Predicting cellphone manipulation based on magnitude of speeding

OBJECTIVE: The current study was conducted to assess the relationship between speeding behavior and handheld cellphone manipulation on different roadway classes. METHODS: = 593,454 trips). We used negative binomial regression models to predict the cellphone manipulation rate based on the speed limit and an indicator for how fast the vehicle was traveling relative to that limit during free-flow travel. An interaction term between speed limit and speeding behavior was included with covariates for time of day, day type, and area type. Models for limited-access and primary/collector roads were estimated separately due to little overlap in speed limits. RESULTS: A 5 mph increase in speed relative to the limit was associated with an increase in cellphone manipulation, although the magnitude of this increase was nearly 4 times as great on limited-access roads as on primary/collector roads. Statistically significant interactions between speeding and speed limit showed that the relationship between speeding magnitude and cellphone manipulation rates was exacerbated on both road types when the speed limit was higher. CONCLUSIONS: Both the reduced complexity of higher speed roads and the tendency for some drivers to take multiple risks likely help explain why speeding and cellphone manipulation occur together. These findings could aid traffic law enforcement in identifying locations where enforcing speeding and handheld cellphone laws together would be most effective. Countermeasures that raise perceived roadway complexity may also reduce the likelihood of both phone manipulation and speeding.

Authors

Institutions

Publication Details

Journal
Traffic Injury Prevention
Published
2026-09-01
DOI
https://doi.org/10.1080/15389588.2026.2722339
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting cellphone manipulation based on magnitude of speeding

Ian J. Reagan, Samuel S. Monfort, Jessica B. Cicchino
Traffic Injury Prevention
Traffic and Road Safety
article

Predicting cellphone manipulation based on magnitude of speeding

Ian J. Reagan, Samuel S. Monfort, Jessica B. Cicchino
article en

Abstract

OBJECTIVE: The current study was conducted to assess the relationship between speeding behavior and handheld cellphone manipulation on different roadway classes. METHODS: = 593,454 trips). We used negative binomial regression models to predict the cellphone manipulation rate based on the speed limit and an indicator for how fast the vehicle was traveling relative to that limit during free-flow travel. An interaction term between speed limit and speeding behavior was included with covariates for time of day, day type, and area type. Models for limited-access and primary/collector roads were estimated separately due to little overlap in speed limits. RESULTS: A 5 mph increase in speed relative to the limit was associated with an increase in cellphone manipulation, although the magnitude of this increase was nearly 4 times as great on limited-access roads as on primary/collector roads. Statistically significant interactions between speeding and speed limit showed that the relationship between speeding magnitude and cellphone manipulation rates was exacerbated on both road types when the speed limit was higher. CONCLUSIONS: Both the reduced complexity of higher speed roads and the tendency for some drivers to take multiple risks likely help explain why speeding and cellphone manipulation occur together. These findings could aid traffic law enforcement in identifying locations where enforcing speeding and handheld cellphone laws together would be most effective. Countermeasures that raise perceived roadway complexity may also reduce the likelihood of both phone manipulation and speeding.

Traffic Injury Prevention
Insurance Institute for Highway Safety (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 11%
Traffic and Road Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.