Heterogeneous preferences for social trail use in the urban forest: A latent class model

Taro Mieno, Yasushi Shoji, Tetsuya Aikoh, Arne Arnberger, Renate Eder

Research output: Contribution to journalArticlepeer-review

Abstract

This study explored visitors’ preferences for social conditions of trail use in urban forests. It is important to understand the heterogeneous nature of visitor preferences because the recreational use of urban forests is characterized by multipurpose uses with different visiting motivations. To understand preference heterogeneity, this study used a discrete choice experiment using a latent class model that incorporated motivational and sociodemographic factors as membership likelihood function. In 2006, 256 visitors to the Nopporo Forest Park, Hokkaido, in northern Japan, completed questionnaires with a series of discrete choice tasks using computer-manipulated images presenting various social conditions of trail use, such as visitor numbers and harvesting behavior on wild food plants. The study identified two visitor groups. One group consisted of more elders whose motivation was to enjoy the natural environment. Although they tended to tolerate crowded conditions, they particularly disliked plant pickers, who harvest wild vegetables alongside the trail. The other group was less tolerant of crowds, and enjoying the natural environment was not their primary purpose for visiting the park. These visitors especially disliked excessive numbers of visitors, but they did not dislike plant pickers. These results suggest that traditional park management assumptions about typical visitors poorly serve the heterogeneous nature of the visitor population.

Original languageEnglish (US)
Pages (from-to)20-28
Number of pages9
JournalUrban Forestry and Urban Greening
Volume19
DOIs
StatePublished - Sep 1 2016

Keywords

  • Discrete choice experiment
  • Harvesting wild food plants
  • Hokkaido, Japan
  • Motivations
  • Nopporo forest park

ASJC Scopus subject areas

  • Forestry
  • Ecology
  • Soil Science

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