Revitalization and Development Strategies of Fostering Urban Cultural Heritage Villages: A Quantitative Analysis Integrating Expert and Local Resident Opinions

Abstract

In order to promote sustainable development and economic growth, the city shall pay attention to the interaction rule between local cultural heritage resources and community residents, and advance the continuous consolidation of local cultural identity in the process of community activation and renewal. This poses a key challenge for many cities to continue to promote community renewal and activation of urban villages. In this study, the FI-RST model was constructed to effectively manage such projects by taking both top-down and bottom-up decision-making thinking into consideration in the formulation of the revitalization development strategies of urban villages. South China’s Huangpu Village in Guangzhou City is taken as an example in this study to clarify the logical relationship between the top-down key points of community activation and renewal development and the consolidation of local cultural identity by respecting the rules of community life and behavior, and then the Huangpu Village revitalization and development strategies are developed. A new multi-attribute decision analysis model is developed and utilized in this study, which provides a project management idea for the activation of urban cultural heritage villages, that is a model that not only supports community renewal and cultural activation, but also pays attention to community residents’ needs and emotional feedback.

Revealing the Pattern of Causality in Tourist Experience and Perception of Sacredness in Shamanic Heritage Destinations: Evidence from Northeast China

“…It applies data mining technology to screen out core evaluation indicators and clarify the behavioral rules knowledge behind the data (i.e., if-then rules). RST can be used to resolve the imprecise knowledge relationship between conditional attributes and decision attributes in classi cation functions (Sheng et al, 2022). It uses an exact set with equivalence relations to construct a set of lower and upper approximations of functions to nd the boundaries of the classi cation function.…”