Industrial Brownfield Sites in the Alps. A first Quantitative Overview and Potential Implications for Regional Development

Modica, Marcello

doi:10.4000/rga.5274

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…Peripheral regions in Europe, albeit to a lesser extent, have also been touched by this development. In the Alps, for instance, where the phenomenon has manifested with considerable delay in comparison to the surrounding lowlands, deindustrialization has been accelerated by the economic crisis of 2008, turning Alpine regions into an interesting field of study for researchers and professionals concerned with the management of industrial brownfields (Modica 2019).…”

Section: Industrial Brownfieldsmentioning

confidence: 99%

Urban Brownfields: Origin, Definition, and Diversity

Rey

Laprise

Lufkin

2021

Neighbourhoods in Transition

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Brownfield is a polysemic notion that encompasses a whole range of diverse spaces. Although there is no official definition at the European level, an emerging consensus has arisen around the urban character of brownfields and the need for intervention. Indeed, their location within metropolitan areas represents a strategic opportunity to densify and rejuvenate the urban fabric at the neighbourhood scale. Hence, we propose a definition of urban brownfields that is flexible enough to optimize the potential development of abandoned sites and precise enough to enable framing the discussion. Then, we take a look at the diversity of urban brownfields in European metropolitan areas by briefly explaining the factors that cause a site to become a brownfield and then attempting to classify different types of urban brownfields. The proposed classification aims to create a non-exhaustive reference framework by offering in-depth knowledge of the urban brownfield and regeneration projects phenomenon across Europe, without setting its meaning in stone.

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Section: Industrial Brownfieldsmentioning

confidence: 99%

Urban Brownfields: Origin, Definition, and Diversity

Rey

Laprise

Lufkin

2021

Neighbourhoods in Transition

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“…Additionally, their approach to classification is interesting, which is based on both the characteristics of the sites and their distribution by region. However, the classification is focused only on industrial areas [36] and therefore could not be used.…”

Section: Methodsmentioning

confidence: 99%

Design and Verification of a Simple Approach to Brownfields Categorization

2021

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Brownfields have been the subject of research, evaluation, categorization and, of course, redevelopment for many years. The ABC(D) model (an assessment tool to identify different types of sites in terms of their potential) by the Concerted Action on Brownfield and Economic Regeneration Network (CABERNET) has been mentioned in many publications. The aim of the assessment method presented in this article is to use the basic essence of the categories in the ABC(D) model and to use our own very simple criteria. Our criteria are the result of many years of experience in the creation and management of the brownfield database. In 2017, the development potential of selected brownfields in the database of the Moravian-Silesian region (Czech Republic) was evaluated using our proposed procedure (three objective and one subjective criterion). In 2020, verification of the categories in regard to how correctly or incorrectly they were proposed was carried out. The results from this verification, including reasons for the accompanying inaccuracies, are a part of this article. We verified that the very simple evaluation procedure we proposed is functional and can be applied by database administrators continuously without the need to create complex datasets and statistical evaluations.

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“…The literature on brownfield spatial distributions and formation factors has grown considerably in the past few years, for example, the city of Minneapolis in the United States (Vaidya, 2015), Brno (Kunc et al, 2014;Frantál et al, 2015), Ostrava (Novosák et al, 2013), and Karvina in the Czech Republic (Martinat et al, 2016;Škrabal et al, 2021) and Changchun in China (Song et al, 2022). The research content of spatial distributions is mainly industrial brownfields (Smoļakova, 2017;Modica, 2019), which mostly guide local soil management (Bambra et al, 2014;Boente et al, 2018), land use policies (Page and Berger, 2006), and brownfield redevelopment (Filip and Cocean, 2012;Kramářová and Juhásová Šenitková, 2018;Bardos et al, 2020). Accurately determining macro-scale brownfield spatial distributions can provide a reference for formulating differentiated and regionalized redevelopment policies according to local conditions (Newell and McGreal, 2017).…”

Section: Introductionmentioning

confidence: 99%

Exploring Spatial Distributions and Formation Factors of Brownfields in China: From Macro-Scales

Zhang

Song

Qian

et al. 2022

Front. Environ. Sci.

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The spatial distribution pattern of brownfields can help governments at all levels, and investors have more detailed information on land resources, prioritize brownfield redevelopment, and guide urban spatial and strategic planning. Despite increasing global concern, yet knowledge of brownfield distribution patterns at the macro-scale remains limited, especially in China. Derived from the China National Knowledge Infrastructure (CNKI), Web of Science (WOS), and Chinese Industrial Heritage List published between 2001 and 2019, we present the first comprehensive dataset of known brownfield sites and their distributions in China. The results revealed that the dataset contains 816 georeferenced brownfield records from 255 cities. Brownfields were mainly distributed southeast of the “Heihe-Tengchong Line,” with an overall spatial distribution pattern of “East-dense-West-sparse.” In terms of brownfield type, industrial brownfields were the most numerous, followed by mining brownfields. Nearest neighbor indicator analysis suggested that brownfields in China present significant spatial agglomeration characteristics, and that the six types of brownfields manifest different scales of spatial agglomeration. The hot spots were mainly concentrated in the Yangtze River Delta, Beijing–Tianjin–Hebei, and Pearl River Delta urban agglomerations. Factors influencing brownfield formation were related to industrial structure adjustments, resource depletion, accelerated urbanization, and the orientation of national policies, with industrial structure adjustments being the leading cause. Mastering the spatial distribution of brownfields can coordinate land use transformation planning and guide brownfield redevelopment.

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Industrial Brownfield Sites in the Alps. A first Quantitative Overview and Potential Implications for Regional Development

Cited by 6 publications

References 8 publications

Urban Brownfields: Origin, Definition, and Diversity

Urban Brownfields: Origin, Definition, and Diversity

Design and Verification of a Simple Approach to Brownfields Categorization

Exploring Spatial Distributions and Formation Factors of Brownfields in China: From Macro-Scales

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