Highway Proneness Appraisal to Landslides along Taiping to Ipoh Segment Malaysia, Using MCDM and GIS Techniques
Idris Bello Yamusa,
Mohd Suhaili Ismail and
Abdulwaheed Tella
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Idris Bello Yamusa: Geosciences Department, Universiti Teknologi PETRONAS (UTP), Persiaran UTP, Seri Iskandar 32610, Perak, Malaysia
Mohd Suhaili Ismail: Geosciences Department, Universiti Teknologi PETRONAS (UTP), Persiaran UTP, Seri Iskandar 32610, Perak, Malaysia
Abdulwaheed Tella: Geospatial Analysis and Modelling Research Laboratory, Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS (UTP), Persiaran UTP, Seri Iskandar 32610, Perak, Malaysia
Sustainability, 2022, vol. 14, issue 15, 1-21
Abstract:
Landslides are geological hazards that claim lives and affect socio-economic growth. Despite increased slope failure, some constructions, such as road constructions, are still being performed without proper investigation of the susceptibility of slope mass movement. This study researches the susceptibility of landslides in a study area encompassing a major highway that extends from Taiping to Ipoh, Malaysia. After a comprehensive literature review, 10 landslide conditioning factors were considered for this study. As novel research in this study area, multi-criteria decision-making (MCDM) models such as AHP and fuzzy AHP were used to rank the conditioning factors before generating the final landslide susceptibility mapping using Geographical Information System (GIS) software. The landslide susceptibility map has five classes ranging from very low (9.20%) and (32.97%), low (18.09%) and (25.60%), moderate (24.46%) and (21.36%), high (27.57%) and (13.26%), to very high (20.68%) and (6.81%) susceptibility for the FAHP and AHP models, respectively. It was recorded that the area is mainly covered with moderate to very high landslide risk, which requires proper intervention, especially for subsequent construction or renovation processes. The highway was overlayed on the susceptibility map, which concludes that the highway was constructed on a terrain susceptible to slope instability. Therefore, decision-makers should consider further investigation and landslide susceptibility mapping before construction.
Keywords: landslide; GIS; MCDM; fuzzy AHP; geological hazard; susceptibility mapping (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:15:p:9096-:d:870981
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