NJDOT Pedestrian Safety Analysis Tool 2015 GIS T Conference

Transcription

1 NJDOT Pedestrian Safety Analysis Tool 2015 GIS T Conference

2 NJDOT Pedestrian Safety Analysis Tool Justin Furch GIT Department Manager Michael Baker International

3 Pedestrian Safety in NJ: Has the highest population density in the country (1,170 people per sq. mile) Above average pedestrian fatality rates New Jersey is an FHWA Pedestrian Focus State 402 pedestrian fatalities ( ) Over 13,000 injured on State roadways Source: FHWA,

4 Program History: (2006) Pedestrian Safety Management System NJDOT Bike/Pedestrian data management and analysis Spatial GIS Layers Dynamic analysis using ArcObjects Proof of concept (2013) Pedestrian Safety Analysis Tool Light-weight analysis tool Linear Referenced data layer Pre-processed data

5 Pedestrian Safety Analysis Tool (PSAT) Assist the NJDOT in focusing investments in areas of high need. Identify and prioritize state roadway that may need pedestrian improvements Provide the ability to focus on a geographic region within the state (MPO, County, etc.) Ability to include or not include condition criteria in the analysis

6 Additional Requirements: Create a ranked list of locations for potential pedestrian project based on spatial data. Roadway segment ranking percentile: In the State MPO Region County Desktop based (minimizing deployment complications) Does not require special GIS software licensing.

7 Data Elements Considered Pedestrian Crash History Presence of sidewalk Presence of curb ramps AADT Posted Speed Limit Proximity to schools, senior centers, and transit facilities

8 Analysis Filter Results Report Criteria Filter

9 Filter by Specific Region or Location Route Types: All Types MPO US Region: Routes NJ Routes NJTPA DVRPC SJTPO Counties Municipalities Standard Route Identifier (SRI): B_

10 Data Elements MULTIPLE DATA SOURCES Accident Records (LRS) Unified / Standardized LRS/LRM makes it possible to combine these. Points of Interest Sidewalk Inv. TMS Roadway Attributes NJ Transit Curb Ramp Inv. Points of Interest (GIS) (LRS) (LRS) (LRS) (GIS) (LRS) (GIS)

11 Building the base data table Pre-processing data steps: Convert GIS data to Linear data Merge all of the Linear data into a single data table Associate regional boundaries to the base data table Apply weighting\scoring to each section based on roadway conditions\attributes

12 GIS data layers conversion to LRS datasets Pedestrian Safety Analysis Tool

13 Sections of Influence/Overlap Convert GIS to LRS Start End Schools School Count

14 Post processing the data Linear Data Merging Process Pedestrian Safety Analysis Tool milepost 0 milepost 5 Speed Limit 35 mph 55 mph 45 mph AADT 3,000 7,000 4,000 Combined Attributes and Ped. breaks Injuries Apply segment scoring based on record attributes Apply regional boundaries Loaded into the application to build the prioritized section report

15 Examples of Criteria Data Element Criteria Score Traffic Volume (AADT) Less than 5, ,000 to 10,000 3 Greater then 10,000 6 Roadway Speed Limit Less then to to 49 4 Greater than49 6 Pedestrian Injuries to to 9 15 Greater then 9 20 Existence of 1 or more schools (1/2 mi) Yes 6 Existence of 1 or more bus stops (300 ft) Yes 6

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19 The Final Product: Relies completely on Linear Reference System (LRS) data Flexible enough to handle any GIS data sets standardized on the same LRS. Data layers are pre-processed and merged using NJDOT s standardized LRS Report generation is extremely fast, providing users the ability to tweak included criteria as needed

20 Output, generated in the form of a report, can assist in developing statements of need for pedestrian specific improvement projects Export results to the major file types including Excel, PDF, CSV, and TIFF.

21 Technical Details Desktop application (.NET WPF) Microsoft Access Database Telerik Reporting Engine Data pre-processed using: Esri ArcGIS Desktop Microsoft SQL Server

22 Benefits Cost Short Development Time Scalable for Web-based platform Intuitive End User Interface Easily Customizable Disadvantages Static Data Application Updates

23 Questions?

24 Contact Information: Justin Furch GIT Department Manager Michael Baker International 300 American Metro Blvd. Hamilton, NJ [O]