Monthly Traffic Safety Analysis

30 CRASHES IN
REVERE, MA
FEBRUARY 2024

All metrics benchmarked againstFebruary 2023

In February 2024, Revere experienced 30 crashes, a significant decrease from the 76 crashes recorded in February 2023. This represents a 60.5% reduction in total crashes year-over-year, marking a notable improvement in traffic safety for the period.

30

▼ -60.5%was 76

Total Crash Events

0

Persons Killed

13

▼ -55.2%was 29

Persons Injured

0

▼ -100.0%was 4

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Revere showed a strong downward trend from February 2023 to February 2024. Total crashes decreased by 60.5%, falling from 76 to 30, and total injuries also saw a substantial reduction of 55.2%, from 29 to 13.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

13

Motorists Injured

Prior: 28↓-53.6%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes shifted year-over-year; February 2024 saw Wednesday as the peak day with 7 crashes, while February 2023 had Friday as its peak with 15 crashes. The peak hour also changed from 5p with 6 crashes in the prior period to 7a with 6 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both February 2023 and February 2024. Total injuries decreased from 29 to 13 year-over-year. While February 2023 reported 15 minor injuries and 8 possible injuries, February 2024 saw 6 minor injuries, 2 possible injuries, and introduced 1 serious injury crash.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes3.3%
Minor Injury6minor injury crashes20%
↓-60.0%prior 15
Possible Injury2possible injury crashes6.7%
↓-75.0%prior 8
No Injury21no injury crashes70%
↓-59.6%prior 52

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'No improper driving' decreased significantly from 19 crashes in February 2023 to 5 crashes in February 2024, a 73.7% reduction in count. 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' also decreased from 8 crashes to 2 crashes, while 'Inattention' remained constant at 5 crashes in both periods.

Officer-Reported Primary Contributing Cause

No improper driving5 (16.7%)↓-73.7%prior 19
Inattention5 (16.7%)→0.0%prior 5
Followed too closely3 (10%)
Exceeded authorized speed limit3 (10%)
Failure to keep in proper lane or running off road2 (6.7%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (6.7%)↓-75.0%prior 8
Over-correcting/over-steering2 (6.7%)
Driving too fast for conditions1 (3.3%)
Visibility obstructed1 (3.3%)
Other improper action1 (3.3%)↓-80.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring under 'Clear' weather conditions decreased from 49 in February 2023 to 26 in February 2024, and those on 'Dry' road surfaces decreased from 60 to 28. Similarly, crashes in 'Daylight' conditions dropped from 29 to 16, reflecting the overall reduction in total crash volume across various environmental conditions.

Weather

Clear26 (86.7%)
↓-46.9%prior 49
Rain2 (6.7%)
Cloudy1 (3.3%)
↓-90.0%prior 10
Fog, smog, smoke1 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Weather condition at time of crash

Lighting

Daylight16 (53.3%)
↓-44.8%prior 29
Dark - lighted roadway14 (46.7%)
↓-63.2%prior 38

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Lighting condition field

Road Surface

Dry28 (93.3%)
↓-53.3%prior 60
Wet2 (6.7%)
↓-80.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Road surface condition field

Vehicles & Demographics

The total number of persons involved in crashes decreased from 169 in February 2023 to 69 in February 2024. Toyota remained the top vehicle make involved, though its count decreased from 28 to 18, and Honda's involvement dropped from 18 to 9 year-over-year.

Top Vehicle Makes (59 vehicles)

1
TOYOTA18 (30.5%)
↓-35.7%prior 28
2
HONDA9 (15.3%)
↓-50.0%prior 18
3
NISSAN5 (8.5%)
↓-44.4%prior 9
4
CHEVROLET4 (6.8%)
↓-42.9%prior 7
5
FORD3 (5.1%)
↓-80.0%prior 15
6
BMW3 (5.1%)
7
HYUNDAI2 (3.4%)
↓-71.4%prior 7
8
CADI2 (3.4%)
9
DODGE2 (3.4%)
10
ACURA2 (3.4%)
↓-60.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Vehicle unit records

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

Sex Distribution (62 persons with recorded sex)

Male33 (53.2%)
↓-65.6%prior 96
Female29 (46.8%)
↓-51.7%prior 60

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 mph speed zone saw a substantial decrease from 25 in February 2023 to 7 in February 2024. Conversely, crashes in the 50 mph speed zone slightly increased from 4 to 5 year-over-year, while fatalities remained at 0 across all speed zones in both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · 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: 2024-02-01 through 2024-02-29
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-02-01 through 2024-02-29 (29 days)
  • Geographic scope: REVERE, MA
  • Total crash records analyzed: 30
  • Total persons involved: 69
  • Total vehicles involved: 59

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). "REVERE, MA Crash Intelligence Report: February 2024." Published June 21, 2026. Reporting period: 2024-02-01 to 2024-02-29. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/revere/february-2024-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

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Revere, MA Crash Report — February 2024 | ThatCarHitMe.com