Towards inclusive risk-informed infrastructure development in expanding cities

Conventional natural-hazard risk-modeling approaches do not consider possible unintended negative socioeconomic consequences of designing infrastructure expansions in a risk-informed way. Here, we propose a people-centered decision-making framework for urban infrastructure development that addresses this issue. The framework integrates a bespoke agent-based model that accounts for implications of variations in infrastructure expansion on dynamic land values and related residential location decision making. This means that the model captures macro-scale socioeconomic effects resulting from infrastructure development that are not explicitly related to natural-hazard events. The underlying algorithm balances these considerations with the successful operation of the infrastructure itself and the potential infrastructure performance losses that accompany a natural-hazard event. We demonstrate the framework by optimizing the expansion of transportation in a virtual urban testbed that imitates a typical expanding urban context in the Global South. This work can be used to guide inclusive risk-sensitive infrastructure planning in hazardous, rapidly growing cities.

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Publication Details

Journal
Communications Engineering
Published
2025-09-02
DOI
https://doi.org/10.1038/s44172-025-00494-3
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Towards inclusive risk-informed infrastructure development in expanding cities

Fabrizio Nocera, Yahya Gamal, Gemma Cremen, Chenbo Wang
Communications Engineering
Evacuation and Crowd Dynamics
article

Towards inclusive risk-informed infrastructure development in expanding cities

Fabrizio Nocera, Yahya Gamal, Gemma Cremen, Chenbo Wang
article en

Abstract

Conventional natural-hazard risk-modeling approaches do not consider possible unintended negative socioeconomic consequences of designing infrastructure expansions in a risk-informed way. Here, we propose a people-centered decision-making framework for urban infrastructure development that addresses this issue. The framework integrates a bespoke agent-based model that accounts for implications of variations in infrastructure expansion on dynamic land values and related residential location decision making. This means that the model captures macro-scale socioeconomic effects resulting from infrastructure development that are not explicitly related to natural-hazard events. The underlying algorithm balances these considerations with the successful operation of the infrastructure itself and the potential infrastructure performance losses that accompany a natural-hazard event. We demonstrate the framework by optimizing the expansion of transportation in a virtual urban testbed that imitates a typical expanding urban context in the Global South. This work can be used to guide inclusive risk-sensitive infrastructure planning in hazardous, rapidly growing cities.

Communications EngineeringVol. 4(1)
King's College London (GB), Urban Big Data Centre (GB), The London College (GB), University College London (GB), University of Glasgow (GB)
UK Research and Innovation
Openalex Percentile: Top 71%
Evacuation and Crowd Dynamics
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Towards inclusive risk-informed infrastructure development in expanding cities — Fabrizio Nocera, Yahya Gamal, et al. · Communications Engineering (2025) | TGRS Research Map | TGRS