Geographic Distribution Characteristics and Influencing Factors for Industrial Heritage Sites in Italy Based on GIS

Abstract

A comprehensive understanding of industrial legacy, considering its social, economic, and environmental aspects, is crucial for its preservation. This study scrutinizes 120 industrial heritage sites, investigating spatial–temporal patterns and influential factors. The aim is to provide a scientific basis for the conservation and management of the Italian industrial heritage. (1) The research underscores Italy’s industrial legacy’s tendency for clustering and uneven dispersion, prominently concentrated in the northern regions while notably sparse in the south. (2) Geographical advantages, a history of advanced industrialization, higher economic levels, greater population density, and supportive policies foster a concentration of industrial development and greater diversity of heritage types in the North. (3) The recommendations advocate for tailored conservation and management strategies tailored to the distinct characteristics of Italian industrial history. These strategies advocate for increased public involvement, reinforced legislative protection, and the promotion of tourism and cultural education to sustainably develop heritage assets. The findings and methodologies of this study can effectively identify the causes of the formation of the Italian industrial heritage, thereby offering a broader perspective to bolster its preservation and administration. It also provides a valuable reference for global industrial heritage preservation and management strategies.

Research on the Spatiotemporal Distribution of Railway Architectural Heritages Based on Heritage Database—Taking the Jinqin Section of the Peking–Mukden Railway as an Example

“…The ArcGIS Kernel Density tool was applied to generate the overall kernel density map of the heritage [28,29], see Figure 5. The degree of aggregation was categorized into four levels according to the Jenks optimization method: high aggregation (kernel density of eight levels), medium aggregation (kernel density of six levels), average aggregation (kernel density of four levels), and low aggregation (kernel density of two levels).…”

Construction of the Chinese Route of Industrial Heritage Based on Spatial and Temporal Distribution Analysis

“…Yan, M. et al also utilized GIS to explore the spatial distribution characteristics and influencing factors of European industrial heritage, and arrived at conclusions regarding its temporal and spatial distribution [30]. Fan, X. and Sun, L. utilized GIS to analyze the geographical distribution characteristics and influencing factors of Italian industrial heritage, and proposed a series of recommendations aimed at the sustainable protection and management of Italian industrial heritage [31]. Therefore, it is of great significance to analyze the spatial and temporal distribution of China's industrial heritage based on GIS database, and to clarify the current situation of China's industrial heritage protection on this basis, which is of great significance for future protection and value assessment.…”