Data-Driven Agent-Based Model Development to Support Human-Centric Transit-Oriented Design

Published in Advances in Social Simulation (Springer Proceedings in Complexity), 2022

This paper presents a data-driven agent-based model to support human-centric transit-oriented development (TOD) design. By integrating empirical data with agent-based simulation, we provide a framework that informs urban planning decisions and enables the exploration of design alternatives centred around human needs and behaviours.

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R. Vidanaarachchi, J. Thompson, B. Godic and R. McClure, “Data-Driven Agent-Based Model Development to Support Human-Centric Transit-Oriented Design,” in International Workshop on Agent-Based Modelling of Urban Systems (ABMUS), pp. 16, doi: 10.1007/978-3-031-20179-0_3.

BibTeX

@inproceedings{vidanaarachchiagentsx,
  title={Data-Driven Agent-Based Model Development to Support Human-Centric Transit-Oriented Design},
  author={Vidanaarachchi, Rajith and Thompson, Jason and Godic, Branislava and McClure, Rod},
  booktitle={International Workshop on Agent-Based Modelling of Urban Systems (ABMUS)},
  pages={16}
}