GIS Technology and Tools for Long Range Transportation Planning in the National Park Service
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1 GIS Technology and Tools for Long Range Transportation Planning in the National Park Service Geospatial Information Systems for Transportation Symposium Loveland, Colorado April 16, 2012 Nell Blodgett Laura Pernice Jordan Hoaglund
2 Introduction Long Range Transportation Planning in the National Park Service GIS and Web Mapping for Transportation Planning Identifying Areas of Concern: An Overview of the PaTINA Method
3 Introduction to Long Range Transportation Planning in the National Park Service
4 Transportation in the NPS In the construction of roads, trails, buildings and other improvements, particular attention must be devoted always to the harmonizing of these improvements with the landscape. This is a most important item in our program of development and requires a proper appreciation of the esthetic value of park lands - NPS Statement of Policy (1918)
5 Transportation Systems in NPS Transit Systems: bus, trolley, tram, ferry/boat, rail transportation; stops; loading areas; maintenance facilities On-road systems: roads, bridges, parking lots, lighting, signage, traveler information, entry gates, etc. Aviation: air transport, runways, maintenance facilities, loading areas, air tour management Non-Motorized Systems: trails, pedestrians, bicycles, way-finding etc.
6 Long Range Transportation Plans Satisfy Guidance from the Department of Interior and NPS Comply with DOT Legislative Requirements Promote the themes and goals identified in the NPS Call to Action
7 Long Range Transportation Plans Timeframe- 20 years Fiscally Constrained Goals and Strategies for achieving NPS benefits & outcomes Data Based & Performance Driven
8 Long Range Transportation Plans National Regional Park Unit The National Park Service mission: to conserve the scenery and the natural and historic objects and the wildlife therein and to provide for the enjoyment of the same in such manner and by such means as will leave them unimpaired for the enjoyment of future generations (NPS Organic Act (16 USC 1; 1916)
9 Long Range Transportation Plan Federal Highways Transportation Requirements Roads, Bridges, Congestion, Safety
10 Long Range Transportation Plan NPS Mission Specific Components Visitor Experience Resource Stewardship Cultural/Historic & Natural Asset Management Climate Change Sustainability
11 GIS for Transportation Planning Golden Gate National Recreation Area (GOGA) LRTP Utilizing GIS as a framework for planning and analysis Intensive data collection, QA/QC, and data prep Web mapping as a method for data review and collaboration Spatial overlay analysis as a method to identify areas of concern or transportation hot spots
12 Collection Preparation Linkage to external systems Data Database schema LRTP GIS Maintenance Web Mapping Standardization Integration to enterprise systems Overlay analysis Tools Analysis Network analysis Modeling Forecasting future conditions Cost estimates
13 GIS Data and Web Mapping for Transportation Planning
14 Data Asset management roads, trails, buildings, parking, transit, safety, congestion Visitor experience - visitation stats, points of interest, viewsheds, socioeconomic data Resource stewardship natural and cultural resources Climate change and sustainability sea level rise, climate indicators Baseline conditions (basemap data)
15 Data Data collection is a multi-agency effort Federal Highways Road Inventory Program USFWS Threatened and endangered species; wetlands Local and regional authorities transit; multi-modal transportation NPS park specific data; natural/cultural resources; visitor experience
16 Data Data preparation Project geodatabase Transportation network roads; transit; nonmotorized transportation Fit to predefined geospatial data model *Linkage to asset management systems Deferred maintenance Condition indices Priority indices Pavement condition forecasts/modeled data
17 Data Data gaps Assess need Create new data if necessary Gather information from park staff Document gaps Data maintenance Vital to future project success Standardization to facilitate integration into enterprise datasets for region and nationwide analysis
18 Web Mapping Enable project team to view spatial information dynamically Empower planners to make spatially informed decisions Review analysis results Provide web-based editing services Improve workflow
19 Web Mapping ArcGIS Server Technology ArcGIS Server 10.0 REST API Optimized dynamic map services Project data to Web Mercator Design.mxd and create Map Service Definition (MSD) file Publish map service on internal or external server
20 Web Mapping Web application technology Geocortex Essentials REST Elements Geocortex Essentials Silverlight API Geocortex Essentials Manager Design web mapping site Configure REST Elements
21 Web Mapping Golden Gate NRA LRTP Provide QA/QC of data Review datasets and dataset applicability Visualize analysis results
22 Web Mapping Functionality Turn map layers on and off View different basemaps Create markup Export maps Add shapefiles Link to external databases Pop-up windows and identify functions
23 Web Mapping
24 Web Mapping
25 Web Mapping
26 Identifying Areas of Concern: An Overview of the PaTINA Method
27 Goal Where to focus resources and investment? Large, complex transportation network at Golden Gate Geographically (~400 miles of Network ) Issues and concerns Natural, cultural, infrastructure, visitor experience, safety GIS can identify patterns Coinciding (seemingly) unrelated variables Hot Spots Hot Spots = Areas of Concern Areas of Concern = A basis for focusing investment
28 In Development PaTINA = Park Transportation Investment Needs Analysis Early efforts to develop a repeatable methodology High level, generalized analysis Applicable to any National Park Intent is to facilitate analysis at the park, region, and national level Snapshot of our current direction
29 Method Additive overlay analysis x = (RRR + PPPPPP)
30 Method First Step: Break the problem down Input datasets and sub-models (sub-overlays) Data Data Trans. Infrastructure Sub-Model Data Data Resource Sensitivity Sub-Model Areas of Concern Data Data Visitor Experience Sub-Model
31 Visitor Experience Sub-Model Input Layers Iconic visitor travel corridors Gateways (1/4 mile buffer) First impressions Nodes (1/4 mile buffer) Bus to bike trail Points of interest (1/4 mile buffer) Visitor Centers, Attractions, Overlooks Visitation data Critical viewsheds Traffic data
32 Define Study Area The transportation network Model actual road, parking, and trail surface areas Merged surface areas become study area
33 Generate Model Inputs Vector-based analysis Clip raw input to study area Union result to study area Points of Interest Clip Clipped POI Union Model Input Study Area
34 Final Step Points of Interest Union Model Inputs Sum Values Reclassify Gateways Nodes Union Model Output Other Layers
35
36 Thank You
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