Pedestrian Data Collection and Consistency in Open Street Maps. April 20, 2018
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1 Pedestrian Data Collection and Consistency in Open Street Maps April 20, 2018
2 The Goal Data Collection and Consistency Obtain regionally consistent pedestrian asset data that supports: potential model improvements for pedestrian travel plan monitoring consistent evaluation of pedestrian connectivity needs region-wide the preservation and maintenance work program local needs
3 Transit Access Assessments Sound Transit and King County Metro study Analysis included: Intersection Density Route directness Signalized Arterial Crossings Sidewalk Coverage Projected increase in transit ridership Bike Stress Composite Connectivity Index
4 The Challenge Inconsistent data formats between jurisdictions data sets are difficult to integrate Inconsistent information different data points are collected and not consistent regionally Lack of data in some areas Longevity of data collection activities and updates Challenge of sharing and accessing data in one place
5 The Challenge Sidewalk Data Set Example: Inconsistent data formats and lack of detailed information Polygons Lines on both sides Center line with L/R attributes PDF map No additional data
6 Step 1: Sidewalk Network in OSM Start with entering sidewalk data into Open Street Maps (OSM) 1. Begin with access to transit locations 2. Prioritize where to begin: not to overlap what other agencies are doing suggest high capacity transit and ferries to start 3. Decide on the method: sidewalks as metadata to roads vs. sidewalks mapped as ways 4. Identify process (bulk import or manual coding) 5. Define essential tags that are needed for step 1 6. Get started
7 Why PSRC is choosing Open Street Maps Existing transit networks and tools already use OSM networks Open source opportunity for PSRC and partners to collectively contribute to one data set Data in OSM would benefit from analysis tools developed or being developed (AccessMap) Provides interoperability and maintainability
8
9 TriMet and OpenStreetMap Madeline Steele TriMet provides transit in Portland, Oregon region Leaders in open source tools/data Helped launch OpenTripPlanner (OTP) in 2009 Adopted OSM in 2011
10 Street Data Comparison - why TriMet chose OSM Commercial Costly Limited control over data quality and updates Centerline Files Free Limited coverage area Not designed for routing purposes OpenStreetMap Free Seamless coverage worldwide Designed for and supports multimodal routing Investment in community product for shared benefits More control, higher quality
11 Sidewalk Project Colored streets have sidewalk tags TriMet 2016 sidewalk tagging PBOT Growing Transit Communities Pilot Tagged before 2016 (by both TriMet and broader OSM community) OpenStreetMap Contributors. Esri basemap 11
12 2017 Expanding to seven counties 1/1/17: 35.7% complete 4/1/17: 72.2% complete 7/1/17: 85.7% complete
13 Step 1: Drawing in the sidewalk network
14 Sidewalks as metadata vs. sidewalks as ways
15 Why centerline tags and not separate ways? Speed and consistency Maintenance concerns Issues for trip plan narratives Sidewalks don t have names Many more segments Would require significant work on OTP code VS From
16 Sidewalk tagging method No imports fully manual Added centerline tag sidewalk=both left right no Outreach at meetups and via local OSM user group JOSM with sidewalk style Reference: Local shapefiles Best available imagery Divided street segments
17 Next steps for TriMet OSM Data Maintenance Focus on newly constructed areas QA/QC Continue exploring ways to get curb-level detail into OSM and OTP Expansion of Mapillary coverage?
18 OpenSidewalks in OSM (sidewalks as ways) Anat Caspi, PhD,
19 Enhancements made possible by OpenSidewalks Makes sidewalk attribute costing possible Truly any tags considered in routing and changed on the fly with user input. Sidewalk Curb cut Surface Elevation Elevators Construction Personalized interpretation
20 Enhancements made possible by sidewalks as ways Ability to look at travel via real ability-based isochrones (same color band = same time to travel) With OpenSidewalks: Clear data-driven infrastructure decisions Before OpenSidewalks: as the crow flies; zero consideration for pedestrian access
21 How do we get the data? Coordinate imports of open data OpenSidewalks tools UW can provide sidewalkify crossify Split into tasks Human verification
22 Open Imports 1. Create a proposal (example: Santa Clara County sidewalk import) 2. Gain permission to use the data in OSM 3. Announce to OSM community (OSM US Chapter) 4. Wait a reasonable period of time and if no-pushback, you start importing (two weeks-ish) 5. Import must conflate with existing data not much sidewalk data now so not much conflation done 6. Sidewalk imports would require adding in crossings after
23 How do we get the data? Take geotagged pictures Crowdsource the network from scratch Upload to a service Task + crowdsource
24 Mapillary crowdsourced street level views
25 Mapillary
26 Step 1: Sidewalk Network in OSM Start with entering sidewalk data into Open Street Maps (OSM) 1. Begin with access to transit locations 2. Prioritize where to begin: not to overlap what other agencies are doing suggest high capacity transit and ferries to start 3. Decide on the method: sidewalks as metadata to roads vs. sidewalks mapped as ways 4. Identify process (bulk import or manual coding) 5. Define essential tags that are needed for step 1 6. Get started
27 Choosing a Methodology Pilot study: Choose handful of existing or future transit hubs for pilot (places where there is added benefit without overlapping efforts) Test various methods (within ½ mile transit shed) and report on time and benefits of each : Manual coding of sidewalks as metadata Manual coding of sidewalks as ways Import sidewalks as ways Sidewalks, crossings
28 Step 2: Consistency for other attributes Identify what other attributes are important to collect Condition, accessibility, width, slope, etc. For what purpose access routing, maintenance costs, other local needs Work with BPAC and OSM Community on consistency of attributes OSM is a global community where some consistency (standards) have been set, some can be proposed Communicating the proposed framework
29 A potential menu approach Menu approach as guidance for local jurisdictions (example): recommend data points x, y and z are collected provide some networking approaches that can be integrated into regional data sets or OSM (example: ArcGIS for local governments) contribution of data collection into Open Street Maps Suggested process (sidewalks as metadata or ways) Suggested tagging of attributes
30 Kim Scrivner, PSRC Kim Scrivner
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