Metro travel and perceived COVID-19 infection risks: A case study of Hong Kong

Zhou, Mingzhi; Ma, Hanxi; Wu, Jiangyue; Zhou, Jiangping

doi:10.1016/j.cities.2023.104307

Cited by 7 publications

(3 citation statements)

References 105 publications

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“…One exception is that the MTR station density did not work when the measuring range was expanded to the full year of 2020. A possible explanation is that people's travel behavior was reshaped after experiencing four surge outbreaks, as other studies found [69], weaking the effect of accessibility.…”

Section: Discussionmentioning

confidence: 94%

“…The result indicated that the importance of accessibility appeared to have been significantly undermined during the COVID-19 period. This is possibly related to peoples' altered travel preferences and fear of catching the virus [69]. A worldwide reduction in public transit 'ridership' was observed, together with a shift from public transport to private car-based/bicycle-based commuting [70,71].…”

Section: Results Of Two Ordinary Least-squares Regression Modelsmentioning

confidence: 99%

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Evaluation of the Resilience of the Catering Industry in Hong Kong before and after the COVID-19 Outbreak Based on Point-of-Interest Data

Liu,

Shi,

et al. 2023

IJGI

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COVID-19 has caused a serious economic shock which challenges the resilience of businesses around the world. Understanding the spatial distribution pattern of business resilience, as well as identifying factors that promote business resilience, is crucial to economic recovery. Most existing studies mainly analyze one side of the concept of resilience, such as how businesses closed, expanded, and innovated, while no studies take all the characteristics of resilience into account and analyze them from a geographical view. To fill this gap, this study first relates the method of calculating stability in ecology to geography, and proposes a point of interest (POI)-based index to evaluate an industry’s resilience in a city. Then, with the catering industry in Hong Kong as an example, the spatial distribution of resilience in June 2020 and December 2020 is investigated using the local indicators of spatial association (LISA) approach. An ordinary least squares (OLS) regression model is adopted to identify impactful factors on resilience. The results reveal that the resilience of restaurants is quite stable in local central areas, but areas near the checking points at Shenzhen in mainland China are severely affected. Most traditional location factors had the benefit of stabilization, while hospitals had negative responses. The presented analysis framework is possible to be easily generalized to other industries or cities. The overall result of the study provides a spatial understanding which would be essential as a reference for future urban planning regarding post-pandemic recovery.

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Section: Discussionmentioning

confidence: 94%

Section: Results Of Two Ordinary Least-squares Regression Modelsmentioning

confidence: 99%

Evaluation of the Resilience of the Catering Industry in Hong Kong before and after the COVID-19 Outbreak Based on Point-of-Interest Data

Liu,

Shi,

et al. 2023

IJGI

View full text Add to dashboard Cite

show abstract

“…Women are frequently disproportionately excluded from formal financial institutions due to different structural, legal, and cultural hurdles, according to studies by Ali et al (2022) and Zhou et al (2023). Less agreement exists, though, on the precise impact of these gender discrepancies on financial inclusion in various Asian nations, which is what this study aims to investigate.…”

Section: Literature Reviewmentioning

confidence: 93%

The impact of socioeconomic variables on financial inclusion in Asian countries: A comparative study, 2010–2022

Anwar,

Sabbar,

Saifulloh

et al. 2023

J. Infras. Policy. Dev.

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The financial inclusion program in Asia has begun to be carried out intensively, focusing on increasing public access, especially for people who have yet to enjoy banking services. This makes financial inclusion one of the development focuses in the financial sector in various countries, especially in the Asian region. This study compares the financial inclusion level and socioeconomic variables’ influence on financial inclusion in Asian countries in 2010–2022. To compare the level of financial inclusion in several Asian countries, the Index of Financial Inclusion (IFI) analysis method was used, while to examine the relationship between socioeconomic variables on financial inclusion, the Ordinary Least Square (OLS) method was used with an estimation technique, in the Fixed Effects Model approach. The results of this study indicate that, in general, financial inclusion in several Asian countries is mainly influenced by the usability dimension. In addition, only the variable GDP per capita is partially influential. While other variables, namely, the unemployment rate and population in rural areas, significantly influence the financial inclusion index.

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Impact Evaluation of COVID-19 on Transit Ridership: A Case Study of the Beijing Subway

Wang,

Guo,

Zou

et al. 2024

Urban Rail Transit

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A comprehensive understanding of the multifaceted ramifications of the coronavirus disease 2019 (COVID-19) on transit ridership is imperative for the optimization of judicious traffic management policies. The intricate influences of this pandemic exhibit a high degree of complexity, dynamically evolving across spatial and temporal dimensions. At present, a nuanced understanding remains elusive regarding whether disparate influencing factors govern inbound and outbound passenger flows. This study propels the discourse forward by introducing a methodological synthesis that integrates time series anomaly detection, impact inference, and spatiotemporal analysis. This amalgamation establishes an analytical framework instrumental in elucidating the spatiotemporal heterogeneity intrinsic to individual impact events, grounded in extensive time series data. The resulting framework facilitates a nuanced delineation, affording a more precise extraction of the COVID-19 impact on subway ridership. Empirical findings derived from the daily trip data of the Beijing subway in 2020 substantiate the existence of conspicuous spatiotemporal variability in the determinants influencing relative shifts in inbound and outbound ridership. Notably, stations situated in high-risk areas manifest a conspicuous absence of correlation with outbound trips, exhibiting a discernibly negative impact solely on inbound trips. Conversely, stations servicing residential and enterprise locales demonstrate resilience, evincing an absence of significant perturbation induced by the outbreak.

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Metro travel and perceived COVID-19 infection risks: A case study of Hong Kong

Cited by 7 publications

References 105 publications

Evaluation of the Resilience of the Catering Industry in Hong Kong before and after the COVID-19 Outbreak Based on Point-of-Interest Data

Evaluation of the Resilience of the Catering Industry in Hong Kong before and after the COVID-19 Outbreak Based on Point-of-Interest Data

The impact of socioeconomic variables on financial inclusion in Asian countries: A comparative study, 2010–2022

Impact Evaluation of COVID-19 on Transit Ridership: A Case Study of the Beijing Subway

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