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Robinlovelace committed Jul 29, 2024
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[![R-CMD-check](https://github.com/ITSLeeds/opsnap/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/ITSLeeds/opsnap/actions/workflows/R-CMD-check.yaml)
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# Note

This package is in development and not yet on CRAN. If you would like to
use it, please install it from GitHub as shown below, and cite it as
follows:

Farrell, G., Lovelace, R., & O’Hern, S. (2024). Road User Video Evidence
of Road Traffic Offences: Preliminary Analysis of Operation Snap Data
and Suggestions for a Research Agenda.
https://doi.org/10.31235/osf.io/cgjmr

@misc{farrellRoadUserVideo2024,
title = {Road {{User Video Evidence}} of {{Road Traffic Offences}}: {{Preliminary Analysis}} of {{Operation Snap Data}} and {{Suggestions}} for a {{Research Agenda}}},
shorttitle = {{{ROAD USER VIDEO EVIDENCE OF ROAD TRAFFIC OFFENCES}}},
author = {Farrell, Graham and Lovelace, Robin and O'Hern, Steve},
year = {2024},
month = jul,
publisher = {OSF},
doi = {10.31235/osf.io/cgjmr},
urldate = {2024-07-29},
archiveprefix = {OSF},
langid = {american},
keywords = {antisocial driving,dangerous driving,near misses,Operation Snap,OpSnap,roas safety,Video evidence}
}

Read the full paper [here](https://osf.io/cgjmr/download/).

# Installation

Install the package from GitHub:
Expand All @@ -20,6 +47,7 @@ Data for the following years are provided:

| file_names |
|:---------------------------------------|
| operation_snap_april-june_2024_0.xlsx |
| operation_snap_jan-march_2024.xlsx |
| operation_snap_oct-dec_2023_0.xlsx |
| operation_snap_july-sept_2023.xlsx |
Expand Down Expand Up @@ -53,108 +81,109 @@ names(d_with_location)

| mode | make | model | colour | offence | district | disposal | date | location |
|:---|:---|:---|:---|:---|:---|:---|:---|:---|
| cyclist | honda | jazz | blue | rt88576 drive without reasonable consideration to others | bd | educational course | 2023-10-01 | a650 sir fred hoyle way, bingley |
| cyclist | citroen | ds3 | white | rt88576 drive without reasonable consideration to others | bd | educational course | 2023-10-01 | dalton bank road, huddersfield |
| vehicle driver | audi | s3 | black | rt88760 fail to comply with solid white lines | ld | educational course | 2023-10-01 | a1 north wetherby, leeds |
| vehicle driver | bmw | x3 | black | rt88966 motor vehicle fail to comply with endorsable s36 traffic sign | bd | educational course | 2024-01-01 | a6033 keighley road, hebden bridge |
| vehicle driver | nissan | qashqai | bronze | rt88576 drive without reasonable consideration to others | ld | educational course | 2024-01-01 | canal road, bradford |
| vehicle driver | seat | leon | white | rt88575 drive without due care and attention | ld | educational course | 2024-01-01 | roundabout, junction 31 m62, normanton |

# Preliminary analysis

There are 18363 records in the data, with increasing numbers of records
There are 20364 records in the data, with increasing numbers of records
over time (average n. records per month shown below):

<img src="man/figures/README-unnamed-chunk-9-1.png"
style="width:100.0%" />

As shown in the graph above not all (69.6%) records have values for the
As shown in the graph above not all (72.6%) records have values for the
‘location’ column.

The breakdown of all records by mode of transport (of the observer) is
shown below:

| mode | n | percent_records |
|:------------------|-----:|:----------------|
| vehicle driver | 9167 | 49.9% |
| cyclist | 6312 | 34.4% |
| pedestrian | 1352 | 7.4% |
| vehicle passenger | 579 | 3.2% |
| unknown | 497 | 2.7% |
| horse rider | 407 | 2.2% |
| motorcyclist | 48 | 0.3% |
| NA | 1 | 0.0% |
| mode | n | percent_records |
|:------------------|------:|:----------------|
| vehicle driver | 10145 | 49.8% |
| cyclist | 7069 | 34.7% |
| pedestrian | 1467 | 7.2% |
| vehicle passenger | 650 | 3.2% |
| unknown | 526 | 2.6% |
| horse rider | 456 | 2.2% |
| motorcyclist | 50 | 0.2% |
| NA | 1 | 0.0% |

The offence text strings are quite long, with the most common offences
shown below:

| offence | n | percent_records |
|:---|---:|:---|
| n/a | 5706 | 31.1% |
| rt88576 drive without reasonable consideration to others | 4992 | 27.2% |
| rt88575 drive without due care and attention | 2917 | 15.9% |
| rt88975 drive motor vehicle fail to comply with red / green arrow / lane closure traffic light signals | 1364 | 7.4% |
| rt88971 fail to comply with red traffic light | 679 | 3.7% |
| rt88966 motor vehicle fail to comply with endorsable s36 traffic sign | 411 | 2.2% |
| rv86019 use a handheld phone / device whilst driving a motor vehicle on a road | 357 | 1.9% |
| rt88760 fail to comply with solid white lines | 265 | 1.4% |
| rt88751 contravene give way sign | 264 | 1.4% |
| suspected contravene weight restriction. | 213 | 1.2% |
| n/a | 6375 | 31.3% |
| rt88576 drive without reasonable consideration to others | 5495 | 27.0% |
| rt88575 drive without due care and attention | 3254 | 16.0% |
| rt88975 drive motor vehicle fail to comply with red / green arrow / lane closure traffic light signals | 1555 | 7.6% |
| rt88971 fail to comply with red traffic light | 686 | 3.4% |
| rt88966 motor vehicle fail to comply with endorsable s36 traffic sign | 474 | 2.3% |
| rv86019 use a handheld phone / device whilst driving a motor vehicle on a road | 456 | 2.2% |
| rt88760 fail to comply with solid white lines | 288 | 1.4% |
| rt88751 contravene give way sign | 278 | 1.4% |
| rt88751 contravene mandatory direction arrows | 214 | 1.1% |

The equivalent table excluding records with missing location data is
shown below:

| offence | n | percent_records |
|:---|---:|:---|
| rt88576 drive without reasonable consideration to others | 4992 | 39.1% |
| rt88575 drive without due care and attention | 2917 | 22.8% |
| rt88975 drive motor vehicle fail to comply with red / green arrow / lane closure traffic light signals | 1364 | 10.7% |
| rt88971 fail to comply with red traffic light | 679 | 5.3% |
| rt88966 motor vehicle fail to comply with endorsable s36 traffic sign | 411 | 3.2% |
| rv86019 use a handheld phone / device whilst driving a motor vehicle on a road | 357 | 2.8% |
| rt88760 fail to comply with solid white lines | 265 | 2.1% |
| rt88751 contravene give way sign | 264 | 2.1% |
| suspected contravene weight restriction. | 213 | 1.7% |
| rt88751 contravene mandatory direction arrows | 212 | 1.7% |
| rt88576 drive without reasonable consideration to others | 5495 | 37.2% |
| rt88575 drive without due care and attention | 3254 | 22.0% |
| rt88975 drive motor vehicle fail to comply with red / green arrow / lane closure traffic light signals | 1555 | 10.5% |
| rt88971 fail to comply with red traffic light | 686 | 4.6% |
| rt88966 motor vehicle fail to comply with endorsable s36 traffic sign | 474 | 3.2% |
| rv86019 use a handheld phone / device whilst driving a motor vehicle on a road | 456 | 3.1% |
| rt88760 fail to comply with solid white lines | 288 | 1.9% |
| rt88751 contravene give way sign | 278 | 1.9% |
| rt88751 contravene mandatory direction arrows | 214 | 1.4% |
| suspected contravene weight restriction. | 213 | 1.4% |

The equivalent for cyclists, with location present and the least common
offences categorised as ‘other’, is shown below:

| offence | n | % of total |
|:---|---:|:---|
| rt88576 drive without reasonable consideration to others | 3713 | 78.7% |
| rt88575 drive without due care and attention | 517 | 11.0% |
| rv86019 use a handheld phone / device whilst driving a motor vehicle on a road | 174 | 3.7% |
| rt88975 drive motor vehicle fail to comply with red / green arrow / lane closure traffic light signals | 109 | 2.3% |
| rt88971 fail to comply with red traffic light | 56 | 1.2% |
| rt88751 contravene give way sign | 27 | 0.6% |
| other | 122 | 2.6% |
| rt88576 drive without reasonable consideration to others | 4124 | 78.0% |
| rt88575 drive without due care and attention | 568 | 10.7% |
| rv86019 use a handheld phone / device whilst driving a motor vehicle on a road | 238 | 4.5% |
| rt88975 drive motor vehicle fail to comply with red / green arrow / lane closure traffic light signals | 122 | 2.3% |
| rt88971 fail to comply with red traffic light | 57 | 1.1% |
| rt88751 contravene give way sign | 32 | 0.6% |
| rt88966 motor vehicle fail to comply with endorsable s36 traffic sign | 28 | 0.5% |
| other | 120 | 2.3% |

In terms ‘disposal’, the most common values are shown below:

| disposal | n | percent_records |
|:-------------------|-----:|:----------------|
| educational course | 9806 | 53.4% |
| nfa | 5697 | 31.0% |
| conditional offer | 2326 | 12.7% |
| court | 307 | 1.7% |
| dsit investigation | 202 | 1.1% |
| rpu investigation | 23 | 0.1% |
| fine | 1 | 0.0% |
| NA | 1 | 0.0% |

There are 8073 unique location text strings (addresses) in the data,
| disposal | n | percent_records |
|:-------------------|------:|:----------------|
| educational course | 10887 | 53.5% |
| nfa | 6365 | 31.3% |
| conditional offer | 2563 | 12.6% |
| court | 321 | 1.6% |
| dsit investigation | 202 | 1.0% |
| rpu investigation | 24 | 0.1% |
| fine | 1 | 0.0% |
| NA | 1 | 0.0% |

There are 8902 unique location text strings (addresses) in the data,
with the most common locations shown below:

| location | n | percent_records |
|:-----------------------------------------------|----:|:----------------|
| meanwood road, leeds | 73 | 0.6% |
| dewsbury road, ossett | 56 | 0.4% |
| park square west, leeds | 54 | 0.4% |
| chapeltown road, leeds | 43 | 0.3% |
| tongue lane, leeds | 38 | 0.3% |
| westgate j/w park square west, leeds | 38 | 0.3% |
| hollingwood lane, bradford | 34 | 0.3% |
| westgate junction with park square west, leeds | 33 | 0.3% |
| clayton road, bradford | 32 | 0.3% |
| highgate road, bradford | 32 | 0.3% |
| location | n | percent_records |
|:------------------------------------------------|----:|:----------------|
| meanwood road, leeds | 94 | 0.6% |
| dewsbury road, ossett | 64 | 0.4% |
| park square west, leeds | 59 | 0.4% |
| tongue lane, leeds | 52 | 0.4% |
| chapeltown road, leeds | 49 | 0.3% |
| clayton road, bradford | 43 | 0.3% |
| hollingwood lane, bradford | 41 | 0.3% |
| highgate road, bradford | 39 | 0.3% |
| westgate j/w park square west, leeds | 39 | 0.3% |
| carr hill road, upper cumberworth, huddersfield | 38 | 0.3% |

# Geocoding

Expand Down
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