American’s with Disabilities Act GIS Inventory and Analysis Justin Furch, GIT Manager February 2014

NJDOT Curb Ramp Inventory and Analysis Project Overview  Identify areas where public sidewalks were not in compliance with the Americans with Disabilities Act Accessibility Guidelines (ADAAG)  Prioritization and scheduling replacement. 2/19/2015 2

Project Structure  Project was completed as three separate task orders (2010 – 2012) for NJDOT Task 1: Identify the location of intersections & associated curb ramps (2010) Task 2: Prioritize non-compliant intersections for replacement (2011) Task 3: Schedule non-compliant intersections for replacement (2012) 2/19/2015 3

Feature Extraction  Intersection: Georeferenced location of center Attributes  Each Curb Ramp: Georeferenced location of center Associated Intersection ID Attributes 2/19/2015 4

Image Collection Van  Image Collection: Front, Right, and Left Facing Cameras 40 ft image spacing Geo-referenced “Smart” Images 2/19/2015 5

Feature Extraction 2/19/2015 6

Task 1 - Identify Non-Compliant Intersections  Feature Extraction data collection (2009 images) Intersections Sidewalk Curb Ramps  Intersection attributes included: Street type Sidewalks exist (y/n) Location (lat/long) Standard Route Identifier (SRI) Milepost Image ID 2/19/2015 7

Task 1 - Identify non-compliant intersections  Curb Ramp attributes included: Curb Ramps existing (y/n) Detectable warning surface (y/n) Flush with gutter or street (y/n) Landing needed (y/n) Landing meets min width (y/n) Ramp meets min width (y/n) Ramp aligned w/ crosswalk (y/n) Location (lat/long) Standard Route Identifier (SRI) Milepost Intersection ID 2/19/2015 8

Task 1 - Identify non-compliant intersections  A compliance rating (Full, Partial, Non) was assigned to each intersection  Data delivered to NJDOT in Access database. 10,093 intersections were inventoried along NJ State highways 1,706 intersections were found to be non-compliant throughout the State  GIS layers delivered in personal geodatabase and shapefile format, including FGDC compliant metadata 2/19/2015 9

Task 1 - Identify non-compliant intersections 2/19/

Task 1 - Identify non-compliant intersections  Incorporate into NJDOT’s Data Warehouse \ Straight Line Diagram (SLD) database Linear Referenced Statewide Database Includes over 80 roadway features and assets  Custom graphic for display  Custom data form for viewing all curb ramps associated with an intersection 2/19/

Task 1 - Identify non-compliant intersections 2/19/

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Task 2 - Prioritize non-compliant intersections  Non-compliant intersections were prioritized for replacement  Priority ranking based on an intersection’s location with respect to it’s: Proximity to pedestrian generators (such as train stations) Proximity to other non-compliant intersections Proximity to pedestrian crash locations Percentage of the population that is elderly or disabled, or location to criteria that would have a greater likelihood of elderly/disabled (hospitals, nursing homes, senior centers) 2/19/

Task 2 - Prioritize non-compliant intersections  GIS analysis on non-compliant intersection data using ArcToolbox tools: Buffer analysis was used to compute the density of intersections in relation to one another Near analysis was used to compute the proximity of the nearest hospital, nursing home, senior center, pedestrian crash, resurfacing project, municipal building, park and ride and rail station The intersect command was used on Census Tract data to compute scores for demographic data 2/19/

Task 2 - Prioritize non-compliant intersections  Scoring system was developed based upon an intersection’s proximity to different criteria  Weightings were defined as Very High = 200%; High = 100%; Medium = 75%; Low = 50%. 2/19/

Task 2 - Prioritize non-compliant intersections  GIS Layers delivered in personal geodatabase and shapefile format, including FGDC compliant metadata  Reports delivered summarizing weighted scores by route  Maps Statewide (including insets) North Region Central Region South Region 2/19/

Task 2 - Prioritize non-compliant intersections 2/19/

Task 3 – Scheduling Non-Compliant Intersections for Replacement  Identify non-compliant intersections that fall within limits of projects in the 2012 – 2021 New Jersey Statewide Transportation Improvement Program (STIP)  Curb ramps not located within STIP project limits were assigned to maintenance contracts (2012 – 2021) for replacement  Develop a schedule and cost estimate for installation of curb ramps 2/19/

Task 3 – Scheduling Non-Compliant Intersections for Replacement  Design a database with the following fields: Standard Route Identifier (SRI) Milepost Intersection ID County Lat/Long Intersection Prioritization Score Number of Curb Ramps at Intersection Fiscal Year Scheduled for Replacement Date Installed Maintenance Contract or STIP Project ID 2/19/

Task 3 – Scheduling Non-Compliant Intersections for Replacement  STIP data manually filtered for relevant projects STIP database contained 3,751 records; Filtered down to 444  Identified non compliant intersections within STIP project limits Of the 1,706 non-compliant intersections, 428 were within STIP project limits 2/19/

Task 3 – Scheduling Non-Compliant Intersections for Replacement 2/19/ This left 1,268 intersections outside of STIP Project limits Assigned to regional maintenance contracts – Divided equally over 10 year maintenance contracts – Intersections that ranked highest in score will be completed first An average installation cost per ramp was also developed ($1,500). This cost was adjusted for inflation within the database (3%).

Task 3 – Scheduling Non-Compliant Intersections for Replacement 2/19/

Task 3 – Scheduling Non-Compliant Intersections for Replacement  Data delivered to NJDOT in Access database which contained queries to generate summary reports Annual Summary Report Route Summary Report Project Detail Report  Database allows NJDOT to filter data by County/Municipality or SRI, as well as update the “Date Replaced” field  Also allows updates to cost field, as well as adjustments for inflation 2/19/

Task 3 – Scheduling Non-Compliant Intersections for Replacement  Maps: Statewide (including insets) North Region Central Region South Region 2/19/

Inventory Innovation - Sidewalk 2/19/  Proven Technology – Verified and Validated  Sponsored by FHWA  Portable and Green Technology  100% Sampling using an Objective Approach Human Errors are Minimized  Accurate, Repeatable, Reliable Measurements  Ground based Linear Referencing Doesn’t rely exclusively on GPS  Super-Efficient Data Collection Productivity Level of miles per day (urban/rural)  Field Quality Control Uses Onboard Real-Time Data Viewer Technical Advantages of ULIP Ultra-Light Inertial Profiler Photograph courtesy of Franz Loewenherz. ULIP system developed by Starodub, Inc. under Federal Highway Administration Contract. Bellevue Project implemented by City of Bellevue, WA Dept. of Transportation Ultra-Light Inertial Profiler

Inventory Innovation - Sidewalk 2/19/  Bellevue testing with global navigation satellite system (GPS) found the accuracy of latitude/longitude data degraded in areas with tall buildings or thick tree canopies. Positional Accuracy of Data  Start/end points for each data collection run entered on an ortho- photo image on the ULIP’s notebook computer screen. The gyroscope and distance measurement instrument were used to compute path of travel.

Questions? 2/19/ Justin Furch NJ GIT Department Manager Michael Baker Jr. Inc. (609) Questions: