Exploring and Comparing Spatial Clusters of Pedestrian Night-Time Crashes Based on Different Street Lighting Conditions at County Spatial Unit

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F24%3A00380245" target="_blank" >RIV/68407700:21260/24:00380245 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.7307/ptt.v36i6.784" target="_blank" >https://doi.org/10.7307/ptt.v36i6.784</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.7307/ptt.v36i6.784" target="_blank" >10.7307/ptt.v36i6.784</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Exploring and Comparing Spatial Clusters of Pedestrian Night-Time Crashes Based on Different Street Lighting Conditions at County Spatial Unit

Popis výsledku v původním jazyce

This paper attempts to determine the role of street lighting in the spatial clustering of night-time crashes involving pedestrians in the Republic of Croatia. Five-year (2018–2022) night-time pedestrian crash data were used in conditions with and without street lighting. First, distance-based statistical methods were used to assess the spatial clustering and deviations from complete spatial randomness (CRS) of the crash patterns. Second, the global Moran’s I analysis was conducted to investigate a degree of spatial autocorrelation of the annual crash counts aggregated in 21 counties of Croatia. Finally, the local indicators of spatial association (LISA) were used to identify the locations of the crash count hotspots. The results of the ANND analysis confirm a significant clustering of crashes for both street lighting conditions. However, different global Moran’s I values for both conditions were obtained with a high and statistically significant positive value for the crash counts without street lighting. Local Moran's I analysis reveals that the High-High (H-H) county clusters are located in coastal regions of Croatia, while the Low-Low (L-L) county clusters appear in the East continental part, next to Slavonia. The results suggest that inadequate lighting conditions have an impact on the clustering of pedestrian crashes at night.

Název v anglickém jazyce

Exploring and Comparing Spatial Clusters of Pedestrian Night-Time Crashes Based on Different Street Lighting Conditions at County Spatial Unit

Popis výsledku anglicky

This paper attempts to determine the role of street lighting in the spatial clustering of night-time crashes involving pedestrians in the Republic of Croatia. Five-year (2018–2022) night-time pedestrian crash data were used in conditions with and without street lighting. First, distance-based statistical methods were used to assess the spatial clustering and deviations from complete spatial randomness (CRS) of the crash patterns. Second, the global Moran’s I analysis was conducted to investigate a degree of spatial autocorrelation of the annual crash counts aggregated in 21 counties of Croatia. Finally, the local indicators of spatial association (LISA) were used to identify the locations of the crash count hotspots. The results of the ANND analysis confirm a significant clustering of crashes for both street lighting conditions. However, different global Moran’s I values for both conditions were obtained with a high and statistically significant positive value for the crash counts without street lighting. Local Moran's I analysis reveals that the High-High (H-H) county clusters are located in coastal regions of Croatia, while the Low-Low (L-L) county clusters appear in the East continental part, next to Slavonia. The results suggest that inadequate lighting conditions have an impact on the clustering of pedestrian crashes at night.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50702 - Urban studies (planning and development)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

PROMET - Traffic&Transportation

ISSN

0353-5320

e-ISSN

1848-4069

Svazek periodika

36

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

HR - Chorvatská republika

Počet stran výsledku

18

Strana od-do

988-1005

Kód UT WoS článku

001409144300001

EID výsledku v databázi Scopus

2-s2.0-85213448151