Disrupted spaces, adaptive lives: Unequal impacts of Hanoi’s first urban railway lines
Bibliographic record
Abstract
In this article, we examine two urban railway projects in Hanoi, Vietnam: Line 2A, operational since 2021, and Line 3, currently partly operational and partly under construction. Despite high hopes for these 'sustainable' transportation projects, little scholarly attention has focused on the inequities and negative impacts associated with their construction and operations. Specifically, the displacements and insecurities faced by Hanoi residents living or working along these lines have been largely overlooked. Drawing on conceptual debates from the recent infrastructure turn, we examine how Hanoi's first two urban railway lines have disrupted the lives and livelihoods of local residents. Our findings are based upon in-depth qualitative fieldwork conducted in 2019, 2022, and 2024, including interviews, a photovoice project along Line 2A, and an ethnographic case study of an alley partly destroyed by Line 3's construction. We find that the land acquisition and construction processes have inflicted infrastructural violence on numerous nearby residents and workers, creating categories of 'lucky', 'unlucky', and 'least lucky' residents. We investigate how some residents are adapting by establishing new livelihoods beneath or alongside the lines, carving out opportunities in otherwise underutilised spaces. We argue that these individuals are engaging in careful urban spatial politics to navigate the impacts of these projects while avoiding conflict with urban officials focused on 'modernisation' discourses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".