The Application of Using Supervised Classification Techniques in Selecting the Most Optimized Temporary House Type in Post-disaster Situations

Afkhamiaghda, Mahdi; Elwakil, Emad

doi:10.1109/sustech51236.2021.9467421

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…In this regard, as shown in Table 1, the cultural and social characteristics of the survivors, their needs, habits and customs, lifestyle and privacy of families, religion and human dignity are addressed (Omidvar et al , 2013). However, in the current strategies of providing post-disaster shelter, little attention is paid to social factors and urban design according to the culture and lifestyle of the local people (Afkhamiaghda, 2020). However, the participation of different population groups in the site selection process can increase security.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Temporary housing site selection in Soffeh Mountain, District 5 of Isfahan, Iran

Sabzevari

Mottaki

Hassani

et al. 2022

IJDRBE

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Purpose Finding an appropriate place for temporary housing after an earthquake is one of the main challenges of disaster risk management, especially in developing countries. Therefore, it is necessary to create pre-disaster location plans for the homeless population. This study aims to systematically find safe places and select suitable sites according to influential factors. Design/methodology/approach The research methodology used is a descriptive–analytical method. A field survey with a quantitative–qualitative approach is applied to recognize physical vulnerabilities and select suitable sites for temporary settlements. Due to the occurrence of several earthquakes in recent decades around the city of Isfahan, Iran, this area has been studied. Fuzzy analytic hierarchy process, geographic information system and rapid visual screening have been used for data analysis. Findings According to the site selection and vulnerability criteria and their prioritization, the findings indicate that 60% of the study area is vulnerable. Moreover, vacant lots, stadiums and public green spaces that can be used as multi-purpose sites are the most appropriate options for the temporary settlement. Practical implications The research criteria are generalizable and can be used for decision-making, concerning urban fabric vulnerability and site selection of temporary housing in cities exposed to earthquake risk. Originality/value Cultural features, accessibility, land conditions, the slope and type of land, availability and construction materials were addressed in locating temporary settlements. In addition to vacant lots and open spaces, safe buildings were also identified for temporary housing, and religious minorities and similar communities were considered.

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Section: Theoretical Frameworkmentioning

confidence: 99%

Temporary housing site selection in Soffeh Mountain, District 5 of Isfahan, Iran

Sabzevari

Mottaki

Hassani

et al. 2022

IJDRBE

View full text Add to dashboard Cite

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Advanced Digital Technologies in the Post-Disaster Reconstruction Process—A Review Leveraging Small Language Models

Rawat,

Witt,

Roumyeh

et al. 2024

Buildings

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Post-disaster reconstruction of the built environment represents a key global challenge that looks set to remain for the foreseeable future, but it also offers significant implications for the future sustainability and resilience of the built environment. The purpose of this research is to explore the current applications of advanced digital/Industry 4.0 technologies in the post-disaster reconstruction (PDR) process with a view to improving its effectiveness and efficiency and the sustainability and resilience of the built environment. The extant research literature from the Scopus database on built environment reconstruction is identified and described. In a novel literature review approach, small language models are used for the classification and filtering of technology-related articles. A qualitative content analysis is then carried out to understand the extent to which Industry 4.0 technologies are applied in current reconstruction practice, mapping their applications to specific phases of the PDR process and identifying dominant technologies and key trends in technology deployment. The study reveals a rapidly evolving landscape of technological innovation with transformative potential in enhancing the efficiency, effectiveness, and sustainability of rebuilding efforts, with dominant technologies including GIS, remote sensing, AI, and BIM. Key trends include increasing automation and data-driven decision-making, integration of multiple Industry 4.0/digital technologies, and a growing emphasis on incorporating community needs and local knowledge into reconstruction plans. The study highlights the need for future research to address key challenges, such as developing interoperable platforms, addressing the ethical implications of using AI and big data, and exploring the contribution of Industry 4.0/digital technologies to sustainable reconstruction practices.

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The Application of Using Supervised Classification Techniques in Selecting the Most Optimized Temporary House Type in Post-disaster Situations

Cited by 2 publications

References 15 publications

Temporary housing site selection in Soffeh Mountain, District 5 of Isfahan, Iran

Temporary housing site selection in Soffeh Mountain, District 5 of Isfahan, Iran

Advanced Digital Technologies in the Post-Disaster Reconstruction Process—A Review Leveraging Small Language Models

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