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Mapping Accident Data and Use of GIS Applications Jeff Kaufman, AICP Transportation Safety Coordinator Houston-Galveston Area Council Houston, TX April.

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Presentation on theme: "Mapping Accident Data and Use of GIS Applications Jeff Kaufman, AICP Transportation Safety Coordinator Houston-Galveston Area Council Houston, TX April."— Presentation transcript:

1 Mapping Accident Data and Use of GIS Applications Jeff Kaufman, AICP Transportation Safety Coordinator Houston-Galveston Area Council Houston, TX April 19, 2007

2 The Unwieldiness of Crash Data  Texas Department of Public Safety Crash Data Code Guide – 65 pages of codes  Four years of data – 330,000 records  310 columns/fields per record  Over 100 million pieces of information!

3 Benefits of a GIS-based Crash Database  Ability to choose specific locations of interest  Ability to query like a database  Ability to manipulate data  Ability to tie data in to other areas of study  On-the-fly mapping for presentations  “A picture speaks a thousand words”

4 Creating a GIS-based Crash Database Crash Data w/Locations Base Map with Road Names

5 1.Crash reporting errors in geographical identifiers 2.Recording errors 3.Base map errors 4.Unresolvable errors Issues with Creating a Crash System Database

6 Ned Levine, PhD Karl Kim, PhD

7 Data Cleaning Program Convert Field Names into Base Map Street Names IF CITY = '07905' AND MAINSTRT = '1STCO' THEN MSTREET = 'FIRST_COLONY BLVD'; IF CITY = '07905' AND MAINSTRT = '6TH' THEN MSTREET = '6TH ST'; IF CITY = '07905' AND MAINSTRT = 'AIRP' THEN MSTREET = 'AIRPORT'; IF CITY = '07905' AND MAINSTRT = 'ALST' THEN MSTREET = 'ALSTON'; IF CITY = '07905' AND MAINSTRT = 'ARCAD' THEN MSTREET = 'ARCADIA DR'; IF CITY = '07905' AND MAINSTRT = 'AUST' THEN MSTREET = 'AUSTIN'; IF CITY = '07905' AND MAINSTRT = 'ANSTO' THEN MSTREET = 'ANSTON'; IF CITY = '07905' AND MAINSTRT = 'AUTUM' THEN MSTREET = 'AUTUMN RIDGE DR'; IF CITY = '07905' AND MAINSTRT = 'AVEE' THEN MSTREET = 'AVE_E'; IF CITY = '07905' AND MAINSTRT = 'ALKIR' THEN MSTREET = 'ALKIRE LAKE DR'; IF CITY = '07905' AND MAINSTRT = 'AIRPO' THEN MSTREET = 'AIRPORT'; IF CITY = '07905' AND MAINSTRT = 'AVEE' THEN MSTREET = 'AVE_E'; etc.

8 IF RSTREET = ‘8’ THEN RSTREET = ‘BW 8’; IF RSTREET = ‘BELTWAY’ THEN RSTREET = ‘BW 8’; IF RSTREET = ‘BELTWAY 8’ THEN RSTREET = ‘BW 8’; IF RSTREET = ‘KATY FREEWAY’ THEN RSTREET = ‘IH 10 W’; IF RSTREET = ‘KATY FWY’ THEN RSTREET = ‘IH 10 W’; IF RSTREET = ‘KATY’ THEN RSTREET = ‘IH 10 W’; IF RSTREET = ‘GULF FREEWAY’ THEN RSTREET = ‘IH 45 S’; IF RSTREET = ‘GULF FWY’ THEN RSTREET = ‘IH 45 S’; IF RSTREET = ‘GULF’ THEN RSTREET = ‘IH 45 S’; etc. Pre-processing Program – I Standardize Freeway Names

9 IF RSTREET = 'FIRST ST' THEN RSTREET = '1ST ST'; IF RSTREET = 'SECOND ST' THEN RSTREET = '2ND ST'; IF RSTREET = 'THIRD ST' THEN RSTREET = '3RD ST'; IF RSTREET = 'FOURTH ST' THEN RSTREET = '4TH ST'; IF RSTREET = 'FIFTH ST' THEN RSTREET = '5TH ST'; IF RSTREET = 'SIXTH ST' THEN RSTREET = '6TH ST'; IF RSTREET = 'SEVENTH ST' THEN RSTREET = '7TH ST'; IF RSTREET = 'EIGHTH ST' THEN RSTREET = '8TH ST'; IF RSTREET = 'NINTH ST' THEN RSTREET = '9TH ST'; etc. IF MSTREET='A' THEN MSTREET='AVE_A'; IF MSTREET='B' THEN MSTREET='AVE_B'; IF MSTREET='C' THEN MSTREET='AVE_C'; IF MSTREET='D' THEN MSTREET='AVE_D'; IF MSTREET='E' THEN MSTREET='AVE_E'; IF MSTREET='F' THEN MSTREET='AVE_F'; IF MSTREET='G' THEN MSTREET='AVE_G'; etc. Pre-processing Program – II Standardize Numeric and Lettered Street Names

10 1.Correcting street name inconsistencies 2.Correcting geographic errors (e.g., adding new streets; creating intersections that don’t intersect) 3.Creating pseudo-intersections for place locations (e.g., freeway exit locations; cul-de-sacs that don’t intersect; places) Modifying the Base Map

11 1. Comprehensiveness (‘match rate’) 2. Geocoding accuracy (correct placement) 3. Spatial accuracy (resolution) Goal: 90% matching w/90% accuracy Three Criteria for Geocoding

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13 Analysis Types  Crash numbers (volumes)  Crash risk  Hot spots

14 Crash Numbers  Quantification  Resolution of information  Aggregation of Data for clearer picture  CrimeStat® Spatial Statistics Program – http://www.icpsr.umich.edu/CRIMESTAT/

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19 Crash Risk  Definition: Crashes per 100 million Vehicle Miles Traveled (VMT) Analysis Approaches:  Crash Risk by City/County/Region  Crash Risk by Road Type  Crash Risk by Mode of Travel  Etc.

20 Serious Crash Risk (Serious Crashes per 100 Million VMT) Jurisdictional Comparisons CityCrash Risk Pearland378 Galveston337 Baytown334 Rosenberg320 Pasadena290 Conroe247 Houston231 Texas City211 Sugar Land192 Houston Region204 State of Texas149

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22 Serious Crash Risk Serious Crashes Per 100 Million VMT Kirby Drive437 Urban principal arterials Harris County247 State of Texas233

23  Focus on areas of interest  Determine areas of high incidence  Assist with comprehensive review  CrimeStat® Spatial Statistics Program Hot Spot Analyses

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29 Issues for Consideration  Process is time consuming  Full-time process – staff requirements  Quality control is CRITICAL!  Need a good machine

30 Questions?


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