An optimization model to assign seats in long distance trains to minimize SARS-CoV-2 diffusion

Haque, Md Tabish; Hamid, Faiz

doi:10.1016/j.tra.2022.05.005

Cited by 4 publications

(5 citation statements)

References 35 publications

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“…The research in [30] assessed the extent to which maintaining a one-meter distance between people in trains is sustainable for public transport companies. An optimization model for assigning seats in long-distance trains to ensure the spread of the SARS-CoV-2 disease was solved in their research [31]. The authors proposed a new seat assignment policy that aims to mitigate the risk of the virus spreading among passengers by reducing interaction between them.…”

Section: Literature Overviewmentioning

confidence: 99%

Prediction of Transport Performance Development Due to the Impact of COVID-19 Measures in the Context of Sustainable Mobility in Railway Passenger Transport in the Slovak Republic

Gašparík,

Bulková,

Dedík

2024

Sustainability

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The disease COVID-19 negatively affected sustainable mobility, including public passenger transport, as it was necessary to take several measures to reduce the population’s mobility. It also limited rail passenger transport. Railway operators suffered from a significantly reduced number of passengers. An analysis of the transport performance of railway passenger transport is conducted in a case study in Slovakia. Based on the decline in transport performance in railway passenger transport and the degree of measures introduced, a new methodology and procedure for introducing pandemic measures are proposed in the context of reducing the scope of rail passenger transport. The measures are proposed under the condition that it is necessary to monitor the roles and responsibilities of railway infrastructure managers and rail passenger operators. The proposed methodology includes a transport performance forecast according to the defined transport reduction measure level and the train traffic diagram variants on the model railway line in the case of levels of the implemented measures. These proposals will contribute to higher quality and more efficient railway transportation, including optimal use of railway infrastructure capacity during emergency situations. The novelty of the research lies in the new methodological procedure and its practical application.

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Section: Literature Overviewmentioning

confidence: 99%

Prediction of Transport Performance Development Due to the Impact of COVID-19 Measures in the Context of Sustainable Mobility in Railway Passenger Transport in the Slovak Republic

Gašparík,

Bulková,

Dedík

2024

Sustainability

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“…[44] performs a uniform two-dimensional interpersonal distancing among train passengers, i.e., the distancing criteria does not contemplate passengers’ immunization status, infection intensity at different cities, interaction hours (

), etc. [13] propose one-dimensional interpersonal distancing between passengers, with the gap between them determined solely by the level of infection at their boarding stations. [45] and [46] investigate the influence of travel environment (vehicle occupancy) and demand management strategies on interpersonal distancing in public transport, respectively.…”

Section: Related Literaturementioning

confidence: 99%

“…In this case, operational efficiency and passenger safety serve as the key determinants of sustainability. Traditionally, operational planning ascribes passenger safety to convenience and comfort [7] , [8] , [9] ; however, the recent pandemic adds a new dimension, namely the spread of virus [10] , [11] , [12] , [13] .…”

Section: Introductionmentioning

confidence: 99%

Social distancing and revenue management—A post-pandemic adaptation for railways

Haque

Hamid

2023

Omega

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“…Likewise, certain individuals may be more likely to be infectious based on factors such as recent exposure to the virus or exhibiting symptoms of illness. Haque and Hamid [53] suggest reducing virus spread while boarding trains by reducing interaction among passengers from stations whose nearby populations have varying levels of infection. Their work reinforces the notion of segregating passengers based on their infection likelihood [53].…”

Section: Introductionmentioning

confidence: 99%

“…Haque and Hamid [53] suggest reducing virus spread while boarding trains by reducing interaction among passengers from stations whose nearby populations have varying levels of infection. Their work reinforces the notion of segregating passengers based on their infection likelihood [53]. These variations in vulnerability and infectiousness can significantly impact the spread of diseases during the airplane boarding process.…”

Section: Introductionmentioning

confidence: 99%

Airplane Seating Assignment Greedy Algorithms That Separate Passengers Likely to Be Susceptible to Infectious Disease From Those Likely to Be Infectious

Milne,

Cotfas,

Delcea

et al. 2024

IEEE Access

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Although the COVID-19 pandemic has mostly ended, there may be future situations (e.g. future pandemics) in which infectious disease spread on airplanes should be minimized. The COVID-19 pandemic led to social distancing as a means of enhancing passenger safety. Methods were developed to separate homogenous passengers from each other on airplanes and in other settings. This paper presents three greedy methods that assign passengers to airplane seats so that those passengers most likely to be susceptible to infectious diseases are separated from those passengers who are most likely to be infectious. Stochastic simulation results show that the performance of the proposed greedy methods provide much higher values for the average distance of separation between susceptible and infectious passengers when compared to a random seat assignment. The improvements in the two best of the three greedy methods range from 152% to 343% across the selected scenarios. In addition to considering passengers who are likely to be infectious and those who are likely to be susceptible to the disease, the methods consider those passengers who are likely to be both infectious and susceptible. By accounting for variations in individual passenger infectiousness and susceptibility to infection, we illustrate how disease spread may be reduced during future pandemics or similar health crises, thereby improving the safety and resiliency of air travel.

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An optimization model to assign seats in long distance trains to minimize SARS-CoV-2 diffusion

Cited by 4 publications

References 35 publications

Prediction of Transport Performance Development Due to the Impact of COVID-19 Measures in the Context of Sustainable Mobility in Railway Passenger Transport in the Slovak Republic

Prediction of Transport Performance Development Due to the Impact of COVID-19 Measures in the Context of Sustainable Mobility in Railway Passenger Transport in the Slovak Republic

Social distancing and revenue management—A post-pandemic adaptation for railways

Airplane Seating Assignment Greedy Algorithms That Separate Passengers Likely to Be Susceptible to Infectious Disease From Those Likely to Be Infectious

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