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Encounter Norm Analysis/Bukti
Catatan bukti metode

Encounter Norm Analysis

Encounter norm analysis is the normative-survey pipeline used to set standards for visitor impacts in parks and protected areas. Building on Vaske, Shelby, Graefe, and Heberlein's 1986 formalization of backcountry encounter norms, it asks recreationists to evaluate the acceptability of a range of conditions — most classically the number of other groups encountered per day, but also people at one time, campsite sharing, or depicted impact levels — and aggregates those evaluations into a social norm curve. The curve locates the minimum acceptable condition where acceptability crosses from positive to negative, supplying a defensible numeric standard. The method also quantifies the structural properties of norms: their intensity (how strongly conditions are evaluated), prevalence (whether respondents hold a norm at all), and crystallization (the degree of agreement), the last now commonly indexed by the Potential for Conflict Index (PCI2). Robert Manning's synthesis in Parks and Carrying Capacity made this normative approach the empirical core of indicators-and-standards frameworks.

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Catatan sumber

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Encounter Norm Analysis (Normative Standards and Acceptability Curves)
Catatan metode taksonomi · process-pipeline / sport-leisure-studies
  • Vaske, J. J., Shelby, B., Graefe, A. R., & Heberlein, T. A. (1986). Backcountry Encounter Norms: Theory, Method and Empirical Evidence. Journal of Leisure Research, 18(3), 137-153. · DOI 10.1080/00222216.1986.11969653
  • Manning, R. E. (2007). Parks and Carrying Capacity: Commons Without Tragedy. Washington, DC: Island Press. · ISBN 9781559631051
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Taxonomic bucketCrowding Norm Curve Analysismachine-suggested · Relational suggestion, not evidence.Same method familyRecreation Conflict and Coping Assessmentmachine-suggested · Relational suggestion, not evidence.Same method familyRecreation Specialization Continuummachine-suggested · Relational suggestion, not evidence.Same method familyRecreation Substitutability Analysismachine-suggested · Relational suggestion, not evidence.

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