000			03739ntm a2200325 i 4500
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008			261008t20262026my a|||fr|||| 000 0 eng d
020			_aTHE0010832 (Local) _qHardback
040			_aUMPSA _beng _cUMPSA _erda
090			_aFTKA .Z46 2026 r Thesis
100	0		_aZhou, Zihua, _eauthor.
245	1	0	_aDevelopment of an evaluation framework for traditional villages in china : the case of Sichuan / _cZhou Zihua
264		1	_aKuantan, Pahang : _bUMPSA, _c2026
264		4	_c© 2026
300			_axiv, 226 pages : _billustrations (some color) ; _c30 cm. + _e1 CD-ROM.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
347			_2rda _atext file _bPDF
500			_aFaculty of Civil Engineering Technology
502			_aThesis (Doctor of Philosophy) -- Universiti Malaysia Pahang Al Sultan Abdullah - 2026
504			_aIncludes bibliographical references
520	3		_aTraditional villages in China are important carriers of regional culture, historical memory, and ecological wisdom. However, under the accelerating forces of urbanization and modernization, these villages are increasingly threatened by population outmigration, environmental degradation, and the loss of cultural heritage. While previous studies have addressed certain aspects of traditional village preservation, there remains a lack of integrated, data-driven frameworks capable of quantitatively assessing sustainability across multiple dimensions. This study develops a multidimensional evaluation framework for assessing the sustainable development of traditional villages and applies geospatial analysis to identify regional heterogeneity, classify development types, and support targeted revitalization strategies. Employing a mixed-methods approach, the study integrates field investigation, literature review, expert consultation, and geospatial data analysis to construct a comprehensive evaluation index system encompassing five core dimensions: economic, social, environmental, cultural, and geographical. Twenty-two key indicators were validated using the Delphi method, with weights optimized using AHP-Entropy combination weighting to ensure objectivity and dynamically quantify sustainability. Based on this framework, an empirical analysis was conducted on 396 traditional villages in Sichuan. The results quantitatively classified these villages into three sustainability levels (High: 6.3%, Medium: 67.9%, Low: 25.8%) and further identified nine distinct development types. The analysis revealed significant spatial imbalances and functional mismatches, providing data-driven justification for differentiated revitalization strategies. In-depth case studies of Xiuxi, Qinglinkou, and Yading villages validated the scientific robustness and practical applicability of the framework, while also identifying key development constraints and potential areas for improvement across different village types. This research fills a theoretical gap in the regional and data-driven evaluation of traditional village sustainability by proposing a novel multidimensional evaluation framework that integrates sustainability indicators with geospatial analysis. The findings provide practical support for government agencies to formulate differentiated conservation policies and allocate resources more effectively. The proposed framework is not only methodologically robust but also specifically adapted to the complex and diverse rural contexts of western China.
610	2	0	_aFaculty of Civil Engineering Technology _xDissertations
650		0	_aUniversities and colleges _xDissertations
942			_2lcc _cTHESIS
999			_c105695 _d105701