000			04378ntm a2200325 i 4500
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008			260727t20262026my a|||fr|||| 000 0 eng d
020			_aTHE0009493 (Local) _qHardback
040			_aUMPSA _beng _cUMPSA _erda
090			_aFTKA .S93 2026 r Thesis
100	0		_aMohammad Syamsyul Hairi Saad, _eauthor.
245	1	0	_aDeveloping flood risk management framework for development project : _cMohammad Syamsyul Hairi Saad _bpre-construction and construction phase /
264		1	_aKuantan, Pahang : _bUMPSA, _c2026
264		4	_c© 2026
300			_axvi, 304 pages : _billustrations (some color) ; _c30 cm. + _e1 CD-ROM.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
347			_2rda _atext file _bPDF
500			_aFaculty of Civil Engineering Technology
502			_aThesis (Doctor of Philosophy in Civil Engineering) -- Universiti Malaysia Pahang Al Sultan Abdullah - 2026
504			_aIncludes bibliographical references
520	3		_aFlooding remains one of Malaysia’s most recurrent and destructive natural disasters, frequently disrupting development activities and threatening infrastructure resilience, particularly during the pre-construction and construction phases of development projects. Despite various national policies and guidelines, such as the Manual Saliran Mesra Alam (MSMA) and the Sendai Framework for Disaster Risk Reduction, current flood risk management (FRM) practices remain reactive, fragmented, and inadequately integrated into project planning and execution. The lack of a contextual and phase-specific FRM framework heightens the vulnerability of development sites to flash floods, especially in rapidly urbanizing regions. A critical gap exists in systematically identifying and prioritizing flood risk factors specific to different phases of development. Prior research has largely overlooked the multidimensional interactions among site characteristics, engineering practices, and regulatory constraints during the early stages of project development. Moreover, the application of multi-criteria decision-making tools, such as the Fuzzy Analytical Hierarchy Process (FAHP), is limited in its ability to incorporate expert judgment and address the inherent uncertainty in flood risk evaluations. This research aims to develop a Flood Risk Management Framework for development projects, focusing on the pre-construction and construction phases, with the objective of integrating flood vulnerability assessment into planning and mitigation strategies. The study employed a mixed-methods approach, beginning with a literature review and content analysis, followed by semi-structured expert interviews, and finally applying FAHP to prioritize flood risk factors and sub-factors. The resulting Flood Vulnerability Risk Index (FVRI) was constructed based on expert consensus and validated through triangulation. Findings revealed that flood vulnerability varies significantly across project phases. Key prioritized sub-factors included Best Management Practices (BMPs), construction practices, scheduling, and stormwater management. The FVRI serves as a quantitative tool to assess site-specific flood risks and provides a practical mechanism for embedding FRM considerations into regulatory approvals and design decisions. This study contributes a novel, empirically validated framework that aligns with Malaysia’s disaster risk reduction goals. It bridges the gap between policy and practice by providing a structured methodology for prioritizing and operationalizing flood risk factors. The research advances knowledge in both flood risk science and construction project management, offering new insights into how development projects can become more resilient through proactive planning. Future research may explore integrating GIS-based spatial data, machine learning models, and climate projections into the FVRI for real-time applications. The findings and framework have practical relevance for policymakers, engineers, urban planners, and developers, ultimately promoting sustainable, disaster-resilient development across Malaysia.
610	2	0	_aFaculty of Civil Engineering Technology _xDissertations
650		0	_aUniversities and colleges _xDissertations
942			_2lcc _cTHESIS
999			_c105315 _d105321