scholarly journals Network Modeling of Hurricane Evacuation Using Data-Driven Demand and Incident-Induced Capacity Loss Models

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yuan Zhu ◽  
Kaan Ozbay ◽  
Kun Xie ◽  
Hong Yang ◽  
Ender Faruk Morgul

The development of a hurricane evacuation simulation model is a crucial task in emergency management and planning. Two major issues affect the reliability of an evacuation model: one is estimations of evacuation traffic based on socioeconomic characteristics, and the other is capacity change and its influence on evacuation outcome due to traffic incidents in the context of hurricanes. Both issues can impact the effectiveness of emergency planning in terms of evacuation order issuance, and evacuation route planning. The proposed research aims to investigate the demand and supply modeling in the context of hurricane evacuations. This methodology created three scenarios for the New York City (NYC) metropolitan area, including one base and two evacuation scenarios with different levels of traffic demand and capacity uncertainty. Observed volume data prior to Hurricane Sandy is collected to model the response curve of the model, and the empirical incident data under actual evacuation conditions are analyzed and modeled. Then, the modeled incidents are incorporated into the planning model modified for evacuation. Simulation results are sampled and compared with observed sensor-based travel times as well as O-D-based trip times of NYC taxi data. The results show that the introduction of incident frequency and duration models can significantly improve the performance of the evacuation model. The results of this approach imply the importance of traffic incident consideration for hurricane evacuation simulation.

2020 ◽  
Vol 9 (12) ◽  
pp. 750
Author(s):  
Yukun Guo ◽  
Jun Zhu ◽  
Yu Wang ◽  
Jinchuan Chai ◽  
Weilian Li ◽  
...  

Evacuation simulations in virtual indoor fire scenes hold great significance for public safety. However, existing evacuation simulation methods are inefficient and provide poor visualized when applied to virtual reality (VR) simulations. Additionally, the influences of the interaction of evacuation processes on the choice of multiple exits have not been fully considered. In the paper, we propose a VR simulation method for crowd evacuation in a multiexit indoor fire environment. An indoor 3D scene model and character model, for studying the environmental factors that affect the multiexit selection of personnel during the fire process, are combined with environmental factors to enhance the evacuation route planning algorithm to improve the efficiency of the VR simulation of evacuation in the scene. In addition, a prototype system that supports multiple experience modes is proposed, and case experiment analyses are performed. The results show that the method described in this paper can effectively support the real-time simulation of indoor fire evacuations in virtual scenes, providing both reliable simulation results and good visualization effects.


Data Series ◽  
10.3133/ds888 ◽  
2014 ◽  
Author(s):  
C. Wayne Wright ◽  
Christine J. Kranenburg ◽  
Emily S. Klipp ◽  
Rodolfo J. Troche ◽  
Xan Fredericks ◽  
...  

Eos ◽  
2013 ◽  
Vol 94 (37) ◽  
pp. 323-323
Author(s):  
Ernie Balcerak
Keyword(s):  
New York ◽  

2017 ◽  
Vol 21 (4) ◽  
pp. 139-150 ◽  
Author(s):  
William Solecki ◽  
Robin Leichenko ◽  
David Eisenhauer

AbstractIt is five years since Hurricane Sandy heavily damaged the New York- New Jersey Metropolitan region, and the fuller character of the long-term response can be better understood. The long-term response to Hurricane Sandy and the flooding risks it illustrated are set in myriad of individual and collective decisions taken during the time following the event. While the physical vulnerability of this region to storm surge flooding and climate change risks including sea level rise has been well-documented within the scholarly literature, Sandy’s impact placed decision-makingpost extreme events into the forefront of public and private discussions about the appropriate response. Some of the most fundamental choices were made by individual homeowners who houses were damaged and in some cases made uninhabitable following the storm. These individuals were forced to make decisions regarding where they would live and whether Sandy’s impact would result in their moving. In the disaster recovery and rebuilding context, these early household struggles about whether to leave or stay are often lost in the wider and longer narrative of recovery. To examine this early phase, this paper presents results of a research study that documented the ephemeral evidence of the initial phase of recovery in coastal communities that were heavily impacted by Hurricane Sandy’s storm surge and flooding. Hurricane Sandy and the immediate response to the storm created conditions for a potential large-scale transformation with respect to settlement of the coastal zone. In the paper, we examine and analyze survey and interview results of sixty-one residents and two dozen local stakeholders and practitioners to understand the stresses and transitions experienced by flooded households and the implications for the longer term resiliency of the communities in which they are located.


Author(s):  
A. Ramón ◽  
A. B. Rodríguez-Hidalgo ◽  
J. T. Navarro-Carrión ◽  
B. Zaragozí

2015 ◽  
Vol 3 ◽  
pp. 44-53
Author(s):  
Phanindra Prasad Bhandari ◽  
Shree Ram Khadka

Evacuation planning is becoming crucial due to an increasing number of natural and human-created disasters over last few decades. One of the efficient ways to model the evacuation situation is a network flow optimization model. This model captures most of the necessities of the evacuation planning. Moreover, dynamic network contraflow modeling is considered a potential remedy to decrease the congestion due to its direction reversal property and it addresses the challenges of evacuation route planning. However, there do not exist satisfactory analytical results to this model for general network. In this paper, it is tried to provide an annotated overview on dynamic network contraflow problems related to evacuation planning and to incorporate models and solution strategies to them developed in this field to date.


Data Series ◽  
10.3133/ds905 ◽  
2015 ◽  
Author(s):  
Jeffrey M. Fischer ◽  
Patrick J. Phillips ◽  
Timothy J. Reilly ◽  
Michael J. Focazio ◽  
Keith A. Loftin ◽  
...  

2018 ◽  
Vol 5 (2) ◽  
pp. 157-192
Author(s):  
Cheryl L. Pollak

On the evening of October 29, 2012, “Hurricane” Sandy made land- fall on the New York coastline, battering the land with strong winds, torrential rain, and record-breaking storm surges. Homes and commercial structures were destroyed; roads and tunnels were flooded; and more than 23,000 people sought refuge in temporary shelters, with many others facing weeks without power and electricity. At the time, Sandy was heralded as one of the costliest hurricanes in the his- tory of the United States; the second costliest hurricane only to Katrina, which hit New Orleans in 2005. Unfortunately, recent experience with Hurricanes Florence, Maria, Harvey, and Irma suggest that this pattern of devastating superstorms may become the new norm as climate change produces more extreme and unpredictable weather events. In Sandy’s aftermath, as individuals returned to their homes, or what remained of them, and communities began to rebuild, the true cost of the storm became apparent. A year after the storm, the Federal Emergency Management Agency (“FEMA”) estimated that over $1.4 billion in assistance was provided to 182,000 survivors of the dis- aster; another $3.2 billion was provided to state and local governments for debris removal, infrastructure repair, and emergency protective measures. More than $2.4 billion was provided to individuals and businesses in the form of low-interest loans through the Small Business Administration (“SBA”), and millions more were spent on grants de- signed to implement mitigation measures in the future and to provide unemployment assistance to survivors. Before the storm, homeowners paid premiums for flood insurance provided through the National Flood Insurance Program (“NFIP”), and for homeowner’s insurance provided by dozens of private insurers. In the months following the storm, they began to file claims for assistance in rebuilding their homes. While many such claims were re- solved successfully, many homeowners were unhappy with the settlement amounts offered by their insurance carriers and felt compelled to file lawsuits in the surrounding state and federal courts. Many of those lawsuits were filed in the United States District Court for the Eastern District of New York (“EDNY”). This case study describes the EDNY’s specifically crafted, unique approach to handling the mass litigation that ensued from Sandy’s devastation, documents some of the problems that the Court faced during that mass litigation, and describes some of the lessons learned from the Court’s experience.


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