On the public citation graph

Factors Contributing to the Relationship between Driving Mileage and Crash Frequency of Older Drivers

https://doi.org/10.3390/su11236643
0 signed · 54 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00116466openalex-snapshot
Bayesian image restoration, with two applications in spatial statistics
inferredcites →https://doi.org/10.1016/0001-4575(91)90048-aopenalex-snapshot
Accidents, mileage, and the exaggeration of risk
inferredcites →https://doi.org/10.1016/0001-4575(91)90057-copenalex-snapshot
An aggregate accident model based on pooled, regional time-series data∗
inferredcites →https://doi.org/10.1016/j.aap.2005.12.002openalex-snapshot
Older drivers do not have a high crash risk—A replication of low mileage bias
inferredcites →https://doi.org/10.1016/j.aap.2006.01.006openalex-snapshot
The influence of urban land-use on non-motorised transport casualties
inferredcites →https://doi.org/10.1016/j.aap.2006.11.003openalex-snapshot
An examination of the environmental attributes associated with pedestrian–vehicular crashes near public schools
inferredcites →https://doi.org/10.1016/j.aap.2007.04.001openalex-snapshot
Older drivers, medical condition, medical impairment and crash risk
inferredcites →https://doi.org/10.1016/j.aap.2007.10.012openalex-snapshot
‘Low mileage bias’ and related policy implications—A cautionary note
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.2008.08.027openalex-snapshot
In defence of the ‘low-mileage bias’
inferredcites →https://doi.org/10.1016/j.aap.2008.10.001openalex-snapshot
An area-level model of vehicle-pedestrian injury collisions with implications for land use and transportation planning
inferredcites →https://doi.org/10.1016/j.aap.2010.09.014openalex-snapshot
Pedestrian crash estimation models for signalized intersections
inferredcites →https://doi.org/10.1016/j.aap.2011.04.028openalex-snapshot
Are rural older drivers subject to low-mileage bias?
inferredcites →https://doi.org/10.1016/j.aap.2011.08.003openalex-snapshot
Macroscopic spatial analysis of pedestrian and bicycle crashes
inferredcites →https://doi.org/10.1016/j.aap.2012.06.016openalex-snapshot
Traffic analysis zone level crash estimation models based on land use characteristics
inferredcites →https://doi.org/10.1016/j.aap.2013.02.006openalex-snapshot
Findings from the Candrive/Ozcandrive study: Low mileage older drivers, crash risk and reduced fitness to drive
inferredcites →https://doi.org/10.1016/j.aap.2014.10.020openalex-snapshot
Modeling crash spatial heterogeneity: Random parameter versus geographically weighting
inferredcites →https://doi.org/10.1016/j.aap.2018.01.015openalex-snapshot
A cross-comparison of different techniques for modeling macro-level cyclist crashes
inferredcites →https://doi.org/10.1016/j.aap.2019.105259openalex-snapshot
Macro-level accident modeling in Novi Sad: A spatial regression approach
inferredcites →https://doi.org/10.1016/j.cities.2018.01.019openalex-snapshot
The S + 5Ds: Spatial access to pedestrian environments and walking in Seoul, Korea
inferredcites →https://doi.org/10.1016/j.cities.2019.01.017openalex-snapshot
Does polycentric and compact development alleviate urban traffic congestion? A case study of 98 Chinese cities
inferredcites →https://doi.org/10.1016/j.jsr.2017.10.011openalex-snapshot
A validation of the low mileage bias using naturalistic driving study data
inferredcites →https://doi.org/10.1016/j.jsr.2018.07.002openalex-snapshot
Crash risk by driver age, gender, and time of day using a new exposure methodology
inferredcites →https://doi.org/10.1016/s0001-4575(01)00107-5openalex-snapshot
Fragility versus excessive crash involvement as determinants of high death rates per vehicle-mile of travel among older drivers
inferredcites →https://doi.org/10.1016/s0001-4575(03)00058-7openalex-snapshot
The effect of infrastructure and demographic change on traffic-related fatalities and crashes: a case study of Illinois county-level data
inferredcites →https://doi.org/10.1016/s0001-4575(97)00037-7openalex-snapshot
Crash involvement rates by driver gender and the role of average annual mileage
inferredcites →https://doi.org/10.1016/s0198-9715(98)00034-9openalex-snapshot
The location of motor vehicle crashes in Honolulu: a methodology for geocoding intersections
inferredcites →https://doi.org/10.1080/0042098032000094441openalex-snapshot
Spatial Variation in Road Pedestrian Casualties: The Role of Urban Scale, Density and Land-use Mix
inferredcites →https://doi.org/10.1080/01944360902950349openalex-snapshot
Safe Urban Form: Revisiting the Relationship Between Community Design and Traffic Safety
inferredcites →https://doi.org/10.1080/01944363.2011.536101openalex-snapshot
Designing for the Safety of Pedestrians, Cyclists, and Motorists in Urban Environments
inferredcites →https://doi.org/10.1080/12265934.2017.1369452openalex-snapshot
Interactions between the built and socio-economic environment and driver demographics: spatial econometric models of car crashes in the Columbus Metropolitan Area
inferredcites →https://doi.org/10.1080/15389588.2017.1379601openalex-snapshot
Using naturalistic driving data to better understand the driving exposure and patterns of older drivers
inferredcites →https://doi.org/10.1080/19439961003687328openalex-snapshot
Development of Planning-Level Transportation Safety Models using Full Bayesian Semiparametric Additive Techniques
inferredcites →https://doi.org/10.1093/aje/kwx220openalex-snapshot
Risk-Exposure Density and Mileage Bias in Crash Risk for Older Drivers
inferredcites →https://doi.org/10.1136/ip.2006.011874openalex-snapshot
Influences on youthful driving behavior and their potential for guiding interventions to reduce crashes
inferredcites →https://doi.org/10.1177/0361198106195300107openalex-snapshot
Influence of Land Use, Population, Employment, and Economic Activity on Accidents
inferredcites →https://doi.org/10.1177/0739456x12468771openalex-snapshot
The Relationship between Community Design and Crashes Involving Older Drivers and Pedestrians
inferredcites →https://doi.org/10.18637/jss.v055.i13openalex-snapshot
CARBayes : An R Package for Bayesian Spatial Modeling with Conditional Autoregressive Priors
inferredcites →https://doi.org/10.3141/1840-10openalex-snapshot
Macrolevel Accident Prediction Models for Evaluating Safety of Urban Transportation Systems
inferredcites →https://doi.org/10.3141/1897-25openalex-snapshot
Forecasting Crashes at the Planning Level: Simultaneous Negative Binomial Crash Model Applied in Tucson, Arizona
inferredcites →https://doi.org/10.3141/2102-02openalex-snapshot
Predicting Segment-Intersection Crashes with Land Development Data
inferredcites →https://doi.org/10.3390/ijerph16020219openalex-snapshot
Investigating Spatial Autocorrelation and Spillover Effects in Freeway Crash-Frequency Data
inferredcites →https://doi.org/10.3390/su10113864openalex-snapshot
A Cask Evaluation Model to Assess Safety in Chinese Rural Roads
inferredcites →https://doi.org/10.3390/su11010160openalex-snapshot
Traffic Crash Evolution Characteristic Analysis and Spatiotemporal Hotspot Identification of Urban Road Intersections
inferredcites →https://doi.org/10.3390/su9091530openalex-snapshot
Risk Indicators and Road Accident Analysis for the Period 2012–2016

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4679161openalex-extracted
Collection Duration and Period of Driving Monitoring Data of Older Drivers
inferred← citeshttps://doi.org/10.1016/j.iatssr.2025.09.007openalex-snapshot
Collection duration of driving tracking data of older drivers
inferred← citeshttps://doi.org/10.1080/10903127.2022.2163327openalex-snapshot
A Retrospective, Single-Agency Analysis of Ambulance Crashes during a 3-Year Period: Association with EMS Driver Characteristics and a Telematics-Measured Safe Driving Score
inferred← citeshttps://doi.org/10.14246/irspsd.11.1_4openalex-snapshot
Analysis of Studies on Traffic Crashes Involving the Elderly:
inferred← citeshttps://doi.org/10.3390/ijerph18168327openalex-snapshot
Analysis and Prediction of Vehicle Kilometers Traveled: A Case Study in Spain
inferred← citeshttps://doi.org/10.3390/safety12030080openalex-snapshot
Can Knowledge of Taxi Drivers’ Intentions to Commit Traffic Violations Predict Crash Frequency?
inferred← citeshttps://doi.org/10.3390/su12083098openalex-snapshot
City-Level China Traffic Safety Analysis via Multi-Output and Clustering-Based Regression Models
inferred← citeshttps://doi.org/10.3390/su12155936openalex-snapshot
Classification of Inter-Urban Highway Drivers’ Resting Behavior for Advanced Driver-Assistance System Technologies using Vehicle Trajectory Data from Car Navigation Systems
inferred← citeshttps://doi.org/10.3390/su12198244openalex-snapshot
Analysis of Vehicle Breakdown Frequency: A Case Study of New South Wales, Australia
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.