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Mae Davenport, PhD, Associate Professor, Department of Forest Resources Cindy Zerger, MURP/MLA,...

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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
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Mae Davenport, PhD, Associate Professor, Department of Forest ResourcesCindy 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 29th, 2011 – Minnesota APA Conference

inventory

framework partner efforts network of parks & trails

Project Process

Project Overview

Legacy Amendment

Legislative Charge

•Responds to Needs

•Recreational Trends

• A Growing & Diversifying Populace

• Identifies Efficiencies & Leverages Resources

• Suggests Linkages Within & Between Systems

GoalAn Integrated, Synergistic Statewide Parks & Trails Network

Project Overview

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

Geodatabase: Useful Decision Making Tool•Officials: State, Federal, Regional, Local

• Advocacy Groups

•Citizens

Project Overview

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

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

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

Physical Setting Inventory Process

Methods & Analysis

Methods & Analysis

27 trail attributes & 34 park attributes

Methods & Analysis

• In-holdings in State Parks

• Authorized State Trails

• Underserved Areas

• Potential connections and coordination in parks and trail systems

AnalysisPhysical Facilities: Gaps & Opportunities

Methods & Analysis

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

AnalysisRecreation 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

Regional FindingsRecreation 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

Findings

Eco-section FindingsRecreation 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

Future ApplicationsGoing 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

Future ApplicationsGoing 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

Potential Use of Data & Project InformationTransportation & Recreation Planning

Future road / trail (re)development

Cross-jurisdiction coordination

Future Applications

Potential Use of Data & Project InformationEnd users

• Interactive mapping• Wiki• Apps

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

Future Applications

Project Contributors

Mary Vogel, Principal Investigator: [email protected]

Mae Davenport, Co-Investigator: [email protected]

Ingrid Schneider, Co-Investigator: [email protected]

Cindy Zerger, Research Fellow & Project Manager: [email protected]

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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