BOOK-CHAPTER

Agent-Based Modelling in Routine Dynamics

Dehua Gao

Year: 2021 Cambridge University Press eBooks Pages: 159-171   Publisher: Cambridge University Press

Abstract

The development of routine dynamics entails both a theoretical shift and changes in methodology. Agent-based modelling (ABM) offers an approach to enriching our understandings of routine dynamics from the 'bottom-up'. This chapter provides an overview of ABM methodology in routine dynamics research. It includes a comparison of the eleven contemporary agent-based models (ABMs) selected from literature, a summary of research challenges and reflections on future work. As this chapter shows, we can differentiate ABMs in routine dynamics based on levels of analysis and concrete research questions. Further, developing empirically grounded ABMs will be a challenging but worthwhile effort.

Keywords:
Dynamics (music) Computer science Management science Data science Engineering ethics Engineering Psychology

Metrics

1
Cited By
0.71
FWCI (Field Weighted Citation Impact)
67
Refs
0.75
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Complex Systems and Decision Making
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Innovation Diffusion and Forecasting
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Transportation Planning and Optimization
Social Sciences →  Social Sciences →  Transportation

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