Construction of Security Pattern for Historical Districts in Cultural Landscape Based on MCR Model: A Case Study of Chaozong Street, Changsha City

Author:

Chen Zihan1ORCID,Liu Su1,Liao Wei2ORCID,Zhang Junxue3

Affiliation:

1. School of Architecture and Planning, Hunan University, Changsha 410082, China

2. Institute of Sustainable Heritage, University College London, Gower Street, London WC1E 6BT, UK

3. School of Civil Engineering and Architecture, Jiangsu University of Science and Technology, Zhenjiang 212100, China

Abstract

This study aimed to establish a comprehensive and sustainable approach to the conservation of historical districts through the “Cultural Landscape Security Pattern” (CLSP) theory. Deploying this theory can penetrate limitations posed by physical and social-emotional factors, enabling a resilient framework which can coordinate long-term heritage protection with urbanization in a more sustainable manner. Chaozong Street in Changsha City, China, was taken as the locus of study, which was initiated by quantitatively analyzing and evaluating the cultural landscape. The ArcGIS spatial analysis and the minimum cumulative resistance (MCR) model were then considered to model different levels of CLSP. It was on this basis that corresponding regulations and development strategies were then proposed. The results from the study demonstrate that implementing CLSP in historic districts can construct a protective network over the districts, which can then guide the recovery of fragmented historical built environments, as well as ensure continuity of historical consciousness and integrity. In addition, in comparison with conventional protection planning methods, this method features greater flexibility and adaptability when considering and accounting for complex spatial issues in historic districts and provides a novel approach for similar studies.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference51 articles.

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3. Boussaa, D. (2018). Urban Regeneration and the Search for Identity in Historic Cities. Sustainability, 10.

4. Revitalizing historic districts: Identifying built environment predictors for street vibrancy based on urban sensor data;Li;Cities,2021

5. Discussion on the Integrated Value and Multi-level Value Elements of Historic Urban Area;Lan;China Anc. City,2021

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