Road casualties represent the leading cause of death among young people worldwide, especially in poor and developing countries. This paper introduces a Bayesian hierarchical model to analyse car accidents on a network lattice that takes into account measurement error in spatial covariates. We exemplified the proposed approach analysing all car crashes that occurred in the road network of Leeds (UK) from 2011 to 2019. Our results show that omitting measurement error considerably worsens the fit of the model and attenuates the effects of spatial covariates.

Gilardi, A., Borgoni, R., Presicce, L., Mateu, J. (2021). Measurement error models on spatial network lattices: car crashes in Leeds. In CLADAG 2021 Book of abstracts and short papers (pp.348-351). Firenze [10.36253/978-88-5518-340-6].

Measurement error models on spatial network lattices: car crashes in Leeds

Gilardi, A.
;
Borgoni, R.;Presicce, L.;
2021

Abstract

Road casualties represent the leading cause of death among young people worldwide, especially in poor and developing countries. This paper introduces a Bayesian hierarchical model to analyse car accidents on a network lattice that takes into account measurement error in spatial covariates. We exemplified the proposed approach analysing all car crashes that occurred in the road network of Leeds (UK) from 2011 to 2019. Our results show that omitting measurement error considerably worsens the fit of the model and attenuates the effects of spatial covariates.
Si
abstract + slide
Scientifica
CAR, Linear Networks, Network Lattices, Spatial Measurement Error
English
Cladag 2021; 13th Scientific Meeting of Classification and Data Analysis Group
978-88-5518-340-6
https://media.fupress.com/files/pdf/24/7254/19407
Gilardi, A., Borgoni, R., Presicce, L., Mateu, J. (2021). Measurement error models on spatial network lattices: car crashes in Leeds. In CLADAG 2021 Book of abstracts and short papers (pp.348-351). Firenze [10.36253/978-88-5518-340-6].
Gilardi, A; Borgoni, R; Presicce, L; Mateu, J
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/356642
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