The Urban Characteristics of High Economic Resilient Neighborhoods during the COVID-19 Pandemic: A Case of Suwon, South Korea

Abstract

Infectious diseases and pandemics, including the COVID-19 pandemic, have a huge economic impact on cities. However, few studies examine the economic resilience of small-scale regions within cities. Thus, this study derives neighborhoods with high economic resilience in a pandemic situation and reveals their urban characteristics. It evaluates economic resilience by analyzing changes in the amount of credit card payments in the neighborhood and classifying the types of neighborhoods therefrom. The study conducted the ANOVA, Kruskal–Wallis, and post hoc tests to analyze the difference in urban characteristics between neighborhood types. Accordingly, three neighborhood types emerged from the analysis: high-resilient neighborhood, low-resilient neighborhood, and neighborhood that benefited from the pandemic. The high-resilient neighborhood is a low-density residential area where many elderly people live. Neighborhoods that benefited are residential areas mainly located in high-density apartments where many families of parents and children live. The low-resilient neighborhood is an area with many young people and small households, many studio-type small houses, and a high degree of land-use mix.

Social Adaptation of Students in a Multicultural Environment during Distance Learning

“…Resilience in the process of adaptation is characterized by people's sociability, openness to the outside world, ease of expression, originality, uniqueness, both for themselves and others, the ability to accept themselves as they are, aversion to self-blame, a sense that life has meaning. These data contradict the research of Zhang, Wang, Yang, and Wang (2020), but are confirmed in the research of Oleksy et al (2021), as well as Hong and Choi (2021). In their study, Zhang, et al (2020) note the low students' ability of social adaptation during distance learning.…”

Towards building resilient cities to pandemics: A review of COVID-19 literature

“…Even though the decentralization of facilities and population is suggested in cities, there are contradictory views on the effects of density on the COVID-19 spread ( Barak et al, 2021 ; Carozzi et al, 2020 ; Hong and Choi, 2021 ; Khavarian-Garmsir et al, 2021 ). On the one hand, some believe that population density is an effective predictor of infection ( Lee et al, 2021 ; Wong and Li, 2020 ; Atalan, 2020 ), and COVID-19 transmission was faster in areas with higher density because of an increase in contact rate between people ( Baser, 2021 ; Bhadra et al, 2021 ; Block et al, 2020 ; Kadi and Khelfaoui, 2020 ; Sy et al, 2021 ).…”

Framework for Assessing Urban Energy Sustainability

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