Implementation of non-pharmaceutical intervention of COVID-19 in MRT through engineering controlled queue line using participatory ergonomics approach

The viral transmission in public places and transportations can be minimized by following the world health organization (WHO) guideline. However, the uncertainty in a dynamic system complicates the social engagement to the physical distancing regulation. This study aims to overcome this obstacle in...

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Autores principales:	Sugiono Sugiono, Willy Satrio N, Teuku Anggara, Siti Nurlaela, Andyka Kusuma, Achmad Wicaksono, Rio P. Lukodono
Formato:	article
Lenguaje:	EN
Publicado:	Scientific Route OÜ 2021
Materias:	transport ergonomics mrt adaptive information queue line management visual display Mechanical engineering and machinery TJ1-1570 Physics QC1-999
Acceso en línea:	https://doaj.org/article/3fb4b6d9f49e465a816a91dfc86c1c2a
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spelling	oai:doaj.org-article:3fb4b6d9f49e465a816a91dfc86c1c2a2021-11-19T13:32:07ZImplementation of non-pharmaceutical intervention of COVID-19 in MRT through engineering controlled queue line using participatory ergonomics approach2461-42542461-426210.21303/2461-4262.2021.001923https://doaj.org/article/3fb4b6d9f49e465a816a91dfc86c1c2a2021-11-01T00:00:00Zhttp://journal.eu-jr.eu/engineering/article/view/1923https://doaj.org/toc/2461-4254https://doaj.org/toc/2461-4262The viral transmission in public places and transportations can be minimized by following the world health organization (WHO) guideline. However, the uncertainty in a dynamic system complicates the social engagement to the physical distancing regulation. This study aims to overcome this obstacle in MRT stations and train by developing an adaptive queue line system. The system was developed using low-cost hardware and open-source software to guide passengers using visual information. The system works by capturing seat images and identify the presence of humans using a cloud machine learning service. The physical representation of MRT was translated to data representation using the internet of things (IoT). The data then streamed using an asynchronous API with a representative endpoint. The endpoint is then accessed by a display computer in the destination station platform to provide visual information. The visual information was ergonomically designed with visual display principles, including the minimum content load, layout, color combination, and dimension of contents. The design of the system was evaluated by Markov simulation of virus transmission in train and usability testing of the visual design. The implementation of the system has balanced the queue line capacity in station and crowd spots distribution in MRT. The system was effective due to the visual cortex manipulation by visual information. Consequently, the aerosol and falling droplets' viral transmission radius can be reduced. Accordingly, the chance for airborne transmission can be lowered. Therefore, the adaptive queue line system is a non-pharmaceutical intervention of viral transmission diseases in public transportationSugiono SugionoWilly Satrio NTeuku AnggaraSiti NurlaelaAndyka KusumaAchmad WicaksonoRio P. LukodonoScientific Route OÜarticletransport ergonomicsmrtadaptive informationqueue line managementvisual displayMechanical engineering and machineryTJ1-1570PhysicsQC1-999ENEUREKA: Physics and Engineering, Iss 6, Pp 121-138 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	transport ergonomics mrt adaptive information queue line management visual display Mechanical engineering and machinery TJ1-1570 Physics QC1-999
spellingShingle	transport ergonomics mrt adaptive information queue line management visual display Mechanical engineering and machinery TJ1-1570 Physics QC1-999 Sugiono Sugiono Willy Satrio N Teuku Anggara Siti Nurlaela Andyka Kusuma Achmad Wicaksono Rio P. Lukodono Implementation of non-pharmaceutical intervention of COVID-19 in MRT through engineering controlled queue line using participatory ergonomics approach
description	The viral transmission in public places and transportations can be minimized by following the world health organization (WHO) guideline. However, the uncertainty in a dynamic system complicates the social engagement to the physical distancing regulation. This study aims to overcome this obstacle in MRT stations and train by developing an adaptive queue line system. The system was developed using low-cost hardware and open-source software to guide passengers using visual information. The system works by capturing seat images and identify the presence of humans using a cloud machine learning service. The physical representation of MRT was translated to data representation using the internet of things (IoT). The data then streamed using an asynchronous API with a representative endpoint. The endpoint is then accessed by a display computer in the destination station platform to provide visual information. The visual information was ergonomically designed with visual display principles, including the minimum content load, layout, color combination, and dimension of contents. The design of the system was evaluated by Markov simulation of virus transmission in train and usability testing of the visual design. The implementation of the system has balanced the queue line capacity in station and crowd spots distribution in MRT. The system was effective due to the visual cortex manipulation by visual information. Consequently, the aerosol and falling droplets' viral transmission radius can be reduced. Accordingly, the chance for airborne transmission can be lowered. Therefore, the adaptive queue line system is a non-pharmaceutical intervention of viral transmission diseases in public transportation
format	article
author	Sugiono Sugiono Willy Satrio N Teuku Anggara Siti Nurlaela Andyka Kusuma Achmad Wicaksono Rio P. Lukodono
author_facet	Sugiono Sugiono Willy Satrio N Teuku Anggara Siti Nurlaela Andyka Kusuma Achmad Wicaksono Rio P. Lukodono
author_sort	Sugiono Sugiono
title	Implementation of non-pharmaceutical intervention of COVID-19 in MRT through engineering controlled queue line using participatory ergonomics approach
title_short	Implementation of non-pharmaceutical intervention of COVID-19 in MRT through engineering controlled queue line using participatory ergonomics approach
title_full	Implementation of non-pharmaceutical intervention of COVID-19 in MRT through engineering controlled queue line using participatory ergonomics approach
title_fullStr	Implementation of non-pharmaceutical intervention of COVID-19 in MRT through engineering controlled queue line using participatory ergonomics approach
title_full_unstemmed	Implementation of non-pharmaceutical intervention of COVID-19 in MRT through engineering controlled queue line using participatory ergonomics approach
title_sort	implementation of non-pharmaceutical intervention of covid-19 in mrt through engineering controlled queue line using participatory ergonomics approach
publisher	Scientific Route OÜ
publishDate	2021
url	https://doaj.org/article/3fb4b6d9f49e465a816a91dfc86c1c2a
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Implementation of non-pharmaceutical intervention of COVID-19 in MRT through engineering controlled queue line using participatory ergonomics approach

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