Culture–Need Matching and Scenario-Based Evaluation for Sustainable Regeneration of Coastal Peri-Urban Parks: Evidence from Qingdao, China

Coastal peri-urban parks must simultaneously support ecological restoration, public recreation, cultural continuity, and long-term operation, yet reproducible methods for matching local cultural resources with renewal needs remain limited. Taking Yandao Mountain Park in Qingdao, China, as a case study, this research develops a culture–need matching and scenario-based evaluation framework integrating the Local Cultural Resource Identification Index (LCRI), Renewal Need Index (RNI), Culture–Renewal Need Matching Matrix (CRNM), Public Behaviour Activation Index (PBAI), and Sustainable Renewal Effect Index (SREI). Data were obtained from four field surveys, 318 valid questionnaires, 12 semi-structured interviews, GIS-supported spatial interpretation and Average Nearest Neighbor analysis, AHP weighting, two-round Delphi consultation, and sensitivity analysis. Beer culture, residents’ living memory, mountain–sea landscape imagery, and Liyuan courtyard culture showed strong identification bases, while functional integration, operational improvement, all-age sharing, and ecological restoration were the main renewal needs. CRNM revealed differentiated culture–need relationships that informed spatial translation and functional embedding. Under the proposed renewal scenario, the field-observed PBAI baseline of 0.46 was compared with a Delphi-calibrated scenario estimate of 0.82, while the estimated overall SREI was 0.87. These values indicate scenario-based potential for behavioural activation and sustainable renewal rather than verified post-implementation performance.

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Publication Details

Journal
Sustainability
Published
2026-08-03
DOI
https://doi.org/10.3390/su18157844
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Culture–Need Matching and Scenario-Based Evaluation for Sustainable Regeneration of Coastal Peri-Urban Parks: Evidence from Qingdao, China

Tongtong Zheng, Shiyu Yang, Ming Sun, Yiran Wang
Sustainability
Diverse Aspects of Tourism Research
article

Culture–Need Matching and Scenario-Based Evaluation for Sustainable Regeneration of Coastal Peri-Urban Parks: Evidence from Qingdao, China

Tongtong Zheng, Shiyu Yang, Ming Sun, Yiran Wang
article en

Abstract

Coastal peri-urban parks must simultaneously support ecological restoration, public recreation, cultural continuity, and long-term operation, yet reproducible methods for matching local cultural resources with renewal needs remain limited. Taking Yandao Mountain Park in Qingdao, China, as a case study, this research develops a culture–need matching and scenario-based evaluation framework integrating the Local Cultural Resource Identification Index (LCRI), Renewal Need Index (RNI), Culture–Renewal Need Matching Matrix (CRNM), Public Behaviour Activation Index (PBAI), and Sustainable Renewal Effect Index (SREI). Data were obtained from four field surveys, 318 valid questionnaires, 12 semi-structured interviews, GIS-supported spatial interpretation and Average Nearest Neighbor analysis, AHP weighting, two-round Delphi consultation, and sensitivity analysis. Beer culture, residents’ living memory, mountain–sea landscape imagery, and Liyuan courtyard culture showed strong identification bases, while functional integration, operational improvement, all-age sharing, and ecological restoration were the main renewal needs. CRNM revealed differentiated culture–need relationships that informed spatial translation and functional embedding. Under the proposed renewal scenario, the field-observed PBAI baseline of 0.46 was compared with a Delphi-calibrated scenario estimate of 0.82, while the estimated overall SREI was 0.87. These values indicate scenario-based potential for behavioural activation and sustainable renewal rather than verified post-implementation performance.

SustainabilityVol. 18(15)
Northeast Forestry University (CN)
Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 4%
Diverse Aspects of Tourism Research
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