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author:

Guo, Xuan (Guo, Xuan.) [1] | Liu, Jiang (Liu, Jiang.) [2] (Scholars:刘江) | Chen, Zhu (Chen, Zhu.) [3] | Hong, Xin-Chen (Hong, Xin-Chen.) [4] (Scholars:洪昕晨)

Indexed by:

EI Scopus SCIE

Abstract:

Soundscapes are important resources and contribute to high-quality visiting experiences in scenic areas. Based on a public investigation of 195 interviewees in the Kulangsu scenic area, this study aimed to explore the relationships between the harmonious degree of sound sources (SHD) and visiting experience indicators, in terms of soundscape perception, as well as the satisfaction degree of visual landscape and comprehensive impression. The results suggested that the dominating positions of human sounds did not totally suppress the perception of natural sounds such as birdsong and sea waves in the scenic area. Natural sound sources also showed a higher harmonious degree than other artificial sounds. Significant relationships existed between the SHD of most sound sources and the visiting experience indicators. Natural sounds were closely related to pleasant and comfortable soundscape perception, while mechanical sound sources were mainly related to eventful and varied soundscapes. The close relationships between certain sound sources and the satisfaction degree of the visual landscape and comprehensive impression evaluation indicated the effectiveness of audio-visual and even multi-sensory approaches to enhance visiting experience. The structural equation model further revealed that (1) natural sound was the most influential sound source of soundscape and visual landscape perception; (2) human sounds and mechanical sounds all showed significant positive effects on soundscape perception; and (3) indirect relationships could exist in the SHD of sound sources with comprehensive impression evaluation. The results can facilitate targeted soundscape and landscape management and landsense creation with the aim of improving visiting experience.

Keyword:

landscape scenic area sound perception soundscape structural equation model visiting experience

Community:

  • [ 1 ] [Guo, Xuan]Fuzhou Univ, Sch Architecture & Urban Rural Planning, Fuzhou 350108, Peoples R China
  • [ 2 ] [Liu, Jiang]Fuzhou Univ, Sch Architecture & Urban Rural Planning, Fuzhou 350108, Peoples R China
  • [ 3 ] [Chen, Zhu]Fuzhou Univ, Sch Architecture & Urban Rural Planning, Fuzhou 350108, Peoples R China
  • [ 4 ] [Hong, Xin-Chen]Fuzhou Univ, Sch Architecture & Urban Rural Planning, Fuzhou 350108, Peoples R China
  • [ 5 ] [Guo, Xuan]Ruhr Univ Bochum, Inst Geog, D-44801 Bochum, Germany
  • [ 6 ] [Liu, Jiang]Fuzhou Univ, Fujian Key Lab Digital Technol Terr Space Anal & S, Fuzhou 350108, Peoples R China
  • [ 7 ] [Hong, Xin-Chen]Fuzhou Univ, Fujian Key Lab Digital Technol Terr Space Anal & S, Fuzhou 350108, Peoples R China
  • [ 8 ] [Chen, Zhu]Leibniz Univ Hannover, Inst Environm Planning, Herrenhauser Str 2, D-30419 Hannover, Germany

Reprint 's Address:

  • [Liu, Jiang]Fuzhou Univ, Sch Architecture & Urban Rural Planning, Fuzhou 350108, Peoples R China;;[Liu, Jiang]Fuzhou Univ, Fujian Key Lab Digital Technol Terr Space Anal & S, Fuzhou 350108, Peoples R China;;

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Source :

FORESTS

ISSN: 1999-4907

Year: 2023

Issue: 1

Volume: 14

2 . 4

JCR@2023

2 . 4 0 0

JCR@2023

ESI Discipline: PLANT & ANIMAL SCIENCE;

ESI HC Threshold:18

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 15

SCOPUS Cited Count: 15

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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