Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

A multi-objective emergency network design problem to carry out disaster relief operations in developing countries

A multi-objective emergency network design problem to carry out disaster relief operations in... One of the problems in post-earthquake disaster management in developing countries, such as Iran, is the prediction of the residual network available for disaster relief operations. Therefore, it is important to use methods that are executable in such countries given the limited amount of accurate data. The purpose of this paper is to present a multi-objective model that seeks to determine the set of roads of a transportation network that should preserve its role in carrying out disaster relief operations (i.e. known as “emergency road network” (ERN)) in the aftermath of earthquakes.Design/methodology/approachIn this paper, the total travel time of emergency trips, the total length of network and the provision of coverage to the emergency demand/supply points have been incorporated as three important metrics of ERN into a multi-objective mixed integer linear programming model. The proposed model has been solved by adopting the e-constraint method.FindingsThe results of applying the model to Tehran’s highway network indicated that the least possible length for the emergency transportation network is about half the total length of its major roads (freeways and major arterials).Practical implicationsGathering detailed data about origin-destination pair of emergency trips and network characteristics have a direct effect on designing a suitable emergency network in pre-disaster phase.Originality/valueTo become solvable in a reasonable time, especially in large-scale cases, the problem has been modeled based on a decomposing technique. The model has been solved successfully for the emergency roads of Tehran within about 10 min of CPU time. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Humanitarian Logistics and Supply Chain Management Emerald Publishing

A multi-objective emergency network design problem to carry out disaster relief operations in developing countries

Download PDF
20 pages

Loading next page...
 
/lp/emerald-publishing/a-multi-objective-emergency-network-design-problem-to-carry-out-2EIdwjoHXx
Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2042-6747
DOI
10.1108/jhlscm-12-2018-0081
Publisher site
See Article on Publisher Site

Abstract

One of the problems in post-earthquake disaster management in developing countries, such as Iran, is the prediction of the residual network available for disaster relief operations. Therefore, it is important to use methods that are executable in such countries given the limited amount of accurate data. The purpose of this paper is to present a multi-objective model that seeks to determine the set of roads of a transportation network that should preserve its role in carrying out disaster relief operations (i.e. known as “emergency road network” (ERN)) in the aftermath of earthquakes.Design/methodology/approachIn this paper, the total travel time of emergency trips, the total length of network and the provision of coverage to the emergency demand/supply points have been incorporated as three important metrics of ERN into a multi-objective mixed integer linear programming model. The proposed model has been solved by adopting the e-constraint method.FindingsThe results of applying the model to Tehran’s highway network indicated that the least possible length for the emergency transportation network is about half the total length of its major roads (freeways and major arterials).Practical implicationsGathering detailed data about origin-destination pair of emergency trips and network characteristics have a direct effect on designing a suitable emergency network in pre-disaster phase.Originality/valueTo become solvable in a reasonable time, especially in large-scale cases, the problem has been modeled based on a decomposing technique. The model has been solved successfully for the emergency roads of Tehran within about 10 min of CPU time.

Journal

Journal of Humanitarian Logistics and Supply Chain Management – Emerald Publishing

Published: Oct 18, 2019

Keywords: Earthquake; Disaster relief operations; Multi-objective optimization; Network design; Emergency transportation

References

  • An exact solution approach for multi-objective location – transportation problem for disaster response
    Abounacer, R.; Rekik, M.; Renaud, J.
  • Modeling integrated supply chain logistics in real-time large-scale disaster relief operations
    Afshar, A.; Haghani, A.
  • ‘Stochastic network design problem: an optimal link investment model for reliable network
    Asakura, Y.; Hato, E.; Kashiwadani, M.
  • Facility location in humanitarian relief
    Balcik, B.; Beamon, B.M.
  • A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty
    Bozorgi-Amiri, A.; Jabalameli, M.; Al-e-Hashem, S.M.
  • Allocation of temporary disaster response facilities under demand uncertainty: an earthquake case study
    Cavdur, F.; Kose-Kucuk, M.; Sebatli, A.
  • A reliability-based network design problem
    Chootinan, P.; Wong, S.; Chen, A.
  • Optimization of transportation-infrastructure-system protection considering weighted connectivity reliability
    Chu, J.C.; Chen, S.-C.
  • A stochastic optimization model to reduce expected post-disaster response time through pre-disaster investment decisions
    Du, L.; Peeta, S.
  • Transportation network reliability in emergency response
    Edrissi, A.; Nourinejad, M.; Roorda, M.J.
  • A multi-agent optimization formulation of earthquake disaster prevention and management
    Edrissi, A.; Poorzahedy, H.; Nassiri, H.; Nourinejad, M.
  • Proactive and reactive models for disaster resilient supply chain
    Elluru, S.; Gupta, H.; Kaur, H.; Singh, S.P.
  • A mathematical framework for quantifying and optimizing protective actions for civil infrastructure systems
    Faturechi, R.; Miller‐Hooks, E.
  • An efficient network for disaster management: model and solution
    Hasanzadeh, H.; Bashiri, M.
  • A subway planning bi-objective multi-period optimization model integrating timetabling and vehicle scheduling: a case study of Tehran
    Heidari, M.; Hosseini-Motlagh, S.-M.; Nikoo, N.
  • Handling of dead people after two large earthquake disasters in Iran: Tabas 1978 and Bam 2003 – survivors’ perspectives, beliefs, funerary rituals, resilience and risk
    Ibrion, M.; Parsizadeh, F.; Naeini, M.P.; Mokhtari, M.; Nadim, F.
  • Lessons learned from the recent earthquakes in Iran
    Jafari, M.A.
  • Design of emergency logistics networks, taking efficiency, risk and robustness into consideration
    Jeong, K.-Y.; Hong, J.-D.; Xie, Y.
  • Sustainable procurement and logistics for disaster resilient supply chain
    Kaur, H.; Singh, S.P.
  • Transportation network vulnerability analysis for the case of a catastrophic earthquake
    Khademi, N.; Balaei, B.; Shahri, M.; Mirzaei, M.; Sarrafi, B.; Zahabiun, M.; Mohaymany, A.S.
  • Network design and transportation planning: models and algorithms
    Magnanti, T.L.; Wong, R.T.
  • Survey of multi-objective optimization methods for engineering
    Marler, R.T.; Arora, J.S.
  • Effective implementation of the ε-constraint method in multi-objective mathematical programming problems
    Mavrotas, G.
  • Some lessons learned from post-earthquake damage survey of structures in Bam, Iran earthquake of 2003
    Mehrabian, A.; Haldar, A.
  • A bi-objective stochastic model for emergency medical services network design with backup services for disasters under disruptions: an earthquake case study
    Mohamadi, A.; Yaghoubi, S.
  • Anti-seismic reinforcement strategy for an urban road network
    Nagae, T.; Fujihara, T.; Asakura, Y.
  • Emergency transportation network design problem: identification and evaluation of disaster response routes
    Nikoo, N.; Babaei, M.; Mohaymany, A.S.
  • Stochastic humanitarian inventory control model for disaster planning
    Ozbay, K.; Ozguven, E.
  • Emergency logistics planning in natural disasters
    Özdamar, L.; Ekinci, E.; Küçükyazici, B.
  • Pre-disaster investment decisions for strengthening a highway network
    Peeta, S.; Sibel Salman, F.; Gunnec, D.; Viswanath, K.
  • Enhanced connectivity index – a new measure for identifying critical points in urban public transportation networks
    Psaltoglou, A.; Calle, E.
  • A robust model for a humanitarian relief network with backup covering under disruptions: a real world application
    Rahmani, D.; Zandi, A.; Peyghaleh, E.; Siamakmanesh, N.
  • An integrated routing and scheduling model for evacuation and commodity distribution in large-scale disaster relief operations: a case study
    Sabouhi, F.; Bozorgi-Amiri, A.; Moshref-Javadi, M.; Heydari, M.
  • Robust bi-level optimization of relief logistics operations
    Safaei, A.S.; Farsad, S.; Paydar, M.M.
  • A transport network reliability model for the efficient assignment of resources
    Sanchez-Silva, M.; Daniels, M.; Lleras, G.; Patino, D.
  • Critical routes determination for emergency transportation network aftermath earthquake
    Shariat Mohaymany, A.; Pirnazar, N.
  • Formulating multi-objective stochastic dynamic facility layout problem for disaster relief
    Tayal, A.; Singh, S.P.
  • Integrated relief pre-positioning and procurement planning in humanitarian supply chains
    Torabi, S.A.; Shokr, I.; Tofighi, S.; Heydari, J.
  • Multi-objective optimal planning for designing relief delivery systems
    Tzeng, G.-H.; Cheng, H.-J.; Huang, T.D.
  • A methodology to assess the criticality of highway transportation networks
    Ukkusuri, S.V.; Yushimito, W.F.
  • Strategic emergency preparedness network design integrating supply and demand sides in a multi-objective approach
    Üster, H.; Dalal, J.
  • Multicommodity maximal covering network design problem for planning critical routes for earthquake response
    Viswanath, K.; Peeta, S.
  • The need for data: natural disasters and the challenges of database management
    Wirtz, A.; Kron, W.; Löw, P.; Steuer, M.
  • A new model for a 72-h post-earthquake emergency logistics location-routing problem under a random fuzzy environment
    Xu, J.; Wang, Z.; Zhang, M.; Tu, Y.
  • Optimal shortest path set problem in undirected graphs
    Zhang, H.; Xu, Y.; Wen, X.
  • Inventory modelling for complex emergencies in humanitarian relief operations
    Beamon, B.M.; Kotleba, S.A.