Public acceptance and perception of autonomous vehicles: a comprehensive review
DOI: 10.1007/s43681-021-00041-8
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Summary
This paper investigates the role of New York City’s subway system in the rapid spread of COVID-19 during March 2020. The author addresses the puzzle of why NYC experienced such a massive epidemic relative to its size, hypothesizing that the pervasive subway network served as the principal transmission vehicle during the initial exponential growth phase. The study aims to determine if reductions in subway ridership correlated with the flattening of the epidemic curve. The analysis relies on observational data comparing daily subway turnstile entries from the Metropolitan Transportation Authority with daily reported COVID-19 cases from the New York City Department of Health. The author tracks these variables from March 1 to April 3, 2020, examining trends across the city and by individual borough. Additionally, the study maps cumulative incidence rates by zip code to identify specific infection hotspots and correlates the percentage decline in ridership between March 2 and March 16 with the doubling time of new cases in the subsequent week. The findings reveal a strong temporal correlation between subway usage and infection rates. During the first two weeks of March, high ridership coincided with a rapid surge in cases, characterized by a doubling time of 1.4 days. Following Mayor de Blasio’s order limiting gatherings on March 16, ridership plummeted, dropping 86% by the fourth week. This decline paralleled a significant increase in the doubling time of new cases to 19 days. Borough-level analysis showed that Manhattan, which experienced the sharpest drop in ridership (to 10.5% of peak by March 23), saw its epidemic curve flatten most rapidly, with a doubling time of 20 days by late March. In contrast, boroughs like the Bronx and Staten Island, where ridership declined less sharply, maintained higher infection growth rates. Zip code mapping identified distinct hotspots, including Midtown West in Manhattan and East Elmhurst in Queens, consistent with subway-facilitated propagation. The author concludes that the subway system was likely the major disseminator of the virus during the epidemic's initial takeoff. The data suggest that the public’s response to the outbreak, manifested through a drastic reduction in subway use, was the primary mechanism that reduced transmission. The study challenges alternative explanations based on socioeconomic status, arguing that the ability to avoid the subway—rather than income levels alone—explained the lower infection rates in Manhattan compared to other boroughs. The paper posits that reciprocal seeding of infection via the transit network best explains the emergence of specific hotspots and the overall trajectory of the NYC epidemic.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | OpenAlex-citations | — | — | 1 | 2026-06-25 |
| archive | success | openalex | — | — | 5 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-26 |
| chunk | success | chunk | — | — | 1 | 2026-06-26 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-26 |
| enrich | success | semantic_scholar | — | — | 1 | 2026-06-26 |
| promote | success | — | — | — | 1 | 2026-06-25 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-26 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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- Empirical Findings: self report data, observational prevalence