211 related articles for article (PubMed ID: 33120184)
1. Spatial heterogeneity analysis of macro-level crashes using geographically weighted Poisson quantile regression.
Tang J; Gao F; Liu F; Han C; Lee J
Accid Anal Prev; 2020 Dec; 148():105833. PubMed ID: 33120184
[TBL] [Abstract][Full Text] [Related]
2. Geographically weighted negative binomial regression applied to zonal level safety performance models.
Gomes MJTL; Cunto F; da Silva AR
Accid Anal Prev; 2017 Sep; 106():254-261. PubMed ID: 28647486
[TBL] [Abstract][Full Text] [Related]
3. Modeling crash spatial heterogeneity: random parameter versus geographically weighting.
Xu P; Huang H
Accid Anal Prev; 2015 Feb; 75():16-25. PubMed ID: 25460087
[TBL] [Abstract][Full Text] [Related]
4. Spatial analysis of moving-vehicle crashes and fixed-object crashes based on multi-scale geographically weighted regression.
Tang X; Bi R; Wang Z
Accid Anal Prev; 2023 Sep; 189():107123. PubMed ID: 37257354
[TBL] [Abstract][Full Text] [Related]
5. A Spatial Autoregressive Quantile Regression to Examine Quantile Effects of Regional Factors on Crash Rates.
Yu T; Gao F; Liu X; Tang J
Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009547
[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. Predicting crash frequency for multi-vehicle collision types using multivariate Poisson-lognormal spatial model: A comparative analysis.
Hosseinpour M; Sahebi S; Zamzuri ZH; Yahaya AS; Ismail N
Accid Anal Prev; 2018 Sep; 118():277-288. PubMed ID: 29861069
[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. Do safety performance functions used for predicting crash frequency vary across space? Applying geographically weighted regressions to account for spatial heterogeneity.
Liu J; Khattak AJ; Wali B
Accid Anal Prev; 2017 Dec; 109():132-142. PubMed ID: 29065336
[TBL] [Abstract][Full Text] [Related]
10. Exploring the effect of road network, demographic, and land use characteristics on teen crash frequency using geographically weighted negative binomial regression.
Mathew S; Pulugurtha SS; Duvvuri S
Accid Anal Prev; 2022 Apr; 168():106615. PubMed ID: 35219106
[TBL] [Abstract][Full Text] [Related]
11. A geographically weighted regression to estimate the comprehensive cost of traffic crashes at a zonal level.
Hezaveh AM; Arvin R; Cherry CR
Accid Anal Prev; 2019 Oct; 131():15-24. PubMed ID: 31233992
[TBL] [Abstract][Full Text] [Related]
12. Geographically weighted machine learning for modeling spatial heterogeneity in traffic crash frequency and determinants in US.
Wang S; Gao K; Zhang L; Yu B; Easa SM
Accid Anal Prev; 2024 May; 199():107528. PubMed ID: 38447355
[TBL] [Abstract][Full Text] [Related]
13. Highway safety assessment and improvement through crash prediction by injury severity and vehicle damage using Multivariate Poisson-Lognormal model and Joint Negative Binomial-Generalized Ordered Probit Fractional Split model.
Wang K; Bhowmik T; Zhao S; Eluru N; Jackson E
J Safety Res; 2021 Feb; 76():44-55. PubMed ID: 33653568
[TBL] [Abstract][Full Text] [Related]
14. Investigating the different characteristics of weekday and weekend crashes.
Yu R; Abdel-Aty M
J Safety Res; 2013 Sep; 46():91-7. PubMed ID: 23932690
[TBL] [Abstract][Full Text] [Related]
15. Revisiting crash spatial heterogeneity: A Bayesian spatially varying coefficients approach.
Xu P; Huang H; Dong N; Wong SC
Accid Anal Prev; 2017 Jan; 98():330-337. PubMed ID: 27816012
[TBL] [Abstract][Full Text] [Related]
16. Development of planning level transportation safety tools using Geographically Weighted Poisson Regression.
Hadayeghi A; Shalaby AS; Persaud BN
Accid Anal Prev; 2010 Mar; 42(2):676-88. PubMed ID: 20159094
[TBL] [Abstract][Full Text] [Related]
17. Bayesian ranking of sites for engineering safety improvements: decision parameter, treatability concept, statistical criterion, and spatial dependence.
Miaou SP; Song JJ
Accid Anal Prev; 2005 Jul; 37(4):699-720. PubMed ID: 15949462
[TBL] [Abstract][Full Text] [Related]
18. Multi-level Bayesian analyses for single- and multi-vehicle freeway crashes.
Yu R; Abdel-Aty M
Accid Anal Prev; 2013 Sep; 58():97-105. PubMed ID: 23727550
[TBL] [Abstract][Full Text] [Related]
19. Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory.
Lord D; Washington SP; Ivan JN
Accid Anal Prev; 2005 Jan; 37(1):35-46. PubMed ID: 15607273
[TBL] [Abstract][Full Text] [Related]
20. Geographically weighted poisson regression under linear model of coregionalization assistance: Application to a bicycle crash study.
Ji S; Wang Y; Wang Y
Accid Anal Prev; 2021 Sep; 159():106230. PubMed ID: 34153640
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
