Staff View: Impact analysis on disaster data for disaster risk reduction from multiple stakeholders perspective

Impact analysis on disaster data for disaster risk reduction from multiple stakeholders perspective

Currently, the process in Disaster Risk Reduction (DRR) relies heavily on geospatial information defined as information contained in topographic maps, thematic maps, plans, charts and satellite images. The preparation and use of geospatial information involve parties such as custodians, data provide...

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Main Authors:	Zayid, Syamil, Abu Bakar, Nur Azaliah, Valachamy, Mageshwari, Abdul Malek, Nur Shuhada, Mahrin, Mohd. Naz'ri, Razak, Khamarrul Azahari
Format:	Conference or Workshop Item
Published:	2020
Subjects:	T58.5-58.64 Information technology
Online Access:	http://eprints.utm.my/id/eprint/93306/ http://dx.doi.org/10.1109/ICoICT49345.2020.9166308
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id	my.utm.93306
record_format	eprints
spelling	my.utm.933062021-11-19T03:30:07Z http://eprints.utm.my/id/eprint/93306/ Impact analysis on disaster data for disaster risk reduction from multiple stakeholders perspective Zayid, Syamil Abu Bakar, Nur Azaliah Valachamy, Mageshwari Abdul Malek, Nur Shuhada Mahrin, Mohd. Naz'ri Razak, Khamarrul Azahari T58.5-58.64 Information technology Currently, the process in Disaster Risk Reduction (DRR) relies heavily on geospatial information defined as information contained in topographic maps, thematic maps, plans, charts and satellite images. The preparation and use of geospatial information involve parties such as custodians, data providers, users and vendors. However, nonspatial data also crucial in DRR. Due to different data formats, sizes and type of both spatial and nonspatial data, data processing becomes more complex and time-consuming. Furthermore, some supplied data are lack of specific reasoning behind it. As a result, a volume of spatial and nonspatial data keep piling up daily without any beneficial utilisation. Therefore, this paper aims to investigate the impact of disaster-related data of both spatial and nonspatial that contribute to DRR from multiple stakeholders' perspective. The research is conducted through a focus group discussion (FGD) interview with a total of 54 agencies that involve in DRR in Selangor State, Malaysia. Based on the findings, vulnerability data is the most impactful data for DRR, followed by base data, hazard data, exposure data and risk impact assessment data. The findings from this study will provide the DRR data priority list from various agencies perspective, which can help to anticipated is asters or at least reduce the risk of disaster. This could also assist the relevant agencies to prepare for DRR management more proactively. 2020-06 Conference or Workshop Item PeerReviewed Zayid, Syamil and Abu Bakar, Nur Azaliah and Valachamy, Mageshwari and Abdul Malek, Nur Shuhada and Mahrin, Mohd. Naz'ri and Razak, Khamarrul Azahari (2020) Impact analysis on disaster data for disaster risk reduction from multiple stakeholders perspective. In: 8th International Conference on Information and Communication Technology, ICoICT 2020, 24 June 2020 - 26 June 2020, Yogyakarta, Indonesia. http://dx.doi.org/10.1109/ICoICT49345.2020.9166308
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	T58.5-58.64 Information technology
spellingShingle	T58.5-58.64 Information technology Zayid, Syamil Abu Bakar, Nur Azaliah Valachamy, Mageshwari Abdul Malek, Nur Shuhada Mahrin, Mohd. Naz'ri Razak, Khamarrul Azahari Impact analysis on disaster data for disaster risk reduction from multiple stakeholders perspective
description	Currently, the process in Disaster Risk Reduction (DRR) relies heavily on geospatial information defined as information contained in topographic maps, thematic maps, plans, charts and satellite images. The preparation and use of geospatial information involve parties such as custodians, data providers, users and vendors. However, nonspatial data also crucial in DRR. Due to different data formats, sizes and type of both spatial and nonspatial data, data processing becomes more complex and time-consuming. Furthermore, some supplied data are lack of specific reasoning behind it. As a result, a volume of spatial and nonspatial data keep piling up daily without any beneficial utilisation. Therefore, this paper aims to investigate the impact of disaster-related data of both spatial and nonspatial that contribute to DRR from multiple stakeholders' perspective. The research is conducted through a focus group discussion (FGD) interview with a total of 54 agencies that involve in DRR in Selangor State, Malaysia. Based on the findings, vulnerability data is the most impactful data for DRR, followed by base data, hazard data, exposure data and risk impact assessment data. The findings from this study will provide the DRR data priority list from various agencies perspective, which can help to anticipated is asters or at least reduce the risk of disaster. This could also assist the relevant agencies to prepare for DRR management more proactively.
format	Conference or Workshop Item
author	Zayid, Syamil Abu Bakar, Nur Azaliah Valachamy, Mageshwari Abdul Malek, Nur Shuhada Mahrin, Mohd. Naz'ri Razak, Khamarrul Azahari
author_facet	Zayid, Syamil Abu Bakar, Nur Azaliah Valachamy, Mageshwari Abdul Malek, Nur Shuhada Mahrin, Mohd. Naz'ri Razak, Khamarrul Azahari
author_sort	Zayid, Syamil
title	Impact analysis on disaster data for disaster risk reduction from multiple stakeholders perspective
title_short	Impact analysis on disaster data for disaster risk reduction from multiple stakeholders perspective
title_full	Impact analysis on disaster data for disaster risk reduction from multiple stakeholders perspective
title_fullStr	Impact analysis on disaster data for disaster risk reduction from multiple stakeholders perspective
title_full_unstemmed	Impact analysis on disaster data for disaster risk reduction from multiple stakeholders perspective
title_sort	impact analysis on disaster data for disaster risk reduction from multiple stakeholders perspective
publishDate	2020
url	http://eprints.utm.my/id/eprint/93306/ http://dx.doi.org/10.1109/ICoICT49345.2020.9166308
_version_	1717093450333028352
score	13.211869

Impact analysis on disaster data for disaster risk reduction from multiple stakeholders perspective

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