gulay
    OPTIMIZATION LETTERS, 2012, 6 (06) : 1123 - 1145
  • [9] A two-echelon stochastic facility location model for humanitarian relief logistics
    Alper Döyen
    Necati Aras
    Gülay Barbarosoğlu
    Optimization Letters, 2012, 6 : 1123 - 1145
  • [10] Facility location in humanitarian relief
    Balcik, B.
    Beamon, B. M.
    INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2008, 11 (02) : 101 - 121