Comparative Analysis of Electric and Conventional Vehicles Performance in the Evacuation Process of Mount Semeru Eruption Victims Based on Geographic Information Systems

Rahmad Inca Liperda, Rahul Prima Putra, Galileo Bill Pairunan, Meilinda Fitriani Nur Maghfiroh and Anak Agung Ngurah Perwira Redi ()
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Rahmad Inca Liperda: Industrial Engineering Department, Faculty of Engineering, Universitas Andalas, Padang 25175, Indonesia
Rahul Prima Putra: Logistics Engineering Department, Faculty of Industrial Technology, Universitas Pertamina, South Jakarta 12220, Indonesia
Galileo Bill Pairunan: Logistics Engineering Department, Faculty of Industrial Technology, Universitas Pertamina, South Jakarta 12220, Indonesia
Meilinda Fitriani Nur Maghfiroh: Faculty of Transport and Logistics, Muscat University, Muscat 130, Oman
Anak Agung Ngurah Perwira Redi: Industrial Engineering Department, Faculty of Engineering and Technology, Sampoerna University, South Jakarta 12780, Indonesia

Sustainability, 2024, vol. 16, issue 20, 1-16

Abstract: The Lumajang Regency is highly vulnerable to various natural disasters, particularly the potential eruption of Mount Semeru. In disaster response efforts, the local government needs to prepare effective and efficient evacuation routes, taking into account the magnitude of the eruption impact in the Semeru disaster-prone area. This research focuses on evacuating vulnerable residents using electric and conventional vehicles. This study is categorized as a vehicle routing problem with energy constraint (VRPEC) because the electric vehicles utilized in this research do not require recharging during their operational process, ensuring rapid evacuation as it is essential. By utilizing Geographic Information Systems (GIS)-based optimization, the best route to evacuate all victims within 12 h is determined. This study involves developing scenarios considering the number of vehicles and their travel distances. There are also evacuation guidelines, including the implementation of priority points and evacuation zone usage. The research results indicate that scenarios EV 5, 8, and 10 are the most optimal for using electric vehicles. Meanwhile, the optimal scenario for conventional vehicles is scenario 5. This analysis shows that implementing electric vehicle scenarios is superior to conventional vehicle scenarios in terms of the total time required to evacuate all victims.

Keywords: route; evacuation; electric vehicles; Geographic Information Systems; VRPEC (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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