Evidence map›Paper›PMID 42230719›Full record

ArticleScientific reports2026

Valuing ecological benefits in ecological restoration of abandoned railways based on social media analytics.

Miao Fan, Xiaomin Xiao, Xin Zhan

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Miao FanZhengzhou Railway vocational & technical college, HeNan, 450000, China.
Xiaomin XiaoFaculty of Geographical Science, Beijing Normal University, Beijing, 100875, China. 202331051063@mail.bnu.edu.cn.
Xin ZhanHenan Railway Construction & Investment Group Co., Ltd, HeNan, 450000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The scale of abandoned traditional railways in China and worldwide has been progressively increasing. While Western developed countries have generally focused on optimizing the utilization of such disused railway resources, research and practical efforts concerning the ecological restoration of abandoned railways in China remain in their nascent stages. This study proposes an evaluation framework for assessing the ecological restoration effectiveness of abandoned railways, incorporating public satisfaction as a key metric. The framework addresses a critical gap in conventional ecological restoration assessments, which often overlook the social perception of ecosystem services, while also filling a research void in the ecological benefit evaluation of abandoned railways. Regulating and supporting services were quantified using market price, replacement cost, and equivalent factor methods. Cultural services were evaluated through a modified travel cost method, incorporating social media analysis and sentiment analysis to quantify and weight public satisfaction. As a case study, this research examines the ecological restoration of the abandoned Zhangjiakou section of China's first railway, the Jing-Zhang Railway, now repurposed as the Zhangjiakou Industrial Culture Theme Park. Applying the proposed framework, the ecosystem service value of the restored railway in 2023 was estimated at 1.565855 million CNY, with cultural services contributing the highest proportion (74.99%). Additionally, public satisfaction demonstrated measurable improvement. The findings validate the efficacy of ecological restoration strategies for abandoned railways and provide direct empirical support for policymakers in the conservation, utilization, and optimized management of such resources.

Indexed as

Abandoned railwaysEcological restorationEcosystem servicesPublic satisfactionSocial media data

Identifiers

PMID42230719
PMCPMC13470278

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.