Pregled bibliografske jedinice broj: 1166730
Exploring injury severity of pedestrian-vehicle crashes at intersections: unbalanced panel mixed ordered probit model
Exploring injury severity of pedestrian-vehicle crashes at intersections: unbalanced panel mixed ordered probit model // European transport research review, 13 (2021), 1; 63, 9 doi:10.1186/s12544-021-00524-z (međunarodna recenzija, članak, znanstveni)
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Naslov
Exploring injury severity of pedestrian-vehicle
crashes at intersections: unbalanced panel mixed
ordered probit model
Autori
Šarić, Željko ; Xu, Xuecai ; Xiao, Daiquan ; Vrkljan, Joso
Izvornik
European transport research review (1867-0717) 13
(2021), 1;
63, 9
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
injury severity ; pedestrian-vehicle crash ; unbalanced panel mixed ordered probit model ; random parameter ordered probit model
Sažetak
Although the pedestrian deaths have been declining in recent years, the pedestrian-vehicle death rate in Croatia is still pretty high. This study intended to explore the injury severity of pedestrian-vehicle crashes with panel mixed ordered probit model and identify the influencing factors at intersections. To achieve this objective, the data were collected from Ministry of the Interior, Republic of Croatia from 2015 to 2018. Compared to the equivalent random-effects and random parameter ordered probit models, the proposed model showed better performance on goodness-of-fit, while capturing the impact of exogenous variables to vary among the intersections, as well as accommodating the heterogeneity issue due to unobserved effects. Results revealed that the proposed model can be considered as an alternative to deal with the heterogeneity issue and to decide the factor determinants. The results may provide beneficial insight for reducing the injury severity of pedestrian-vehicle crashes.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport
POVEZANOST RADA
Ustanove:
Fakultet prometnih znanosti, Zagreb,
Veleučilište "Nikola Tesla" u Gospiću
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- Social Science Citation Index (SSCI)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus