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Transportation Infrastructure Resilience Model Using MICMAC Analysis (Variable Identification Phase)
Transportation infrastructure that has been operating so far should have the need for resilience, namely the ability of an infrastructure to withstand disasters or disturbances (resilient infrastructure) so that it can operate well. This is due to the need to increase the readiness of transportation infrastructure to deal with various natural disasters and events that can disrupt transportation efficiency. This research aims to identify variables before modeling to increase the resilience of transportation infrastructure in Indonesia using MICMAC analysis. The research method used includes identifying variables that influence the resilience of transportation infrastructure, data collection, and data analysis using the Guttman scale, collecting data through observation, and distributing questionnaires to respondents from experts to deepen information. The expected results are variables that are relevant to the formation of a resilient and sustainable transportation infrastructure model.
Transportation Infrastructure Resilience Model Using MICMAC Analysis (Variable Identification Phase)
Transportation infrastructure that has been operating so far should have the need for resilience, namely the ability of an infrastructure to withstand disasters or disturbances (resilient infrastructure) so that it can operate well. This is due to the need to increase the readiness of transportation infrastructure to deal with various natural disasters and events that can disrupt transportation efficiency. This research aims to identify variables before modeling to increase the resilience of transportation infrastructure in Indonesia using MICMAC analysis. The research method used includes identifying variables that influence the resilience of transportation infrastructure, data collection, and data analysis using the Guttman scale, collecting data through observation, and distributing questionnaires to respondents from experts to deepen information. The expected results are variables that are relevant to the formation of a resilient and sustainable transportation infrastructure model.
Transportation Infrastructure Resilience Model Using MICMAC Analysis (Variable Identification Phase)
Lecture Notes in Civil Engineering
Nia, Elham Maghsoudi (editor) / Awang, Mokhtar (editor) / Prihartanto, Eko (author) / Putu Artama Wiguna, I. (author) / Arif Rohman, M. (author) / Indriyani, Retno (author)
International Conference on Architecture and Civil Engineering Conference : ; 2023 ; Putrajaya, Malaysia
2024-07-06
13 pages
Article/Chapter (Book)
Electronic Resource
English
Emerald Group Publishing | 2024
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