ABSTRACT
The quantification of the extent and dynamics of land-use changes is a key metric employed to assess the progress toward several Sustainable Development Goals (SDGs) that form part of the United Nations 2030 Sustainable Development Agenda. In terms of anthropogenic factors threatening the conservation of heritage properties, such a metric aids in the assessment of achievements toward heritage sustainability solving the problem of insufficient data availability. Therefore, in this study, 589 cultural World Heritage List (WHL) properties from 115 countries were analyzed, encompassing globally distributed and statistically significant samples of "monuments and groups of buildings" (73.2%), "sites" (19.3%), and "cultural landscapes" (7.5%). Land-cover changes in the WHL properties between 2015 and 2020 were automatically extracted from big data collections of high-resolution satellite imagery accessed via Google Earth Engine using intelligent remote sensing classification. Sustainability indexes (SIs) were estimated for the protection zones of each property, and the results were employed, for the first time, to assess the progress of each country toward SDG Target 11.4. Despite the apparent advances in SIs (10.4%), most countries either exhibited steady (20.0%) or declining (69.6%) SIs due to limited cultural investigations and enhanced negative anthropogenic disturbances. This study confirms that land-cover changes are among serious threats for heritage conservation, with heritage in some countries wherein the need to address this threat is most crucial, and the proposed spatiotemporal monitoring approach is recommended.
ABSTRACT
The data presented in this Data in Brief article offers an insight into the scientific literature on conceptual and empirical approaches to public participation and consensus-building. It consists of articles retrieved from the Scopus search engine which feature "public participation", "consensus", and "value and attribute" in the title, abstract, and author keywords. Information on the bibliography is recorded, namely title, author(s), year of publication, and source title. Metadata on how the articles were analyzed is provided in the dataset. From 121 publications, most literature (103) analyzes public participation through case studies. The studies were analyzed according to factors that were identified inductively and grouped in two categories: 1) public participation: actor, method, and level of public participation, and 2) consensus: approaches, conflict. The data is related to the research article entitled "Public participation and consensus-building in urban planning from the lens of heritage planning: A systematic literature review". This paper focuses on the public participation factors as the factors on consensus are already explained in the main article. This paper shows which factors of participation were implemented in the analyzed studies. Given that, this article contributes to researchers and practitioners working on public participation because it reveals the diversity of approaches for consensus-building in public participation processes, which help them realize which level of participation they want to achieve and the means to reach it.
