Spatial modelling and mapping of urban fire occurrence in Portugal

Bispo, Regina; Vieira, Francisca G.; Bachir, Nadjet Larbi Daho; Espadinha-Cruz, Pedro; Lopes, José Pedro; Penha, Alexandre; Marques, Filipe J.; Grilo, António

doi:10.1016/j.firesaf.2023.103802

Cited by 8 publications

(1 citation statement)

References 39 publications

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“…In particular, Bispo et al . 16 model urban fire occurrences at a municipality level, ultimately mapping the probability of urban fires occurrence in mainland Portugal, and Eslamzadeh et al . 17 assessed fire departments performance using a slack-based Data Envelopment Analysis (DEA).…”

Section: Background and Summarymentioning

confidence: 99%

A decade of urban fires: Portuguese events between 2013 and 2022

Bispo,

Marques,

Penha

et al. 2023

Sci Data

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This study describes a dataset containing urban fire events that took place in mainland Portugal between 2013 and 2022. The Regulation n.º3317-A/2018, established by the Portuguese National Emergency and Civil Protection Authority (Autoridade Nacional de Emergência e Proteção Civil, ANEPC), defines the Operations Management System (Sistema de Gestão de Operações, SGO). Among other attributions, this system allows to manage the lyfe-cycle of the urban fire events, from ignition to extinction, through the Operations Decision Support System (Sistema de Apoio Ã Decisão Operacional, SADO). This system supports the systematic collection of a minimum set of data on each event. All instances included in the dataset were retrieved from SADO. To make the data suitable for analytic purposes, several pre-processing actions were taken, including the steps of data transformation and cleaning. The dataset was further validated by a set of technical procedures aiming to verify both data correctness and utility. The final dataset provides the most recent multi-year record of Portuguese urban fires including 27 variables on 72641 events.

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Section: Background and Summarymentioning

confidence: 99%

A decade of urban fires: Portuguese events between 2013 and 2022

Bispo,

Marques,

Penha

et al. 2023

Sci Data

Self Cite

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Are the Portuguese Fire Departments Well Located for Fighting Urban Fires?

Gomes,

Jóia,

Pinela

et al. 2023

Springer Proceedings in Mathematics &Amp; Statistics

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Using spatial point process models, clustering and space partitioning to reconfigure fire stations layout

Bispo,

Vieira,

Yokochi

et al. 2023

Int J Data Sci Anal

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Fire stations (FS) are typically non-uniformly distributed across space, and their service area is, in general, defined based on administrative boundaries. Since the location of FS may considerably influence the readiness and the effectiveness of the provided services, national and regional governments need research-based information to adequately plan where to establish firefighting facilities. In this study, we propose a method to reconfigure the fire stations layout using spatial point process models, clustering and space partitioning. First, modelling fire intensity variation across space through a point process model enables to replicate the process independently by simulation. Subsequently, for each simulation, the k-means algorithm is used to define a siting location, minimizing the total within distance between the fire occurrences and the new position. This method allows to obtain a set of locations from which the respective distribution is inferred. Assuming a bivariate normal spatial distribution, we further define confidence siting regions. Ultimately, new FS service areas are defined by Voronoi tessellation. To exemplify the application of the method, we apply it to reconfigure the fire station layout at Aveiro, Portugal.

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Spatial modelling and mapping of urban fire occurrence in Portugal

Cited by 8 publications

References 39 publications

A decade of urban fires: Portuguese events between 2013 and 2022

A decade of urban fires: Portuguese events between 2013 and 2022

Are the Portuguese Fire Departments Well Located for Fighting Urban Fires?

Using spatial point process models, clustering and space partitioning to reconfigure fire stations layout

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