Planning of Skywalk at an Institutional Area, Study Area: ITO, Indraprastha Estate, New Delhi
Bibliographic record
Abstract
Pedestrians, the most vulnerable road users, comprise more than half of the daily trips generated for different purposes. It has been observed that, over the last few decades, the vehicular growth has been exponential resulting in increased vehicle-pedestrian conflicts. Pedestrians had been continuously neglected over a long period, but growing global concern due to the high risk of accidents of pedestrian traffic is increasingly becoming the focused issue for planning of pedestrian facilities. It's a universal fact that every trip starts and ends with walk trips, which include all the purposes of trip making. The need for the study has arisen out of the fact that the space on roads due to heavy movement of traffic has left little or no space on sidewalks for the movement of pedestrians. A new concept has recently been adopted in American and Asian countries on the development of elevated corridor exclusively for pedestrians' movement connecting different activity centres and work centres to transit areas. While in American and Canadian cities, it was developed to provide weather proof mobility to the pedestrians in extreme climatic conditions. The present study addresses the development of pedestrian facilities, such as Skywalk, in an institutional area known as Income Tax Office (ITO) area and also to examine its feasibility in terms of economic as well as financial aspects. This study finally concludes with tentative guidelines for the development of Skywalk. It addresses the present condition of pedestrians, pedestrian infrastructure and their experiences with existing facilities. During the study it was observed that pedestrians walking in the study area are facing very severe problems in terms of the deteriorating condition of pedestrian infrastructure, inadequate pedestrian facilities. The study reveals that pedestrians are willing to shift on the proposed facility to ensure their safety.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".