ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · SPRINGFIELD, MA · OCTOBER 2022
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/springfield/october-2022-report
Monthly Traffic Safety Analysis
352 CRASHES IN
SPRINGFIELD, MA
OCTOBER 2022
In October 2022, SPRINGFIELD, MA recorded 352 total crashes, marking a 15.8% decrease compared to the 418 crashes reported in October 2021. The most significant year-over-year shift was the increase in total fatalities from 0 in October 2021 to 1 in October 2022.
352
▼ -15.8%was 418
Total Crash Events
1
Persons Killed
197
▼ -17.2%was 238
Persons Injured
40
▼ -21.6%was 51
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 22 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, traffic crashes in SPRINGFIELD, MA showed a downward trend in October 2022 compared to the previous year, with total crashes decreasing by 15.8% from 418 to 352. Concurrently, total injuries decreased by 17.2% from 238 to 197. However, the period saw an increase in total fatalities, rising from 0 in October 2021 to 1 in October 2022.
40
Hit-and-Run Crashes — October 2022
▼ -21.6% vs prior (51)
The number of hit-and-run crashes decreased from 51 in October 2021 to 40 in October 2022. The hit-and-run crash rate also saw a slight decrease, moving from 12.2% of all crashes in the prior period to 11.4% in the current period, indicating a downward trend.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
6
Pedestrians Injured
1
Cyclists Injured
190
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak day for crashes remained Saturday in both periods, though the number of crashes on Saturdays decreased from 74 in October 2021 to 65 in October 2022. The peak hour also remained consistent at 3 PM, with crash counts decreasing from 36 to 31. Notable shifts include a decrease in crashes on Tuesdays (71 to 52) and Sundays (68 to 38), while crashes increased on Thursdays (40 to 44).
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Fatal crashes increased from 0 in October 2021 to 1 in October 2022, resulting in a fatal crash rate of 0.28% for the current period. While total injuries decreased from 238 to 197, serious injuries (Severity A) saw a decrease in count from 13 to 8, and a decrease in proportion from 3.1% to 2.3% of all crashes. Conversely, crashes with no injury (Severity O) increased as a proportion of total crashes, from 52.2% to 57.4%.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Most severe injury per crash record
Top Contributing Factors
The top contributing factors, 'Inattention' and 'Failed to yield right of way', both saw decreases in crash counts. 'Inattention' decreased by 22 crashes (22.9% change in count) from 96 to 74, while 'Failed to yield right of way' decreased by 16 crashes (23.2% change in count) from 69 to 53. Conversely, 'Failure to keep in proper lane or running off road' increased by 11 crashes (57.9% change in count) from 19 to 30, and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' increased by 6 crashes (66.7% change in count) from 9 to 15.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The distribution of crashes by weather conditions showed a decrease in crashes occurring during rain, falling from 74 in October 2021 to 33 in October 2022. Similarly, crashes on wet road surfaces decreased from 131 to 80 year-over-year. Crashes occurring in daylight also decreased from 241 to 204, and those in dark-lighted roadway conditions decreased from 153 to 126.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes decreased from 798 in October 2021 to 684 in October 2022. Top vehicle makes like Toyota, Honda, and Nissan all saw fewer involvements, with Toyota decreasing from 137 to 104 and Honda from 114 to 96. Across all age groups, there was a decrease in the number of persons involved in crashes year-over-year, most notably in the 21-25 age group, which dropped from 167 to 111.
Top Vehicle Makes (684 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Vehicle unit records
115 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (781 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes in 30 mph zones decreased from 153 in October 2021 to 127 in October 2022, while crashes in 25 mph zones also decreased from 125 to 91. Conversely, crashes in 35 mph zones saw a slight increase from 84 to 90. A fatal crash occurred in a 30 mph zone in October 2022, where no fatal crashes were recorded in any speed zone in October 2021.
Fatal crashes by zone: 30 mph: 1 of 127 (0.787%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-10-01 to 2022-10-31 · 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: 2022-10-01 through 2022-10-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-10-01 through 2022-10-31 (31 days)
- Geographic scope: SPRINGFIELD, MA
- Total crash records analyzed: 352
- Total persons involved: 906
- Total vehicles involved: 684
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). "SPRINGFIELD, MA Crash Intelligence Report: October 2022." Published June 21, 2026. Reporting period: 2022-10-01 to 2022-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/springfield/october-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
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2022-10-01 – 2022-10-31
Generated: June 21, 2026 · All rights reserved