Measures to prevent and control the spread of novel coronavirus disease (COVID-19) infection in tourism locations

Nagai, Hideyuki; Kurahashi, Setsuya

doi:10.1080/18824889.2021.2012398

Cited by 6 publications

(9 citation statements)

References 16 publications

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“…Both domestic and international tourists looked forward to either traveling or revisiting to a variety of destinations in Thailand. Hence, NNT was established in preventing the spreading of Covid-19 infection and ensuring Thailand was a safe destination for tourists (Nagai and Kurahashi, 2022). Indeed, NTT enhanced the procedures of tourism and healthy standards on cleanliness, sanitation and other possible factors to prevent the Covid-19 infection.…”

Section: New Normal Tourism In the Covid-19 Pandemicmentioning

confidence: 99%

New Normal Tourism Behavior of Free Independent Travelers in the Covid-19 Pandemic

Aujirapongpan

Boonkaew²,

Nuanjan³

et al. 2023

J. Professional Business Review

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Purpose: This research intended to investigate the motivation and behavior of free independent travelers (FITs) who traveled to Southern Thailand in the Covid-19 pandemic. Theoretical framework: Studies on tourist motivation and behavior would provide more insightful implications and Covid-19 safeguards for tourism businesses especially in Southern Thailand – a dominant destination for domestic tourism demand. Design/methodology/approach: Data was collected from 400 domestic FITs using a questionnaire survey, processed in SPSS software, and analyzed with descriptive statistics, Chi-square, and One-way ANOVA. Findings: The highest level of overall pull and push motivations of domestic FITs while traveling to Southern Thailand. The highest level of pull motivation identified in this study was a promotional scheme, called “WE TRAVEL TOGETHER” the government-subsidized 40% of accommodation expenses to increase tourism demand. Research, Practical & Social implications: Comparative responses to SHA Plus standard between domestic and international tourists using both qualitative and quantitative data from all stakeholders involved would provide a variety of insightful and beneficial perspectives on NNT in the Covid-19 pandemic. Originality/value: CCSA should pay more attention on this particular behavior of tourists which might easily spread the disease to others. Everyone should be more aware of this risk and show their greater responsible practice in society.

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Section: New Normal Tourism In the Covid-19 Pandemicmentioning

confidence: 99%

New Normal Tourism Behavior of Free Independent Travelers in the Covid-19 Pandemic

Aujirapongpan

Boonkaew²,

Nuanjan³

et al. 2023

J. Professional Business Review

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“…Fig. 2 shows attributes for each household member in a synthetic population synthesized by our method [6], [7], [8]. Four address attributes are assigned to each household, such as (A) prefecture, (B) city, (C) small area in the city, and (D) home coordinate (latitude and longitude).…”

Section: A Attributes Of Household Members In Synthetic Populationmentioning

confidence: 99%

“…Attributes (A) and (B) and ( 1)-( 3) of each household in Fig. 2 are synthesized according to statistics aggregated by prefecture and by city, town, or village [6]. To assign households to small areas in a city, we utilize the number of residents by sex in each small area [7].…”

Section: A Attributes Of Household Members In Synthetic Populationmentioning

confidence: 99%

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Workplace Assignment to Workers in Synthetic Populations in Japan

Murata

Iwase

Harada

2023

IEEE Trans. Comput. Soc. Syst.

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In this article, we assign workplace attributes to each worker in each household in a synthetic population using multiple censuses conducted in Japan. The synthetic population is a set of artificial individual attributes for each resident that is synthesized according to census data. We have synthesized a set of the synthetic populations of Japan. We assign a workplace attribute to each worker to estimate daytime population distribution and develop activity-based models in agent-based or microsimulations. Although statistical information in a residential area or a working place is released by the government and some individual moving data are released by cellphone companies, it is hard to collect the information with home and workplace location of a worker with their family and working information. We employ origin-destination-industry (ODI) statistics to estimate workplaces for workers. Since some attributes in ODI statistics are not available for privacy reasons, we propose a workplace assignment method for all cities, towns, and villages using restricted ODI and OD statistics in Japan. We show how much difference there are between the number of workers using the complete ODI statistics and the number of workers by the proposed workplace assignment method. We show that 88.2% of workers in a city in Japan are assigned to correct cities as workplaces by our proposed method. We also show several maps of daytime population distributions by our proposed method. Synthetic populations with workplace attributes enable real-scale social simulations to design transport or business systems in times of peace or to estimate victims and plan recoveries in times of emergency, such as disasters or pandemics.

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“…As reported by the UNWTO (2022), in 2021 international arrivals were 72% below the pre-pandemic year of 2019, being also expected that the total recovery could not be achieved until 2024 or beyond. The long-term negative impacts of COVID-19 on the global tourism aroused a lot of discussion on prevention measures, for instance, strict isolation and PCR testing (Nagai & Kurahashi, 2022), and appealed to the construction of public health infrastructure (e.g. contact tracking, sanitation, distancing) (V arzaru, Bocean, & Cazacu, 2021).…”

Section: Introductionmentioning

confidence: 99%

Tourism and COVID-19 in China: recovery and resilience strategies of main Chinese tourism cities

Yang

Hernández‐Lara

2022

IJTC

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Purpose The purpose of this study is to investigate the recovery and resilience tourism strategies and possible future development of four main Chinese tourism cities. Design/methodology/approach The authors collected data from the official accounts of tourism administrations of these cities, tourist attractions and opinions from media and newspapers in Sina Weibo platform. The authors adopted an inductive approach in observing relevant social media posts and applied content analysis to identify main China’s tourism prevention and recovery strategies. Findings During the mass pandemic infection period, top-down prevention and control measures were implemented by the Chinese central and local governments, with feasible and regional recovery policies and protocols being adapted according to local situations. Measures related to tourism industrial re-employment, improvement of international images and governmental financial supports to re-boost local tourism in Chinese cities were paid great attention. Digitalization, close-to-nature and cultural heritages became important factors in the future development of China’s tourism. Dark tourism, as a potential tourism recovery strategy, also obtained huge emergence, for the memory of people deceased in the pandemic and for the inheritance of national patriotism. Originality/value This study enriches the current literature in urban tourism recovery studies analyzing the specific case of Chinese tourism cities and fulfill some voids of previous research mostly focused on the first wave of the pandemic and the recovery strategies mainly of Western cities. It also provides valuable suggestions to tourism practitioners, destinations and urban cities in dealing with regional tourism recession and finding possible solutions for the scenario associated to the COVID-19 and other similar health crisis.

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Measures to prevent and control the spread of novel coronavirus disease (COVID-19) infection in tourism locations

Cited by 6 publications

References 16 publications

New Normal Tourism Behavior of Free Independent Travelers in the Covid-19 Pandemic

New Normal Tourism Behavior of Free Independent Travelers in the Covid-19 Pandemic

Workplace Assignment to Workers in Synthetic Populations in Japan

Tourism and COVID-19 in China: recovery and resilience strategies of main Chinese tourism cities

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