Agent Based Modeling (ABM) For Land Use Transport Integration

DOI

10.2991/978-94-6239-747-7_12How to use a DOI?

Keywords

Agent-Based Modeling (ABM); Land Use Transport Integration (LUTI); Urban Simulation; Behavioral Modeling; Urban Dynamics; Data Integration; Urban Planning

Abstract

Rapid urbanisation, spatial fragmentation, and increasing mobility pressures have intensified the need for stronger land use transport integration (LUTI) in many cities. Weak coordination between housing growth, transport networks, and accessibility planning has contributed to congestion, inefficient land development, and uneven access to opportunities, particularly in rapidly growing urban regions. These challenges affect both commuters and planners, making the development of more responsive analytical tools an urgent priority.

This paper aims to examine how Agent-Based Modelling (ABM) has been used to strengthen LUTI, and to identify conceptual, methodological, and empirical gaps that affect its application in diverse urban contexts. To achieve this, the study adopts a structured review of academic literature published over the past two decades, drawing on peer-reviewed studies that apply ABM to land-use change modelling, transport microsimulation, and integrated urban systems analysis. The review finds that ABM enables the representation of heterogeneous agents and emergent spatial outcomes, offering advantages over traditional LUTI models that rely on static or aggregated behavioural assumptions (Waddell, 2002; Batty, 2005). However, persistent challenges such as data intensity, calibration difficulty, limited validation, and a concentration of studies in developed-world contexts continue to limit the transferability and operational use of ABM in planning practice (Moeckel, 2017; Crooks & Castle, 2020).

In response, the paper proposes a hybrid contribution consisting of a conceptual ABM–LUTI integration framework and an evaluation matrix to support systematic assessment and model transparency. Together, these outputs can assist planners and policymakers in selecting, interpreting, and applying ABM tools more effectively to support evidence-based urban development and integrated mobility planning.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Tushar Manhotra
AU  - Karan Barpete
PY  - 2026
DA  - 2026/08/24
TI  - Agent Based Modeling (ABM) For Land Use Transport Integration
BT  - Proceedings of the International Seminar on Designing the Future (ISDF 2026)
PB  - Atlantis Press
SP  - 254
EP  - 271
SN  - 3091-4442
UR  - https://doi.org/10.2991/978-94-6239-747-7_12
DO  - 10.2991/978-94-6239-747-7_12
ID  - Manhotra2026
ER  -