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Bayesian spatial joint modeling of traffic crashes on an urban road network
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10260-010-0136-xopenalex-snapshot
Modeling road traffic crashes with zero-inflation and site-specific random effects
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The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions
inferredcites →https://doi.org/10.1016/j.aap.2002.05.001openalex-snapshot
Bayesian spatial and ecological models for small-area accident and injury analysis
inferredcites →https://doi.org/10.1016/j.aap.2005.12.003openalex-snapshot
Temporal transferability and updating of zonal level accident prediction models
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Spatial analysis of fatal and injury crashes in Pennsylvania
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Predicting motor vehicle collisions using Bayesian neural network models: An empirical analysis
inferredcites →https://doi.org/10.1016/j.aap.2007.12.003openalex-snapshot
Application of the Conway–Maxwell–Poisson generalized linear model for analyzing motor vehicle crashes
inferredcites →https://doi.org/10.1016/j.aap.2008.03.009openalex-snapshot
Modelling area-wide count outcomes with spatial correlation and heterogeneity: An analysis of London crash data
inferredcites →https://doi.org/10.1016/j.aap.2008.04.010openalex-snapshot
Predicting motor vehicle crashes using Support Vector Machine models
inferredcites →https://doi.org/10.1016/j.aap.2008.10.005openalex-snapshot
A note on modeling vehicle accident frequencies with random-parameters count models
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Markov switching negative binomial models: An application to vehicle accident frequencies
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Application of finite mixture models for vehicle crash data analysis
inferredcites →https://doi.org/10.1016/j.aap.2009.07.005openalex-snapshot
Modeling signalized intersection safety with corridor-level spatial correlations
inferredcites →https://doi.org/10.1016/j.aap.2009.11.002openalex-snapshot
Bias properties of Bayesian statistics in finite mixture of negative binomial regression models in crash data analysis
inferredcites →https://doi.org/10.1016/j.aap.2010.03.013openalex-snapshot
Multilevel data and Bayesian analysis in traffic safety
inferredcites →https://doi.org/10.1016/j.aap.2011.03.021openalex-snapshot
Exploring a Bayesian hierarchical approach for developing safety performance functions for a mountainous freeway
inferredcites →https://doi.org/10.1016/j.tra.2010.02.001openalex-snapshot
The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives
inferredcites →https://doi.org/10.1016/j.trb.2013.01.002openalex-snapshot
The heterogeneous effects of guardian supervision on adolescent driver-injury severities: A finite-mixture random-parameters approach
inferredcites →https://doi.org/10.1016/s0001-4575(02)00031-3openalex-snapshot
Comparison of road crashes incidence and severity between some French counties
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Traffic fatalities and injuries: the effect of changes in infrastructure and other trends
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Selecting exposure measures in crash rate prediction for two-lane highway segments
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The effect of infrastructure and demographic change on traffic-related fatalities and crashes: a case study of Illinois county-level data
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Estimating the safety performance of urban road transportation networks
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Modeling accident frequencies as zero-altered probability processes: An empirical inquiry
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Bayesian Measures of Model Complexity and Fit
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Developing Guidelines for Median Barrier Installation
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Hierarchical Modeling and Analysis for Spatial Data
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Hierarchical Modeling and Analysis for Spatial Data
inferredcites →https://doi.org/10.13140/rg.2.1.5097.1924openalex-snapshot
Spatial models in transport: a review and assessment of methodological issues
inferredcites →https://doi.org/10.17226/13891openalex-snapshot
Incorporating Safety into Long-Range Transportation Planning
inferredcites →https://doi.org/10.3141/1635-06openalex-snapshot
Evaluating Median Crossover Likelihoods with Clustered Accident Counts: An Empirical Inquiry Using the Random Effects Negative Binomial Model
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Artificial Neural Networks and Logit Models for Traffic Safety Analysis of Toll Plazas
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Modeling Traffic Crash-Flow Relationships for Intersections: Dispersion Parameter, Functional Form, and Bayes Versus Empirical Bayes Methods
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Forecasting Crashes at the Planning Level: Simultaneous Negative Binomial Crash Model Applied in Tucson, Arizona
inferredcites →https://doi.org/10.3141/1904-01openalex-snapshot
Part 1: Roadside Safety Design: Developing Guidelines for Median Barrier Installation: Benefit-Cost Analysis with Texas Data
inferredcites →https://doi.org/10.3141/1953-12openalex-snapshot
Crash Estimation at Signalized Intersections Along Corridors: Analyzing Spatial Effect and Identifying Significant Factors
inferredcites →https://doi.org/10.3141/2061-07openalex-snapshot
Analysis of Road Crash Frequency with Spatial Models
inferredcites →https://doi.org/10.3141/2083-10openalex-snapshot
Investigation of Safety Influence Area for Four-Legged Signalized Intersections
inferredcites →https://doi.org/10.3141/2136-11openalex-snapshot
Spatial Autocorrelation and Bayesian Spatial Statistical Method for Analyzing Intersections Prone to Injury Crashes
inferredcites →https://doi.org/10.3141/2148-04openalex-snapshot
County-Level Crash Risk Analysis in Florida: Bayesian Spatial Modeling
inferredcites →https://doi.org/10.3141/2165-03openalex-snapshot
Spatial Correlation in Multilevel Crash Frequency Models
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Temporal Analysis of Predictors of Pedestrian Crashes
inferred← citeshttps://doi.org/10.1177/03611981231209321openalex-snapshot
Using Aggregated Fine Geo-Resolution Vehicle Telemetric Data to Predict Crash Occurrence
inferred← citeshttps://doi.org/10.1177/03611981251324205openalex-snapshot
Modeling the Safety Performance of Freeway Horizontal and Crest Vertical Curve Combinations Using Hierarchical Negative Binomial Approaches with Temporal Correlation
inferred← citeshttps://doi.org/10.13052/jiems2446-1822.2017.003openalex-snapshot
Analysis of Vehicle Crash Injury-Severity in a Superhighway: A Markovian Approach
inferred← citeshttps://doi.org/10.1371/journal.pone.0214866openalex-snapshot
Roadway traffic crash prediction using a state-space model based support vector regression approach
inferred← citeshttps://doi.org/10.1371/journal.pone.0242762openalex-snapshot
Forecasting COVID-19 in Pakistan
inferred← citeshttps://doi.org/10.14295/transportes.v24i4.1110openalex-snapshot
Avaliação da dependência espacial na modelagem do desempenho da segurança viária em zonas de tráfego
inferred← citeshttps://doi.org/10.20868/upm.thesis.62778openalex-snapshot
Spatial Analysis of Traffic Accidents using GIS : the Case of Banda Aceh, Indonesia
inferred← citeshttps://doi.org/10.2139/ssrn.5765968openalex-snapshot
Analysis of the Role of Pedestrian Infrastructure in Pedestrian Accidents Using Machine Learning Algorithms: A Case Study of Isfahan City
inferred← citeshttps://doi.org/10.2174/1874447801913010065openalex-snapshot
A Review of the Traffic Accidents and Related Practices Worldwide
inferred← citeshttps://doi.org/10.2495/safe-v7-n1-1-9openalex-snapshot
Analysis of intrinsic factors contributing to urban road crashes
inferred← citeshttps://doi.org/10.3141/2601-08openalex-snapshot
Geographical Boundary Dependency Versus Roadway Hierarchy in Macroscopic Safety Modeling: Analysis with Motor Vehicle Crash Data
inferred← citeshttps://doi.org/10.3141/2601-12openalex-snapshot
Applications of Generalized Additive and Bayesian Hierarchical Models for Areal Safety Analysis: Case Study of an Urban Multimodal Transportation System in Chicago, Illinois
inferred← citeshttps://doi.org/10.31979/mti.2021.1920openalex-snapshot
Enhancement of Multimodal Traffic Safety in High-Quality Transit Areas
inferred← citeshttps://doi.org/10.3389/frsc.2020.00021openalex-snapshot
Identifying Changes in Bicycle Accident Trends Using GIS and Time Series Information in the City of Zürich
inferred← citeshttps://doi.org/10.3390/app13031270openalex-snapshot
A Unified Approach for Risk Assessment of Road Crash Barriers Using Bayesian Statistics
inferred← citeshttps://doi.org/10.3390/ijerph16020219openalex-snapshot
Investigating Spatial Autocorrelation and Spillover Effects in Freeway Crash-Frequency Data
inferred← citeshttps://doi.org/10.3390/ijerph18094498openalex-snapshot
Unraveling Urban Form and Collision Risk: The Spatial Distribution of Traffic Accidents in Zanjan, Iran
inferred← citeshttps://doi.org/10.3390/ijgi13030075openalex-snapshot
Bayesian Shared Component Spatial Modeling for Assessing the Shared and Age Group-Specific Mental Health Disorder Risk of Young and Old Age Groups: A Case Study of Toronto Neighborhoods, Canada
inferred← citeshttps://doi.org/10.3390/su12176735openalex-snapshot
Development of a Binary Classification Model to Assess Safety in Transportation Systems Using GMDH-Type Neural Network Algorithm
inferred← citeshttps://doi.org/10.3390/su12208681openalex-snapshot
Discovering Spatio-Temporal Clusters of Road Collisions Using the Method of Fast Bayesian Model-Based Cluster Detection
inferred← citeshttps://doi.org/10.3390/su12229621openalex-snapshot
Feature Extraction and Representation of Urban Road Networks Based on Travel Routes
inferred← citeshttps://doi.org/10.3390/su151310730openalex-snapshot
Accident Rate Prediction Model for Urban Expressway Underwater Tunnel
inferred← citeshttps://doi.org/10.3846/bm.2022.847openalex-snapshot
Impact of transport infrastructure on factors affecting traffic accidents in urban traffic: green supply chain issue
inferred← citeshttps://doi.org/10.7307/ptt.v32i4.3385openalex-snapshot
Factors Influencing Crash Frequency on Colombian Rural Roads
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