Highway Proneness Appraisal to Landslides along Taiping to Ipoh Segment Malaysia, Using MCDM and GIS Techniques

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.

Spatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous Governorate, Syria

“…This result is consistent with observations of fieldwork that emphasized the influence of lithological structure and human activity as actual driving factors. Similar results were reported by Tesfa (2022), Senouci et al (2021) and Yamusa et al (2022).…”

“…For instance, the road network is built on steep slopes with large loads on slope aspects. These spatial interpretations are consistent with Jamir et al (2022), Das et al (2022) and Yamusa et al (2022).…”

“…Landslides are among the greatest significant issues that governments strive to reduce their destructive impacts on lives, properties and infrastructure, especially in mountainous areas (Dikshit et al 2020;Nakileza and Nedala 2020;Batar and Watanabe 2021;Rahman et al 2022). Many studies confirmed that increasing the landslide events are motivated by the spatial integration between physical and anthropological factors (Razavizadeh et al 2017;Akinci and Yavuz Ozalp 2021;Yamusa et al 2022;Jaafari et al 2022). The first fundamental step related to efficient spatial management of landslide risk is the preparation of landslide susceptibility mapping (Das et al 2022;Guo et al 2021;Skrzypczak et al 2021).…”

Appraisal of Flood Susceptibility of Hooghly basin, India using Shannon Entropy (SE) and Fuzzy Analytical Hierarchy Process (FAHP)

“…In the present study, we assigned the relative significance to flood conditioning factors through a triangular fuzzy number of linguistic scales (Afolayan et al 2020). The calculation of fuzzy weights of each factor was calculated using geometric mean method (Buckley 1985;Zou et al 2012;Tella and Balogun 2020;Yamusa et al 2022). The FAHP was employed in five stages discussed below:…”