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Nikhil Kumar
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Nikhil Kumar

Content Writer

AS SEEN ON
The Mac Observer, Hackerlap, TIME, South First

Preston's Summary

Nikhil Kumar is a Content Writer at various esteemed publications. He focuses on a diverse range of themes including medicine and healthcare, medical specialties, and technology, with particular attention to topics such as biology and life sciences, oncology, and software development. Nikhil's work has been featured in notable outlets including The Independent, The Economic Times, and Foreign Policy, among others.

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Geo Focus

Coverage Attributes:

Beta
Informative: 38 %
Promotional Deal: 22 %
Data Driven: 13 %
Reviews: 6 %
Opinion: 5 %

Themes Covered:

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Most Recent Topics:

  • AI Platforms
  • OpenAI
  • Software Development
  • Progressive Web Apps (PWAs)
  • Music Business
  • Music Genres
  • Retail Analytics

Pitching Insights

Nikhil Kumar's articles cover a wide range of topics including politics, international relations, technology, entertainment, and war and conflict. With a focus on evolving stories and breaking news related to government & politics as well as entertainment news, Nikhil is likely interested in receiving pitches that offer unique perspectives or insights into ongoing events.

Given his coverage attributes which emphasize evolving stories and breaking news across diverse themes such as politics, international relations, technology, entertainment, war and conflict; he may be more responsive to sources who can provide timely commentary on unfolding events within these areas. This could include experts with first-hand knowledge of political developments or individuals directly involved in the industries covered.

As Nikhil does not have a specific geographic focus mentioned but covers global elections and international relations extensively making him open for contributions from around the world.

This information evolves through artificial intelligence and human feedback. Improve this profile .

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Articles

Nature Portfolio

Assessment of pedestrian safety margins at unsignalized mid block crossings in Patna

By: Nikhil Kumar, Anubhav Kumar

Pedestrian safety at unsignalized mid-block crossings remains a major concern in developing countries with heterogeneous traffic conditions. This study examines pedestrian safety margins (PSMs) and their key behavioral and traffic-related determinants in an urban Indian context. A data-driven regression model is developed to quantify the influence of pedestrian behavior, vehicular characteristics, and traffic gaps on safety margins at uncontrolled crossings. Video data were collected at three representative mid-block locations in Patna, India, yielding 722 pedestrian–vehicle interactions for model development. Field observations show that 26% of pedestrians adopted rolling crossing behavior, while 54.8% crossed in groups. The proposed model demonstrates satisfactory explanatory power, with an R2 value of 0.553. Pedestrian speed, vehicular speed, vehicular gap, and vehicle type emerged as statistically significant predictors of pedestrian safety margin. Larger vehicular gaps were positively associated with higher safety margins. Pedestrian speed (β = 0.428) and vehicular gap (β = 0.383) were identified as the most influential positive contributors, whereas vehicular speed exhibited a smaller yet significant positive effect (β 0.032). Two-wheelers exerted the strongest negative impact on pedestrian safety margins (β = −0.964) compared to heavy commercial vehicles. The findings underscore the need for integrated, behavior-sensitive interventions to enhance pedestrian safety.

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