Transcript City Of Colorado Springs Automatic Vehicle Location (AVL)

Creating Situational Awareness
for First Responders
david blankinship
senior gis analyst, colorado springs fire department
Principles of our knowledge
management

Deliver the right information, to the right
person, at the right moment

Unimpeded integration across space, time,
entity, and process

Totally structured for the consumer
What does this create?

Practical, mission-driven solutions:
Integrated inspection systems
Spatial Decision Support Systems/RAMP
Complex and preplan data
Wildland fire behavior
Damage assessment
HazMat Plume Modeling
AVL/ITS
Intra-structure forensics
Arson profiling
Landslide susceptibility
Interoperability/SA
Evacuation routes
Swift water rescue guidance
Assessing vulnerable populations
Flood/inundation studies
Information delivery in any format, any place
Water supply analysis
USAR/S&R
OEM/OES strategic planning
Parcel-based wildland fire risk analysis
Map books, wall maps, etc
Station location studies
Run Order/CAD integration
Major incident support
CBRNE modeling
How do you know what to do?

Executive leadership that always focuses
on forward progress – not just doing
something because we always have

Make the goal define the technology – it’s
just a tool, not a religion
Specific examples

Risk Assessment
Parcel-based wildland fire risk assessment
 Risk Assessment and Mitigation Process (RAMP)


Standardization via National Fire Data Model


Sponsorship
AVL/Intelligent Transportation System
Parcel-based WUI Risk Assessment

Combine advanced
remote sensing with
public process to
improve fire risk
mitigation
Goal - engage the community to
reduce risk
 Require a common view of the
wildfire hazard
 Demand consistent level of
accuracy across community
 Focus on actionable tasks that
could mitigate effects of an event
Example – Initial WUI
assessment (55 sq miles) using
traditional collection assets.
Update utilized remote sensing
data to reduced time and cost
($62K)
DATA COLLECTION STRATEGY 2001
44,329 site visits
20 values/site
9 Months
9 Engines
3 Hours/shift
$1.5m value
Risk Assessment Models –
Wildland Fire

Develop a community definition of WUI
hazards and risks



Common Attributes



Moraga-Orinda


Wildland Fire Risk
Fire Suppression
Fire Behavior
Fire Behavior (fuels, slope, aspect, etc)
Landscape (veg density, defensible space)
Water (hydrant, sources)
Access (response time, road conditions)
Construction (roof, siding, utilities, etc)
Owner Intervention
Water Supply
Predominant Slope
Fire Department Access
Hydrant Location
Predominant Aspect
Structure Roofing Material
Visible Addressing
Dangerous Topography
Chimney Protection
Building Density
Predominant Fuel Type
Decking & Balcony
Electrical Panel
Eave and Vent Openings
Fire Dept Response Time
Landscaping
Road Condition
Adopt existing model
Develop community-based model

Combine attributes to develop a rating



Science
Subject Matter Experts
Polling of effected community
GPS
Integrated
Traffic Signals
© Copyright 1996 Galactic Software.
All Rights Reserved.
Preemption
CSFD
Call Info.
Call Info.
900 MHz
AVL Central
System
Dispatch
CAD
Time to sit down, dave…
david blankinship
senior gis analyst, colorado springs fire department