Creating a Performance Indicator for Temporary Housing

2020 ◽  
Author(s):  
Mahdi Afkhamiaghda ◽  
Emad Elwakil ◽  
Kereshmeh Afsari
Keyword(s):  
Assessment Tool ◽  
Performance Indicator ◽  
Construction Process ◽  
Temporary Housing ◽  
Numerical Scale ◽  
House Construction ◽  
Housing Option ◽  
Post Disaster ◽  
A Performance

Most research works have focused predominantly on categorizing temporary houses and have neglected to create an assessment tool for selecting the most optimal temporary housing option based on their performances. This research aims to: (1) investigate the relevant vital indicators affecting the post-disaster temporary house construction process; (2) create a performance indicator (PI) table to help in creating more sustainable and resilient temporary houses; (3) examine each of the existing temporary houses based on the factors derived from the PI table; and (4) create a numerical scale from the evaluation table in order to compare options and measure their performance. This research would act as a guide for stakeholders to find the most appropriate option for the region based on the unique characteristics of the event and the available equipment and facilities

Five-year Psychosocial Impact of Living in Post-Disaster Prefabricated Temporary Housing

2021 ◽  
pp. 1-31
Author(s):  
Tetsuya Akaishi ◽  
Tomomi Suzuki ◽  
Harumi Nemoto ◽  
Yusuke Utsumi ◽  
Moe Seto ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Interaction ◽  
The Other ◽  
Temporary Housing ◽  
Psychiatric Status ◽  
History Of ◽  
Psychosocial Conditions ◽  
Long Term Impact ◽  
Post Disaster

Abstract Objective: This study aims to evaluate the long-term impact of living in post-disaster prefabricated temporary housing on social interaction activities and mental health status. Methods: A total of 917 adult residents in a coastal town, whose residences were destroyed by the tsunami caused by the Great East Japan Earthquake (GEJE), were enrolled for the assessment held five years after the disaster. They answered questions about their experience and consequence of living in prefabricated temporary housing after the disaster. Their present scores on five types of self-reported measures regarding the psychosocial or psychiatric status and their present and recalled social interaction activities were cross-sectionally collected. Results: A total of 587 (64.0%) participants had a history of living in prefabricated temporary housing, while the other 330 (36.0%) had not. The prevalence of social interaction activities significantly decreased after the GEJE. However, the experience of living in prefabricated temporary housing did not adversely affect the subsequent social interaction activities or mental conditions of the participants five years after the disaster. Conclusions: Living in post-disaster prefabricated temporary housing may not negatively impact subsequent psychosocial conditions or social interaction activities five years later.

A Decision Methodology for Determining Suitable Post-Disaster Accommodations: Reconsidering Effective Indicators for Decision-making Processes

2020 ◽  
Vol 17 (3) ◽  
Author(s):  
S. M. Amin Hosseini ◽  
Albert de la Fuente ◽  
Oriol Pons ◽  
Carmen Mendoza Arroyo
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Natural Hazard ◽  
Recovery Process ◽  
Decision Making Process ◽  
Temporary Housing ◽  
Universal Approach ◽  
Decision Making Processes ◽  
Main Factors ◽  
Post Disaster

AbstractOne of the main challenges in assisting displaced persons who have lost their homes as a result of a natural hazard is the provision of adequate post-disaster accommodations, such as temporary housing. Although the need for temporary housing has increased around the world in recent years, it has been criticized on economic, environmental, and social grounds. A universal approach to post-disaster accommodations cannot successfully deal with this issue because each recovery process involves a unique set of conditions. Therefore, rather than defining a specific strategy, this study aims to present an approach capable of producing customized strategies based on contextual and social conditions. To this end, first, the main factors influencing the choice of post-disaster accommodations are identified through five case studies. It is concluded that all of the factors can be organized into three main vertices to simplify the highly complex issues involved in post-disaster accommodations. The case studies also show that the decision-making process consists of two main parts. To date, a recurring failure to distinguish between these two parts has led to unsuitable outcomes. Thus, this paper presents a new decision-making methodology, consisting of multiple steps, phases, and indicators based on the main vertices.

scholarly journals A Formaldehyde Exposure Assessment Tool for Occupants of FEMA Temporary Housing Units

2010 ◽  
Author(s):  
Srinandini Parthasarathy ◽  
Michael Spears ◽  
Randy L. Maddalena ◽  
Marion L Russell ◽  
Michael G. Apte
Keyword(s):  
Exposure Assessment ◽  
Assessment Tool ◽  
Temporary Housing ◽  
Formaldehyde Exposure ◽  
Housing Units

Life-time performance of post-disaster temporary housing: A case study in Nanjing

2016 ◽  
Vol 128 ◽  
pp. 394-404 ◽  
Author(s):  
Yiming Song ◽  
Nalanie Mithraratne ◽  
Hong Zhang
Keyword(s):  
Life Time ◽  
Temporary Housing ◽  
Time Performance ◽  
Post Disaster

Building a performance indicator to investigate the robustness of water supply utilities in Japan

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Yusuke Maeno ◽  
Tatsuo Oyama ◽  
M.L.U.K. Piyasena ◽  
Yuji Kawase
Keyword(s):  
Water Supply ◽  
Performance Indicator ◽  
A Performance

scholarly journals Bearing assessment tool for longitudinal bridge performance

2020 ◽  
Vol 10 (5) ◽  
pp. 1023-1036
Author(s):  
David Garcia-Sanchez ◽  
Ana Fernandez-Navamuel ◽  
Diego Zamora Sánchez ◽  
Daniel Alvear ◽  
David Pardo
Keyword(s):  
Unsupervised Learning ◽  
Prestressed Concrete ◽  
Assessment Tool ◽  
Performance Indicator ◽  
Principal Component ◽  
Horizontal Displacement ◽  
Bridge Management ◽  
Strong Correlations ◽  
Bridge Performance ◽  
Critical Components

Abstract This work provides an unsupervised learning approach based on a single-valued performance indicator to monitor the global behavior of critical components in a viaduct, such as bearings. We propose an outlier detection method for longitudinal displacements to assess the behavior of a singular asymmetric prestressed concrete structure with a 120 m high central pier acting as a fixed point. We first show that the available long-term horizontal displacement measurements recorded during the undamaged state exhibit strong correlations at the different locations of the bearings. Thus, we combine measurements from four sensors to design a robust performance indicator that is only weakly affected by temperature variations after the application of principal component analysis. We validate the method and show its efficiency against false positives and negatives using several metrics: accuracy, precision, recall, and F1 score. Due to its unsupervised learning scope, the proposed technique is intended to serve as a real-time supervision tool that complements maintenance inspections. It aims to provide support for the prioritization and postponement of maintenance actions in bridge management.

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