Staff View: Unveiling and modelling the flood risk and multidimensional poverty determinants using geospatial multi-criteria approach: Evidence from Jigawa, Nigeria

Unveiling and modelling the flood risk and multidimensional poverty determinants using geospatial multi-criteria approach: Evidence from Jigawa, Nigeria

Floods are recurring natural disasters that pose major challenges to communities worldwide, especially in regions where poverty is widespread. This research focuses on analysing the relationship between flood risk and poverty factors in Jigawa. It uses geospatial data, historical flood records and r...

Full description

Saved in:

Bibliographic Details
Main Authors:	Gambo, Jibrin, Roslan, Siti Nur Aliaa, Zulhaidi Mohd Shafri, Helmi, Che Ya, Nik Norasma, Ahmed Yusuf, Yusuf, Ang, Yuhao
Format:	Article
Published:	Elsevier 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/112795/ https://www.sciencedirect.com/science/article/abs/pii/S2212420924001626?via%3Dihub
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.upm.eprints.112795
record_format	eprints
spelling	my.upm.eprints.1127952024-11-11T08:27:39Z http://psasir.upm.edu.my/id/eprint/112795/ Unveiling and modelling the flood risk and multidimensional poverty determinants using geospatial multi-criteria approach: Evidence from Jigawa, Nigeria Gambo, Jibrin Roslan, Siti Nur Aliaa Zulhaidi Mohd Shafri, Helmi Che Ya, Nik Norasma Ahmed Yusuf, Yusuf Ang, Yuhao Floods are recurring natural disasters that pose major challenges to communities worldwide, especially in regions where poverty is widespread. This research focuses on analysing the relationship between flood risk and poverty factors in Jigawa. It uses geospatial data, historical flood records and remote sensing to locate flood-prone areas. The integration of these data sets creates a comprehensive model for measuring flood-prone zones and their impact on multidimensional poverty. The flood risk zone included 3% and 13% as extremely high and high. In addition, 40% of the population is particularly vulnerable to flood disasters, leading to multidimensional poverty in the region. At the same time, poverty determinants such as agricultural activities, income level, education, access to health care, housing conditions, and road networks were analysed using statistical methods of principal component analysis (PCA). Findings from this research will go a long way toward understanding the complex interactions between natural disasters (flood) and poverty and will shed light on the mechanisms that perpetuate vulnerability in impoverished regions. By identifying the specific determinants of poverty that exacerbate the impact of flooding, this study provides evidence-based insights into possible avenues for targeted interventions and risk-reduction strategies. In addition, this study underscores the importance of using geospatial technology for disaster risk management and poverty alleviation. These findings will help policymakers and local authorities implement more efficient and adaptive disaster preparedness and response policies, thereby building the resilience of communities facing the intersecting challenges of poverty and flood risk. Elsevier 2024 Article PeerReviewed Gambo, Jibrin and Roslan, Siti Nur Aliaa and Zulhaidi Mohd Shafri, Helmi and Che Ya, Nik Norasma and Ahmed Yusuf, Yusuf and Ang, Yuhao (2024) Unveiling and modelling the flood risk and multidimensional poverty determinants using geospatial multi-criteria approach: Evidence from Jigawa, Nigeria. International Journal of Disaster Risk Reduction, 106. art. no. 104400. pp. 1-29. ISSN 2212-4209 https://www.sciencedirect.com/science/article/abs/pii/S2212420924001626?via%3Dihub 10.1016/j.ijdrr.2024.104400
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
description	Floods are recurring natural disasters that pose major challenges to communities worldwide, especially in regions where poverty is widespread. This research focuses on analysing the relationship between flood risk and poverty factors in Jigawa. It uses geospatial data, historical flood records and remote sensing to locate flood-prone areas. The integration of these data sets creates a comprehensive model for measuring flood-prone zones and their impact on multidimensional poverty. The flood risk zone included 3% and 13% as extremely high and high. In addition, 40% of the population is particularly vulnerable to flood disasters, leading to multidimensional poverty in the region. At the same time, poverty determinants such as agricultural activities, income level, education, access to health care, housing conditions, and road networks were analysed using statistical methods of principal component analysis (PCA). Findings from this research will go a long way toward understanding the complex interactions between natural disasters (flood) and poverty and will shed light on the mechanisms that perpetuate vulnerability in impoverished regions. By identifying the specific determinants of poverty that exacerbate the impact of flooding, this study provides evidence-based insights into possible avenues for targeted interventions and risk-reduction strategies. In addition, this study underscores the importance of using geospatial technology for disaster risk management and poverty alleviation. These findings will help policymakers and local authorities implement more efficient and adaptive disaster preparedness and response policies, thereby building the resilience of communities facing the intersecting challenges of poverty and flood risk.
format	Article
author	Gambo, Jibrin Roslan, Siti Nur Aliaa Zulhaidi Mohd Shafri, Helmi Che Ya, Nik Norasma Ahmed Yusuf, Yusuf Ang, Yuhao
spellingShingle	Gambo, Jibrin Roslan, Siti Nur Aliaa Zulhaidi Mohd Shafri, Helmi Che Ya, Nik Norasma Ahmed Yusuf, Yusuf Ang, Yuhao Unveiling and modelling the flood risk and multidimensional poverty determinants using geospatial multi-criteria approach: Evidence from Jigawa, Nigeria
author_facet	Gambo, Jibrin Roslan, Siti Nur Aliaa Zulhaidi Mohd Shafri, Helmi Che Ya, Nik Norasma Ahmed Yusuf, Yusuf Ang, Yuhao
author_sort	Gambo, Jibrin
title	Unveiling and modelling the flood risk and multidimensional poverty determinants using geospatial multi-criteria approach: Evidence from Jigawa, Nigeria
title_short	Unveiling and modelling the flood risk and multidimensional poverty determinants using geospatial multi-criteria approach: Evidence from Jigawa, Nigeria
title_full	Unveiling and modelling the flood risk and multidimensional poverty determinants using geospatial multi-criteria approach: Evidence from Jigawa, Nigeria
title_fullStr	Unveiling and modelling the flood risk and multidimensional poverty determinants using geospatial multi-criteria approach: Evidence from Jigawa, Nigeria
title_full_unstemmed	Unveiling and modelling the flood risk and multidimensional poverty determinants using geospatial multi-criteria approach: Evidence from Jigawa, Nigeria
title_sort	unveiling and modelling the flood risk and multidimensional poverty determinants using geospatial multi-criteria approach: evidence from jigawa, nigeria
publisher	Elsevier
publishDate	2024
url	http://psasir.upm.edu.my/id/eprint/112795/ https://www.sciencedirect.com/science/article/abs/pii/S2212420924001626?via%3Dihub
_version_	1816132718595932160
score	13.223943

Unveiling and modelling the flood risk and multidimensional poverty determinants using geospatial multi-criteria approach: Evidence from Jigawa, Nigeria

Similar Items