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Mae Davenport, PhD, Associate Professor, Department of Forest Resources

Planning with Parks and Trails in Mind: Overview and Implications from Minnesota’s Network of Parks & Trails . September 29 th , 2011 – Minnesota APA Conference. Mae Davenport, PhD, Associate Professor, Department of Forest Resources

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Mae Davenport, PhD, Associate Professor, Department of Forest Resources

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  1. Planning with Parks and Trails in Mind: Overview and Implications from Minnesota’s Network of Parks & Trails September 29th, 2011 – Minnesota APA Conference Mae Davenport, PhD, Associate Professor, Department of Forest Resources Cindy Zerger, MURP/MLA, Research Fellow & Center Coordinator

  2. Project Process • Legacy Amendment • Legislative Charge inventory framework partner efforts network of parks & trails Project Overview

  3. Goal An Integrated, Synergistic Statewide Parks & Trails Network • Responds to Needs • Recreational Trends • A Growing & Diversifying Populace • Identifies Efficiencies & Leverages Resources • Suggests Linkages Within & Between Systems Project Overview

  4. Social Science: Regional Profiles • Recreation Experience Inventory • Region Profiles • Sociodemographics • Participation in Recreation Activities • Recreation Experiences and Conflict • Nature-Based Tourism Davenport, M.A., Schneider, I.E., Date, A. & Filter, L. (2011) Project Overview

  5. Geodatabase: Useful Decision Making Tool • Officials: State, Federal, Regional, Local • Advocacy Groups • Citizens Project Overview

  6. Inventory: What Is • Physical & Social Dimensions • Physical Settings: Local to Federal • On the Ground • Planned • Proposed • Recreation Experiences • Activities • Experiences sought • Conflict reported • Identifying Gaps Project Overview

  7. Parks & Trails Framework: What Could Be Tool to Support Decision-making at State & Local Levels • Integrated Network Guidelines • Adaptive management • Linked & complementary settings • Accessible • High quality recreation experiences • Mindful of population dynamics • Monitor / assess across three aspects: • Natural environment • Social environment • Built & managed environment Project Overview

  8. Physical Setting Inventory Process • Going beyond the legislative charge • Development of an agreed upon data model by project partners • Collecting and creating information Federal Lands and Trails State Lands and Trails Regionally Significant Lands and Trails Methods & Analysis

  9. Physical Setting Inventory Process Methods & Analysis

  10. Methods & Analysis

  11. 27 trail attributes & 34 park attributes Methods & Analysis

  12. Analysis Physical Facilities: Gaps & Opportunities • In-holdings in State Parks • Authorized State Trails • Underserved Areas • Potential connections and coordination in parks and trail systems Methods & Analysis

  13. Recreation Experience Inventory Process • Sociodemographic conditions and trends • Recreation opportunities including activities, experiences sought and conflict • Existing data (recreation research, monitoring efforts, planning documents) Federal Lands and Trails State Lands and Trails Regionally Significant Lands and Trails Methods & Analysis

  14. Analysis • Recreation Location Quotient (RLQ) • Snapshot of outdoor recreation resources (federal, state and regionally significant) • Area-based or population-based accounting for interregional demand • Comparison of regions/ecosections to the state standardized score (Minnesota = 1) 34,298 trail miles (Marcouiller & Prey 2005, 2009) 318 sites with selected facilities 11.3 M acres Methods & Analysis

  15. Regional Findings • Recreation Location Quotient (RLQ) • Outdoor Recreation Resource (ORR) areas • ORR trails (summer and winter) • Northeast and Northwest highest scores; South, Central and Metro lowest scores Area-based RLQ for trails Population-based RLQ for trails adjusted for interregional demand Methods & Analysis

  16. Eco-section Findings • Recreation Location Quotient (RLQ) • ORR areas and trails • For areas, Northland Superior Uplands had highest score, Red River Valley had lowest score • For summer trails, Southern Superior Highlands had highest score, North Central Glaciated Plains had lowest score Summer Trails Winter Trails Findings

  17. Future Applications • Going beyond the buffer • Focal-sum analysis of recreation areas: determines how many of each destination type (i.e. regional park) exists within a defined radius around each cell, and assigns that value to the cell. Future Applications

  18. Future Applications • Going beyond the buffer • Networked or street access for parks or trail access points • Access points on trail system (normalized by mile) Physical (in)activity, disease, safe routes to school, active living strategies Future Applications

  19. Potential Use of Data & Project Information Transportation & Recreation Planning Future road / trail (re)development Cross-jurisdiction coordination Future Applications

  20. Potential Use of Data & Project Information • End users • Interactive mapping • Wiki • Apps source: http://magic.cyclopath.org/# source: http://a2d.umn.edu/ Future Applications

  21. Minnesota’s Network of Parks & Trails Project Contributors Mary Vogel, Principal Investigator: vogel001@umn.edu Mae Davenport, Co-Investigator: mdaven@umn.edu Ingrid Schneider, Co-Investigator: ingridss@umn.edu Cindy Zerger, Research Fellow & Project Manager: czerger@umn.edu Brian Schreurs, GIS Analyst Andrew Oftedal, Research Assistant EgleVanagaite, Research Fellow Alex Smith, Research Assistant Lisa Filter, Research Assistant Andrea Date, Research Assistant Lisa Picone, Report Editor All project reports / maps are available at: http://ccl.design.umn.edu/mnpat.html

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