Ali Nejat
Biographic Data
| ID | 1406043 |
|---|---|
| NAME | Ali Nejat |
| GIVEN NAMES | Ali |
| FAMILY NAME | Nejat |
| SIGNATURE | NEJAT A |
| AFFILIATIONS | Texas Tech University |
| ORCID | 0000-0002-7169-3380 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 8 |
| WORKS AS AUTHOR | 12 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Modeling NFIP-insured housing losses from Texas and Florida flood disasters
Reliable flood loss models can support rapid mitigation and recovery decisions, but their value depends on whether relationships learned from one disaster are useful in another. We evaluate tract-level National Flood Insurance Program (NFIP)-insured housing losses across 6065 census tracts affected by the 2016 Tax Day Flood, Hurricane Harvey, and Hurricane Irma. Mean normalized loss ratio (Mean_NLR) and the probability of observed NFIP-insured lo…
From allocation to action
The Community Development Block Grant-Disaster Recovery (CDBG-DR) program is the primary federal mechanism for financing long-term housing recovery after major U.S. disasters, yet expenditures often lag years behind disaster events. This study examines how administrative processes influence CDBG-DR implementation following the 2017 disasters in Texas, Florida, and California. Using a comparative case study design, the analysis draws on state Acti…
Disasters outside of municipal boundaries
Integrating Emerging Design‐Build Technologies for Resilient Housing in the Navajo Nation
The Navajo Nation faces critical challenges in developing housing that is resilient to climate change while honoring cultural heritage. Socio‐economic disparities, limited infrastructure, and extreme environmental conditions demand innovative solutions that integrate sustainable practices with traditional Navajo values. This study critically examines the potential of smart design‐build technologies to create resilient, culturally appropriate hous…
Equitable community resilience
Random Parameter Model of Postdisaster Household Relocation
Household recovery and relocation after a disaster is an exigent and complex decision. This complexity is mainly due to the variety of factors that can influence such a decision. Therefore, it is the goal of this study to develop random parameter models incorporating the unobserved heterogeneity that can result in predicting these recovery decisions and their societal economic impact. To develop these models, samples comprising 192 blocks (5,338 …
Drivers of post-disaster relocations
Social media data and housing recovery following extreme natural hazards
Perceived neighborhood
RecovUS
The housing sector is an important part of every community. It directly a ects people, constitutes a major share of the building market, and shapes the community. Meanwhile, the increase of developments in hazard-prone areas along with the intensification of extreme events has amplified the potential for disasterinduced losses. Consequently, housing recovery is of vital importance to the overall restoration of a community. In this relation, recov…
Place attachment in disaster studies
Individual relocation decisions after tornadoes
This study examines how multi-level factors affected individuals' relocation decisions after EF4 and EF5 (Enhanced Fujita Tornado Intensity Scale) tornadoes struck the United States in 2013. A telephone survey was conducted with 536 respondents, including oversampled older adults, one year after these two disaster events. Respondents' addresses were used to associate individual information with block group-level variables recorded by the American…
Place attachment in disaster studies
Individual relocation decisions after tornadoes
This study examines how multi-level factors affected individuals' relocation decisions after EF4 and EF5 (Enhanced Fujita Tornado Intensity Scale) tornadoes struck the United States in 2013. A telephone survey was conducted with 536 respondents, including oversampled older adults, one year after these two disaster events. Respondents' addresses were used to associate individual information with block group-level variables recorded by the American…
Individual relocation decisions after tornadoes
This study examines how multi-level factors affected individuals' relocation decisions after EF4 and EF5 (Enhanced Fujita Tornado Intensity Scale) tornadoes struck the United States in 2013. A telephone survey was conducted with 536 respondents, including oversampled older adults, one year after these two disaster events. Respondents' addresses were used to associate individual information with block group-level variables recorded by the American…
Drivers of post-disaster relocations
Social media data and housing recovery following extreme natural hazards
Perceived neighborhood
RecovUS
The housing sector is an important part of every community. It directly a ects people, constitutes a major share of the building market, and shapes the community. Meanwhile, the increase of developments in hazard-prone areas along with the intensification of extreme events has amplified the potential for disasterinduced losses. Consequently, housing recovery is of vital importance to the overall restoration of a community. In this relation, recov…
Place attachment in disaster studies
Random Parameter Model of Postdisaster Household Relocation
Household recovery and relocation after a disaster is an exigent and complex decision. This complexity is mainly due to the variety of factors that can influence such a decision. Therefore, it is the goal of this study to develop random parameter models incorporating the unobserved heterogeneity that can result in predicting these recovery decisions and their societal economic impact. To develop these models, samples comprising 192 blocks (5,338 …
Equitable community resilience
Disasters outside of municipal boundaries
Integrating Emerging Design‐Build Technologies for Resilient Housing in the Navajo Nation
The Navajo Nation faces critical challenges in developing housing that is resilient to climate change while honoring cultural heritage. Socio‐economic disparities, limited infrastructure, and extreme environmental conditions demand innovative solutions that integrate sustainable practices with traditional Navajo values. This study critically examines the potential of smart design‐build technologies to create resilient, culturally appropriate hous…
Modeling NFIP-insured housing losses from Texas and Florida flood disasters
Reliable flood loss models can support rapid mitigation and recovery decisions, but their value depends on whether relationships learned from one disaster are useful in another. We evaluate tract-level National Flood Insurance Program (NFIP)-insured housing losses across 6065 census tracts affected by the 2016 Tax Day Flood, Hurricane Harvey, and Hurricane Irma. Mean normalized loss ratio (Mean_NLR) and the probability of observed NFIP-insured lo…
From allocation to action
The Community Development Block Grant-Disaster Recovery (CDBG-DR) program is the primary federal mechanism for financing long-term housing recovery after major U.S. disasters, yet expenditures often lag years behind disaster events. This study examines how administrative processes influence CDBG-DR implementation following the 2017 disasters in Texas, Florida, and California. Using a comparative case study design, the analysis draws on state Acti…
Disaster Management and Resilience (10 works) · Computer Science (9 works) · Geography (7 works) · Flood Risk Assessment and Management (5 works) · Business (4 works) · Engineering (4 works) · Political science (4 works) · Psychology (4 works) · Economics (3 works) · Relocation (3 works)