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Development of a Virtual Disaster Simulator for Municipal Training in Japan Tsukamoto, Junya; Fujita, Shintaro; Fujita, Kaede; Ichikawa, Manabu
Jurnal Manajemen Teknologi Vol. 24 No. 2 (2025)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/jmt.2025.24.2.6

Abstract

Abstract -This study introduces a comprehensive simulation model using agent-based modeling (ABM) to assist local governments in developing disaster training scenarios, focusing on earthquake-induced infrastructure damage, sediment disasters, and evacuation behavior. The model comprises three key components: a disaster simulator predicting infrastructure damage, a sediment disaster model replicating damage within warning zones, and an evacuation behavior model representing individual decision-making. Developed with the SOARS toolkit and visualized using Python and ArcGIS Pro, the model effectively captures disaster scenarios. Although infrastructure damage predictions were slightly lower than historical data, they were successfully incorporated into the scenarios. The sediment disaster model accurately reflected trends in the number of affected agents, like past events, and the evacuation model demonstrated consistent behavior patterns across simulations. Additionally, new insights emerged, such as cases where the number of evacuating agents exceeded shelter capacity. Municipalities can employ this model to enhance their disaster response capabilities and conduct more realistic and diverse disaster simulations, ultimately improving the effectiveness of their disaster preparedness training programs.  Keywords - Agent-based modeling, disaster simulation, evacuation behavior, SOARS toolkit, disaster tabletop drills
Promotion Of Town Development Through Human Flow Simulation At Sports-Related Facilities Shimizu, Ko; Nagasawa, Shinya; Shukuya, Mirei; Fujita, Kaede; Ichikawa, Manabu
Jurnal Manajemen Teknologi Vol. 24 No. 2 (2025)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/jmt.2025.24.2.4

Abstract

Abstract. In recent years, crowd congestion around large-scale sports facilities has emerged as a significant issue in urban safety and event management. This study evaluates the design and surrounding infrastructure of a planned new sports facility by simulating pedestrian flow using the Social Force Model and the S4 Simulation System. The facility, accommodating 15,000 people and located about 400 meters from the nearest train station, is expected to generate high post-event pedestrian volume. Nine simulation scenarios were tested by varying destination ratios and walking speeds based on age distribution. Results revealed that although average travel times remained similar across scenarios, significant differences in modal times and congestion points emerged depending on the agent distribution and routing assumptions. Key stagnation areas included the deck entrance and branching points within the facility. The study confirmed that while the basic design met safety requirements, inefficiencies in pedestrian flow—due to limited infrastructure and overly narrow walkways—hindered rapid dispersal. Based on the findings, the study recommends modifications to the infrastructure plan and plans for enhanced crowd guidance. The research findings underscore the importance of incorporating flow-based simulations into facility planning, contributing not only to visitor safety and satisfaction but also to data-driven urban development around large event venues. Keywords:  Pedestrian flow simulation, social force model, sports facility planning, urban infrastructure design, and post-event crowd management
Study on the Effectiveness of Internet Advertising Based on Consumer Perspectives in Targeting-Challenged Situations Hori, Kanae; Fujita, Kaede; Ichikawa, Manabu
The Asian Journal of Technology Management (AJTM) Vol. 18 No. 2 (2025)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2025.18.2.2

Abstract

Abstract. As internet advertising becomes increasingly prevalent, both consumers and advertisers face new challenges, particularly as the phase-out of third-party cookies has reduced the accuracy of ad targeting. In light of such changes, this study examines the effectiveness of online advertising from the consumer's perspective in targeting-constrained environments. An agent-based simulation model was developed to capture the process from ad exposure to purchase and subsequent sharing. The model incorporates key variables such as interest matching, exposure frequency, and social influence. Simulation results demonstrate that even without precise targeting, ad effectiveness can be improved by aligning content with consumer interests and optimizing exposure frequency. These findings offer practical insights into designing privacy-conscious, user-friendly advertising strategies. Keywords: Agent-based modeling, internet advertising, consumer behavior, advertising effectiveness, repeated exposure