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

Abstract

Due to technological developments, abandoned and damaged Industrial sites in Europe underwent a rapid transformation after World War II. As a reaction to losing these cultural values, the idea of valuing these industrial sites as the heritage of the Industrial Revolution was introduced in the 1950s. Since then, many studies have been conducted on preserving the industrial heritage. In these theoretical and empirical studies, we observe a lack of objective criteria and systematic methodology for identifying a given indus-trial site as heritage. There are differences in the perceptions of stakeholders, policymakers, and experts about industrial heritage in different countries. This study aims to identify the effective determinants of the registration decisions of industrial heritage sites in Turkey that were previously evaluated for regis-tration. In this study, Ottoman Royal Factories from the 19th century and some important factories of the Early Turkish Republican Era in the first half of the 20th century are investigated, collecting characteris-tics of a total of 215 buildings from 12 industrial sites in Istanbul, Kocaeli, and Bursa provinces in Turkey. These industrial sites are evaluated based on 22 socio-cultural, architectural, structural, and industrial cri-teria. A binary logistic regression modeling approach is implemented to identify influential factors in the registration decisions of industrial heritages. Our regression model results reveal that building-specific factors like view, period, uniqueness, reflections of its period, and economic potential play an important role in registration decisions. (c) 2022 Elsevier Masson SAS. All rights reserved.