486 related articles for article (PubMed ID: 32688081)
1. A Bayesian spatial Poisson-lognormal model to examine pedestrian crash severity at signalized intersections.
Munira S; Sener IN; Dai B
Accid Anal Prev; 2020 Sep; 144():105679. PubMed ID: 32688081
[TBL] [Abstract][Full Text] [Related]
2. Pedestrian safety at signalized intersections: Modelling spatial effects of exposure, geometry and signalization on a large urban network.
Stipancic J; Miranda-Moreno L; Strauss J; Labbe A
Accid Anal Prev; 2020 Jan; 134():105265. PubMed ID: 31704639
[TBL] [Abstract][Full Text] [Related]
3. Bayesian approach to model pedestrian crashes at signalized intersections with measurement errors in exposure.
Xie SQ; Dong N; Wong SC; Huang H; Xu P
Accid Anal Prev; 2018 Dec; 121():285-294. PubMed ID: 30292868
[TBL] [Abstract][Full Text] [Related]
4. Analyzing pedestrian crash injury severity at signalized and non-signalized locations.
Haleem K; Alluri P; Gan A
Accid Anal Prev; 2015 Aug; 81():14-23. PubMed ID: 25935426
[TBL] [Abstract][Full Text] [Related]
5. A joint probability model for pedestrian crashes at macroscopic level: Roles of environment, traffic, and population characteristics.
Su J; Sze NN; Bai L
Accid Anal Prev; 2021 Feb; 150():105898. PubMed ID: 33310648
[TBL] [Abstract][Full Text] [Related]
6. A Poisson-lognormal conditional-autoregressive model for multivariate spatial analysis of pedestrian crash counts across neighborhoods.
Wang Y; Kockelman KM
Accid Anal Prev; 2013 Nov; 60():71-84. PubMed ID: 24036167
[TBL] [Abstract][Full Text] [Related]
7. Considering built environment and spatial correlation in modeling pedestrian injury severity.
Prato CG; Kaplan S; Patrier A; Rasmussen TK
Traffic Inj Prev; 2018 Jan; 19(1):88-93. PubMed ID: 28534647
[TBL] [Abstract][Full Text] [Related]
8. Multivariate poisson lognormal modeling of crashes by type and severity on rural two lane highways.
Wang K; Ivan JN; Ravishanker N; Jackson E
Accid Anal Prev; 2017 Feb; 99(Pt A):6-19. PubMed ID: 27846421
[TBL] [Abstract][Full Text] [Related]
9. Multimodal injury risk analysis of road users at signalized and non-signalized intersections.
Strauss J; Miranda-Moreno LF; Morency P
Accid Anal Prev; 2014 Oct; 71():201-9. PubMed ID: 24945759
[TBL] [Abstract][Full Text] [Related]
10. What are the leading causes of fatal and severe injury crashes involving older pedestrian? Evidence from Bayesian network model.
Lalika L; Kitali AE; Haule HJ; Kidando E; Sando T; Alluri P
J Safety Res; 2022 Feb; 80():281-292. PubMed ID: 35249608
[TBL] [Abstract][Full Text] [Related]
11. Using bus critical driving events as surrogate safety measures for pedestrian and bicycle crashes based on GPS trajectory data.
Li P; Abdel-Aty M; Yuan J
Accid Anal Prev; 2021 Feb; 150():105924. PubMed ID: 33340804
[TBL] [Abstract][Full Text] [Related]
12. Investigating risk factors associated with pedestrian crash occurrence and injury severity in Texas.
Rahman M; Kockelman KM; Perrine KA
Traffic Inj Prev; 2022; 23(5):283-289. PubMed ID: 35584352
[TBL] [Abstract][Full Text] [Related]
13. An exploratory analysis of factors associated with traffic crashes severity in Cartagena, Colombia.
Cantillo V; Márquez L; Díaz CJ
Accid Anal Prev; 2020 Oct; 146():105749. PubMed ID: 32916551
[TBL] [Abstract][Full Text] [Related]
14. Investigation of crashes at pedestrian hybrid beacons: Results of a large-scale study in Arizona.
Fitzpatrick K; Park ES; Cynecki MJ; Pratt MP; Beckley M
J Safety Res; 2021 Sep; 78():59-68. PubMed ID: 34399932
[TBL] [Abstract][Full Text] [Related]
15. Modelling severity of pedestrian-injury in pedestrian-vehicle crashes with latent class clustering and partial proportional odds model: A case study of North Carolina.
Li Y; Fan WD
Accid Anal Prev; 2019 Oct; 131():284-296. PubMed ID: 31351231
[TBL] [Abstract][Full Text] [Related]
16. A Bayesian multivariate hierarchical spatial joint model for predicting crash counts by crash type at intersections and segments along corridors.
Alarifi SA; Abdel-Aty M; Lee J
Accid Anal Prev; 2018 Oct; 119():263-273. PubMed ID: 30056203
[TBL] [Abstract][Full Text] [Related]
17. Pedestrian crash estimation models for signalized intersections.
Pulugurtha SS; Sambhara VR
Accid Anal Prev; 2011 Jan; 43(1):439-46. PubMed ID: 21094342
[TBL] [Abstract][Full Text] [Related]
18. Investigating factors influencing pedestrian injury severity at intersections.
Ma Z; Lu X; Chien SI; Hu D
Traffic Inj Prev; 2018 Feb; 19(2):159-164. PubMed ID: 28737957
[TBL] [Abstract][Full Text] [Related]
19. Rethinking safety in numbers: are intersections with more crossing pedestrians really safer?
Xu P; Xie S; Dong N; Wong SC; Huang H
Inj Prev; 2019 Feb; 25(1):20-25. PubMed ID: 29079580
[TBL] [Abstract][Full Text] [Related]
20. Macro-level safety analysis of pedestrian crashes in Shanghai, China.
Wang X; Yang J; Lee C; Ji Z; You S
Accid Anal Prev; 2016 Nov; 96():12-21. PubMed ID: 27475113
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
