Evaluation and Optimization of Cultural Perception of Coastal Greenway Landscape Based on Structural Equation Model

Int J Environ Res Public Health. 2023 Jan 31;20(3):2540. doi: 10.3390/ijerph20032540.

Abstract

The island-type greenway should emphasize the role of maintaining and promoting the island cultural landscape as it serves the function of a general greenway green infrastructure while also having a unique landscape appearance. The northern greenway of Pingtan is used as an example in the paper to illustrate how regional culture is perceived. The first part of the analysis looks at how demographic factors affect the quality of cultural perception. The study reveals that: from a gender perspective, women are more likely than men to perceive regional culture; from an age perspective, people between the ages of 18 and 40 are more likely to perceive regional culture; older people and children are less likely to perceive regional culture; and from a level of education perspective, the higher the education, the stronger the perception. The relationship between tourists' perceived quality, cognitive image, perceived value, satisfaction, and loyalty to the cultural expression of the greenway landscape is then analyzed by building a structural equation model. According to the findings, visitors' perceptions of the island's cultural quality have a positive impact on their cognitive images and perceptions of value, while their satisfaction with the cultural expressions along the coastal greenway has a positive impact on their loyalty.

Keywords: cultural perception; island-type greenway; landscape evaluation; regional culture; structural equation model.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Child
  • Female
  • Humans
  • Male
  • Perception*
  • Personal Satisfaction*
  • Young Adult

Grants and funding

Funding came from the Industrial Material Forest Research Institute of Fujian Agriculture and Forestry University, which is supported by the Natural Science Foundation of Fujian Province, through Grant Award Number 2019J01663.