Real-time social distance measurement and face mask detection in public transportation systems during the COVID-19 pandemic and post-pandemic Era: Theoretical approach and case study in Italy

Guerrieri, Marco; Parla, Giuseppe

doi:10.1016/j.trip.2022.100693

Cited by 8 publications

(5 citation statements)

References 28 publications

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“…The location from where a sample is collected can have a significant impact on the outcome of a research study. This is because sampling techniques, such as random and systematic sampling, ensure that the sample is representative of the population being studied, thus increasing the external validity of the research findings (Guerrieri & Parla, 2022). Moreover, the number of people a researcher contacts is directly 791 related to the cost of a study, and obtaining samples from the right location saves money by allowing researchers to gather the same answers and results as they would by surveying a larger group (Pan & Ryan, 2022).…”

Section: Research Methods Location Of Researchmentioning

confidence: 99%

“…In research design, population and sampling are two important terms. A population is a group of individuals that share common connections (Guerrieri & Parla, 2022). Therefore, choosing the right sampling location is a crucial step in conducting research, as it can impact the accuracy, reliability, and generalizability of the study findings.…”

Section: Research Methods Location Of Researchmentioning

confidence: 99%

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Investigation and Analysis of People Preferences in Choosing Public Transportation During COVID-19 Pandemic: Statistical Approach and Case Study in Malang City

Amrullah,

Mudjanarko

2023

Astonjadro

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The transportation condition in Malang City during COVID-19 pandemic has been the subject of this research, with one study proposing to support information about public transportation services in the city. This policy encourages people to participate in activities such as working from home and school during the COVID-19 pandemic. Another concern is that the availability of public transportation facilities is being limited by a lack of conventional transportation as result of this policy. The greatest impact on this variable is the appropriateness of the price, as customers of the service are typically users on a daily basis. Online transportation is considered more effective in terms of distance because there is a mapping application or location that is provided by service providers or drivers in specific areas. The coefficient of determination is a statistical measure used to evaluate the accuracy of a model in predicting future outcomes. The model is generally accurate because all of the variables are significant and have a direct effect on the dependent variables. The F-test value associated with the coefficient was 33.927, and the level of significance was >0.0001. The following describes the results of the t-test regarding the effect of variables on variables: Reliability The value of the t-count is 2.358 > 1.68, and the significance value is 0.013 < 0.05. Responsiveness The t-count of 9.513 is greater than 1.68, and the associated significance level is 0.0001 which is less than 0.05.

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Section: Research Methods Location Of Researchmentioning

confidence: 99%

Section: Research Methods Location Of Researchmentioning

confidence: 99%

Investigation and Analysis of People Preferences in Choosing Public Transportation During COVID-19 Pandemic: Statistical Approach and Case Study in Malang City

Amrullah,

Mudjanarko

2023

Astonjadro

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“…Another thing that needs to be considered is implementing improved ventilation systems to reduce the risk of spread through the air. (Guerrieri & Parla, 2022), propose that every public transportation needs a tool or system to measure in real-time the physical distance between passengers, detect passengers with face masks, and provide useful information for transportation operators to optimize bus capacity.…”

Section: Source: Lou Et Al (2020)mentioning

confidence: 99%

Public Transportation Strategy in Response to Covid-19

Farizd,

Wahyuni,

Yamani

2023

JOSR

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The COVID-19 pandemic has had a significant impact on public transportation worldwide. At the beginning of the pandemic, public transportation systems reduced their performance by 80-90% in major cities in China, Iran, and the United States, and by 70% in the UK, including a significant decline in Indonesia. Several studies have shown that public transportation contributes significantly to the spread of the COVID-19 virus. This study aims to review the use of public transportation during the COVID-19 pandemic. Method: A systematic review using the PRISMA guidelines was conducted on literature published between 2020-2023 with inclusion criteria of national and international research articles in English related to the title "Public Transportation Strategy in Response to COVID-19". The database sources used were Scopus, Google Scholar, and PubMed. Results: Based on the literature review, it is concluded that efforts to reduce the risk of COVID-19 transmission in public transportation include providing personal protective equipment (PPE) for all public transportation crew, implementing strict physical distancing policies among passengers inside the vehicle, ensuring good ventilation, and enforcing the use of masks and hand hygiene. Another solution is to provide non-cash payment options to reduce physical contact between passengers and transportation personnel. The government and public transportation operators should consistently prepare supporting facilities and educate users about physical distancing, using masks, and hand hygiene through posters, social media, and regular announcements in public transportation areas. Implementing strategies in public transportation in response to COVID-19 requires collaboration between the government, transportation operators, and the public.

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“…The modeling framework combines the health conditions produced by wearable sensor devices and traces the distance among unaffected people. The modeling framework provides different strategies using a surveillance monitoring system [13,14]. The physical distance scenarios are estimated based on people's health conditions, improving the accuracy of the infectious disease detection process [15].…”

Section: Introductionmentioning

confidence: 99%

Consistent Healthcare Safety Recommendation System for Preventing Contagious Disease Infections in Human Crowds

Amoon,

Altameem,

Hashem

2023

Sensors

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The recent impact of COVID-19, as a contagious disease, led researchers to focus on designing and fabricating personal healthcare devices and systems. With the help of wearable sensors, sensing and communication technologies, and recommendation modules, personal healthcare systems were designed for ease of use. More specifically, personal healthcare systems were designed to provide recommendations for maintaining a safe distance and avoiding contagious disease spread after the COVID-19 pandemic. The personal recommendations are analyzed based on the wearable sensor signals and their consistency in sensing. This consistency varies with human movements or other activities that hike/cease the sensor values abruptly for a short period. Therefore, a consistency-focused recommendation system (CRS) for personal healthcare (PH) was designed in this research. The hardware sensing intervals for the system are calibrated per the conventional specifications from which abrupt changes can be observed. The changes are analyzed for their saturation and fluctuations observed from neighbors within the threshold distance. The saturation and fluctuation classifications are performed using random forest learning to differentiate the above data from the previously sensed healthy data. In this process, the saturated data and consistency data provide safety recommendations for the moving user. The consistency is verified for a series of intervals for the fluctuating sensed data. This alerts the user if the threshold distance for a contagious disease is violated. The proposed system was validated using a prototype model and experimental analysis through false rates, data analysis rates, and fluctuations.

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Real-time social distance measurement and face mask detection in public transportation systems during the COVID-19 pandemic and post-pandemic Era: Theoretical approach and case study in Italy

Cited by 8 publications

References 28 publications

Investigation and Analysis of People Preferences in Choosing Public Transportation During COVID-19 Pandemic: Statistical Approach and Case Study in Malang City

Investigation and Analysis of People Preferences in Choosing Public Transportation During COVID-19 Pandemic: Statistical Approach and Case Study in Malang City

Public Transportation Strategy in Response to Covid-19

Consistent Healthcare Safety Recommendation System for Preventing Contagious Disease Infections in Human Crowds

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