Spatio-Temporal Variations of Night-Time Road Crashes: Are Night-Time Lights a Reliable Indicator?

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F25%3A00386296" target="_blank" >RIV/68407700:21260/25:00386296 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.trpro.2025.10.095" target="_blank" >https://doi.org/10.1016/j.trpro.2025.10.095</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.trpro.2025.10.095" target="_blank" >10.1016/j.trpro.2025.10.095</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Spatio-Temporal Variations of Night-Time Road Crashes: Are Night-Time Lights a Reliable Indicator?

Popis výsledku v původním jazyce

Decreased ambient lighting conditions are one of the main factors that contribute to the higher probability of more serious road crashes or even road crash fatalities. These conditions are determined not only by weather conditions and natural light sources, however, by artificial light sources such as street lighting. Reliable data on street lighting remain scarce and it is difficult to make them as the model input, especially over large areas and for long periods of time. This paper investigates the performance of VIIRS Night-Time Lights (NTLs) as an open data source to capture the spatio-temporal variations of night-time road crashes from January 2017 to December 2022 in two study areas of the Czech Republic. The research methodology applies simple regression models to investigate the relationship between night-time crashes and radiance. Both regression models, the Poisson Generalised Linear Model (GLM) and the hurdle Poisson model, had mainly statistically significant estimates of regression parameters indicating the importance of the radiance.

Název v anglickém jazyce

Spatio-Temporal Variations of Night-Time Road Crashes: Are Night-Time Lights a Reliable Indicator?

Popis výsledku anglicky

Decreased ambient lighting conditions are one of the main factors that contribute to the higher probability of more serious road crashes or even road crash fatalities. These conditions are determined not only by weather conditions and natural light sources, however, by artificial light sources such as street lighting. Reliable data on street lighting remain scarce and it is difficult to make them as the model input, especially over large areas and for long periods of time. This paper investigates the performance of VIIRS Night-Time Lights (NTLs) as an open data source to capture the spatio-temporal variations of night-time road crashes from January 2017 to December 2022 in two study areas of the Czech Republic. The research methodology applies simple regression models to investigate the relationship between night-time crashes and radiance. Both regression models, the Poisson Generalised Linear Model (GLM) and the hurdle Poisson model, had mainly statistically significant estimates of regression parameters indicating the importance of the radiance.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20104 - Transport engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Transportation Research Procedia

ISBN

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ISSN

2352-1457

e-ISSN

2352-1465

Počet stran výsledku

8

Strana od-do

742-749

Název nakladatele

Elsevier B.V.

Místo vydání

Amsterdam

Místo konání akce

Zagreb

Datum konání akce

11. 12. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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