A hybrid decision-making approach for locating rescue materials storage points under public emergencies

Abstract

PurposeIn modern urban governance, rescue materials storage points (RMSP) are a vital role to be considered in responding to public emergencies and improving a city's emergency management. This study analyzes the siting of community-centered relief supply facilities.Design/methodology/approachCombining grey relational analysis, complex network and relative entropy, a new multi criteria method is proposed. It pays more attention to the needs of the community, taking into account the use of community hospitals, fire centers and neighborhood offices to establish small RMSP.FindingsThe research results firstly found suitable areas for RMSP site selection, including Hanyang, Qiaokou, Jiangan and Wuchang. The top 10 nodes in each region are found as the location of emergency facilities, and the network parameters are higher than ordinary nodes in traffic networks. The proposed method was applied in Wuhan, China and the method was verified by us-ing a complex network model combined with multi-criteria decision-making for emergency facility location.Practical implicationsThis method solves the problem of how to choose the optimal solution and reduces the difficulty for decision makers. This method will help emergency managers to locate and plan RMSP more simply, especially in improving emergency siting modeling techniques and additionally in providing a reference for future research.Originality/valueThe method proposed in this study is beneficial to improve the decision-making ability of urban emergency departments. Using complex networks and comprehensive evaluation techniques, RMSP is incorporated into the urban community emergency network as a critical rescue force. More importantly, the findings highlight a new direction for further research on urban emergency facilities site selection based on a combination of sound theoretical basis as well as empirical evidence gained from real life case-based analysis.Highlights:Material reserve points are incorporated into the emergency supply network to maintain the advantage of quantity.Build emergency site selection facilities centered on urban communities.Use a complex network model to select the location of emergency supplies storage sites.

Deployment Method for Aircraft-Based Maritime Emergency Communication Resource Reserve Bases

“…In [15], the Multi-Criteria Evaluation (MCE) model utilizing an exact algorithm was used to determine optimal deployment locations for energy sites. In [16], the authors aimed to streamline the emergency facility planning and decision-making process for urban emergency departments by addressing the siting problem of community-centered relief supply facilities using a novel multi-criteria method. The authors of [17] proposed a GIS-based ACO-QAP model to optimize the location of emergency medical services(EMS) stations in rural areas, aiming to improve spatial accessibility and emergency medical availability while minimizing resource usage.…”

Optimal Location of Emergency Facility Sites for Railway Dangerous Goods Transportation under Uncertain Conditions

“…Thus, robust location models, which include the box robust model [12] (the most basic robust optimization model) and ellipsoidal robust model [13], have been proposed. In addition, based on the above initial site selection models, some other location models have been developed, such as probabilistic models [14,15], a multicriteria decision-making (MCDM) framework [16][17][18][19], dual-objective models [6,10,[20][21][22][23][24][25] and triple-objective models [26][27][28]. In the above location models, the main objective function is generally the shortest time/mileage to ensure the effectiveness of emergency response; second, these studies will use overall system cost or maximum coverage as the lower level objective function (or constraint) to ensure the economy of facility operation and maintenance.…”

“…In summary, current studies on facility siting problems mainly focus on the location of supply chain dispatch centers [14,24,25,28] and urban public medical/security service facilities [6,[14][15][16][19][20][21][34][35][36]. In the field of transportation, facility siting methods are mainly applied to road traffic [10,15,19,20], and research on emergency facility siting problems for railroads [22] is few and in the initial stage.…”

“…In summary, current studies on facility siting problems mainly focus on the location of supply chain dispatch centers [14,24,25,28] and urban public medical/security service facilities [6,[14][15][16][19][20][21][34][35][36]. In the field of transportation, facility siting methods are mainly applied to road traffic [10,15,19,20], and research on emergency facility siting problems for railroads [22] is few and in the initial stage. In addition, the railroad emergency facility siting problem is a sub branch of the location problem with the characteristics of rescue time constraint, route linearity and service level restriction, which determine the uncertainty of the emergency demand, emergency time and location and the emergency facilities' service capacity, which should be categorized into the discussion of the robust location problem.…”

Designing a post-disaster humanitarian supply chain using machine learning and multi-criteria decision-making techniques

“…On the other hand, unstable humanitarian supply chains are prone to political influence and are often inefficient due to a lack of joint planning and inter-organizational cooperation (Fathalikhani et al ., 2018). They have the inadequate logistical infrastructure and are unaware of the location and purpose of their relief assistance (Xu et al ., 2022). Another problem in the humanitarian supply chain is coordination between different organizations.…”