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Record W4415958891 · doi:10.14419/zws03260

Studying The Health Implications of Metro Rail Or Highway Construction on Local Communities

2025· article· en· W4415958891 on OpenAlexaboutno aff
Pradeep T.S., Parvathy Anu Lee

Bibliographic record

VenueInternational Journal of Basic and Applied Sciences · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsPublic healthPlan (archaeology)Process (computing)Chronic bronchitisPublic transportCommunity healthNoise pollutionStandard of living

Abstract

fetched live from OpenAlex

This paper examines the frequently neglected public health consequences of constructing metro rail and highways on adjacent villages, considering Indian law. As India's cities grow quickly and its economy grows, infrastructure development is speeding up. This is bad for the ‎health of people living near construction sites. Air pollution, noise pollution, contaminated water, and the stress of having to move your ‎whole life are all possible risks. For instance, the Center for Science and Environment (2019) says that since PM2.5, there have been more ‎instances of asthma and bronchitis in the affected communities. Five levels at construction sites for the Delhi Metro were three to five times ‎higher than what the World Health Organization says is safe. ‎ ‎ But the current rules in India don't do enough to deal with the health problems that come with these kinds of big city projects, even though ‎they do have these effects.‎ The analysis includes a thorough look at Indian laws, pertinent case law, and environmental rules. It also compares the legal systems of ‎other countries, such as the US, the EU, Australia, and Canada. These countries use health impact assessments (HIAs), public involvement ‎methods, and strict monitoring systems to plan infrastructure. ‎ The results show that the Indian court system generally puts economic or environmental issues ahead of health concerns, rather than community health. Health impact assessments are not actually a part of the process of managing infrastructure. There have been no systemic ‎legal protections or enforceable health standards put in place for infrastructure projects, even though the courts play a big role in establishing ‎the right to health under Article 21. ‎ This study highlights the importance of health impact assessments (HIAs), public involvement, and post-approval monitoring in ensuring ‎proper accountability for health outcomes. This article highlights the imperative necessity for reform by juxtaposing India's policies and ‎regulations with those of other developed countries. It calls for health impact assessments to be a required part of environmental impact ‎assessments (EIAs), more community participation, and health audits after projects. Health departments, urban planners, and legal bodies ‎should work together, it says, to institutionalize development that is more holistic and preventative. ‎ Rather than relying on reactive legal frameworks, the report argues for proactive frameworks that address health concerns at every stage of ‎infrastructure development. Public health must be recognized as an essential ethical and legal issue if India's urban development is to be ‎inclusive, sustainable, and socially equal. Detailed legal and policy recommendations are offered in the paper to align the administration of ‎India's infrastructure with the country's constitutional guarantee of the right to health‎.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.336
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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