Preprints
https://doi.org/10.5194/egusphere-2025-908
https://doi.org/10.5194/egusphere-2025-908
28 Feb 2025
 | 28 Feb 2025

Identifying urban settlement archetypes: clustering for enhanced multi-risk exposure and vulnerability analysis

Gabriella Tocchi, Massimiliano Pittore, and Maria Polese

Abstract. Identification of risks and vulnerabilities in urban areas is crucial for supporting city authorities in disaster risk reduction and climate change adaptation. Moreover, comparison of risk assessments across different cities may help effective allocation of adaptation funding towards more resilient and sustainable cities. The distinct physical, social, economic, and environmental characteristics of a city, along with the relevance of impending hazards, determine the level of risk and vulnerability faced by its residents. While the results of urban risk assessments will vary from one city to another, using general urban typologies (e.g. coastal cities, dryland cities, and inland or high-altitude cities) can effectively support in the understanding of risk in relation to its key drivers, helping to segmentate the complexity in otherwise too broad problem (Dickson et al., 2012).

This study aims to reduce complexity in urban risk assessment at regional and national scale, ensure a baseline for comparison and identify potential hotspots in multi-hazard and multi-risk assessment frameworks. We propose a clustering methodology that groups urban settlements based on open-source data, used as proxies of urban vulnerability and exposure. Applying two widely used clustering techniques, we define 18 urban archetypes for the Italian territory, incorporating geographic, demographic, and socio-economic characteristics. These archetypes satisfy multiple validity dimensions of archetype analysis (Piemontese et al., 2022) and can serve as a valuable tool for policymakers. By providing a structured understanding of urban vulnerability profiles, they support the design of targeted interventions and urban resilience strategies tailored to specific risk conditions.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Journal article(s) based on this preprint

29 Sep 2025
Identifying urban and rural settlement archetypes: clustering for enhanced risk-oriented exposure and vulnerability analysis
Gabriella Tocchi, Massimiliano Pittore, and Maria Polese
Nat. Hazards Earth Syst. Sci., 25, 3665–3692, https://doi.org/10.5194/nhess-25-3665-2025,https://doi.org/10.5194/nhess-25-3665-2025, 2025
Short summary
Gabriella Tocchi, Massimiliano Pittore, and Maria Polese

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-908', Anonymous Referee #1, 19 Mar 2025
    • AC1: 'Reply on RC1', Gabriella Tocchi, 18 May 2025
      • AC3: 'Reply on AC1', Gabriella Tocchi, 18 May 2025
  • RC2: 'Comment on egusphere-2025-908', Anonymous Referee #2, 07 Apr 2025
    • AC2: 'Reply on RC2', Gabriella Tocchi, 18 May 2025
      • AC4: 'Reply on AC2', Gabriella Tocchi, 18 May 2025

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-908', Anonymous Referee #1, 19 Mar 2025
    • AC1: 'Reply on RC1', Gabriella Tocchi, 18 May 2025
      • AC3: 'Reply on AC1', Gabriella Tocchi, 18 May 2025
  • RC2: 'Comment on egusphere-2025-908', Anonymous Referee #2, 07 Apr 2025
    • AC2: 'Reply on RC2', Gabriella Tocchi, 18 May 2025
      • AC4: 'Reply on AC2', Gabriella Tocchi, 18 May 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (21 May 2025) by Sven Fuchs
AR by Gabriella Tocchi on behalf of the Authors (01 Jul 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (04 Jul 2025) by Sven Fuchs
RR by Anonymous Referee #2 (30 Jul 2025)
ED: Publish subject to minor revisions (review by editor) (31 Jul 2025) by Sven Fuchs
AR by Gabriella Tocchi on behalf of the Authors (08 Aug 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (14 Aug 2025) by Sven Fuchs
AR by Gabriella Tocchi on behalf of the Authors (16 Aug 2025)  Manuscript 

Journal article(s) based on this preprint

29 Sep 2025
Identifying urban and rural settlement archetypes: clustering for enhanced risk-oriented exposure and vulnerability analysis
Gabriella Tocchi, Massimiliano Pittore, and Maria Polese
Nat. Hazards Earth Syst. Sci., 25, 3665–3692, https://doi.org/10.5194/nhess-25-3665-2025,https://doi.org/10.5194/nhess-25-3665-2025, 2025
Short summary
Gabriella Tocchi, Massimiliano Pittore, and Maria Polese
Gabriella Tocchi, Massimiliano Pittore, and Maria Polese

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
This study identifies different types of urban areas in Italy based on population, location, and economic conditions to understand their vulnerability to risks. Using public data and clustering methods, it defines 18 urban archetypes. These archetypes provide a structured understanding of urban vulnerability, helping policymakers assess disaster risk, allocate adaptation funding, and design targeted resilience strategies for urban settlements at regional and national scales.
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