Optimization models for large scale network evacuation planning and management: A literature review

Bayram, Vedat

doi:10.1016/j.sorms.2016.11.001

Cited by 99 publications

(82 citation statements)

References 181 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For a more detailed review of deterministic evacuation planning studies, we refer the reader to Bayram et al [8] and Bayram [7].…”

Section: Deterministic Evacuation Planning Modelsmentioning

confidence: 99%

“…Key studies in the literature (Baker [4], Dash and Gladwin [36], Kim and Oh [57], Mawson [70], Murray−Tuite and Wolshon [74], Perry [81]) state that evacuee behavior is affected by many factors that causes uncertainty in the evacuation demand. We refer the reader to Bayram [7] for a detailed review of uncertainty in evacuation demand caused by human behavior. Although the number of evacuees during Hurricane Rita from the Galvestan and Harris Counties was predicted to be less than 700,000, the actual number turned out to be 1.8 million people (Lindell and Prater [65]).…”

mentioning

confidence: 99%

See 1 more Smart Citation

A stochastic programming approach for Shelter location and evacuation planning

Bayram

Yaman

2018

RAIRO-Oper. Res.

Self Cite

View full text Add to dashboard Cite

Shelter location and traffic allocation decisions are critical for an efficient evacuation plan. In this study, we propose a scenario-based two-stage stochastic evacuation planning model that optimally locates shelter sites and that assigns evacuees to nearest shelters and to shortest paths within a tolerance degree to minimize the expected total evacuation time. Our model considers the uncertainty in the evacuation demand and the disruption in the road network and shelter sites. We present a case study for a potential earthquake in Istanbul. We compare the performance of the stochastic programming solutions to solutions based on single scenarios and mean values.

show abstract

“…For a more detailed review of deterministic evacuation planning studies, we refer the reader to Bayram et al [8] and Bayram [7].…”

Section: Deterministic Evacuation Planning Modelsmentioning

confidence: 99%

mentioning

confidence: 99%

A stochastic programming approach for Shelter location and evacuation planning

Bayram

Yaman

2018

RAIRO-Oper. Res.

Self Cite

View full text Add to dashboard Cite

show abstract

“…To evacuate these areas in an optimized fashion, a staged evacuation strategy could be beneficial. Bayram (2016) has provided a comparative overview of a recent evacuation using transportation modeling. The author discussed available research on macroscopic approaches in static/dynamic, deterministic/stochastic/robust evacuation modeling that consider different evacuee behavior assumptions, traffic assignment, shelter assignment methodologies and supply and demand management strategies.…”

Section: Staging and Routing Literaturementioning

confidence: 99%

“…x (6,5) x x (7,18) x (12,11) x x (13,24) x (16,17) x (16,10) x x (17,19) x (18,16) x (20,19) x (20,22) x x x (2,1)…”

Section: Contraflow Schemes For Cost: -1mentioning

confidence: 99%

Evacuation Trees with Contraflow and Divergence Considerations

Achrekar

Vogiatzis

2018

Dynamics of Disasters

View full text Add to dashboard Cite

In this thesis, we investigate how to evacuate people using the available road transportation network efficiently. To successfully do that, we need to design evacuation model that is fast, safe, and seamless. We enable the first two criteria by developing a macroscopic, time-dynamic evacuation model that aims to maximize the number of people in relatively safer areas of the network at each time point; the third criterion is optimized by constructing an evacuation tree, where the vehicles are evacuated using a single path to safety. Divergence and contraflow policies have been incorporated to enhance the network capacity. Divergence enables specific nodes to diverge their flows into two or more streets, while contraflow allows certain streets to reverse their flow, effectively increasing their capacity. We investigate the performance of these policies in the evacuation networks obtained, and present results on two benchmark networks of Sioux Falls and Chicago.iii ACKNOWLEDGEMENTS I would first like to express my sincere gratitude towards my advisor, Dr. Chrysafis Vogiatzis, from the bottom of my heart as he always stood by my side to help me out in my difficulties. Because of his insightful advice and guidance, this research has taken shape. While working with him, I have learned many things about optimization, mathematical modeling, how to do research, and how to code. His knowledge and passion towards his research field has always been a source of motivation for me.Secondly, I would like to thank my committee members Dr. Yiwen Xu (IME department), Dr. Simone Ludwig (CS department) and Dr. Chrysafis Vogiatzis (IME department) for their insights on the research, constructive criticisms, and for pointing out to corrections in the thesis draft.

show abstract

“…Abdelgawad and Abdulhai [1] discuss the limitations, gaps, and challenges that hinder the development of an integrated optimal evacuation planning model. More recently, Bayram [9] provides a comprehensive review on modeling and solution approaches of network-based large-scale emergency evacuation planning studies, pointing out the importance of considering realistic factors, like human behavior, shelter location, uncertain and dynamic environments, and interactions between supply and evacuation, in future research.…”

Section: Grass and Fischermentioning

confidence: 99%

Emergency logistics considering traffic congestion

Wang¹

View full text Add to dashboard Cite

help on my research. I especially want to thank Dr. Nie for his not only guiding me to find an interesting research field but also teaching me lifelong lessons on rigorous research method and attitude. Thank Dr. Qu for offering me the precious opportunity to pursue a Ph.D. degree at Nanyang Technological University. Thank all of my thesis advisory committee members and my thesis examiners for their great support and input. I would like to thank my dearest parents for their constant love, support, understanding, and encouragement to me. I owe everything to my parents, and I hope they know how much I love them. Also, I feel very thankful to my wife for her patient waiting for me and her great support to my study. I love her forever. I also want to thank all of my friends for their friendship and for keeping company with me to go through all the difficulties.

show abstract

Optimization models for large scale network evacuation planning and management: A literature review

Cited by 99 publications

References 181 publications

A stochastic programming approach for Shelter location and evacuation planning

A stochastic programming approach for Shelter location and evacuation planning

Evacuation Trees with Contraflow and Divergence Considerations

Emergency logistics considering traffic congestion

Contact Info

Product

Resources

About