Monthly Traffic Safety Analysis

72 CRASHES IN
BOURNE, MA
AUGUST 2022

All metrics benchmarked againstAugust 2021

Total crashes in BOURNE increased from 46 in August 2021 to 72 in August 2022, marking a 56.52% rise. The most notable year-over-year shift was the decrease in total fatalities, from 1 in August 2021 to 0 in August 2022.

72

56.5%was 46

Total Crash Events

0

-100.0%was 1

Persons Killed

19

26.7%was 15

Persons Injured

5

150.0%was 2

Hit-and-Run Crashes

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 3 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in BOURNE showed a significant upward trend year-over-year. The total number of crashes rose from 46 in August 2021 to 72 in August 2022, representing a 56.52% increase.

5

Hit-and-Run Crashes — August 2022

150.0% vs prior (2)

Hit-and-run crashes increased from 2 in August 2021 to 5 in August 2022, representing a 150% increase in count. The hit-and-run crash rate also rose from 4.3% to 6.9% year-over-year. This indicates an upward trend in hit-and-run incidents.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 1-100.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

18

Motorists Injured

Prior: 1520.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Monday in August 2021, with 10 crashes, to Wednesday in August 2022, with 15 crashes. The peak crash hour also moved from 3 PM, with 7 crashes in August 2021, to 5 PM, with 10 crashes in August 2022, indicating a shift in the busiest crash times.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Total fatalities decreased from 1 in August 2021 to 0 in August 2022, while total injuries increased from 15 to 19. Crashes resulting in serious injury increased from 0 to 1, minor injury from 5 to 7, and possible injury from 3 to 8. The fatal crash rate decreased from 2.17% in August 2021 to 0% in August 2022.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes1.4%
Minor Injury7minor injury crashes9.7%
40.0%prior 5
Possible Injury8possible injury crashes11.1%
166.7%prior 3
No Injury53no injury crashes73.6%
43.2%prior 37

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Followed too closely' increased from 6 in August 2021 to 13 in August 2022, a 116.67% increase in count. 'Failed to yield right of way' crashes also rose from 5 to 10, a 100% increase in count. Conversely, 'No improper driving' crashes decreased from 9 to 6, a 33.33% decrease in count.

Officer-Reported Primary Contributing Cause

Followed too closely13 (18.1%)116.7%prior 6
Failed to yield right of way10 (13.9%)100.0%prior 5
Failure to keep in proper lane or running off road8 (11.1%)
Inattention7 (9.7%)16.7%prior 6
No improper driving6 (8.3%)-33.3%prior 9
Operating defective equipment4 (5.6%)
Made an improper turn3 (4.2%)
Distracted2 (2.8%)
Disregarded traffic signs, signals, road markings2 (2.8%)
Other improper action1 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 39 in August 2021 to 61 in August 2022. Similarly, crashes during daylight increased from 40 to 60, and those on dry road surfaces rose from 43 to 63. The number of crashes under adverse weather conditions remained consistent at 4 for both periods.

Weather

Clear61 (87.1%)
56.4%prior 39
Cloudy5 (7.1%)
Rain2 (2.9%)
Rain/Cloudy1 (1.4%)
Rain/Fog, smog, smoke1 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Weather condition at time of crash

Lighting

Daylight60 (85.7%)
50.0%prior 40
Dark - lighted roadway7 (10.0%)
16.7%prior 6
Dark - roadway not lighted2 (2.9%)
Dusk1 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Lighting condition field

Road Surface

Dry63 (90.0%)
46.5%prior 43
Wet7 (10.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 89 in August 2021 to 136 in August 2022. Toyota remained the top vehicle make involved, increasing from 14 to 25, with Honda and Ford also showing increased involvement. The number of persons aged 65 and older involved in crashes increased from 27 to 34, and male persons involved increased from 54 to 85, surpassing female persons in August 2022.

Top Vehicle Makes (136 vehicles)

1
TOYOTA25 (18.4%)
78.6%prior 14
2
HONDA14 (10.3%)
100.0%prior 7
3
FORD14 (10.3%)
100.0%prior 7
4
CHEVROLET11 (8.1%)
120.0%prior 5
5
JEEP9 (6.6%)
50.0%prior 6
6
NISSAN5 (3.7%)
7
GMC5 (3.7%)
0.0%prior 5
8
LEXUS5 (3.7%)
9
SUBARU3 (2.2%)
-50.0%prior 6
10
KIA3 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Vehicle unit records

12 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (156 persons with recorded sex)

Male85 (54.5%)
57.4%prior 54
Female70 (44.9%)
20.7%prior 58
X / Unspecified1 (0.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 20 mph zones increased from 4 in August 2021 to 12 in August 2022, and in 25 mph zones from 12 to 18. Crashes in 65 mph zones decreased from 6 to 3. In August 2022, no fatalities were recorded across any speed zones, compared to 1 fatal crash in a 25 mph zone in August 2021.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Posted speed limit at crash location

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Massachusetts Crash Data (MassDOT CDV), accessed programmatically via the Arcgis_yearly Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

  • Access method: Arcgis_yearly Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2022-08-01 through 2022-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-08-01 through 2022-08-31 (31 days)
  • Geographic scope: BOURNE, MA
  • Total crash records analyzed: 72
  • Total persons involved: 181
  • Total vehicles involved: 136

Analytical Methodology

  • Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
  • Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
  • Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
  • Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
  • Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
  • Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
  • AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

  • Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
  • Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
  • Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
  • AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
  • Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "BOURNE, MA Crash Intelligence Report: August 2022." Published June 21, 2026. Reporting period: 2022-08-01 to 2022-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/bourne/august-2022-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

ThatCarHitMe.com · An Injuria.ai Company

Bourne, MA Crash Report — August 2022 | ThatCarHitMe.com