Complex Network Analysis of Indian Railway Zones

Rajput, Nikhil Kumar; Badola, Piyush; Arora, Harshit; Grover, Bhavya Ahuja

doi:10.48550/arxiv.2004.04146

Cited by 1 publication

(1 citation statement)

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“…As road travel is a locally (< 300 km) dominant mode, most of the meaningful long-distance connections and mobility arise from railways. [37,38,39], none of them considered the number of passengers travelling between two cities. The data of the number of trains run is converted into passenger traffic through an algorithm described in the Supplemental material [40].…”

Section: Route Symmetrymentioning

confidence: 99%

An infectious diseases hazard map for India based on mobility and transportation networks

Sadekar,

Budamagunta,

Sreejith

et al. 2021

Preprint

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We propose and construct an infectious diseases hazard map for India. Given the outbreak location for infectious disease, hazard map quantifies the infection risk faced by cities and towns in India. A framework consisting of a SIR metapopulation model augmented with mobility data is used to simulate the spread of infectious diseases. Despite multiple India-focused studies on this topic, very few focus on long-distance travel as the dominant mode of infection spread. Using extensive real data and estimates of air, rail, and road mobilities, a transportation and mobility network of 446 Indian cities having a population higher than 1 Lakh is constructed. Based on a notion of an effective distance that incorporates mobility information, a hazard value is assigned to each city for a given outbreak location. It is shown that the effective distance, rather than the geographical distance, from the outbreak location has a linear relation with the time of arrival of infection at every city, and hence provides a better measure of risk. The estimated hazard index is also compared with real data of SARS-CoV-2 spread during the first wave in 2020 and a good agreement is seen. With better mobility data, the proposed hazard map framework can be used for any other infectious disease spread in the future.

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Section: Route Symmetrymentioning

confidence: 99%