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Mae Davenport, PhD, Associate Professor, Department of Forest Resources Cindy Zerger, MURP/MLA, Research Fellow & Center Coordinator Planning with Parks.

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Presentation on theme: "Mae Davenport, PhD, Associate Professor, Department of Forest Resources Cindy Zerger, MURP/MLA, Research Fellow & Center Coordinator Planning with Parks."— Presentation transcript:

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

2 inventoryframeworkpartner effortsnetwork of parks & trails Project Process Project Overview Legacy Amendment Legislative Charge

3 Responds to Needs Recreational Trends A Growing & Diversifying Populace Identifies Efficiencies & Leverages Resources Suggests Linkages Within & Between Systems Goal An Integrated, Synergistic Statewide Parks & Trails Network 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 Tool to Support Decision-making at State & Local Levels Parks & Trails Framework: What Could Be 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 TrailsState Lands and TrailsRegionally Significant Lands and Trails Methods & Analysis

9 Physical Setting Inventory Process Methods & Analysis

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11 27 trail attributes & 34 park attributes Methods & Analysis

12 In-holdings in State Parks Authorized State Trails Underserved Areas Potential connections and coordination in parks and trail systems Analysis Physical Facilities: Gaps & Opportunities 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 TrailsState Lands and TrailsRegionally 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) Methods & Analysis (Marcouiller & Prey 2005, 2009) 318 sites with selected facilities 34,298 trail miles 11.3 M acres

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 Methods & Analysis Population-based RLQ for trails adjusted for interregional demand

16 Findings 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 Winter TrailsSummer Trails

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 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://a2d.umn.edu/ source: http://magic.cyclopath.org/# Future Applications

21 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 Egle Vanagaite, Research Fellow Alex Smith, Research Assistant Lisa Filter, Research Assistant Andrea Date, Research Assistant Lisa Picone, Report Editor Minnesota’s Network of Parks & Trails All project reports / maps are available at: http://ccl.design.umn.edu/mnpat.html


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