DEVELOPMENT OF RE – ROUTE MODEL OF TRANSPORTATION SYSTEM BASED ON FLOOD DISASTER CASE STUDY: FLOOD IN BANDUNG RAYA AREA

• Main Author: Darwin
• Format: Dissertations
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/43287
• Institution: Institut Teknologi Bandung

Indonesian territory becomes prone to various disasters. Each disaster event affects the performance of traffic operations, which can result in economic and social losses, therefore research needs to be done to develop a traffic management model based on disaster mitigation. One of the effects of flooding is the disruption of community movement patterns. Flooding has caused some roads to be closed so road users have to find other alternative travel routes. Changes in travel patterns made by the user by themselves Will have an impact on changes in travel time and travel costs can even increase the damage to roads on roads that are not prepared for large volume movements. This phenomenon becomes important to be examined given the recurrence of flood events while the need for movement is also always there. his doctoral research tries to fill the scarcity of the traffic disruption model based on the dynamics of the relationship between the dynamics of floods and the dynamics of movement. One of the novelties of this research lies in the integration of flood dynamics models with the dynamics of movement in the system of road networks systemically and dynamically. During this time the relationship modeling is both static and partial on one road section. The novelty element developed in this research succeeded in showing that traffic disorders are complex phenomena that can be structured behavior through a feedback loop model. The results of the use of the feedback loop model on the traffic disruption model and the simulation tests show that the combination of the attractiveness of the road segment with the probability of the choice of road users results in the finding that the traffic system has the ability to self-organizing phenomenon, which is characterized by the return of stability of the traffic performance after traffic disruptions finished. The model succeeded in showing that each section has a different ability to recover its performance depending on the characteristics of the segment concerned and the influence of the characteristics of the segments connected to it. Delay in the ability of the network system to return to normal stability is very dependent on the performance of each section. Model simulation results show that the novelty elements developed through this research succeeded in providing better simulation results in providing a holistic and comprehensive understanding of the phenomenon of traffic disorders.