A conceptual framework of 3D urban evacuation simulation under flooding: Integrating urban digital twins with agent-based modelling

Urban flood evacuation simulations commonly rely on two-dimensional (2D) representations of urban environments, even though real cities are inherently three-dimensional (3D). Because flood inundation is closely shaped by the 3D structure of urban space, this mismatch may bias estimates of evacuation feasibility and timing while limiting the evaluation of disaster response strategies. This paper therefore proposes a conceptual framework for 3D urban evacuation simulation under flooding by coupling an urban digital twin (UDT)-based 3D navigation network with an agent-based model (ABM). The navigation network represents multi-level navigable spaces and their connectivity as a 3D graph with mode-dependent constraints for walking, driving, and public transport. The ABM incorporates variables associated with the vertical dimension of evacuation processes. An illustrative example is provided to demonstrate the framework. The main contributions are: 1) a conceptual framework integrating UDTs and ABM for 3D urban evacuation simulation; 2) a hierarchical definition and specification of navigable spaces and their connectivity for constructing a 3D graph-based navigation network; and 3) the identification of variables for representing 3D evacuation processes. The framework helps enable more effective disaster prevention and response strategies.

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Publication Details

Journal
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Published
2026-09-28
DOI
https://doi.org/10.5194/isprs-annals-xii-4-w1-2026-309-2026
Primary Topic
Evacuation and Crowd Dynamics
Type
article
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A conceptual framework of 3D urban evacuation simulation under flooding: Integrating urban digital twins with agent-based modelling

Yoshihide Sekimoto, Fuko Nakai, Ruihang Xie
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
Evacuation and Crowd Dynamics
article

A conceptual framework of 3D urban evacuation simulation under flooding: Integrating urban digital twins with agent-based modelling

Yoshihide Sekimoto, Fuko Nakai, Ruihang Xie
article en

Abstract

Urban flood evacuation simulations commonly rely on two-dimensional (2D) representations of urban environments, even though real cities are inherently three-dimensional (3D). Because flood inundation is closely shaped by the 3D structure of urban space, this mismatch may bias estimates of evacuation feasibility and timing while limiting the evaluation of disaster response strategies. This paper therefore proposes a conceptual framework for 3D urban evacuation simulation under flooding by coupling an urban digital twin (UDT)-based 3D navigation network with an agent-based model (ABM). The navigation network represents multi-level navigable spaces and their connectivity as a 3D graph with mode-dependent constraints for walking, driving, and public transport. The ABM incorporates variables associated with the vertical dimension of evacuation processes. An illustrative example is provided to demonstrate the framework. The main contributions are: 1) a conceptual framework integrating UDTs and ABM for 3D urban evacuation simulation; 2) a hierarchical definition and specification of navigable spaces and their connectivity for constructing a 3D graph-based navigation network; and 3) the identification of variables for representing 3D evacuation processes. The framework helps enable more effective disaster prevention and response strategies.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciencesVol. XII-4/W1-2026(0)
The University of Tokyo (JP)
Climate action
Openalex Percentile: Top 16%
Evacuation and Crowd Dynamics
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A conceptual framework of 3D urban evacuation simulation under flooding: Integrating urban digital twins with agent-based modelling — Yoshihide Sekimoto, Fuko Nakai, et al. · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2026) | TGRS Research Map | TGRS