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Asset Management for ADA Compliance
    Using Advanced Technologies


    American Public Works Association
 2009 International Public Works Congress

              Franz Loewenherz
         Senior Transportation Planner
                City of Bellevue

              September 14, 2009
Presentation Outline

1.   ADA Culture of Compliance
2.   ADA Sidewalk & Curb Ramp Self Evaluation
3.   Data Collection
4.   Quality Assurance/Quality Control
5.   Roadway Grade Analysis
6.   Driveway Cross Slope Analysis
7.   ADA Viewer Interface
8.   Barrier Ranking Analysis
9.   Programming of Asset Improvements
ADA Culture of Compliance
Americans with Disabilities Act (ADA)
Title II – Government Services: Must ensure that individuals
with disabilities are not excluded from programs, services, and
activities (pedestrian facilities are an example of a program).
Title II Elements
28 CFR 35.105      28 CFR   35.150(d)(3)
City of Bellevue (WA)
                                    Approximately 15 percent of
                                    residents live with developmental,
                                    physical, and mental disabilities.




The City of Bellevue is a diverse
community of 120,000 residents.
% Population 65+ (Central Puget Sound)
    18%
    17%                                                    16.7%

    16%
    15%
    14%
    13%
    12%
    11%
    10%
     9%   8.6%

     8%
          1970
            1    1980
                   2    1990
                         3     2000
                                 4    2010
                                       5     2020
                                               6    2030
                                                     7     2040
                                                             8



 As the population continues to age, the number of
 people with mobility disabilities is expected to increase.
ADA Title II Compliance Flowchart



        Self Evaluation




             Program & Facility Accessibility
Policy Commitment

        Policy TR-26: Address the
        special needs of physically
        challenged and disabled citizens
        in planning, designing,
        implementing, and maintaining
        transportation improvements,
        particularly non-motorized
        improvements, and other
        transportation facilities, and in
        delivering transportation services
        and programs, in accordance
        with the Americans with
        Disabilities Act (ADA).
Bellevue ADA Sidewalk & Curb Ramp
          Self Evaluation
Sidewalk & Curb Ramp Inventory Overview
                            Top Landing                       Moveable Obstruction
Absence of level landing                  Tactile Warning




Fixed Obstruction



                                                                          Heaving




   Ramp cross slope
                                                                Bottom Landing
                           No Ramp          Ramp Transition
Guidance for Conducting an ADA Inventory
Numerous Methodologies
U.S. Dept of Justice                 Texas DOT                 Maryland State Highway




                                       Summer 2006. Bellevue
                                       conducted 2 week assessment
                                       with professional staff using
                                       equipment for land surveys.

                                       Estimated cost in excess of $1M.




                City of Sacramento               Florida DOT
Project Approach
1                     2                       3
    Data Collection       Database Analysis       Barrier Ranking




              Disability Community Participation
Data Collection
Inertial Profilers
Profiling systems originally developed by GM Labs in the 1970s.

Used in both the aerospace and
roadway construction industries
Technology Development Partnership
                    Summer 2007. Research
                    partnership agreement with
                    FHWA led to 2 month
                    assessment with student interns
                    using a modified ultra-light, slow-
                    speed inertial profiler (ULIP)
                    mounted on a Segway HT.




 Coordinated staffing & funding commitment from three agencies
 from three levels of government.
ULIP Technology
            Starodub, Inc. developed
            R&D prototype ULIP


       Sensor box includes:
       1. a displacement laser
          (texture/profile/height),
       2. three accelerometers (inertial
          profiling),
       3. a gyroscope (pitch, roll, yaw),
       4. optical trigger (reference),
       5. GPS (general location), and
       6. a DMI (travel distance system).

       Computer and data acquisition card
       are used for data capture.
ULIP Relative to Surface
Distance Measurement Instrument (DMI) Calibration:
Requires rider and tire pressure specific calibration.
ADA Sidewalk Compliance Criteria
Together, these devices enable the City to measure the
sidewalk surface at a rate of 10,000 records per second
capturing highly accurate information about slope and small
surface variations that can make a sidewalk difficult to navigate.

   Running Slope            Cross Slope          Change in Level




   1:20 (5%) max          1:50 (2%) max           1/4 inch max
    ADAAG 4.8             ADAAG 4.3.7             ADDAG 4.5.2
Movable Obstructions/Driveways/Protrusions
Key-press events: Time/distance coding of user defined features.




                   Movable              Protrusion
                             Driveway
ULIP Data Transfer




                  Data Capture                Data Acquisition




GIS Integration                  Data Processing
ADA Curb Ramp Compliance Criteria
Curb Ramp Inventory Toolkit
Curb Ramp Documentation
Topcon GMS-2 handheld GPS receiver:
 Equipped with a digital camera, graphic interface, & data
  entry form.
 Positional accuracy of GPS receiver is 1-3 meters.
 Receiver can load and display ortho-photos enabling field
  staff to zoom in and create points on specific curb ramps.
 Spatial resolution of ortho-photos is 1 foot per pixel.
GMS-2 Curb Ramp Data Dictionary
Ramp type: Directional; Perpendicular;          Landing panel: None (non-standard; >= 48 in.
Diagonal; Construction; None (indicates no      (best practices); 36-47 in. (standard); < 36 in.
ramp where ramp is needed)                      (non-standard)
Gutter running slope: Standard (≤5%); Non-
                                                Ramp width: ≥48 in. (best practices); 36-47 in.
standard (>5%)
                                                (standard); < 36 in. (non-standard)
Gutter cross-slope: Standard (≤2%); Non-
standard (>2%)                                  Ramp slope: <8.3% (standard); 8.3% - 10%
                                                (non-standard); >10% (non-standard)
Transition: Free of heaves, gaps, and
obstructions (yes/no)                           Ramp cross-slope: <2% (standard); 2% - 4%
Clear space at bottom: 4’ x 4’ of clear space   (non-standard); >4% (non-standard)
at the bottom of a diagonal ramp, within
marked crosswalk (yes/no)                       Ramp flares: None; <=10% (standard); 10.1%
                                                - 12% (non-standard); >12% (non-standard)
Detectable warnings: 2’ x 4’ yellow panel of
truncated domes adjacent to gutter transition   Returned curbs: None (if no ramp flares);
(yes/no)                                        Standard (ramp is situated such that
Marked crossings: Curb ramp wholly              pedestrians will not walk across returned
contained within crosswalk markings (yes/ no)   curbs); Non-standard (returned curbs may
                                                present tripping hazard)
Landing slope: Landing slope does no
exceed 2% in any direction (yes/no)
GMS-2 Sidewalk Data Dictionary
Fixed Obstructions   Narrow Sidewalks
Quality Assurance/Quality Control
Nationally Recognized Best Practice

                       “Efforts such as those at the City
                       of Bellevue, Washington, that
                       rely on the collection of large
                       datasets at extremely fine spatial
                       and temporal disaggregation
                       levels have the potential to
                       significantly automate the
                       identification of non-compliant
                       locations in the field.”
NCHRP 20-07 Task 249   - Texas Transportation Institute
Attribute Accuracy of Data
Field technicians check the slope and grade of sidewalk
segment with smart level for QAQC validation of ULIP data.




   Cross Slope        Running Slope        Data Acquisition
Validation Report: Smart Level/ULIP
                                                          Cross Slope Data Verification

                                            10

                                            8




                           Cross Slope %
                                            6                                               Smart Level Reading
                                                                                            ULIP Survey
                                            4
                                                                                            ADAAG Compliance
                                            2

                                            0




                                             0

                                                 8
                                                     16

                                                          24

                                                               32

                                                                    40

                                                                         48

                                                                                56

                                                                                     64
                                                               Distance (ft.)




 ULIP data consistently                                  Running Slope Data Verification

  follows with the Smart                    14

  Level’s peaks and                         12
                           Running Slope%



                                            10
                                                                                            Smart Level Reading
  troughs at test sites.                    8
                                                                                            ULIP Survey
                                            6
                                                                                            ADAAG Compliance
                                            4
 Rise versus Running                       2

  Distance compared to                      0
                                             0

                                                 8
                                                     16

                                                          24

                                                               32

                                                                    40

                                                                         48

                                                                                56

                                                                                     64
  ADAAG.                                                       Distance (ft)
ULIP Path Repeatability for Grade
                             ULIP Grade (4 runs) vs Smart Level

          9


          8


          7

                                                                        1024
          6                                                             1026
                                                                        1027
Grade %




          5                                                             1028
                                                                        SL

          4


          3


          2


          1


          0
              80       100        120         140         160     180          200
                                              Feet
ULIP Path Repeatability for Cross Slope
                              ULIP Cross Slope (4 Runs) vs Smart Level

                  4


                 3.5


                  3
 Cross Slope %




                 2.5


                  2


                 1.5

                                                                               1024
                  1                                                            1026
                                                                               1027
                                                                               1028
                 0.5
                                                                               SL


                  0
                       80   100        120        140        160         180          200
                                                 Feet


Site was a sidewalk with two successive driveway crossings.
Change in Level Output Reports
Field Validation Mode   ASCII text file   Data in City’s GIS




                           QA/QC
Positional Accuracy of Data
        Streaming GPS              Sensor-based inertial navigation




Bellevue testing with global       Start/end points for each data
navigation satellite system        collection run entered on an
(GPS) found the accuracy of        ortho-photo image on the ULIP’s
latitude/longitude data degraded   notebook computer screen. The
in areas with tall buildings or    gyroscope and distance
thick tree canopies.               measurement instrument were
                                   used to compute path of travel.
Roadway Grade Analysis
Measurement of Grade
Maximum grade is defined as a limited section of path that
exceeds the typical running grade.
Raw Data Allows for Infinite Re-analysis
                                      Averaging Window SIze Effect on Grade (%)

                9
                                                                                               1G
                8
                                                                                               2G
                7                                                                              3G
                                                                                               4G
                6                                                                              5G
                                                                                               10 G
                5                                                                              20 G
                                                                                               30 G
                4
      Grade %




                                                                                               40 G
                                                                                               50 G
                3

                2

                1

                 0
                 1325   1330   1335     1340    1345        1350         1355   1360   1365   1370    1375
                -1

                -2

                -3
                                                       Distance (Feet)




Grade and Cross Slope Averaging Window Size:
• In the ULIP Geometry Equation, the user specifies the grade and cross
  slope window size in feet to be applied in a moving average computation.
• The graph illustrates the effect of moving average window size. The larger
  the value, the more dampened out the features.
User-Specified Window Size

FHWA guidance on grade and cross-slope:
“should be measured over 2 ft intervals, the approximate
length of a wheelchair wheelbase, or a single walking pace.”


  Original profile
            Current position
                          Smoothed profile




                            Average height
                            of shaded area
                B
Grade Compliance Criteria
An accessible route with a running slope greater than 1:20 (5%)
is a ramp and shall comply with ADAAG 4.8. (ADAAG 4.3.7)


   level            surface of
 landing              ramp
                                                          Maximum slope 8.33%
                                          level           Maximum rise for any run shall be 30”
                                        landing           Minimum clear width shall be 36”
                                                          Level landings at bottom and top of
30” max.




             horizontal projection                         each ramp
  rise




                    or run




    Slope                            Maximum Rise (inches)             Construction Type
    1:20 to 1:16 (5% to 6.3%)                     30                New const. & modifications
    1:16 to 1:12 (6.3% to 8.3%)                   30                New const. & modifications
    1:12 to 1:10 (8.3% to 10%)                    6                     Modifications only
    1:10 to 1:8 (10%- 12.5%)                      3                     Modifications only
Grade (Ramp Type) Classification
                                            Slope   Max Rise       Max Run          Grade
Ramp type 1 meets the                                 (in.)          (ft.)          Type
definition of a ramp (>= 5%) but       >=   5.0%    0          0                      1
is not regarded as having a non-
standard grade.                    >=       5.0%    30         50            1:20    30
                                            5.5%    30         45.5
                                            6.0%    30         41.7

Ramp type 30 has a rise of 30 in            6.5%    30         38.5

and run between 30 to 50 ft.                7.0%    30         35.7

(5% >= x <= 8.33%)                          7.5%    30         33.3
                                            8.0%    30         31.3
                                   <        8.33%   30         30.0          1:12
                                            8.33%   6          6.0           1:12     6
Ramp type 6 has a rise of 6 in              8.5%    6          5.9
and run between 6 & 5 ft.                   9.0%    6          5.6
(8.33% >= x <= 10%)                         9.5%    6          5.3
                                   <        10.0%   6          5.0           1:10
                                   >        10.0%   3          2.5           1:10     3
Ramp type 3 has a rise of 3 in              10.5%   3          2.4
and run between 2 & 2.5 ft.                 11.0%   3          2.3
(10% >= x <= 12.5 %)                        11.5%   3          2.2
                                            12.0%   3          2.1
Ramp type 99 has a rise greater    <=       12.5%   3          2.0           1:8
than 1.5 over 1 ft. (> 12.5 %)     >        12.5%   >1.5       1.0                   99
Determination of “Technical Infeasibility”




                     Location: SE 56th Street & 175th Place SE



  “Because of the constraints imposed by right-of-way width, the
  pedestrian access route (PAR) is relieved of the slope limits
  that would apply to an accessible route on a site provided it
  matches the general grade of the adjacent roadway.”
  - Revised Draft Guidelines for Accessible Public Rights-of-Way; R301.4
Digital Elevation Model

 DEM (Digital Elevation Model) data in
  GIS used to determine grade of
  streets for this analysis.
 A DEM is a grid in which each cell
  represents an elevation. The City
  contracts with private vendors for
  updated DEM information
  approximately every 2 years.
 For a given section of road, grade is
  calculated as Rise/Run. In this
  equation the length of the road
  section provides the Run. The DEM
  provides the Rise.
GIS Script
The GIS script loops through all non-standard sidewalk grade cases.
For each location, the sidewalk grade is compared with the grade of
the adjacent street (DEM), allowing for identification of sidewalks
where high grade values are due to topographic factors. Once this
information is recorded for each location, criteria can be defined to
filter out locations which are considered “technically infeasible”.



        Roadway: 1%                             Roadway: 10%


  Sidewalk: 10%                          Sidewalk: 10%


     Non-Standard                           Compliant due
     Running Slope                           to technical
       Location                              infeasibility
Digital Elevation Model Calculation


134 miles
Digital Elevation Model Calculation


134 miles
95 miles
Digital Elevation Model Calculation


134 miles
95 miles
39 miles
NE 8th Street Example

The sidewalk slope
does not conform to
the roadway slope.
The sidewalk is
classified as a Ramp
Type 30, which has a
running slope
between 5 and 8
percent over a
distance of 30 feet or
greater. The road
adjacent to it, has a
slope of 5 percent.
NE 8th Street Example




The road slope where it is greater than 5 percent (red) is deemed
technically infeasible according to ADDAG documentation.
Sidewalks with adjacent road slopes that are less than 5 percent
are identified as non-standard.
Driveway Cross Slope Analysis
Driveway Standards

       Slope down at   (8.3%)
           1:12



                         2% cross-slope


   Apron, may be any
    acceptable grade
                                    Slope
                                    up at
                                     1:12 (8.3%)

 Certain grades and slopes must be maintained.
 2% cross-slope,
 8.33% max ramp slopes if used.
Bellevue Design Manual
Bellevue employs a number of accessible driveway designs to maintain an
acceptable cross slope and facilitate wheelchair movement at driveways.




As reflected in DEV-7D above, securing additional right-of-way from the
adjacent property is a good strategy for improving pedestrian access on
narrow sidewalks. This design allows pedestrians to maintain a level path
as they cross the driveway.
Project Approach
Driveway crossings without landings confront wheelchair users with
severe and rapidly changing slopes at the driveway flare.




A series of driveway apron flares   The driveway analysis is based on ULIP
with 11% cross slope                recordings taken by field staff at the center
measurements at 130th Avenue        points of driveways. Using GIS, any non-
SE & SE 26th Street.                standard cross slope values within buffer are
                                    attributed to the driveway aprons.
Cross Slope Findings




1. Over 50% of Bellevue’s 8+ percent cross slope measurements are
   attributable to driveway aprons.
2. Number increases as cross slope values increase, with 70% of 10+
   percent cross slope measurements attributable to driveway aprons.
3. Overall, 19% of all non-standard cross slope measurements are
   attributable to driveway aprons constructed like ramps, with steep,
   short side flares.
ADA Viewer Interface
Identify/ Print
                             ADA Viewer Window   Navigation    Extents Locate by
            Toggle Bar                                        Navigation Address




Legend/
 Layers




Location
  Map
ADA Viewer
Barrier Ranking Analysis
Compliance vs. Accessibility
ADA tells us which features are non-standard …




... But it doesn’t tell us which of these non-standard
                      features should be replaced first.
Community Outreach Requirements
   Provide opportunity to interested persons and
    groups to participate in self-evaluation leading to
    transition plan. 28 C.F.R. 35.105(b).
   Make self-evaluation and plan available for public
    inspection. Specific time frames and information
    required. 28 C.F.R. 35.105(c).




Poster at Open House   Mail-Back Survey   Curb Ramp Assessments
Accessibility Evaluations
Bellevue Approach:

 Accessibility evaluations in
  the field with Bellevue
  residents who are Access
  para-transit customers.
 For each ramp, participants
  filled out an evaluation form.
 Assessed in a general
  fashion the impact of each
  curb ramp feature (panel
  size, ramp cross slope, etc)
  on accessibility.
Barrier Ranking Analysis

             Land
             Use                Ramps
Streets              Paths



          Census             Islands




     Activity           Impedance       Barrier
      Score               Score         Ranking
GIS-Based Prioritization Tool
Allows users to adjust the weights for each criteria and run the
analysis iteratively for validation purposes.
Legend
Legend
Legend
Programming of Asset Improvements
Implementation Schedule
NE 8th Street Widening Project

            Block ID: 1035    Summer 2009 - A new
                               sidewalk and curb ramps were
                               built next to the new
                               westbound lane.

                              Project enhanced pedestrian
                               facilities by removing fixed
                               obstructions and improving
                               sidewalk surface conditions
                               (both changes in level and
                               slope variations).

                              Addressed barriers to
                               accessibility in a downtown
                               Bellevue location that has high
                               volumes of pedestrian usage.
Corrective Measures
Curb Ramp Improvements




From 2007 through 2009, Bellevue will have spent more
than $2 million to upgrade nearly 300 curb ramps citywide.
For More Information
The ADA Sidewalk and Curb Ramp Self-Evaluation Report is
located at: http://www.bellevuewa.gov/accessibility-reports.htm




 The project manager, Franz Loewenherz, can be reached at
 425-452-4077 or FLoewenherz@bellevuewa.gov

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2009 APWA International Public Works Congress

  • 1. Asset Management for ADA Compliance Using Advanced Technologies American Public Works Association 2009 International Public Works Congress Franz Loewenherz Senior Transportation Planner City of Bellevue September 14, 2009
  • 2. Presentation Outline 1. ADA Culture of Compliance 2. ADA Sidewalk & Curb Ramp Self Evaluation 3. Data Collection 4. Quality Assurance/Quality Control 5. Roadway Grade Analysis 6. Driveway Cross Slope Analysis 7. ADA Viewer Interface 8. Barrier Ranking Analysis 9. Programming of Asset Improvements
  • 3. ADA Culture of Compliance
  • 4. Americans with Disabilities Act (ADA) Title II – Government Services: Must ensure that individuals with disabilities are not excluded from programs, services, and activities (pedestrian facilities are an example of a program).
  • 5. Title II Elements 28 CFR 35.105 28 CFR 35.150(d)(3)
  • 6. City of Bellevue (WA) Approximately 15 percent of residents live with developmental, physical, and mental disabilities. The City of Bellevue is a diverse community of 120,000 residents.
  • 7. % Population 65+ (Central Puget Sound) 18% 17% 16.7% 16% 15% 14% 13% 12% 11% 10% 9% 8.6% 8% 1970 1 1980 2 1990 3 2000 4 2010 5 2020 6 2030 7 2040 8 As the population continues to age, the number of people with mobility disabilities is expected to increase.
  • 8. ADA Title II Compliance Flowchart Self Evaluation Program & Facility Accessibility
  • 9. Policy Commitment Policy TR-26: Address the special needs of physically challenged and disabled citizens in planning, designing, implementing, and maintaining transportation improvements, particularly non-motorized improvements, and other transportation facilities, and in delivering transportation services and programs, in accordance with the Americans with Disabilities Act (ADA).
  • 10. Bellevue ADA Sidewalk & Curb Ramp Self Evaluation
  • 11. Sidewalk & Curb Ramp Inventory Overview Top Landing Moveable Obstruction Absence of level landing Tactile Warning Fixed Obstruction Heaving Ramp cross slope Bottom Landing No Ramp Ramp Transition
  • 12. Guidance for Conducting an ADA Inventory
  • 13. Numerous Methodologies U.S. Dept of Justice Texas DOT Maryland State Highway Summer 2006. Bellevue conducted 2 week assessment with professional staff using equipment for land surveys. Estimated cost in excess of $1M. City of Sacramento Florida DOT
  • 14. Project Approach 1 2 3 Data Collection Database Analysis Barrier Ranking Disability Community Participation
  • 16. Inertial Profilers Profiling systems originally developed by GM Labs in the 1970s. Used in both the aerospace and roadway construction industries
  • 17. Technology Development Partnership Summer 2007. Research partnership agreement with FHWA led to 2 month assessment with student interns using a modified ultra-light, slow- speed inertial profiler (ULIP) mounted on a Segway HT. Coordinated staffing & funding commitment from three agencies from three levels of government.
  • 18. ULIP Technology Starodub, Inc. developed R&D prototype ULIP Sensor box includes: 1. a displacement laser (texture/profile/height), 2. three accelerometers (inertial profiling), 3. a gyroscope (pitch, roll, yaw), 4. optical trigger (reference), 5. GPS (general location), and 6. a DMI (travel distance system). Computer and data acquisition card are used for data capture.
  • 19. ULIP Relative to Surface Distance Measurement Instrument (DMI) Calibration: Requires rider and tire pressure specific calibration.
  • 20. ADA Sidewalk Compliance Criteria Together, these devices enable the City to measure the sidewalk surface at a rate of 10,000 records per second capturing highly accurate information about slope and small surface variations that can make a sidewalk difficult to navigate. Running Slope Cross Slope Change in Level 1:20 (5%) max 1:50 (2%) max 1/4 inch max ADAAG 4.8 ADAAG 4.3.7 ADDAG 4.5.2
  • 21. Movable Obstructions/Driveways/Protrusions Key-press events: Time/distance coding of user defined features. Movable Protrusion Driveway
  • 22. ULIP Data Transfer Data Capture Data Acquisition GIS Integration Data Processing
  • 23. ADA Curb Ramp Compliance Criteria
  • 25.
  • 26.
  • 27.
  • 28. Curb Ramp Documentation Topcon GMS-2 handheld GPS receiver:  Equipped with a digital camera, graphic interface, & data entry form.  Positional accuracy of GPS receiver is 1-3 meters.  Receiver can load and display ortho-photos enabling field staff to zoom in and create points on specific curb ramps.  Spatial resolution of ortho-photos is 1 foot per pixel.
  • 29. GMS-2 Curb Ramp Data Dictionary Ramp type: Directional; Perpendicular; Landing panel: None (non-standard; >= 48 in. Diagonal; Construction; None (indicates no (best practices); 36-47 in. (standard); < 36 in. ramp where ramp is needed) (non-standard) Gutter running slope: Standard (≤5%); Non- Ramp width: ≥48 in. (best practices); 36-47 in. standard (>5%) (standard); < 36 in. (non-standard) Gutter cross-slope: Standard (≤2%); Non- standard (>2%) Ramp slope: <8.3% (standard); 8.3% - 10% (non-standard); >10% (non-standard) Transition: Free of heaves, gaps, and obstructions (yes/no) Ramp cross-slope: <2% (standard); 2% - 4% Clear space at bottom: 4’ x 4’ of clear space (non-standard); >4% (non-standard) at the bottom of a diagonal ramp, within marked crosswalk (yes/no) Ramp flares: None; <=10% (standard); 10.1% - 12% (non-standard); >12% (non-standard) Detectable warnings: 2’ x 4’ yellow panel of truncated domes adjacent to gutter transition Returned curbs: None (if no ramp flares); (yes/no) Standard (ramp is situated such that Marked crossings: Curb ramp wholly pedestrians will not walk across returned contained within crosswalk markings (yes/ no) curbs); Non-standard (returned curbs may present tripping hazard) Landing slope: Landing slope does no exceed 2% in any direction (yes/no)
  • 30. GMS-2 Sidewalk Data Dictionary Fixed Obstructions Narrow Sidewalks
  • 32. Nationally Recognized Best Practice “Efforts such as those at the City of Bellevue, Washington, that rely on the collection of large datasets at extremely fine spatial and temporal disaggregation levels have the potential to significantly automate the identification of non-compliant locations in the field.” NCHRP 20-07 Task 249 - Texas Transportation Institute
  • 33. Attribute Accuracy of Data Field technicians check the slope and grade of sidewalk segment with smart level for QAQC validation of ULIP data. Cross Slope Running Slope Data Acquisition
  • 34. Validation Report: Smart Level/ULIP Cross Slope Data Verification 10 8 Cross Slope % 6 Smart Level Reading ULIP Survey 4 ADAAG Compliance 2 0 0 8 16 24 32 40 48 56 64 Distance (ft.)  ULIP data consistently Running Slope Data Verification follows with the Smart 14 Level’s peaks and 12 Running Slope% 10 Smart Level Reading troughs at test sites. 8 ULIP Survey 6 ADAAG Compliance 4  Rise versus Running 2 Distance compared to 0 0 8 16 24 32 40 48 56 64 ADAAG. Distance (ft)
  • 35. ULIP Path Repeatability for Grade ULIP Grade (4 runs) vs Smart Level 9 8 7 1024 6 1026 1027 Grade % 5 1028 SL 4 3 2 1 0 80 100 120 140 160 180 200 Feet
  • 36. ULIP Path Repeatability for Cross Slope ULIP Cross Slope (4 Runs) vs Smart Level 4 3.5 3 Cross Slope % 2.5 2 1.5 1024 1 1026 1027 1028 0.5 SL 0 80 100 120 140 160 180 200 Feet Site was a sidewalk with two successive driveway crossings.
  • 37. Change in Level Output Reports Field Validation Mode ASCII text file Data in City’s GIS QA/QC
  • 38. Positional Accuracy of Data Streaming GPS Sensor-based inertial navigation Bellevue testing with global Start/end points for each data navigation satellite system collection run entered on an (GPS) found the accuracy of ortho-photo image on the ULIP’s latitude/longitude data degraded notebook computer screen. The in areas with tall buildings or gyroscope and distance thick tree canopies. measurement instrument were used to compute path of travel.
  • 40. Measurement of Grade Maximum grade is defined as a limited section of path that exceeds the typical running grade.
  • 41. Raw Data Allows for Infinite Re-analysis Averaging Window SIze Effect on Grade (%) 9 1G 8 2G 7 3G 4G 6 5G 10 G 5 20 G 30 G 4 Grade % 40 G 50 G 3 2 1 0 1325 1330 1335 1340 1345 1350 1355 1360 1365 1370 1375 -1 -2 -3 Distance (Feet) Grade and Cross Slope Averaging Window Size: • In the ULIP Geometry Equation, the user specifies the grade and cross slope window size in feet to be applied in a moving average computation. • The graph illustrates the effect of moving average window size. The larger the value, the more dampened out the features.
  • 42. User-Specified Window Size FHWA guidance on grade and cross-slope: “should be measured over 2 ft intervals, the approximate length of a wheelchair wheelbase, or a single walking pace.” Original profile Current position Smoothed profile Average height of shaded area B
  • 43. Grade Compliance Criteria An accessible route with a running slope greater than 1:20 (5%) is a ramp and shall comply with ADAAG 4.8. (ADAAG 4.3.7) level surface of landing ramp  Maximum slope 8.33% level  Maximum rise for any run shall be 30” landing  Minimum clear width shall be 36”  Level landings at bottom and top of 30” max. horizontal projection each ramp rise or run Slope Maximum Rise (inches) Construction Type 1:20 to 1:16 (5% to 6.3%) 30 New const. & modifications 1:16 to 1:12 (6.3% to 8.3%) 30 New const. & modifications 1:12 to 1:10 (8.3% to 10%) 6 Modifications only 1:10 to 1:8 (10%- 12.5%) 3 Modifications only
  • 44. Grade (Ramp Type) Classification Slope Max Rise Max Run Grade Ramp type 1 meets the (in.) (ft.) Type definition of a ramp (>= 5%) but >= 5.0% 0 0 1 is not regarded as having a non- standard grade. >= 5.0% 30 50 1:20 30 5.5% 30 45.5 6.0% 30 41.7 Ramp type 30 has a rise of 30 in 6.5% 30 38.5 and run between 30 to 50 ft. 7.0% 30 35.7 (5% >= x <= 8.33%) 7.5% 30 33.3 8.0% 30 31.3 < 8.33% 30 30.0 1:12 8.33% 6 6.0 1:12 6 Ramp type 6 has a rise of 6 in 8.5% 6 5.9 and run between 6 & 5 ft. 9.0% 6 5.6 (8.33% >= x <= 10%) 9.5% 6 5.3 < 10.0% 6 5.0 1:10 > 10.0% 3 2.5 1:10 3 Ramp type 3 has a rise of 3 in 10.5% 3 2.4 and run between 2 & 2.5 ft. 11.0% 3 2.3 (10% >= x <= 12.5 %) 11.5% 3 2.2 12.0% 3 2.1 Ramp type 99 has a rise greater <= 12.5% 3 2.0 1:8 than 1.5 over 1 ft. (> 12.5 %) > 12.5% >1.5 1.0 99
  • 45.
  • 46. Determination of “Technical Infeasibility” Location: SE 56th Street & 175th Place SE “Because of the constraints imposed by right-of-way width, the pedestrian access route (PAR) is relieved of the slope limits that would apply to an accessible route on a site provided it matches the general grade of the adjacent roadway.” - Revised Draft Guidelines for Accessible Public Rights-of-Way; R301.4
  • 47. Digital Elevation Model  DEM (Digital Elevation Model) data in GIS used to determine grade of streets for this analysis.  A DEM is a grid in which each cell represents an elevation. The City contracts with private vendors for updated DEM information approximately every 2 years.  For a given section of road, grade is calculated as Rise/Run. In this equation the length of the road section provides the Run. The DEM provides the Rise.
  • 48. GIS Script The GIS script loops through all non-standard sidewalk grade cases. For each location, the sidewalk grade is compared with the grade of the adjacent street (DEM), allowing for identification of sidewalks where high grade values are due to topographic factors. Once this information is recorded for each location, criteria can be defined to filter out locations which are considered “technically infeasible”. Roadway: 1% Roadway: 10% Sidewalk: 10% Sidewalk: 10% Non-Standard Compliant due Running Slope to technical Location infeasibility
  • 49. Digital Elevation Model Calculation 134 miles
  • 50. Digital Elevation Model Calculation 134 miles 95 miles
  • 51. Digital Elevation Model Calculation 134 miles 95 miles 39 miles
  • 52. NE 8th Street Example The sidewalk slope does not conform to the roadway slope. The sidewalk is classified as a Ramp Type 30, which has a running slope between 5 and 8 percent over a distance of 30 feet or greater. The road adjacent to it, has a slope of 5 percent.
  • 53. NE 8th Street Example The road slope where it is greater than 5 percent (red) is deemed technically infeasible according to ADDAG documentation. Sidewalks with adjacent road slopes that are less than 5 percent are identified as non-standard.
  • 55. Driveway Standards Slope down at (8.3%) 1:12 2% cross-slope Apron, may be any acceptable grade Slope up at 1:12 (8.3%)  Certain grades and slopes must be maintained.  2% cross-slope,  8.33% max ramp slopes if used.
  • 56. Bellevue Design Manual Bellevue employs a number of accessible driveway designs to maintain an acceptable cross slope and facilitate wheelchair movement at driveways. As reflected in DEV-7D above, securing additional right-of-way from the adjacent property is a good strategy for improving pedestrian access on narrow sidewalks. This design allows pedestrians to maintain a level path as they cross the driveway.
  • 57. Project Approach Driveway crossings without landings confront wheelchair users with severe and rapidly changing slopes at the driveway flare. A series of driveway apron flares The driveway analysis is based on ULIP with 11% cross slope recordings taken by field staff at the center measurements at 130th Avenue points of driveways. Using GIS, any non- SE & SE 26th Street. standard cross slope values within buffer are attributed to the driveway aprons.
  • 58. Cross Slope Findings 1. Over 50% of Bellevue’s 8+ percent cross slope measurements are attributable to driveway aprons. 2. Number increases as cross slope values increase, with 70% of 10+ percent cross slope measurements attributable to driveway aprons. 3. Overall, 19% of all non-standard cross slope measurements are attributable to driveway aprons constructed like ramps, with steep, short side flares.
  • 60. Identify/ Print ADA Viewer Window Navigation Extents Locate by Toggle Bar Navigation Address Legend/ Layers Location Map
  • 62.
  • 63.
  • 64.
  • 65.
  • 66.
  • 67.
  • 68.
  • 69.
  • 70.
  • 72. Compliance vs. Accessibility ADA tells us which features are non-standard … ... But it doesn’t tell us which of these non-standard features should be replaced first.
  • 73. Community Outreach Requirements  Provide opportunity to interested persons and groups to participate in self-evaluation leading to transition plan. 28 C.F.R. 35.105(b).  Make self-evaluation and plan available for public inspection. Specific time frames and information required. 28 C.F.R. 35.105(c). Poster at Open House Mail-Back Survey Curb Ramp Assessments
  • 74. Accessibility Evaluations Bellevue Approach:  Accessibility evaluations in the field with Bellevue residents who are Access para-transit customers.  For each ramp, participants filled out an evaluation form.  Assessed in a general fashion the impact of each curb ramp feature (panel size, ramp cross slope, etc) on accessibility.
  • 75. Barrier Ranking Analysis Land Use Ramps Streets Paths Census Islands Activity Impedance Barrier Score Score Ranking
  • 76. GIS-Based Prioritization Tool Allows users to adjust the weights for each criteria and run the analysis iteratively for validation purposes.
  • 80. Programming of Asset Improvements
  • 82. NE 8th Street Widening Project Block ID: 1035  Summer 2009 - A new sidewalk and curb ramps were built next to the new westbound lane.  Project enhanced pedestrian facilities by removing fixed obstructions and improving sidewalk surface conditions (both changes in level and slope variations).  Addressed barriers to accessibility in a downtown Bellevue location that has high volumes of pedestrian usage.
  • 84. Curb Ramp Improvements From 2007 through 2009, Bellevue will have spent more than $2 million to upgrade nearly 300 curb ramps citywide.
  • 85. For More Information The ADA Sidewalk and Curb Ramp Self-Evaluation Report is located at: http://www.bellevuewa.gov/accessibility-reports.htm The project manager, Franz Loewenherz, can be reached at 425-452-4077 or FLoewenherz@bellevuewa.gov