Thesis
Classification and evaluation methods of modern urban industrial heritage landscape : a case study of Shaanxi province, China
- Creator
- Rights statement
- Awarding institution
- University of Strathclyde
- Date of award
- 2024
- Thesis identifier
- T17004
- Person Identifier (Local)
- 202062447
- Qualification Level
- Qualification Name
- Department, School or Faculty
- Abstract
- The current high speed of urbanisation in China has promoted renewal and industrial restructuring in cities. In this context, a large number of industrial heritage sites that have witnessed industrial development are either being demolished or having their spaces renewed and converted to other uses. The study will identify whether industrial buildings have heritage value, whether the original evaluation criteria are still applicable, what appropriate new uses could be considered, and how to objectively assess the value of industrial heritage landscapes as this is crucial for the conservation and reuse of industrial heritage landscapes. The research aim is to find the most effective ways to classify and evaluate the industrial heritage landscape, and to provide new, comprehensive guidelines for the classification, evaluation and presentation of the industrial heritage landscape. The research consists of five main parts, including (1) a theoretical and methodological study, (2) a study of evaluation methods, (3) a study of the current state of the industrial development history and heritage landscape in China and Shaanxi Province, (4) a development of a new method for evaluating industrial heritage, (5) and a study of the practical application of the proposed method. There are four main research methods used in this thesis, which are (1) literature review, (2) integrated interdisciplinary and intertheoretical research method, (3) field/online surveys, data collection, analysis and systematisation that will underpin the development of a new method, and (4) validation of the new method through interviews by using questionnaires. After a systematic analysis, this thesis selects the factors for quantitative evaluation and objectively analyses and explores the method of quantitative industrial heritage delineation, which is a useful technical complement to the study of industrial heritage management. It contributes to the study of industrial history, the conservation and use of industrial cultural heritage as well as to the classification and management system of industrial heritage. It can promote the deduction and improvement of the structure of the industrial heritage value evaluation system, and provide a practical reference for Chinese industrial heritage conservation legislation and the formulation of laws and regulations at all levels of government. This study also provides support for the subsequent development of industrial heritage conservation work. Secondly, this study scientifically determines the principles for the selection of evaluation factors at each level, and also applies them to the evaluation of three cases of representative industrial heritage landscapes in Shaanxi Province, according to local conditions. On this basis, the results of the evaluation are used to develop different reuse criteria for each type of area, which has a strong practical relevance. This will help in the renewal and planning process. It provides a basis for the research and practice of industrial heritage conservation and management planning, and provides relevant methodologies and data support for the subsequent study of industrial heritage in Shaanxi, China. Furthermore, this study combines Analytic Hierarchy Process (AHP) with Geographic Information System (GIS) visualisation technology to provide a clear and comprehensive quantitative evaluation of industrial heritage at all levels in a scientific manner. By analysing the technical advantages of GIS in the evaluation, the study reasonably proposes different conservation methods for industrial heritage landscapes of different values. The study provides an outlook for subsequent applications in industrial heritage conservation and management, and offers worthwhile suggestions for the future conservation of industrial heritage landscapes. The study analyses the ability of the GIS platform to store and visualise the current state of heritage resources in cities, integrate statistical research data, and assist in value assessment and conservation decision making. This provides an objective basis for identifying industrial heritage and proposing conservation measures, and has positive implications for the improvement of industrial heritage conservation methods.
- Advisor / supervisor
- Grierson, David
- Dimitrijević, Branka
- Resource Type
- DOI
- Date Created
- 2023
- Embargo Note
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