ArticleScientific reports2025
Exploring the spatial characteristics of abandoned mining sites at the urban scale using a case study of Handan, China.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Research on spatial characteristics is the foundation for exploring the regeneration pathways of abandoned mining sites (AMSs) at the urban level. It aims to reveal their distribution status and regeneration laws, providing maximum support for the subsequent research stages such as the regeneration priority evaluation, direction decision-making, and strategy formulation. However, there are two important problems in current research on spatial characteristics: the lack of comprehensive and systematic research synthesis , which makes it difficult to grasp the study's focus, significance, and methodology; and the lack of targeted research on AMSs. In most cases, the AMS is only a part of the research object and is commonly found in other fields, such as brownfields, resulting in conclusions that fail to match the AMS's uniqueness accurately. To address these issues, this study advances research from both theoretical and practical perspectives. Theoretically, by synthesizing the research findings of AMSs and related fields (e.g., industrial heritage, mining heritage, brownfields, and urban vacant land) through the WOS and CNKI databases, we establish a theoretical system containing three dimensions of spatial structure, distribution and correlation characteristics, laying the foundation for comprehensive and systematic research. Practically, a case study on AMSs was conducted in Handan, China. This study revealed that, in addition to distance to urban areas, other urban location factors had little driving force on the regeneration priority of AMSs. This result differs greatly from those of brownfield and other fields, indicating that AMS regeneration is more likely driven by internal factors. This provides a basis for the selection of indicators for regeneration priority evaluation. In addition, we demonstrate a dynamic evaluation logic to evaluate the rationality of the regeneration progress of AMSs. This method is more scientific than the previous evaluation methods, which are based on regeneration quantity or area. On the basis of differences in regional evaluation results can guide the differentiated formulation of regeneration strategies. Overall, this study's theoretical system and empirical findings will provide valuable references for research on spatial characteristics and subsequent research stages.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.