Skip to main content

City of Concord Comprehensive Safety Action Plan (CSAP)

The City of Concord is committed to eliminating traffic fatalities and severe injuries on our streets. We are developing a data-driven plan to identify high-risk locations and implement proven strategies that improve safety for all road users.

About the Project

Building Safer Streets for Every Road User

Through the Safe Streets and Roads for All (SS4A) program, Concord is combining crash data, roadway analysis, and community engagement to prioritize investments that improve safety for all.

📊
Data-Driven Analysis
Five years of collision records reveal high-injury corridors, intersections, and patterns across the City.
🗣️
Community Engagement
Residents across all neighborhoods share lived safety experiences that complement the crash data.
🚶
All Road Users
The plan addresses pedestrians, cyclists, seniors, transit riders, and drivers at the highest-risk locations.
🔧
Actionable Projects
Specific, fundable improvements — crosswalks, signals, lighting, bike lanes — prioritized by safety impact.
🛡️
Safe System Approach
Streets designed so that human errors don't result in death, making the system more forgiving for all.
🤝
Federal Partnership
SS4A funding positions Concord for future implementation grants to deliver real capital improvements.

Vision Zero: Our Commitment to Safer Streets

Traffic deaths are not inevitable. By combining rigorous data analysis, community input, and proven engineering strategies, Concord is taking a proactive approach to making our streets safer for every person who uses them.

~0
Fatalities Goal
Federally Funded: This plan is supported by the U.S. Department of Transportation's Safe Streets and Roads for All (SS4A) grant program. Learn more ↗ (opens in new window)
Project Area

Concord Study Area Map

The CSAP covers the full extent of Concord's city limits (~31 sq mi), with a focused analysis on the High Injury Network — corridors and intersections with the greatest concentration of severe and fatal collisions.

City of Concord Study Area Map
📍 City of Concord, Full City Limits
~31
Square Miles
City streets analyzed
~122K
Residents Served
By this plan
5 yrs
Data Reviewed
2021–2025
All
Road Users
Drivers, peds, cyclists & more
Community Input

Outreach Events

Join us at upcoming community meetings to share your feedback on traffic safety in Concord. All events are open to the public.

Community Survey — Closed
The community survey closed on April 20, 2026. Thank you to everyone who participated.
View Survey →
Community Outreach Meeting — Completed
Your streets. Your voice.
Community outreach meeting completed for the Concord Comprehensive Safety Action Plan (CSAP).
Location:5298 Clayton Rd, Concord, CA 94521
Date:Monday, March 30, 2026
Time:6:00 PM
March
30
6 PM
2026
COMPLETED
Virtual Community Outreach Meeting — Completed
Your voice matters. Thank you for joining.
Virtual community outreach meeting completed for the Concord Comprehensive Safety Action Plan (CSAP).
Location:Zoom
Date:Monday, April 13, 2026
Time:6:00 PM
April
13
6 PM
2026
COMPLETED
Virtual Community Outreach Meeting — Completed
Your feedback shaped this plan. See what's next.
Virtual community outreach meeting to present the draft recommendations from the Concord Comprehensive Safety Action Plan (CSAP).
Location:Zoom
Date:Monday, May 4, 2026
Time:6:00 PM
May
4
6 PM
2026
COMPLETED
Bicycle & Pedestrian Advisory Committee — Completed
Walking, biking, and the road ahead.
Bicycle and Pedestrian Advisory Committee (BPAC) meeting presenting the Concord Comprehensive Safety Action Plan (CSAP) recommendations.
Location:Permit Center Conference Room, 1950 Parkside Drive, Concord
Date:Wednesday, May 6, 2026
Time:6:00 PM
May
6
6 PM
2026
COMPLETED
City Council Meeting — Completed
Council consideration of the Safety Action Plan.
Concord City Council adopted the Comprehensive Safety Action Plan (CSAP) at this meeting.
Location:Concord City Hall, 1950 Parkside Drive, Concord
Date:Tuesday, May 12, 2026
Time:6:30 PM
May
12
6:30 PM
2026
COMPLETED
📬 Stay Notified About Events
Event dates will be confirmed and posted here. Subscribe to the City's eNewsletter or contact the project team to be added to the mailing list.
Contact Project Team City Website
Community Input

Community Survey Report

Results from the Concord CSAP Community Safety Survey — 651 responses collected March 11 – April 20, 2026.

What Concord Residents Shared

651 residents shared experiences, observations, and priorities for traffic safety. This report summarizes findings from the CSAP public engagement process and references them alongside five years of collision records.

651
Responses
74%
Reported Incident
71%
School Zone Concern
51%
Want Enforcement
68%
Cite Speeding
Speeding & Signal Violations
Speeding (68%) and red light / signal violations (59%) were the two most cited concerns across all respondent groups.
School Zone Safety
71% noted school-zone concerns. Speeding near schools (41%), drop-off congestion (38%), and double-parking (29%) were the top issues.
Enforcement — Top Preference
51% selected increased police enforcement as their most preferred improvement — the highest selection rate of any option.
Pedestrian Crossing Conditions
Yield compliance at crosswalks (37%) and turning vehicle conflicts (32%) were the most cited pedestrian concerns.
E-Bike Conditions Cited
23% cited e-bike operation as a concern — a pattern not yet fully captured in historical collision data.
Afternoon & Morning Peaks
62% identified afternoon (3–6 PM) as elevated concern for drivers; 58% identified morning (6–9 AM). Aligns with peak KSI periods.

Who Responded

651 responses collected March 11 – April 20, 2026. Top ZIP code: 94521 (36%). 91% responded in English. 69 respondents (11%) identified a disability or mobility limitation.

Age Distribution
65 and older
28%
184
55–64
20%
129
45–54
17%
113
35–44
17%
110
25–34
8%
50
18–24
0%
2

48% of respondents aged 55 or older · 34% aged 35–54 · 8% under 35

Respondents by ZIP Code
94521 (Clayton / E. Concord)
36%
237
94518 (Central Concord)
27%
173
94519 (N. Concord)
19%
121
94520 (W. Concord / Pacheco)
12%
78
Other / Outside Concord
6%
42

Overall Safety Concerns

Multi-select — percentages represent share of all 651 respondents citing each concern.

68%
Speeding
441 respondents
59%
Signal Violations
384 respondents
39%
Distracted Driving
256 respondents
23%
E-Bike Concerns
153 respondents
All Safety Concerns
n=651 · bars show % citing each
Speeding
68%
441
Signal violations
59%
384
Distracted driving
39%
256
E-bike operation
23%
153
Tailgating
13%
87
Visibility / lighting
12%
81

Driver-Specific Concerns

Driver Concerns — % of Respondents
Speeding
60%
388
Signal violations
52%
338
Distracted driving
24%
156
Road conditions
19%
124
Pedestrian Concerns — % of Respondents
Yield compliance at crosswalks
37%
241
Turning vehicle conflicts
32%
211
Missing sidewalks
19%
121
Missing crossings
13%
83
Bicycle Safety Concerns
Cyclists not following rules
26%
170
No bike lanes
18%
114
Poor road conditions
15%
99
No safe routes
13%
85

Corridors Most Often Noted

Unprotected left turns on Clayton Road, Treat Boulevard, Concord Boulevard, and Ygnacio Valley Road were noted frequently in open-ended responses.

71%
noted school-zone concerns
35%
described as very concerned
36%
described as somewhat concerned
Driver Conditions at Schools
Speeding near schools
41%
269
Traffic backup at drop-off
38%
250
Double-parking
29%
190
Pedestrian Conditions at Schools
Yield compliance at school crossings
32%
208
Child pedestrian crossing patterns
21%
137
Bicycle Conditions at Schools
Speeding near bike routes to school
19%
125
No bike route to school
18%
119
Conflicts between bikes and vehicles
16%
102
Two Distinct Concern Profiles
"Very concerned" respondents most cited vehicle speed; "somewhat concerned" most cited drop-off congestion — distinct primary issues within the school-zone category.
Schools Most Named in Open Responses
Ayers Elementary (Ygnacio Valley / Clayton corridor), Monte Gardens Elementary, Glenbrook Middle School, and CVCHS. Recurring themes: drop-off congestion, parking during school hours, crossing conditions at approaches.

Open-text responses identified specific locations cited with elevated frequency. These align closely with the CSAP High Injury Network corridors identified through collision data analysis.

Most Frequently Cited Corridors
Open-text mentions · aligned with CSAP High Injury Network

Most Cited Intersections

LocationPrimary Concern
Treat Blvd / Oak GroveSpeeding, signal timing, cut-through
Clayton Rd / Treat BlvdTraffic backup, lane weaving
Cowell Rd / Treat BlvdUnprotected left turns, signal violations
Galindo St / Clayton RdSpeeding, visibility, pedestrian conflicts
Port Chicago / Willow PassSpeed, signal sequencing, freight
Survey–Data Geographic Alignment
Every corridor cited 5+ times in open-text corresponds to a corridor on the CSAP High Injury Network.
62%
Afternoon (3–6 PM)
Drivers — highest
58%
Morning (6–9 AM)
Drivers — second
35%
School Hours
Drivers — third
20%
Evening (6–10 PM)
Peds — elevated
Time PeriodDriversPedestriansCyclistsAlignment
Afternoon (3–6 PM)62% · 40533% · 21826% · 169HIGHEST
Morning (6–9 AM)58% · 37829% · 19120% · 129HIGH
School Hours35% · 22628% · 18217% · 109MODERATE
Evening (6–10 PM)23% · 15220% · 13313% · 87PED ELEVATED
Late Night (10 PM+)14% · 939% · 597% · 46LOWEST
Late-Night: Low Survey Response, Higher Data Rate
Late-night hours (10 PM+) received the lowest concern ratings. Yet collision data shows dark conditions present in a substantial share of fatal collisions — KSI rate for pedestrian collisions at night reaches 42.3%.

Enforcement was the most frequently selected option in every geographic focus area except poor-lighting zones.

Citywide Improvement Requests
Increased police enforcement
51%
334
Pedestrian signal upgrades
39%
251
High-visibility crosswalks
34%
219
Speed feedback signs
27%
173
Bike lane additions
22%
146
Street lighting improvements
21%
137
Top Improvement by Focus Area
Focus Arean#1 Request#2 Request
Crash intersections353Enforcement (62%)Ped signals (45%)
Commercial corridors231Enforcement (57%)Ped signals (43%)
Residential streets216Enforcement (54%)Hi-vis crosswalks (41%)
Schools & parks202Enforcement (50%)Ped signals (42%)
Poor lighting areas66Lighting (74%)Ped signals (46%)
Only Exception
Poor lighting areas is the only category where a non-enforcement measure outranked enforcement — lighting (74%) was selected most frequently.

Survey findings directly supported by collision records from 2021–2025. Collision records reflect documented outcomes; survey figures reflect resident-reported observations.

Speeding & Signal Violations
CONFIRMED BY DATA
Survey: 68% cite speeding; 59% cite signal violations.

Collision data: Unsafe speed and signals/signs are top two PCF categories in KSI collisions — 28% of all KSI events.
HIN Corridors Match Resident Citations
CONFIRMED BY DATA
Survey: Clayton Road, Willow Pass Road, Treat Boulevard, Ygnacio Valley Road, Monument Boulevard most cited.

Collision data: Clayton (16 KSI), Willow Pass (17 KSI), Treat (12 KSI), Monument (12 KSI) are top HIN corridors.
PM Peak — Highest Concern
CONFIRMED BY DATA
Survey: 62% identified afternoon (3–6 PM) as highest concern.

Collision data: PM peak (4–7 PM) is the single highest-KSI window — 33 of 164 KSI events over five years.
Pedestrian Crossing Conditions
CONFIRMED BY DATA
Survey: Yield failures (37%) and turning conflicts (32%) are top pedestrian concerns.

Collision data: Pedestrian collisions carry a 19.3% KSI rate — more than twice the 9.1% citywide average.

New or Divergent Findings

E-Bike Conditions — Emerging
NEW — Not in collision data
23% cited e-bike operation as a concern. Open-text references sidewalk riding near schools and park trails. Historical collision records do not disaggregate e-bike involvement.
Late-Night — Low Survey, High Data
DIVERGES FROM DATA
Only 14% of drivers identified late night as elevated concern. But collision data shows KSI rate for pedestrian collisions at night reaches 42.3% — well above citywide average.
School Zone Conditions — New Detail
NEW — Survey exceeds data signal
71% noted school-zone concerns — the single most cross-cutting theme. Drop-off congestion (38%) and double-parking (29%) emerged as distinct issues not captured in SWITRS data.
Disability Respondents — Distinct Needs
NEW — Equity dimension
69 respondents (11%) identified a disability. This group cited missing sidewalks at a higher rate and selected hi-vis crosswalks and enforcement as top preferences.

Survey and Collision Data Together

The collision record documents where and when crashes occur. The community survey captures resident-reported observations including school-zone conditions, e-bike concerns, and equity dimensions. Together, the two sources describe the safety landscape from complementary perspectives.

Project Area

Report a Safety Concern

Click anywhere on the map to pin a safety concern at that location. The shaded area shows the City of Concord boundary. You can submit anonymously or provide your details.

How to use: Click anywhere on the map to drop a pin and open the report form. Zoom and pan to find your location.

Sample Concerns to Report
Unsafe for walking or biking along this segment
Vehicles don't stop at this stop-controlled intersection
Speeding vehicles on a residential street
No safe place to cross this major arterial
Poor sight lines at this intersection
Note: The City may disclose certain information under applicable open records laws.
Community Survey — Closed
The community safety survey closed on April 20, 2026. Thank you to all who participated.
Community Input

Provide Feedback

Have a comment, question, or specific safety concern? Use the form below to reach the City's SS4A project team directly. Your input helps shape the Comprehensive Safety Action Plan.

✓ Thank you! Your feedback has been received. We'll be in touch if we have follow-up questions.

About Your Feedback

All comments are reviewed by the project team. The City may be required to disclose certain information under public records obligations.

Project Contacts

AP
Abhishek Parikh
Deputy Director, Public Works
abhishek.parikh@cityofconcord.org (925) 671-3139
VP
Virendra Patel, TE
Transportation Program Manager
virendra.patel@cityofconcord.org (925) 671-3129

Survey Report Available

The community survey has closed. View the Survey Report for results from 651 responses.

Collision History · 2021–2025

Collision Data Overview

Collision data sourced from the Transportation Injury Mapping System (TIMS) and Concord Police Department, January 2021 – December 2025. 2025 data is provisional.

164
KSI Collisions
Killed or Severely Injured
19
Fatal Collisions
20 lives lost
145
Severe Injury
Incapacitating injuries
1,804
Total Collisions
All severity levels
46
🚶 Pedestrian KSI
21
🚲 Bicycle KSI
31
🏍️ Motorcycle KSI
37
🍺 Alcohol-Related KSI
64
🌙 Nighttime KSI
23
🚨 Hit & Run KSI
Fatal (19)
Severe Injury (164)
Pedestrian KSI (46)
Bicycle KSI (21)
Alcohol-Related KSI (37)
Source: TIMS / CPD · Jan 2021–Dec 2025 · 2025 provisional
Collisions by Year · 2021–2025
Concord collisions by year, 2021–2025
YearTotal CollisionsFatal (K)Severe Injury (A)KSI TotalLives Lost
2021315430345
2022383732397
2023382226282
2024383128291
2025341529345
Total1,8041914516420
City of Concord · Traffic Safety · January 2021 – December 2025

Traffic Safety in Concord

An analysis of 1,804 injury collisions recorded on Concord city streets between 2021 and 2025, using data from the Concord Police Department and the California statewide collision database. Explore patterns, trends, and contributing factors across the full roadway network.

1,804
Injury Collisions
164
KSI Events
20
Persons Killed
9.1%
KSI Rate
5 yrs
Study Period
Overview

What the Data Is Telling Us

Five years of collision records reveal patterns that are consistent and measurable across time, location, and contributing factors. The analysis spans ten analytical dimensions — from temporal and spatial distribution to compound risk interactions and demographic patterns.

📉
Fatalities Down 37%
Fatal collisions have declined significantly — from an average of 6.0 per year before 2020 to 3.8 per year in 2021–2025. That represents 11 fewer fatalities over the five-year post-pandemic period.
🚶
VRU Severity Concentration
Pedestrians, cyclists, and motorcyclists represent 26% of collision involvements but 60% of KSI outcomes. When dark conditions are added, the KSI rate for pedestrian collisions reaches 42%.
🚲
Bicycle Safety
Bicycle collisions recorded a 14.1% KSI rate over the five-year period. The annual rate has varied — from 2.8% in 2024 to higher levels in other years — and 89% of bicycle KSI occurred at or near intersections, consistent with the citywide intersection safety pattern.
🚦
Signal Intersections
57% of all collisions occur at signalized intersections, contributing 89 KSI events between 2021 and 2025. Broadside and rear-end collisions at signals total 724 — the single largest crash scenario by volume.
🌙
Lighting as a Factor
Dark conditions are present in 63% of all fatal collisions and contribute to a 42%+ KSI rate for pedestrian encounters at night — nearly five times the citywide average.
Positive Trend
Alcohol-involved collisions dropped 50% from 2023 to 2025 (60→30). This is the largest single-factor improvement observed in the 2021–2025 dataset.
KSI Rate & Volume by Year
Blue bars = KSI count by year · Yellow line = KSI rate %. 2023 and 2024 showed the lowest rates of the period, with 2025 returning closer to prior levels.
Injury Collisions by Year
Annual totals showing elevated 2022–2024 period with improvement in 2025. All yearly totals confirmed against source data.
42.3%
KSI Rate
Pedestrian in dark conditions
84%
At Intersections
All intersections (signalized + unsignalized)
25.4%
Moto KSI Rate
2.8× citywide average
213
H&R Collisions
11.8% of all crashes
Fatal Collisions

Fatal Collisions — 19 Events, 20 Lives Lost

The 19 fatal collisions recorded between 2021 and 2025 show concentrated patterns across three factors: lighting conditions, pedestrian involvement, and alcohol — each present in roughly one-third of events. The data profiles these events across time, location, contributing factors, and victim demographics.

19
Fatal Collision Events
2021–2025
20
Total Persons Killed
(one event = 2 fatalities)
7.3%
Best KSI Rate
2023 — lowest of study period
KSI Rate vs. Total Collisions — 5-Year Trend
Line = KSI rate % (right axis) · Bars = total injury collisions (left axis). KSI rate improved notably in 2023 and 2024 — the two best years on record. Total collision volume also declined over the period.
Fatal Collisions by Mode
Pedestrians account for 37% of fatalities despite representing ~5% of vehicle miles traveled.
Fatal Collisions by Lighting
63% of fatal events occurred in dark conditions — even where street lighting was present.

The Three Priority Levers

Across 19 fatal events, three independent contributing dimensions each appear in roughly one-third of cases. Some events involve multiple factors simultaneously, indicating overlapping risk profiles.

💡
Lighting Conditions
Present in 12 of 19 fatal events (63%)
Dark conditions are the single most prevalent factor in fatal collisions. Notably, 9 of the 12 dark-condition fatalities occurred where street lighting was recorded as present — indicating that lighting presence alone does not eliminate severe crash risk in these locations.
🚶
Pedestrian Involvement
Present in 7 of 19 fatal events (37%)
Pedestrians account for 37% of all traffic fatalities despite representing a small fraction of total vehicle miles traveled. Vehicle-striking-pedestrian is the most common fatal collision type at 8 events. Monument Boulevard, Clayton Road, and Willow Pass Road recorded the highest pedestrian fatal and severe injury concentrations among all city corridors.
🍺
Alcohol Involvement
Present in 7 of 19 fatal events (37%)
Alcohol is recorded in more than one-third of fatal collisions. An alcohol-involved crash is 3.9× more likely to result in a fatality than a non-alcohol crash (3.0% vs 0.76% fatal rate). Alcohol-involved collisions peaked in 2023 at 60 events before declining to 30 in 2025 — a 50% reduction that represents the strongest positive trend in the data and supports further analysis to understand sustainability.
📌
Key Analytical Note
Hit-and-run behavior was recorded in 4 of 19 fatal events (21%). While the crash mechanism and contributing factors in those cases may align with the three patterns above, the driver's departure from the scene introduces additional response and investigation complexity not captured by the primary collision factor coding.
Fatal Collisions by Year — With Contributing Factor Breakdown
2022 had 7 fatal events (highest year). 2024 had 1 (lowest). 2025 recorded 5 fatal events.
Severity

Severity Landscape

Of 1,804 injury collisions recorded between 2021 and 2025, 164 (9.1%) resulted in killed or severely injured (KSI) outcomes — 19 fatal collisions and 145 severe injuries. Tracking the KSI rate over time shows whether safety on Concord's streets is improving.

19
Fatal Collisions
Severity 1 · 20 persons killed
145
Severe Injury
Severity 2 · Core KSI metric
427
Visible Injury
Severity 3 · 23.7% of total
1,213
Complaint of Pain
Severity 4 · 67.2% of total
Severity Distribution (Donut)
KSI collisions (shaded) = 9.1% of all injury collisions. The KSI rate is the primary metric for tracking safety performance.
KSI Rate Trend — 2021 to 2025
2023–2024 showed measurable improvement. 2025 data shows the rate returning to 2021 levels.

Intersection vs. Roadway Segment

84% of all injury collisions (1,518 events) occur at or within 250 feet of an intersection — whether signalized or unsignalized. At the KSI level, intersections account for 86.6% of KSI events and 84.2% of fatal collisions — a consistent pattern across every severity category that prioritizes intersection safety as the primary programmatic focus.

Severity LevelIntersectionRoadway SegmentTotalInt. Share
Fatal1631984%
Severe Injury1261914587%
Visible Injury3487942782%
Complaint of Pain1,0281851,21385%
All KSI1422216487%
Total1,5182861,80484%
Temporal Patterns

When Collisions Happen

Collision volume and collision severity follow different clocks. Volume peaks at 3 PM while the highest per-crash severity rates occur in late-night and early-morning hours. Understanding both patterns is essential for designing effective responses.

Hourly Collision Pattern — Injury Volume vs. KSI Count
Blue bars = injury collisions (left axis). Yellow line = KSI events (right axis). The PM peak (2–5 PM) accounts for 420 injury and 36 KSI collisions between 2021 and 2025.
🕐
Late Night / Early Morning: Highest KSI Severity Rate
1 AM (32% KSI rate), 5 AM (27%), and 11 PM (21%) have KSI rates 3–4× higher than the PM peak. Low-volume nighttime collisions are notably elevated in severity and are frequently associated with alcohol and high travel speeds.
🏫
School Hours: High Volume + VRU Exposure
Hours 7–8 AM and 3–4 PM combined record 496 injury collisions, 39 KSI, 54 pedestrian crashes, and 44 bicycle crashes — reflecting the overlap of commute volume and school travel.
Monthly Collision Pattern — Injury Volume and KSI
Volume peaks in August–September (165 each). KSI peaks in July (19 events) and August (17) — reflecting summer VRU exposure and speed. December (15) elevated from darkness and winter conditions.
MonthInjuryKSIKSI RatePrimary Risk Context
Day-of-Week — Injury Volume and KSI Events
Thursday has the highest injury volume (310). Monday and Sunday each record 28 KSI events — the highest of any day despite lower overall volumes, reflecting a distinct weekend and Monday collision pattern.
📅
Weekend KSI Rate Observation
Sunday records 28 KSI from only 206 total collisions — a 13.6% KSI rate, compared to Thursday's 5.8% despite higher volume (310 collisions, 18 KSI). Weekend and overnight conditions associated with alcohol involvement and reduced traffic control compliance appear to amplify crash severity even at lower total volumes.
KSI Rate Heatmap — Day × Time Period
Each cell shows the KSI rate for that day/time combination. Darker = higher KSI rate per collision. Late night and overnight windows consistently show the highest rates regardless of day.
Lower KSI rate
Higher KSI rate
Location Patterns

Where Collisions Happen

Corridor analysis reveals two distinct severity profiles: high-volume corridors with significant absolute KSI counts, and lower-volume corridors where the per-crash severity rate substantially exceeds the citywide average. Both present elevated risk concentrations, but through different mechanisms.

84%
At Intersections
1,518 of 1,804 collisions
15.8%
Highest KSI Rate
Concord Ave & Treat Blvd
17
KSI — Willow Pass
Highest KSI count corridor
9.1%
Citywide KSI Avg
Five-year benchmark
Corridor Analysis — Volume, KSI Count, and KSI Rate
All 15 CSAP High Injury Network corridors, sorted by total injury volume. KSI rate shown as colored pill. Corridors exceeding the 9.1% city average are highlighted. Pedestrian and bicycle counts show where vulnerable road users are most at risk.
CorridorTotal CollisionsKSIFatalsPedestrianBicycleKSI RatePriority Signal

Signalized vs. Unsignalized Intersections

Of the 1,518 intersection collisions: 1,032 (57.2% of all injury collisions citywide) occurred at signalized intersections, generating 89 KSI events (8.6% rate); and 493 occurred at unsignalized intersections with a modestly higher 10.3% KSI rate (51 KSI events). Note: the 84% figure above refers to all intersections combined (signalized + unsignalized); the 57% figure refers specifically to signalized intersections only. While the KSI rate is slightly higher at unsignalized locations, the absolute KSI concentration at signals is 75% larger — making signal operations the higher-priority focus by volume of severe outcomes.

🚦
Signalized Intersections
1,032 collisions · 89 KSI · 8.6% rate
Traffic signal violations (red-light running and failure to comply with signals) contributed to 292 collisions and 23 KSI between 2021 and 2025. Broadside collisions at signalized locations total 450 events — 65% of all broadside crashes citywide. Left-turn conflicts and red-light running are the dominant mechanisms.
⚠️
Unsignalized Intersections
493 collisions · 51 KSI · 10.3% rate
Unsignalized intersections — primarily side-street and lower-volume arterial crossings — show a modestly elevated KSI rate relative to signalized intersections. Speed differentials and sight line conditions are the most common primary collision factors recorded at these locations.
🛣️
Roadway Segments
286 collisions · 22 KSI · 7.7% rate
Segment collisions are fewer in number but include at a higher rate single-vehicle run-off events and head-on crashes. Alcohol involvement and nighttime conditions are more prevalent on segments than at intersections, suggesting that these events are concentrated on specific corridors at specific times — particularly Kirker Pass Road, Port Chicago Highway, and Ygnacio Valley Road.
Vulnerable Road Users

Pedestrians, Cyclists & Motorcyclists

Pedestrians, cyclists, and motorcyclists collectively bear a safety concentration that is notably higher relative to their share of roadway use. The data identifies distinct patterns within each mode.

Mode — Share of Injury Collisions vs. Share of KSI Outcomes
The gap between injury share and KSI share reveals the severity disparity each mode faces. A larger gap indicates higher per-collision KSI rate relative to exposure.
190
Ped Collisions
46
KSI Events
24.2%
KSI Rate
🔦
Darkness Dramatically Amplifies Risk
52 pedestrian collisions occurred in dark conditions — 27% of total pedestrian crashes — but account for 22 of 46 pedestrian KSI events (47.8%). The KSI rate for pedestrian collisions in dark conditions is 42.3%, compared to 24.2% overall. This disparity is the most statistically pronounced severity differential in the pedestrian dataset.
Pedestrian Action at Time of Collision
Where the pedestrian was and what they were doing when the crash occurred. In-crosswalk crashes represent 47% of total pedestrian collisions.

Three Observed Pedestrian Crash Patterns

🚶‍♀️
Pattern A — Crosswalk-Based Crashes
89 pedestrian collisions (47%) occurred while the pedestrian was recorded as crossing in a crosswalk, with a 21.3% KSI rate. Signal timing, sight distance, lighting conditions, and driver yielding behavior are the most frequently recorded factors in this subset.
🚗
Pattern B — Mid-Block / In-Road Crashes
43 pedestrians were struck while in the roadway away from a marked crosswalk — with a 39.5% KSI rate, the highest of any pedestrian action category. This pattern is concentrated on high-speed arterials. Clayton Road, Monument Boulevard, and Willow Pass Road account for the highest share of these mid-block pedestrian KSI events.
🌙
Pattern C — Darkness at Intersections
42 pedestrian collisions occurred in dark conditions at intersections — with a 42.9% KSI rate. This represents the highest-severity sub-cluster within the pedestrian dataset, concentrated at intersection locations where darkness and pedestrian exposure co-occur.
149
Bike Collisions
21
KSI Events
14.1%
KSI Rate
5-Year Bicycle Trend
2021 — 20 crashes
10% KSI
20
2022 — 26 crashes
27% KSI
26
2023 — 32 crashes
13% KSI
32
2024 — 36 crashes
3% KSI
36
2025 — 35 crashes
20% KSI
35
📈
Volume Trend 2021–2025
2021 (20) → 2025 (35)
Bicycle collision volume increased from 20 in 2021 to 35 in 2025. 89% of bicycle crashes occur at or near intersections — the broadside collision type (representing left-turn and cross-traffic conflicts) is the dominant mechanism. The KSI rate has varied considerably year-to-year, ranging from 2.8% in 2024 to higher levels in other years.
🚨
Hit-and-Run Rate
31 of 149 bicycle crashes = 20.8%
The hit-and-run rate for bicycle crashes (20.8%) is nearly double the citywide H&R rate (11.8%). Cyclists represent a disproportionate share of hit-and-run KSI victims relative to their share of total collisions.
122
MC Collisions
31
KSI Events
25.4%
KSI Rate — 2.8× citywide
Collision TypeMC Count% of MC Crashes
Broadside (D)5041.0%
Sideswipe (B)1915.6%
Hit Object (E)1713.9%
Rear End (C)1613.1%
Head-On (A)108.2%
⚠️
Intersection Conflict Dominant
41% of motorcycle crashes are broadside collisions, overwhelmingly at intersections (95 of 122 motorcycle crashes = 78%). Left-turn and cross-traffic conflicts — where a vehicle fails to yield to an oncoming motorcycle — are the primary mechanism. Signal visibility, intersection geometry, and driver awareness all contribute to this pattern.
Compound Risk

Compound Risk Factor Analysis

Individual risk factors rarely operate in isolation. When conditions combine — darkness with pedestrian involvement, alcohol with nighttime driving, single-vehicle crashes with impairment — crash severity rates increase substantially. The data quantifies how these compound patterns elevate KSI rates above what each factor alone would predict.

KSI Rate by Risk Condition — Single and Combined
Citywide average = 9.1%. Color coding reflects severity tier. Combined conditions show KSI rates up to 4 to 5 times the citywide average.
🌙
Dark + Pedestrian
52 collisions · 22 KSI · 42.3% rate
The combination of dark conditions and pedestrian involvement produces the most extreme KSI rate in the data — 4.6× the citywide average. 42 of these 52 events occurred at intersections, where darkness and pedestrian exposure co-occur at the highest measured rate.
🍺
DUI + Dark + Weekend
55 collisions · 12 KSI · 21.8% rate
The highest-density alcohol risk window — Friday and Saturday nights in dark conditions — concentrates 55 collisions into a predictable time-space envelope. A 21.8% KSI rate (2.4× citywide) characterizes this cluster. Alcohol-involved collisions as a whole declined 50% from 2023 to 2025.
🚗
Single-Vehicle Crashes
179 collisions · 28 KSI · 15.6% rate
Single-vehicle crashes — virtually all involving fixed objects — produce a 15.6% KSI rate. 75 occurred at night (42%), 49 involved alcohol (27%), and the vast majority are hit-object events on arterials. The corridors with the highest single-vehicle KSI concentrations are Kirker Pass Road, Port Chicago Highway, and Ygnacio Valley Road.

School Zone Proximity Analysis

667 collisions (37% of total) occurred within 0.25 miles of a school. This cluster records 57 KSI events and includes 589 intersection crashes, 243 broadside events, and 70 pedestrian crashes. During school-relevant hours (7–8 AM and 3–4 PM), 496 total collisions and 39 KSI were recorded — with 54 pedestrian and 44 bicycle crashes concentrated in this window. The school-proximity pattern reflects the compounding effects of pedestrian and bicycle exposure during peak school travel hours.

667
Near-School Collisions
Within 0.25 miles · 37% of all crashes
57
Near-School KSI
8.5% rate · 35% of all KSI events
Contributing Factors

Contributing Factors Analysis

Every collision in California is coded with a primary contributing violation. Understanding which violation types produce the most collisions — and which produce the most severe outcomes — reveals where severity is disproportionate to volume.

Violation Category — Injury Collisions vs. KSI Events
Blue = Injury Collisions    Yellow = KSI Events. DUI and Pedestrian Right-of-Way have notably elevated KSI relative to collision volume.
Alcohol-Involved Collisions by Hour
59% of alcohol collisions occur between 3 PM and 2 AM. The 9 PM–2 AM window is the peak concentration for late-night alcohol-related collisions.
💡
Unsafe Speed — Volume and Severity Context
Unsafe speed is the leading violation category by volume (418 collisions, 23% of total). Across the 2021–2025 period, 85% of KSI collisions occurred in clear weather and 90% on dry roads — indicating that adverse physical conditions were not the primary contributing factor in most severe crashes. Speed-related collisions are distributed across arterial corridors citywide with no single location accounting for a dominant share.

Violation Category Summary

Violation CategoryInjury CollisionsKSI EventsKSI Rate% of All KSI
Unsafe Speed418235.5%14.0%
Traffic Signals & Signs292237.9%14.0%
Improper Turning270238.5%14.0%
Auto Right of Way238187.6%11.0%
DUI – Alcohol1392014.4%12.2%
Ped Right of Way891314.6%7.9%
Pedestrian Violation532241.5%13.4%
Following Too Closely6111.6%0.6%
Wrong Side of Road46510.9%3.0%
📊
Pedestrian Violations — Context
"Pedestrian Violation" has the highest severity rate of any PCF category (41.5% KSI rate). This designation reflects how the crash was recorded in the collision report; it does not constitute a determination of legal fault. A substantial share of these crashes occur on high-speed arterials where signalized crossings are the only available crossing option within the recorded crash segment.

Hit-and-Run Collision Pattern

Hit-and-Run by Year
213 hit-and-run collisions between 2021 and 2025. The 2023 peak of 60 events (15.7% of all crashes that year) declined to 30 in 2025 — the lowest of any year in the data.
🚨
Pedestrian H&R Collisions
35 of 213 H&R events involve pedestrians
18.4% of all pedestrian collisions involved a driver who left the scene. This represents 16.4% of all hit-and-run events citywide. The combination of pedestrian vulnerability and driver departure results in the highest proportion of unwitnessed severe injury crashes in the dataset.
Positive Trend: H&R Declining
Hit-and-run collisions declined from the 2023 peak of 60 to 30 in 2025 — a 50% reduction. This mirrors the decline in alcohol-involved collisions over the same period; both reached their lowest recorded values in 2025.
Demographics

Demographics Analysis

Age and gender data provide context for targeted outreach and education programs. At-fault party age distribution identifies driver cohorts with elevated involvement relative to their share of the driving population.

Driver Age Distribution — Cited in Collisions
Age data was available for 1,080 drivers cited in collisions. The 20–29 cohort is the most represented, followed by 30–39 and 40–49.
214
20–29 age group
Highest cohort
329
Ages 15–29
33% of cited drivers
63%
Male (63%) vs.
Female (37%)
👥
Age Pattern Observations
Based on 1,080 records with age data
Drivers aged 15–29 account for approximately 33% of driver records where a violation was cited — higher than their share of the driving population. The 15–19 sub-cohort shows elevated involvement relative to their licensed driving population. Drivers aged 70+ show involvement broadly proportional to their population, with a 9.3% KSI rate near the citywide average. Missing age data (96 records coded as unknown) limits the precision of age-based analysis.
Collision Profiles

Ten Citywide Collision Profiles

Ten citywide collision profiles were developed from the 2021–2025 dataset, capturing the most prevalent and severe recurring patterns. Each profile characterizes a distinct cluster defined by collision type, contributing factors, location, and time-of-day attributes. Profiles are sorted by total collision volume.

10
Safety Profiles
Citywide recurring patterns
164
Total KSI Events
Killed or severely injured
1,518
At Intersections
Profile 1 — largest group
2021–25
Study Period
City streets only
Profile 1
Improve Safety at Intersections
1,518
collisions
142
KSI Events
607
Broadside
457
Nighttime
Profile 2
Reduce Broadside Collisions
687
collisions
47
KSI Events
607
At Intersections
253
Signal Violations
Profile 3
Collisions near Schools (¼ mile)
667
collisions
57
KSI Events
70
Pedestrians
52
Bicyclists
Profile 4 · Elevated KSI
Reduce Nighttime Collisions
544
collisions
71
KSI Events
107
DUI Involved
60
Pedestrians
Profile 5
Reduce Rear-End Collisions
450
collisions
16
KSI Events
292
Unsafe Speed
374
At Intersections
Profile 6
Reduce Unsafe Speed Collisions
418
collisions
23
KSI Events
292
Rear-End
122
Nighttime
Profile 7
Traffic Signs & Signals Violations
292
collisions
23
KSI Events
287
At Intersections
253
Broadside
Profile 8 · Elevated KSI
Improve Pedestrian Safety
190
collisions
46
KSI Events
24.2%
KSI Rate
60
Nighttime
Profile 9 · Elevated KSI
Improve Bicycle Safety
149
collisions
21
KSI Events
14.1%
KSI Rate
89
Broadside
Profile 10 · Elevated KSI
Reduce DUI-Related Collisions
139
collisions
20
KSI Events
14.4%
KSI Rate
107
Nighttime
📌
Reading the Profiles
Blue left border = standard priority. Red left border = elevated KSI rate (profiles 4, 8, 9, 10). Each profile's three sub-metrics reflect the dominant co-occurring conditions within that crash pattern — they are not mutually exclusive; individual collisions may appear in more than one profile. Total collision counts reflect all injury collisions where the named condition was a primary or contributing factor.
High Injury Network (HIN)

Where Severe Crashes Concentrate — High Injury Network

The High Injury Network (HIN) identifies the corridors and intersections in Concord where fatal and severe injury collisions are most heavily concentrated. Based on five years of collision data (2021–2025), each location is ranked using the CSAP's Safe System scoring methodology, which weights KSI collisions, total injuries, pedestrian and bicycle collisions, and intersection activity. The 15 priority corridors and 12 priority intersections shown here account for a disproportionate share of Concord's 164 KSI events and form the spatial foundation for the City's safety investment strategy.

👆
Click any corridor or intersection row to expand the full collision profile
Each location has a distinct dominant collision pattern — including KSI trend by year, collision types, contributing factors, VRU involvement, alcohol, dark conditions, and hit-and-run data. Profiles are sourced from SWITRS/TIMS raw data; control totals match the CSAP.
15
Priority Corridors
Ranked by severity score
12
HIN Intersections
Click to explore each
69
KSI — Top 5 Corridors
42% of citywide total
87%
KSI at Intersections
Along HIN corridors
Fatal collision
Signalized
Uncontrolled
California collision data 2021–2025 · City streets only
Data Insights

What the Data Tells Us

Key patterns from 1,804 collisions and 164 severe or fatal (KSI) events recorded on Concord city streets between 2021 and 2025.

🛣️
Top Corridors by KSI
Where · Highest concentration of severe crashes
Willow Pass Rd
17
Clayton Rd
16
Monument Blvd
13
Treat Blvd
13
Concord Ave
12
Concord Blvd
10
Port Chicago Hwy
8
Top 5 corridors = 69 KSI · 42% of citywide total · 87% occur at intersections
💥
KSI by Collision Type
How · Broadside & pedestrian crashes lead
Broadside (T-bone)
47
Pedestrian-involved
46
Hit Object
26
Rear-End
16
Sideswipe
13
Head-On
12
Broadside+Ped 56%
Other 44%
🚶
KSI by Travel Mode
Who · Pedestrians & cyclists overrepresented
46
Pedestrian KSI
28% of all KSI
21
Bicycle KSI
13% of all KSI
61
Passenger Car KSI · 37%
31
Motorcycle KSI · 19%
Ped 28%
Bike 13%
Car 37%
Moto 19%
Other
Pedestrians = 7 of 19 fatalities (37%) · Vulnerable road users = 61% of all KSI
KSI by Time of Day
When · PM peak hours highest volume; late night highest rate
12 AM6 AMNoon6 PM11 PM
56
PM Peak
2–7 PM (34%)
40
Evening
7–11 PM (24%)
36
Morning
6 AM–Noon (22%)
🌙
Lighting Conditions, Weather & Contributing Factors
Context · Environmental and behavioral patterns behind KSI events
Lighting
Daylight
92
Dark w/ Lights
56
Dusk/Dawn
7
Dark No Lights
6
39% of KSI in dark conditions
Weather
Clear
140
Cloudy
12
Raining
8
85% of KSI in clear weather
Top KSI Contributing Factors
Unsafe Speed
23
Improper Turning
23
Signals/Signs
23
DUI
20
Auto Right-of-Way
18
23%
of KSI involve alcohol (37 of 164)
39%
of KSI in dark conditions (64 of 164)
📌
Intersection vs. Mid-block & KSI by Year
Location · Intersections account for 87% of all KSI
142
At Intersection (87%)
22
Mid-block / Segment (13%)
Intersections 87%
Mid-block 13%
The strong concentration at intersections points to the need for intersection-focused safety improvements — signal timing, protected pedestrian phases, turn restrictions, and improved visibility at key nodes.
KSI by Year
34
2021
39
2022
28
2023
29
2024
34
2025
2022 was the peak year (39 KSI). 2023–24 saw genuine improvement. Five-year average: 32.8 KSI per year.
🍺
Alcohol KSI: When & Who
Pattern · Weekend nights concentrate DUI risk
Alcohol share of KSI by time of day
Late Night (12–6 AM)
53%
Evening (7–11 PM)
32%
PM Peak (2–7 PM)
12%
Morning (6 AM–Noon)
11%
38%
Weekend KSI involve alcohol
16%
Weekday KSI involve alcohol
54% of weekend-night KSI involve alcohol — late-night Friday & Saturday is the highest-risk window
🚶
Pedestrian KSI: Light vs. Dark
Insight · Nearly half of ped KSI happen in full daylight
24
Daylight or Dusk/Dawn
22
Dark (streetlit or unlit)
Pedestrian KSI by time of day (46 total)
PM Peak (2–7 PM)
15
Evening (7–11 PM)
13
Morning (6 AM–Noon)
10
Midday/Late Night
8
52% of pedestrian KSI occur in visible conditions — driver inattention & speed are root causes. 54% occur at signalized intersections.

Download the Final Plan

The Concord Comprehensive Safety Action Plan (CSAP) was adopted by the City Council on May 12, 2026. Download the final adopted documents below. The PDF includes all chapters, figures, maps, charts, and appendices.

Adopted by Concord City Council · May 12, 2026