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A Design of Activity-Based Mobility Intervention

by Joonseok Kim, Gautam Thakur, Steven C Christopher
Publication Type
Conference Paper
Book Title
Proceedings of the 18th International Symposium on Spatial and Temporal Data
Publication Date
Page Numbers
131 to 140
Publisher Location
New York, New York, United States of America
Conference Name
18th International Symposium on Spatial and Temporal Data (SSTD 2023)
Conference Location
Calgary, Canada
Conference Sponsor
Conference Date

Human mobility influences our society and vice versa. During the COVID-19 pandemic, non-pharmaceutical intervention that alters activity-based mobility such as work-from-home greatly impacted human mobility patterns. Many studies on developing mitigation strategies have employed or implemented their own mobility intervention within their model assumption. For fair evaluation between intervention strategies across models, it is significant to set up compatible experimental environments. However, it is difficult to apply the identical intervention to different kinds of models and compare their effectiveness because each model might have different assumptions, capabilities, and implementations. Even if one can apply intervention to heterogeneous models, it may produce undesirable artifacts due to difference of models and integration with intervention. Therefore, minimizing undesirable artifacts and facilitating intervention experiments across heterogeneous models are substantial. Taking this into account, this paper investigates a design of activity-based mobility intervention (ABMI). We define ABMI together with related concepts and develop an extensible data model and schema of ABMI based on the 5W1H method that can be used in different models. As a case study, we apply the ABMI model to a micro-simulation to demonstrate the usability of the proposed model. We expect that standardized ABMI and interfaces may help to streamline development and experiments of intervention strategies across heterogeneous models.