Identification of determinants during the registration process of industrial heritage using a regression analysis

Aydın, Elif Özlem; Tepe, Emre; Balcan, Cem

doi:10.1016/j.culher.2022.09.013

Cited by 9 publications

(6 citation statements)

References 11 publications

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“…This initiative has not only facilitated the protection and reuse of industrial landscapes in China but has also provided policy guidelines for industrial tourism and urban revitalization. However, the challenges of preserving the unique value of industrial landscapes [10,81], promoting their transformation and development [82,83], and mitigating residual pollution remain urgent issues to be addressed [84,85]. In the digital age, the transformation of industrial landscapes is intricately connected to the growth of industrial tourism.…”

Section: Discussionmentioning

confidence: 99%

“…However, regional differences in the conservation of the industrial landscape are evident due to various constraints, such as economic, cultural, and policy factors. Simultaneously, there remains an overall insufficiency of knowledge about the industrial landscape [10], resulting in the phenomena of "scattering" and "isolation" [11]. These challenges have emerged as pivotal obstacles to the sustainable development of the industrial landscape, constituting urgent issues that demand resolution through both historical and cultural heritage preservation and the promotion of a sustainable industrial landscape.…”

Section: Introductionmentioning

confidence: 99%

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Spatial and Temporal Distribution Characteristics and Influential Mechanisms of China’s Industrial Landscape Based on Geodetector

Yan,

Li,

Song

2024

Land

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The industrial landscape constitutes a crucial aspect of a region’s historical and cultural identity, serving as a valuable asset in the development of industrial tourism. Exploring the industrial landscape supports initiatives in industrial tourism, acts as a catalyst for community revitalization, and contributes to sustainable urban progress. The primary objective of this research was to investigate the spatial distribution characteristics and underlying determinants of China’s industrial landscape (CIL) to inform urban planning, cultural heritage preservation, and sustainable development initiatives. This study utilized analytical tools, such as the nearest neighbor index, geographic concentration index, and hot spot analysis, to comprehensively examine the spatial distribution of CIL. Additionally, Geodetector was employed to explore the correlating factors behind this distribution. The findings reveal the following: (1) CIL exhibited a pronounced agglomerative spatial pattern characterized by a high degree of concentration, significant disparities, and substantial spatial autocorrelation. (2) Over time, the agglomeration of CIL varied, intensifying initially and then diminishing, with the center of gravity of its distribution shifting eastward before subsequently moving westward in a directional trend resembling “northeast–southwest”. (3) There was a diverse array of industrial landscape types within China, with notable disparities in the prevalence of different categories. The manufacturing and transportation sectors boasted the highest number of heritage sites. (4) The distribution pattern of CIL was shaped by factors such as the level of economic development, socio-demographic conditions, transportation infrastructure, and cultural milieu. The interplay between these factors had a substantial impact on this distribution pattern.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Distribution Characteristics and Influential Mechanisms of China’s Industrial Landscape Based on Geodetector

Yan,

Li,

Song

2024

Land

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“…This industrial heritage was transformed into creative workspaces that served as drivers of economic growth and urban renewal, transforming Germany's former industrial centers into modern and sustainable urban landscapes. (2) Cultural Tourism Potential Tourism creates a demand for cultural heritage, including industrial heritage, which encourages the preservation and revitalization of sites that might otherwise be neglected or destroyed [81]. At the same time, the economic benefits of cultural tourism in regions with industrial heritage provide an impetus for its preservation and development [82].…”

Section: Analysis Of Human Influencing Factorsmentioning

confidence: 99%

Rethinking Industrial Heritage Tourism Resources in the EU: A Spatial Perspective

Yan,

Li,

Zhang

2023

Land

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Industrial heritage serves as a poignant testament to the historical narrative of industrial civilization. The European Route of Industrial Heritage (ERIH) is a pan-European network that connects industrial sites and museums to enhance public awareness of the significance of the industrial heritage sector and to promote sustainable development practices in urban areas through collaboration and cooperation between these sites. The ERIH is crucial in promoting economic, cultural, and social values associated with industrial heritage and creating opportunities for tourism and education in Europe. Taking the ERIH as the research object, the nearest-neighbor index, kernel density, geographic detector, and other methods are used in this study to explore the spatial distribution characteristics and influencing factors of European industrial heritage. The results of this study have implications for urban and regional planning endeavors aimed at advancing sustainable urban development. Furthermore, they contribute to cultivating a sense of place and identity by identifying and preserving industrial heritage institutions while fostering social cohesion and community identity practices. The results show that (1) the spatial distribution of European industrial heritage presents a cohesive distribution, and the spatial distribution is uneven; (2) the spatial distribution of European industrial heritage forms “dual cores, dual centers, one belt, three zones and multiple scattered points”—the center of gravity shows a trend of “first north and then east” and the north–south movement is relatively small; and (3) a combination of natural and social factors shape the spatial distribution of industrial heritage. Natural conditions, such as altitude, topography, and hydrological characteristics, influence the distribution patterns of industrial heritage sites. Meanwhile, human factors, including infrastructure level, cultural tourism potential, and social development, play a pivotal role in determining spatial distribution patterns. Among these factors, the socio-economic level exhibits the strongest influence, with an explanatory power of 0.763. The results of this study can contribute to the conservation and tourism practices regarding industrial heritage sites, thus promoting sustainable urban development practices.

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“…The analytic hierarchy process (AHP) method was used. Aydın et al [18] aimed to determine the factors affecting the registration and the degree of effectiveness. The parameters were referred to as the criteria and were compiled from the literature.…”

Section: Literature Reviewmentioning

confidence: 99%

Determination of Conservation–Reuse Parameters for Industrial Heritage Sustainability and a Decision-Making Model Proposal

Beşir

Karakök

2023

Sustainability

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This study aims to determine the necessary parameters to ensure sustainable conservation in the adaptive reuse of industrial heritage and create a decision-making model. This study included the selection of the sample industrial heritage, determining the necessary parameters, percentage frequency analysis (PFA) of the industrial heritages in relation to the parameters, interpreting the percentage frequency results by comparing them, and developing the decision-making model. The decisions of the architectural heritage conservation organizations ICOMOS, TICCIH, and UNESCO were used to determine the conservation parameters. The reuse parameters were determined based on sustainability principles, since the adaptive reuse of historical buildings is also the subject of sustainability. The obtained parameters were converted to percentage values after being made numerically significant by two different percentage frequency analyses: conservation and reuse. Each sample used in the model was considered successful in various sources, rewarded, and praised in the literature and media. If we accept 50% as an average value, there are only four industrial heritages which are over 50% for the conservation percentage frequency analysis, but there are nine industrial heritages which are over 50% for the reuse percentage frequency analysis. On the other hand, it is written in the article that the aim is to catch 100%. Therefore, maybe it can be said that we cannot only conserve, but also fail to use. The model developed in this study will serve as a guide in establishing the conservation –use balance of project decisions as well as in objectively evaluating current practices.

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Identification of determinants during the registration process of industrial heritage using a regression analysis

Cited by 9 publications

References 11 publications

Spatial and Temporal Distribution Characteristics and Influential Mechanisms of China’s Industrial Landscape Based on Geodetector

Spatial and Temporal Distribution Characteristics and Influential Mechanisms of China’s Industrial Landscape Based on Geodetector

Rethinking Industrial Heritage Tourism Resources in the EU: A Spatial Perspective

Determination of Conservation–Reuse Parameters for Industrial Heritage Sustainability and a Decision-Making Model Proposal

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