Experimental Evaluation based on a Technology Acceptance Model for the Use of Congestion Mitigation Applications
DOI:
https://doi.org/10.52731/liir.v006.375Keywords:
Simulation, Over Tourism, Application, UseabilityAbstract
This study proposes a web application that manages and optimizes user movement in real time to reduce congestion and the risk of crowd-related accidents at tourist sites, event venues, and evacuation areas during disasters. The application features a navigation system utilizing checkpoints, guiding users step-by-step toward their destination to prevent crowding at specific routes or locations. By employing Dijkstra’s algorithm, it calculates optimal routes based on congestion levels and the capacity of each checkpoint, enabling personalized route recommendations. In the event of a disaster, the system dynamically optimizes evacuation routes to support safe and efficient evacuation. User behavior data and congestion information are continuously recorded and analyzed to enhance system accuracy and optimize capacity settings. This system is expected to contribute to solving societal issues such as promoting sustainable tourism, preventing crowd accidents in urban areas, and supporting evacuation during emergencies.
References
Kimjin Choi, "The Emergence of Overtourism and Issues of Sustainable Tourism De velopment," Kyushu International University Journal of International Economics, vol. 5, 2020, pp. 193–206.
Yukiko Tanimoto, Yoshitaka Tanimoto, "A Study on the Concept of Overtourism in Venice and Its Implications for Japan and Kyoto (1)," Doctoral Dissertation, Kansai Gaidai University, 2020.
Tsuyoshi Nakayama, Yuka Miyaji, Seishi Kato, Nobuhisa Sakurada, Noriyuki Ueda, Ta kayuki Nomura, Kazunori Okayu, Hiroshi Uematsu, Eiji Kimura, "Study on Mobile Phone Applications to Support People with Brain Dysfunction," IEEJ Transactions C (Electronics, Information and Systems), vol. 130, no. 3, 2010.
Yoshihisa Takada, Yoshiharu Fujita, "A Study on the Acceptance Factors of Mobile Data Services among Smartphone Users," Journal of the Institute of Information and Communication Research, 2013.
Daichi Yanagisawa, Katsuhiro Nishinari, "Cellular Automaton Model of Crowd Move ment," Journal of Information Processing, vol. 58, no. 7, 2017, pp. 570–571.
Bagozzi, Richard P., Youjae Yi, "On the Evaluation of Structural Equation Models," Journal of the Academy of Marketing Science, vol. 16, no. 1, 1998, pp. 74–94.
Hopper, Daire, Joseph Coughlan, Michael R. Mullen, "Structural Equation Model-ling: Guidelines for Determining Model Fit," Electronic Journal of Business Re-search Methods, 2008.
Davis, Fred D., et al., "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, vol. 35, no. 8, 1989, pp. 982–1003.
